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import Mathlib.Algebra.BigOperators.Finprod import Mathlib.Algebra.Group.ConjFinite import Mathlib.Algebra.Group.Subgroup.Finite import Mathlib.Data.Set.Card import Mathlib.GroupTheory.Subgroup.Center open MulAction ConjClasses variable (G : Type*) [Group G] theorem sum_conjClasses_card_eq_card [Fintype <| ConjClasses G] [Fintype G] [∀ x : ConjClasses G, Fintype x.carrier] : ∑ x : ConjClasses G, x.carrier.toFinset.card = Fintype.card G := by suffices (Σ x : ConjClasses G, x.carrier) ≃ G by simpa using (Fintype.card_congr this) simpa [carrier_eq_preimage_mk] using Equiv.sigmaFiberEquiv ConjClasses.mk theorem Group.sum_card_conj_classes_eq_card [Finite G] : ∑ᶠ x : ConjClasses G, x.carrier.ncard = Nat.card G := by classical cases nonempty_fintype G rw [Nat.card_eq_fintype_card, ← sum_conjClasses_card_eq_card, finsum_eq_sum_of_fintype] simp [Set.ncard_eq_toFinset_card']
Mathlib/GroupTheory/ClassEquation.lean
47
70
theorem Group.nat_card_center_add_sum_card_noncenter_eq_card [Finite G] : Nat.card (Subgroup.center G) + ∑ᶠ x ∈ noncenter G, Nat.card x.carrier = Nat.card G := by
classical cases nonempty_fintype G rw [@Nat.card_eq_fintype_card G, ← sum_conjClasses_card_eq_card, ← Finset.sum_sdiff (ConjClasses.noncenter G).toFinset.subset_univ] simp only [Nat.card_eq_fintype_card, Set.toFinset_card] congr 1 swap · convert finsum_cond_eq_sum_of_cond_iff _ _ simp [Set.mem_toFinset] calc Fintype.card (Subgroup.center G) = Fintype.card ((noncenter G)ᶜ : Set _) := Fintype.card_congr ((mk_bijOn G).equiv _) _ = Finset.card (Finset.univ \ (noncenter G).toFinset) := by rw [← Set.toFinset_card, Set.toFinset_compl, Finset.compl_eq_univ_sdiff] _ = _ := ?_ rw [Finset.card_eq_sum_ones] refine Finset.sum_congr rfl ?_ rintro ⟨g⟩ hg simp only [noncenter, Set.not_subsingleton_iff, Set.toFinset_setOf, Finset.mem_univ, true_and, forall_true_left, Finset.mem_sdiff, Finset.mem_filter, Set.not_nontrivial_iff] at hg rw [eq_comm, ← Set.toFinset_card, Finset.card_eq_one] exact ⟨g, Finset.coe_injective <| by simpa using hg.eq_singleton_of_mem mem_carrier_mk⟩
0
import Mathlib.RingTheory.WittVector.Basic import Mathlib.RingTheory.WittVector.IsPoly #align_import ring_theory.witt_vector.init_tail from "leanprover-community/mathlib"@"0798037604b2d91748f9b43925fb7570a5f3256c" variable {p : ℕ} [hp : Fact p.Prime] (n : ℕ) {R : Type*} [CommRing R] -- type as `\bbW` local notation "𝕎" => WittVector p namespace WittVector open MvPolynomial open scoped Classical noncomputable section section def select (P : ℕ → Prop) (x : 𝕎 R) : 𝕎 R := mk p fun n => if P n then x.coeff n else 0 #align witt_vector.select WittVector.select section Select variable (P : ℕ → Prop) def selectPoly (n : ℕ) : MvPolynomial ℕ ℤ := if P n then X n else 0 #align witt_vector.select_poly WittVector.selectPoly theorem coeff_select (x : 𝕎 R) (n : ℕ) : (select P x).coeff n = aeval x.coeff (selectPoly P n) := by dsimp [select, selectPoly] split_ifs with hi · rw [aeval_X, mk]; simp only [hi]; rfl · rw [AlgHom.map_zero, mk]; simp only [hi]; rfl #align witt_vector.coeff_select WittVector.coeff_select -- Porting note: replaced `@[is_poly]` with `instance`. Made the argument `P` implicit in doing so. instance select_isPoly {P : ℕ → Prop} : IsPoly p fun _ _ x => select P x := by use selectPoly P rintro R _Rcr x funext i apply coeff_select #align witt_vector.select_is_poly WittVector.select_isPoly theorem select_add_select_not : ∀ x : 𝕎 R, select P x + select (fun i => ¬P i) x = x := by -- Porting note: TC search was insufficient to find this instance, even though all required -- instances exist. See zulip: [https://leanprover.zulipchat.com/#narrow/stream/287929-mathlib4/topic/WittVector.20saga/near/370073526] have : IsPoly p fun {R} [CommRing R] x ↦ select P x + select (fun i ↦ ¬P i) x := IsPoly₂.diag (hf := IsPoly₂.comp) ghost_calc x intro n simp only [RingHom.map_add] suffices (bind₁ (selectPoly P)) (wittPolynomial p ℤ n) + (bind₁ (selectPoly fun i => ¬P i)) (wittPolynomial p ℤ n) = wittPolynomial p ℤ n by apply_fun aeval x.coeff at this simpa only [AlgHom.map_add, aeval_bind₁, ← coeff_select] simp only [wittPolynomial_eq_sum_C_mul_X_pow, selectPoly, AlgHom.map_sum, AlgHom.map_pow, AlgHom.map_mul, bind₁_X_right, bind₁_C_right, ← Finset.sum_add_distrib, ← mul_add] apply Finset.sum_congr rfl refine fun m _ => mul_eq_mul_left_iff.mpr (Or.inl ?_) rw [ite_pow, zero_pow (pow_ne_zero _ hp.out.ne_zero)] by_cases Pm : P m · rw [if_pos Pm, if_neg $ not_not_intro Pm, zero_pow Fin.size_pos'.ne', add_zero] · rwa [if_neg Pm, if_pos, zero_add] #align witt_vector.select_add_select_not WittVector.select_add_select_not
Mathlib/RingTheory/WittVector/InitTail.lean
112
133
theorem coeff_add_of_disjoint (x y : 𝕎 R) (h : ∀ n, x.coeff n = 0 ∨ y.coeff n = 0) : (x + y).coeff n = x.coeff n + y.coeff n := by
let P : ℕ → Prop := fun n => y.coeff n = 0 haveI : DecidablePred P := Classical.decPred P set z := mk p fun n => if P n then x.coeff n else y.coeff n have hx : select P z = x := by ext1 n; rw [select, coeff_mk, coeff_mk] split_ifs with hn · rfl · rw [(h n).resolve_right hn] have hy : select (fun i => ¬P i) z = y := by ext1 n; rw [select, coeff_mk, coeff_mk] split_ifs with hn · exact hn.symm · rfl calc (x + y).coeff n = z.coeff n := by rw [← hx, ← hy, select_add_select_not P z] _ = x.coeff n + y.coeff n := by simp only [z, mk.eq_1] split_ifs with y0 · rw [y0, add_zero] · rw [h n |>.resolve_right y0, zero_add]
0
import Mathlib.Tactic.Ring import Mathlib.Data.PNat.Prime #align_import data.pnat.xgcd from "leanprover-community/mathlib"@"6afc9b06856ad973f6a2619e3e8a0a8d537a58f2" open Nat namespace PNat structure XgcdType where wp : ℕ x : ℕ y : ℕ zp : ℕ ap : ℕ bp : ℕ deriving Inhabited #align pnat.xgcd_type PNat.XgcdType namespace XgcdType variable (u : XgcdType) instance : SizeOf XgcdType := ⟨fun u => u.bp⟩ instance : Repr XgcdType where reprPrec | g, _ => s!"[[[{repr (g.wp + 1)}, {repr g.x}], \ [{repr g.y}, {repr (g.zp + 1)}]], \ [{repr (g.ap + 1)}, {repr (g.bp + 1)}]]" def mk' (w : ℕ+) (x : ℕ) (y : ℕ) (z : ℕ+) (a : ℕ+) (b : ℕ+) : XgcdType := mk w.val.pred x y z.val.pred a.val.pred b.val.pred #align pnat.xgcd_type.mk' PNat.XgcdType.mk' def w : ℕ+ := succPNat u.wp #align pnat.xgcd_type.w PNat.XgcdType.w def z : ℕ+ := succPNat u.zp #align pnat.xgcd_type.z PNat.XgcdType.z def a : ℕ+ := succPNat u.ap #align pnat.xgcd_type.a PNat.XgcdType.a def b : ℕ+ := succPNat u.bp #align pnat.xgcd_type.b PNat.XgcdType.b def r : ℕ := (u.ap + 1) % (u.bp + 1) #align pnat.xgcd_type.r PNat.XgcdType.r def q : ℕ := (u.ap + 1) / (u.bp + 1) #align pnat.xgcd_type.q PNat.XgcdType.q def qp : ℕ := u.q - 1 #align pnat.xgcd_type.qp PNat.XgcdType.qp def vp : ℕ × ℕ := ⟨u.wp + u.x + u.ap + u.wp * u.ap + u.x * u.bp, u.y + u.zp + u.bp + u.y * u.ap + u.zp * u.bp⟩ #align pnat.xgcd_type.vp PNat.XgcdType.vp def v : ℕ × ℕ := ⟨u.w * u.a + u.x * u.b, u.y * u.a + u.z * u.b⟩ #align pnat.xgcd_type.v PNat.XgcdType.v def succ₂ (t : ℕ × ℕ) : ℕ × ℕ := ⟨t.1.succ, t.2.succ⟩ #align pnat.xgcd_type.succ₂ PNat.XgcdType.succ₂ theorem v_eq_succ_vp : u.v = succ₂ u.vp := by ext <;> dsimp [v, vp, w, z, a, b, succ₂] <;> ring_nf #align pnat.xgcd_type.v_eq_succ_vp PNat.XgcdType.v_eq_succ_vp def IsSpecial : Prop := u.wp + u.zp + u.wp * u.zp = u.x * u.y #align pnat.xgcd_type.is_special PNat.XgcdType.IsSpecial def IsSpecial' : Prop := u.w * u.z = succPNat (u.x * u.y) #align pnat.xgcd_type.is_special' PNat.XgcdType.IsSpecial'
Mathlib/Data/PNat/Xgcd.lean
150
156
theorem isSpecial_iff : u.IsSpecial ↔ u.IsSpecial' := by
dsimp [IsSpecial, IsSpecial'] let ⟨wp, x, y, zp, ap, bp⟩ := u constructor <;> intro h <;> simp [w, z, succPNat] at * <;> simp only [← coe_inj, mul_coe, mk_coe] at * · simp_all [← h, Nat.mul, Nat.succ_eq_add_one]; ring · simp [Nat.succ_eq_add_one, Nat.mul_add, Nat.add_mul, ← Nat.add_assoc] at h; rw [← h]; ring
0
import Mathlib.Algebra.MonoidAlgebra.Division import Mathlib.Algebra.MvPolynomial.Basic #align_import data.mv_polynomial.division from "leanprover-community/mathlib"@"72c366d0475675f1309d3027d3d7d47ee4423951" variable {σ R : Type*} [CommSemiring R] namespace MvPolynomial theorem monomial_dvd_monomial {r s : R} {i j : σ →₀ ℕ} : monomial i r ∣ monomial j s ↔ (s = 0 ∨ i ≤ j) ∧ r ∣ s := by constructor · rintro ⟨x, hx⟩ rw [MvPolynomial.ext_iff] at hx have hj := hx j have hi := hx i classical simp_rw [coeff_monomial, if_pos] at hj hi simp_rw [coeff_monomial_mul'] at hi hj split_ifs at hi hj with hi hi · exact ⟨Or.inr hi, _, hj⟩ · exact ⟨Or.inl hj, hj.symm ▸ dvd_zero _⟩ -- Porting note: two goals remain at this point in Lean 4 · simp_all only [or_true, dvd_mul_right, and_self] · simp_all only [ite_self, le_refl, ite_true, dvd_mul_right, or_false, and_self] · rintro ⟨h | hij, d, rfl⟩ · simp_rw [h, monomial_zero, dvd_zero] · refine ⟨monomial (j - i) d, ?_⟩ rw [monomial_mul, add_tsub_cancel_of_le hij] #align mv_polynomial.monomial_dvd_monomial MvPolynomial.monomial_dvd_monomial @[simp] theorem monomial_one_dvd_monomial_one [Nontrivial R] {i j : σ →₀ ℕ} : monomial i (1 : R) ∣ monomial j 1 ↔ i ≤ j := by rw [monomial_dvd_monomial] simp_rw [one_ne_zero, false_or_iff, dvd_rfl, and_true_iff] #align mv_polynomial.monomial_one_dvd_monomial_one MvPolynomial.monomial_one_dvd_monomial_one @[simp] theorem X_dvd_X [Nontrivial R] {i j : σ} : (X i : MvPolynomial σ R) ∣ (X j : MvPolynomial σ R) ↔ i = j := by refine monomial_one_dvd_monomial_one.trans ?_ simp_rw [Finsupp.single_le_iff, Nat.one_le_iff_ne_zero, Finsupp.single_apply_ne_zero, ne_eq, not_false_eq_true, and_true] set_option linter.uppercaseLean3 false in #align mv_polynomial.X_dvd_X MvPolynomial.X_dvd_X @[simp]
Mathlib/Algebra/MvPolynomial/Division.lean
260
263
theorem X_dvd_monomial {i : σ} {j : σ →₀ ℕ} {r : R} : (X i : MvPolynomial σ R) ∣ monomial j r ↔ r = 0 ∨ j i ≠ 0 := by
refine monomial_dvd_monomial.trans ?_ simp_rw [one_dvd, and_true_iff, Finsupp.single_le_iff, Nat.one_le_iff_ne_zero]
0
import Mathlib.Algebra.Order.Ring.Abs import Mathlib.Combinatorics.SimpleGraph.Coloring import Mathlib.Combinatorics.SimpleGraph.Hasse import Mathlib.Order.OmegaCompletePartialOrder namespace SimpleGraph def pathGraph.bicoloring (n : ℕ) : Coloring (pathGraph n) Bool := Coloring.mk (fun u ↦ u.val % 2 = 0) <| by intro u v rw [pathGraph_adj] rintro (h | h) <;> simp [← h, not_iff, Nat.succ_mod_two_eq_zero_iff] def pathGraph_two_embedding (n : ℕ) (h : 2 ≤ n) : pathGraph 2 ↪g pathGraph n where toFun v := ⟨v, trans v.2 h⟩ inj' := by rintro v w rw [Fin.mk.injEq] exact Fin.ext map_rel_iff' := by intro v w fin_cases v <;> fin_cases w <;> simp [pathGraph, ← Fin.coe_covBy_iff]
Mathlib/Combinatorics/SimpleGraph/ConcreteColorings.lean
43
49
theorem chromaticNumber_pathGraph (n : ℕ) (h : 2 ≤ n) : (pathGraph n).chromaticNumber = 2 := by
have hc := (pathGraph.bicoloring n).colorable apply le_antisymm · exact hc.chromaticNumber_le · simpa only [pathGraph_two_eq_top, chromaticNumber_top] using chromaticNumber_mono_of_embedding (pathGraph_two_embedding n h)
0
import Mathlib.Geometry.Manifold.ChartedSpace #align_import geometry.manifold.local_invariant_properties from "leanprover-community/mathlib"@"431589bce478b2229eba14b14a283250428217db" noncomputable section open scoped Classical open Manifold Topology open Set Filter TopologicalSpace variable {H M H' M' X : Type*} variable [TopologicalSpace H] [TopologicalSpace M] [ChartedSpace H M] variable [TopologicalSpace H'] [TopologicalSpace M'] [ChartedSpace H' M'] variable [TopologicalSpace X] namespace StructureGroupoid variable (G : StructureGroupoid H) (G' : StructureGroupoid H') structure LocalInvariantProp (P : (H → H') → Set H → H → Prop) : Prop where is_local : ∀ {s x u} {f : H → H'}, IsOpen u → x ∈ u → (P f s x ↔ P f (s ∩ u) x) right_invariance' : ∀ {s x f} {e : PartialHomeomorph H H}, e ∈ G → x ∈ e.source → P f s x → P (f ∘ e.symm) (e.symm ⁻¹' s) (e x) congr_of_forall : ∀ {s x} {f g : H → H'}, (∀ y ∈ s, f y = g y) → f x = g x → P f s x → P g s x left_invariance' : ∀ {s x f} {e' : PartialHomeomorph H' H'}, e' ∈ G' → s ⊆ f ⁻¹' e'.source → f x ∈ e'.source → P f s x → P (e' ∘ f) s x #align structure_groupoid.local_invariant_prop StructureGroupoid.LocalInvariantProp variable {G G'} {P : (H → H') → Set H → H → Prop} {s t u : Set H} {x : H} variable (hG : G.LocalInvariantProp G' P) namespace LocalInvariantProp
Mathlib/Geometry/Manifold/LocalInvariantProperties.lean
82
85
theorem congr_set {s t : Set H} {x : H} {f : H → H'} (hu : s =ᶠ[𝓝 x] t) : P f s x ↔ P f t x := by
obtain ⟨o, host, ho, hxo⟩ := mem_nhds_iff.mp hu.mem_iff simp_rw [subset_def, mem_setOf, ← and_congr_left_iff, ← mem_inter_iff, ← Set.ext_iff] at host rw [hG.is_local ho hxo, host, ← hG.is_local ho hxo]
0
import Mathlib.RingTheory.HahnSeries.Addition import Mathlib.Algebra.Algebra.Subalgebra.Basic import Mathlib.Data.Finset.MulAntidiagonal #align_import ring_theory.hahn_series from "leanprover-community/mathlib"@"a484a7d0eade4e1268f4fb402859b6686037f965" set_option linter.uppercaseLean3 false open Finset Function open scoped Classical open Pointwise noncomputable section variable {Γ Γ' R : Type*} section Multiplication @[nolint unusedArguments] def HahnModule (Γ R V : Type*) [PartialOrder Γ] [Zero V] [SMul R V] := HahnSeries Γ V namespace HahnModule section variable {Γ R V : Type*} [PartialOrder Γ] [Zero V] [SMul R V] def of {Γ : Type*} (R : Type*) {V : Type*} [PartialOrder Γ] [Zero V] [SMul R V] : HahnSeries Γ V ≃ HahnModule Γ R V := Equiv.refl _ @[elab_as_elim] def rec {motive : HahnModule Γ R V → Sort*} (h : ∀ x : HahnSeries Γ V, motive (of R x)) : ∀ x, motive x := fun x => h <| (of R).symm x @[ext] theorem ext (x y : HahnModule Γ R V) (h : ((of R).symm x).coeff = ((of R).symm y).coeff) : x = y := (of R).symm.injective <| HahnSeries.coeff_inj.1 h variable {V : Type*} [AddCommMonoid V] [SMul R V] instance instAddCommMonoid : AddCommMonoid (HahnModule Γ R V) := inferInstanceAs <| AddCommMonoid (HahnSeries Γ V) instance instBaseSMul {V} [Monoid R] [AddMonoid V] [DistribMulAction R V] : SMul R (HahnModule Γ R V) := inferInstanceAs <| SMul R (HahnSeries Γ V) instance instBaseModule [Semiring R] [Module R V] : Module R (HahnModule Γ R V) := inferInstanceAs <| Module R (HahnSeries Γ V) @[simp] theorem of_zero : of R (0 : HahnSeries Γ V) = 0 := rfl @[simp] theorem of_add (x y : HahnSeries Γ V) : of R (x + y) = of R x + of R y := rfl @[simp] theorem of_symm_zero : (of R).symm (0 : HahnModule Γ R V) = 0 := rfl @[simp] theorem of_symm_add (x y : HahnModule Γ R V) : (of R).symm (x + y) = (of R).symm x + (of R).symm y := rfl end variable {Γ R V : Type*} [OrderedCancelAddCommMonoid Γ] [AddCommMonoid V] [SMul R V] instance instSMul [Zero R] : SMul (HahnSeries Γ R) (HahnModule Γ R V) where smul x y := { coeff := fun a => ∑ ij ∈ addAntidiagonal x.isPWO_support y.isPWO_support a, x.coeff ij.fst • ((of R).symm y).coeff ij.snd isPWO_support' := haveI h : {a : Γ | ∑ ij ∈ addAntidiagonal x.isPWO_support y.isPWO_support a, x.coeff ij.fst • y.coeff ij.snd ≠ 0} ⊆ {a : Γ | (addAntidiagonal x.isPWO_support y.isPWO_support a).Nonempty} := by intro a ha contrapose! ha simp [not_nonempty_iff_eq_empty.1 ha] isPWO_support_addAntidiagonal.mono h } theorem smul_coeff [Zero R] (x : HahnSeries Γ R) (y : HahnModule Γ R V) (a : Γ) : ((of R).symm <| x • y).coeff a = ∑ ij ∈ addAntidiagonal x.isPWO_support y.isPWO_support a, x.coeff ij.fst • ((of R).symm y).coeff ij.snd := rfl variable {W : Type*} [Zero R] [AddCommMonoid W] instance instSMulZeroClass [SMulZeroClass R W] : SMulZeroClass (HahnSeries Γ R) (HahnModule Γ R W) where smul_zero x := by ext simp [smul_coeff]
Mathlib/RingTheory/HahnSeries/Multiplication.lean
152
161
theorem smul_coeff_right [SMulZeroClass R W] {x : HahnSeries Γ R} {y : HahnModule Γ R W} {a : Γ} {s : Set Γ} (hs : s.IsPWO) (hys : ((of R).symm y).support ⊆ s) : ((of R).symm <| x • y).coeff a = ∑ ij ∈ addAntidiagonal x.isPWO_support hs a, x.coeff ij.fst • ((of R).symm y).coeff ij.snd := by
rw [smul_coeff] apply sum_subset_zero_on_sdiff (addAntidiagonal_mono_right hys) _ fun _ _ => rfl intro b hb simp only [not_and, mem_sdiff, mem_addAntidiagonal, HahnSeries.mem_support, not_imp_not] at hb rw [hb.2 hb.1.1 hb.1.2.2, smul_zero]
0
import Mathlib.Algebra.Polynomial.Cardinal import Mathlib.Algebra.MvPolynomial.Cardinal import Mathlib.Data.ZMod.Algebra import Mathlib.FieldTheory.IsAlgClosed.Basic import Mathlib.RingTheory.AlgebraicIndependent #align_import field_theory.is_alg_closed.classification from "leanprover-community/mathlib"@"0723536a0522d24fc2f159a096fb3304bef77472" universe u open scoped Cardinal Polynomial open Cardinal section AlgebraicClosure namespace Algebra.IsAlgebraic variable (R L : Type u) [CommRing R] [CommRing L] [IsDomain L] [Algebra R L] variable [NoZeroSMulDivisors R L] [Algebra.IsAlgebraic R L]
Mathlib/FieldTheory/IsAlgClosed/Classification.lean
41
59
theorem cardinal_mk_le_sigma_polynomial : #L ≤ #(Σ p : R[X], { x : L // x ∈ p.aroots L }) := @mk_le_of_injective L (Σ p : R[X], {x : L | x ∈ p.aroots L}) (fun x : L => let p := Classical.indefiniteDescription _ (Algebra.IsAlgebraic.isAlgebraic x) ⟨p.1, x, by dsimp have h : p.1.map (algebraMap R L) ≠ 0 := by
rw [Ne, ← Polynomial.degree_eq_bot, Polynomial.degree_map_eq_of_injective (NoZeroSMulDivisors.algebraMap_injective R L), Polynomial.degree_eq_bot] exact p.2.1 erw [Polynomial.mem_roots h, Polynomial.IsRoot, Polynomial.eval_map, ← Polynomial.aeval_def, p.2.2]⟩) fun x y => by intro h simp? at h says simp only [Set.coe_setOf, ne_eq, Set.mem_setOf_eq, Sigma.mk.inj_iff] at h refine (Subtype.heq_iff_coe_eq ?_).1 h.2 simp only [h.1, iff_self_iff, forall_true_iff]
0
import Mathlib.Order.BooleanAlgebra import Mathlib.Logic.Equiv.Basic #align_import order.symm_diff from "leanprover-community/mathlib"@"6eb334bd8f3433d5b08ba156b8ec3e6af47e1904" open Function OrderDual variable {ι α β : Type*} {π : ι → Type*} def symmDiff [Sup α] [SDiff α] (a b : α) : α := a \ b ⊔ b \ a #align symm_diff symmDiff def bihimp [Inf α] [HImp α] (a b : α) : α := (b ⇨ a) ⊓ (a ⇨ b) #align bihimp bihimp scoped[symmDiff] infixl:100 " ∆ " => symmDiff scoped[symmDiff] infixl:100 " ⇔ " => bihimp open scoped symmDiff theorem symmDiff_def [Sup α] [SDiff α] (a b : α) : a ∆ b = a \ b ⊔ b \ a := rfl #align symm_diff_def symmDiff_def theorem bihimp_def [Inf α] [HImp α] (a b : α) : a ⇔ b = (b ⇨ a) ⊓ (a ⇨ b) := rfl #align bihimp_def bihimp_def theorem symmDiff_eq_Xor' (p q : Prop) : p ∆ q = Xor' p q := rfl #align symm_diff_eq_xor symmDiff_eq_Xor' @[simp] theorem bihimp_iff_iff {p q : Prop} : p ⇔ q ↔ (p ↔ q) := (iff_iff_implies_and_implies _ _).symm.trans Iff.comm #align bihimp_iff_iff bihimp_iff_iff @[simp] theorem Bool.symmDiff_eq_xor : ∀ p q : Bool, p ∆ q = xor p q := by decide #align bool.symm_diff_eq_bxor Bool.symmDiff_eq_xor section GeneralizedCoheytingAlgebra variable [GeneralizedCoheytingAlgebra α] (a b c d : α) @[simp] theorem toDual_symmDiff : toDual (a ∆ b) = toDual a ⇔ toDual b := rfl #align to_dual_symm_diff toDual_symmDiff @[simp] theorem ofDual_bihimp (a b : αᵒᵈ) : ofDual (a ⇔ b) = ofDual a ∆ ofDual b := rfl #align of_dual_bihimp ofDual_bihimp theorem symmDiff_comm : a ∆ b = b ∆ a := by simp only [symmDiff, sup_comm] #align symm_diff_comm symmDiff_comm instance symmDiff_isCommutative : Std.Commutative (α := α) (· ∆ ·) := ⟨symmDiff_comm⟩ #align symm_diff_is_comm symmDiff_isCommutative @[simp] theorem symmDiff_self : a ∆ a = ⊥ := by rw [symmDiff, sup_idem, sdiff_self] #align symm_diff_self symmDiff_self @[simp] theorem symmDiff_bot : a ∆ ⊥ = a := by rw [symmDiff, sdiff_bot, bot_sdiff, sup_bot_eq] #align symm_diff_bot symmDiff_bot @[simp] theorem bot_symmDiff : ⊥ ∆ a = a := by rw [symmDiff_comm, symmDiff_bot] #align bot_symm_diff bot_symmDiff @[simp] theorem symmDiff_eq_bot {a b : α} : a ∆ b = ⊥ ↔ a = b := by simp_rw [symmDiff, sup_eq_bot_iff, sdiff_eq_bot_iff, le_antisymm_iff] #align symm_diff_eq_bot symmDiff_eq_bot theorem symmDiff_of_le {a b : α} (h : a ≤ b) : a ∆ b = b \ a := by rw [symmDiff, sdiff_eq_bot_iff.2 h, bot_sup_eq] #align symm_diff_of_le symmDiff_of_le theorem symmDiff_of_ge {a b : α} (h : b ≤ a) : a ∆ b = a \ b := by rw [symmDiff, sdiff_eq_bot_iff.2 h, sup_bot_eq] #align symm_diff_of_ge symmDiff_of_ge theorem symmDiff_le {a b c : α} (ha : a ≤ b ⊔ c) (hb : b ≤ a ⊔ c) : a ∆ b ≤ c := sup_le (sdiff_le_iff.2 ha) <| sdiff_le_iff.2 hb #align symm_diff_le symmDiff_le theorem symmDiff_le_iff {a b c : α} : a ∆ b ≤ c ↔ a ≤ b ⊔ c ∧ b ≤ a ⊔ c := by simp_rw [symmDiff, sup_le_iff, sdiff_le_iff] #align symm_diff_le_iff symmDiff_le_iff @[simp] theorem symmDiff_le_sup {a b : α} : a ∆ b ≤ a ⊔ b := sup_le_sup sdiff_le sdiff_le #align symm_diff_le_sup symmDiff_le_sup theorem symmDiff_eq_sup_sdiff_inf : a ∆ b = (a ⊔ b) \ (a ⊓ b) := by simp [sup_sdiff, symmDiff] #align symm_diff_eq_sup_sdiff_inf symmDiff_eq_sup_sdiff_inf theorem Disjoint.symmDiff_eq_sup {a b : α} (h : Disjoint a b) : a ∆ b = a ⊔ b := by rw [symmDiff, h.sdiff_eq_left, h.sdiff_eq_right] #align disjoint.symm_diff_eq_sup Disjoint.symmDiff_eq_sup theorem symmDiff_sdiff : a ∆ b \ c = a \ (b ⊔ c) ⊔ b \ (a ⊔ c) := by rw [symmDiff, sup_sdiff_distrib, sdiff_sdiff_left, sdiff_sdiff_left] #align symm_diff_sdiff symmDiff_sdiff @[simp] theorem symmDiff_sdiff_inf : a ∆ b \ (a ⊓ b) = a ∆ b := by rw [symmDiff_sdiff] simp [symmDiff] #align symm_diff_sdiff_inf symmDiff_sdiff_inf @[simp]
Mathlib/Order/SymmDiff.lean
176
180
theorem symmDiff_sdiff_eq_sup : a ∆ (b \ a) = a ⊔ b := by
rw [symmDiff, sdiff_idem] exact le_antisymm (sup_le_sup sdiff_le sdiff_le) (sup_le le_sdiff_sup <| le_sdiff_sup.trans <| sup_le le_sup_right le_sdiff_sup)
0
import Mathlib.Dynamics.Ergodic.AddCircle import Mathlib.MeasureTheory.Covering.LiminfLimsup #align_import number_theory.well_approximable from "leanprover-community/mathlib"@"f0c8bf9245297a541f468be517f1bde6195105e9" open Set Filter Function Metric MeasureTheory open scoped MeasureTheory Topology Pointwise @[to_additive "In a seminormed additive group `A`, given `n : ℕ` and `δ : ℝ`, `approxAddOrderOf A n δ` is the set of elements within a distance `δ` of a point of order `n`."] def approxOrderOf (A : Type*) [SeminormedGroup A] (n : ℕ) (δ : ℝ) : Set A := thickening δ {y | orderOf y = n} #align approx_order_of approxOrderOf #align approx_add_order_of approxAddOrderOf @[to_additive mem_approx_add_orderOf_iff] theorem mem_approxOrderOf_iff {A : Type*} [SeminormedGroup A] {n : ℕ} {δ : ℝ} {a : A} : a ∈ approxOrderOf A n δ ↔ ∃ b : A, orderOf b = n ∧ a ∈ ball b δ := by simp only [approxOrderOf, thickening_eq_biUnion_ball, mem_iUnion₂, mem_setOf_eq, exists_prop] #align mem_approx_order_of_iff mem_approxOrderOf_iff #align mem_approx_add_order_of_iff mem_approx_add_orderOf_iff @[to_additive addWellApproximable "In a seminormed additive group `A`, given a sequence of distances `δ₁, δ₂, ...`, `addWellApproximable A δ` is the limsup as `n → ∞` of the sets `approxAddOrderOf A n δₙ`. Thus, it is the set of points that lie in infinitely many of the sets `approxAddOrderOf A n δₙ`."] def wellApproximable (A : Type*) [SeminormedGroup A] (δ : ℕ → ℝ) : Set A := blimsup (fun n => approxOrderOf A n (δ n)) atTop fun n => 0 < n #align well_approximable wellApproximable #align add_well_approximable addWellApproximable @[to_additive mem_add_wellApproximable_iff] theorem mem_wellApproximable_iff {A : Type*} [SeminormedGroup A] {δ : ℕ → ℝ} {a : A} : a ∈ wellApproximable A δ ↔ a ∈ blimsup (fun n => approxOrderOf A n (δ n)) atTop fun n => 0 < n := Iff.rfl #align mem_well_approximable_iff mem_wellApproximable_iff #align mem_add_well_approximable_iff mem_add_wellApproximable_iff namespace UnitAddCircle
Mathlib/NumberTheory/WellApproximable.lean
174
180
theorem mem_approxAddOrderOf_iff {δ : ℝ} {x : UnitAddCircle} {n : ℕ} (hn : 0 < n) : x ∈ approxAddOrderOf UnitAddCircle n δ ↔ ∃ m < n, gcd m n = 1 ∧ ‖x - ↑((m : ℝ) / n)‖ < δ := by
simp only [mem_approx_add_orderOf_iff, mem_setOf_eq, ball, exists_prop, dist_eq_norm, AddCircle.addOrderOf_eq_pos_iff hn, mul_one] constructor · rintro ⟨y, ⟨m, hm₁, hm₂, rfl⟩, hx⟩; exact ⟨m, hm₁, hm₂, hx⟩ · rintro ⟨m, hm₁, hm₂, hx⟩; exact ⟨↑((m : ℝ) / n), ⟨m, hm₁, hm₂, rfl⟩, hx⟩
0
import Mathlib.ModelTheory.Algebra.Ring.Basic import Mathlib.RingTheory.FreeCommRing namespace FirstOrder namespace Ring open Language variable {α : Type*} section attribute [local instance] compatibleRingOfRing private theorem exists_term_realize_eq_freeCommRing (p : FreeCommRing α) : ∃ t : Language.ring.Term α, (t.realize FreeCommRing.of : FreeCommRing α) = p := FreeCommRing.induction_on p ⟨-1, by simp [Term.realize]⟩ (fun a => ⟨Term.var a, by simp [Term.realize]⟩) (fun x y ⟨t₁, ht₁⟩ ⟨t₂, ht₂⟩ => ⟨t₁ + t₂, by simp_all [Term.realize]⟩) (fun x y ⟨t₁, ht₁⟩ ⟨t₂, ht₂⟩ => ⟨t₁ * t₂, by simp_all [Term.realize]⟩) end noncomputable def termOfFreeCommRing (p : FreeCommRing α) : Language.ring.Term α := Classical.choose (exists_term_realize_eq_freeCommRing p) variable {R : Type*} [CommRing R] [CompatibleRing R] @[simp]
Mathlib/ModelTheory/Algebra/Ring/FreeCommRing.lean
54
63
theorem realize_termOfFreeCommRing (p : FreeCommRing α) (v : α → R) : (termOfFreeCommRing p).realize v = FreeCommRing.lift v p := by
let _ := compatibleRingOfRing (FreeCommRing α) rw [termOfFreeCommRing] conv_rhs => rw [← Classical.choose_spec (exists_term_realize_eq_freeCommRing p)] induction Classical.choose (exists_term_realize_eq_freeCommRing p) with | var _ => simp | func f a ih => cases f <;> simp [ih]
0
import Mathlib.MeasureTheory.Constructions.BorelSpace.Order #align_import measure_theory.function.ae_measurable_order from "leanprover-community/mathlib"@"bf6a01357ff5684b1ebcd0f1a13be314fc82c0bf" open MeasureTheory Set TopologicalSpace open scoped Classical open ENNReal NNReal
Mathlib/MeasureTheory/Function/AEMeasurableOrder.lean
34
107
theorem MeasureTheory.aemeasurable_of_exist_almost_disjoint_supersets {α : Type*} {m : MeasurableSpace α} (μ : Measure α) {β : Type*} [CompleteLinearOrder β] [DenselyOrdered β] [TopologicalSpace β] [OrderTopology β] [SecondCountableTopology β] [MeasurableSpace β] [BorelSpace β] (s : Set β) (s_count : s.Countable) (s_dense : Dense s) (f : α → β) (h : ∀ p ∈ s, ∀ q ∈ s, p < q → ∃ u v, MeasurableSet u ∧ MeasurableSet v ∧ { x | f x < p } ⊆ u ∧ { x | q < f x } ⊆ v ∧ μ (u ∩ v) = 0) : AEMeasurable f μ := by
haveI : Encodable s := s_count.toEncodable have h' : ∀ p q, ∃ u v, MeasurableSet u ∧ MeasurableSet v ∧ { x | f x < p } ⊆ u ∧ { x | q < f x } ⊆ v ∧ (p ∈ s → q ∈ s → p < q → μ (u ∩ v) = 0) := by intro p q by_cases H : p ∈ s ∧ q ∈ s ∧ p < q · rcases h p H.1 q H.2.1 H.2.2 with ⟨u, v, hu, hv, h'u, h'v, hμ⟩ exact ⟨u, v, hu, hv, h'u, h'v, fun _ _ _ => hμ⟩ · refine ⟨univ, univ, MeasurableSet.univ, MeasurableSet.univ, subset_univ _, subset_univ _, fun ps qs pq => ?_⟩ simp only [not_and] at H exact (H ps qs pq).elim choose! u v huv using h' let u' : β → Set α := fun p => ⋂ q ∈ s ∩ Ioi p, u p q have u'_meas : ∀ i, MeasurableSet (u' i) := by intro i exact MeasurableSet.biInter (s_count.mono inter_subset_left) fun b _ => (huv i b).1 let f' : α → β := fun x => ⨅ i : s, piecewise (u' i) (fun _ => (i : β)) (fun _ => (⊤ : β)) x have f'_meas : Measurable f' := by apply measurable_iInf exact fun i => Measurable.piecewise (u'_meas i) measurable_const measurable_const let t := ⋃ (p : s) (q : ↥(s ∩ Ioi p)), u' p ∩ v p q have μt : μ t ≤ 0 := calc μ t ≤ ∑' (p : s) (q : ↥(s ∩ Ioi p)), μ (u' p ∩ v p q) := by refine (measure_iUnion_le _).trans ?_ refine ENNReal.tsum_le_tsum fun p => ?_ haveI := (s_count.mono (s.inter_subset_left (t := Ioi ↑p))).to_subtype apply measure_iUnion_le _ ≤ ∑' (p : s) (q : ↥(s ∩ Ioi p)), μ (u p q ∩ v p q) := by gcongr with p q exact biInter_subset_of_mem q.2 _ = ∑' (p : s) (_ : ↥(s ∩ Ioi p)), (0 : ℝ≥0∞) := by congr ext1 p congr ext1 q exact (huv p q).2.2.2.2 p.2 q.2.1 q.2.2 _ = 0 := by simp only [tsum_zero] have ff' : ∀ᵐ x ∂μ, f x = f' x := by have : ∀ᵐ x ∂μ, x ∉ t := by have : μ t = 0 := le_antisymm μt bot_le change μ _ = 0 convert this ext y simp only [not_exists, exists_prop, mem_setOf_eq, mem_compl_iff, not_not_mem] filter_upwards [this] with x hx apply (iInf_eq_of_forall_ge_of_forall_gt_exists_lt _ _).symm · intro i by_cases H : x ∈ u' i swap · simp only [H, le_top, not_false_iff, piecewise_eq_of_not_mem] simp only [H, piecewise_eq_of_mem] contrapose! hx obtain ⟨r, ⟨xr, rq⟩, rs⟩ : ∃ r, r ∈ Ioo (i : β) (f x) ∩ s := dense_iff_inter_open.1 s_dense (Ioo i (f x)) isOpen_Ioo (nonempty_Ioo.2 hx) have A : x ∈ v i r := (huv i r).2.2.2.1 rq refine mem_iUnion.2 ⟨i, ?_⟩ refine mem_iUnion.2 ⟨⟨r, ⟨rs, xr⟩⟩, ?_⟩ exact ⟨H, A⟩ · intro q hq obtain ⟨r, ⟨xr, rq⟩, rs⟩ : ∃ r, r ∈ Ioo (f x) q ∩ s := dense_iff_inter_open.1 s_dense (Ioo (f x) q) isOpen_Ioo (nonempty_Ioo.2 hq) refine ⟨⟨r, rs⟩, ?_⟩ have A : x ∈ u' r := mem_biInter fun i _ => (huv r i).2.2.1 xr simp only [A, rq, piecewise_eq_of_mem, Subtype.coe_mk] exact ⟨f', f'_meas, ff'⟩
0
import Mathlib.CategoryTheory.CofilteredSystem import Mathlib.Combinatorics.SimpleGraph.Subgraph #align_import combinatorics.simple_graph.finsubgraph from "leanprover-community/mathlib"@"c6ef6387ede9983aee397d442974e61f89dfd87b" open Set CategoryTheory universe u v variable {V : Type u} {W : Type v} {G : SimpleGraph V} {F : SimpleGraph W} namespace SimpleGraph abbrev Finsubgraph (G : SimpleGraph V) := { G' : G.Subgraph // G'.verts.Finite } #align simple_graph.finsubgraph SimpleGraph.Finsubgraph abbrev FinsubgraphHom (G' : G.Finsubgraph) (F : SimpleGraph W) := G'.val.coe →g F #align simple_graph.finsubgraph_hom SimpleGraph.FinsubgraphHom local infixl:50 " →fg " => FinsubgraphHom instance : OrderBot G.Finsubgraph where bot := ⟨⊥, finite_empty⟩ bot_le _ := bot_le (α := G.Subgraph) instance : Sup G.Finsubgraph := ⟨fun G₁ G₂ => ⟨G₁ ⊔ G₂, G₁.2.union G₂.2⟩⟩ instance : Inf G.Finsubgraph := ⟨fun G₁ G₂ => ⟨G₁ ⊓ G₂, G₁.2.subset inter_subset_left⟩⟩ instance : DistribLattice G.Finsubgraph := Subtype.coe_injective.distribLattice _ (fun _ _ => rfl) fun _ _ => rfl instance [Finite V] : Top G.Finsubgraph := ⟨⟨⊤, finite_univ⟩⟩ instance [Finite V] : SupSet G.Finsubgraph := ⟨fun s => ⟨⨆ G ∈ s, ↑G, Set.toFinite _⟩⟩ instance [Finite V] : InfSet G.Finsubgraph := ⟨fun s => ⟨⨅ G ∈ s, ↑G, Set.toFinite _⟩⟩ instance [Finite V] : CompletelyDistribLattice G.Finsubgraph := Subtype.coe_injective.completelyDistribLattice _ (fun _ _ => rfl) (fun _ _ => rfl) (fun _ => rfl) (fun _ => rfl) rfl rfl def singletonFinsubgraph (v : V) : G.Finsubgraph := ⟨SimpleGraph.singletonSubgraph _ v, by simp⟩ #align simple_graph.singleton_finsubgraph SimpleGraph.singletonFinsubgraph def finsubgraphOfAdj {u v : V} (e : G.Adj u v) : G.Finsubgraph := ⟨SimpleGraph.subgraphOfAdj _ e, by simp⟩ #align simple_graph.finsubgraph_of_adj SimpleGraph.finsubgraphOfAdj -- Lemmas establishing the ordering between edge- and vertex-generated subgraphs. theorem singletonFinsubgraph_le_adj_left {u v : V} {e : G.Adj u v} : singletonFinsubgraph u ≤ finsubgraphOfAdj e := by simp [singletonFinsubgraph, finsubgraphOfAdj] #align simple_graph.singleton_finsubgraph_le_adj_left SimpleGraph.singletonFinsubgraph_le_adj_left theorem singletonFinsubgraph_le_adj_right {u v : V} {e : G.Adj u v} : singletonFinsubgraph v ≤ finsubgraphOfAdj e := by simp [singletonFinsubgraph, finsubgraphOfAdj] #align simple_graph.singleton_finsubgraph_le_adj_right SimpleGraph.singletonFinsubgraph_le_adj_right def FinsubgraphHom.restrict {G' G'' : G.Finsubgraph} (h : G'' ≤ G') (f : G' →fg F) : G'' →fg F := by refine ⟨fun ⟨v, hv⟩ => f.toFun ⟨v, h.1 hv⟩, ?_⟩ rintro ⟨u, hu⟩ ⟨v, hv⟩ huv exact f.map_rel' (h.2 huv) #align simple_graph.finsubgraph_hom.restrict SimpleGraph.FinsubgraphHom.restrict def finsubgraphHomFunctor (G : SimpleGraph V) (F : SimpleGraph W) : G.Finsubgraphᵒᵖ ⥤ Type max u v where obj G' := G'.unop →fg F map g f := f.restrict (CategoryTheory.leOfHom g.unop) #align simple_graph.finsubgraph_hom_functor SimpleGraph.finsubgraphHomFunctor
Mathlib/Combinatorics/SimpleGraph/Finsubgraph.lean
119
153
theorem nonempty_hom_of_forall_finite_subgraph_hom [Finite W] (h : ∀ G' : G.Subgraph, G'.verts.Finite → G'.coe →g F) : Nonempty (G →g F) := by
-- Obtain a `Fintype` instance for `W`. cases nonempty_fintype W -- Establish the required interface instances. haveI : ∀ G' : G.Finsubgraphᵒᵖ, Nonempty ((finsubgraphHomFunctor G F).obj G') := fun G' => ⟨h G'.unop G'.unop.property⟩ haveI : ∀ G' : G.Finsubgraphᵒᵖ, Fintype ((finsubgraphHomFunctor G F).obj G') := by intro G' haveI : Fintype (G'.unop.val.verts : Type u) := G'.unop.property.fintype haveI : Fintype (↥G'.unop.val.verts → W) := by classical exact Pi.fintype exact Fintype.ofInjective (fun f => f.toFun) RelHom.coe_fn_injective -- Use compactness to obtain a section. obtain ⟨u, hu⟩ := nonempty_sections_of_finite_inverse_system (finsubgraphHomFunctor G F) refine ⟨⟨fun v => ?_, ?_⟩⟩ · -- Map each vertex using the homomorphism provided for its singleton subgraph. exact (u (Opposite.op (singletonFinsubgraph v))).toFun ⟨v, by unfold singletonFinsubgraph simp⟩ · -- Prove that the above mapping preserves adjacency. intro v v' e simp only /- The homomorphism for each edge's singleton subgraph agrees with those for its source and target vertices. -/ have hv : Opposite.op (finsubgraphOfAdj e) ⟶ Opposite.op (singletonFinsubgraph v) := Quiver.Hom.op (CategoryTheory.homOfLE singletonFinsubgraph_le_adj_left) have hv' : Opposite.op (finsubgraphOfAdj e) ⟶ Opposite.op (singletonFinsubgraph v') := Quiver.Hom.op (CategoryTheory.homOfLE singletonFinsubgraph_le_adj_right) rw [← hu hv, ← hu hv'] -- Porting note: was `apply Hom.map_adj` refine Hom.map_adj (u (Opposite.op (finsubgraphOfAdj e))) ?_ -- `v` and `v'` are definitionally adjacent in `finsubgraphOfAdj e` simp [finsubgraphOfAdj]
0
import Mathlib.CategoryTheory.Limits.Shapes.Biproducts import Mathlib.GroupTheory.EckmannHilton import Mathlib.Tactic.CategoryTheory.Reassoc #align_import category_theory.preadditive.of_biproducts from "leanprover-community/mathlib"@"061ea99a5610cfc72c286aa930d3c1f47f74f3d0" noncomputable section universe v u open CategoryTheory open CategoryTheory.Limits namespace CategoryTheory.SemiadditiveOfBinaryBiproducts variable {C : Type u} [Category.{v} C] [HasZeroMorphisms C] [HasBinaryBiproducts C] section variable (X Y : C) @[simp] def leftAdd (f g : X ⟶ Y) : X ⟶ Y := biprod.lift f g ≫ biprod.desc (𝟙 Y) (𝟙 Y) #align category_theory.semiadditive_of_binary_biproducts.left_add CategoryTheory.SemiadditiveOfBinaryBiproducts.leftAdd @[simp] def rightAdd (f g : X ⟶ Y) : X ⟶ Y := biprod.lift (𝟙 X) (𝟙 X) ≫ biprod.desc f g #align category_theory.semiadditive_of_binary_biproducts.right_add CategoryTheory.SemiadditiveOfBinaryBiproducts.rightAdd local infixr:65 " +ₗ " => leftAdd X Y local infixr:65 " +ᵣ " => rightAdd X Y theorem isUnital_leftAdd : EckmannHilton.IsUnital (· +ₗ ·) 0 := by have hr : ∀ f : X ⟶ Y, biprod.lift (0 : X ⟶ Y) f = f ≫ biprod.inr := by intro f ext · aesop_cat · simp [biprod.lift_fst, Category.assoc, biprod.inr_fst, comp_zero] have hl : ∀ f : X ⟶ Y, biprod.lift f (0 : X ⟶ Y) = f ≫ biprod.inl := by intro f ext · aesop_cat · simp [biprod.lift_snd, Category.assoc, biprod.inl_snd, comp_zero] exact { left_id := fun f => by simp [hr f, leftAdd, Category.assoc, Category.comp_id, biprod.inr_desc], right_id := fun f => by simp [hl f, leftAdd, Category.assoc, Category.comp_id, biprod.inl_desc] } #align category_theory.semiadditive_of_binary_biproducts.is_unital_left_add CategoryTheory.SemiadditiveOfBinaryBiproducts.isUnital_leftAdd theorem isUnital_rightAdd : EckmannHilton.IsUnital (· +ᵣ ·) 0 := by have h₂ : ∀ f : X ⟶ Y, biprod.desc (0 : X ⟶ Y) f = biprod.snd ≫ f := by intro f ext · aesop_cat · simp only [biprod.inr_desc, BinaryBicone.inr_snd_assoc] have h₁ : ∀ f : X ⟶ Y, biprod.desc f (0 : X ⟶ Y) = biprod.fst ≫ f := by intro f ext · aesop_cat · simp only [biprod.inr_desc, BinaryBicone.inr_fst_assoc, zero_comp] exact { left_id := fun f => by simp [h₂ f, rightAdd, biprod.lift_snd_assoc, Category.id_comp], right_id := fun f => by simp [h₁ f, rightAdd, biprod.lift_fst_assoc, Category.id_comp] } #align category_theory.semiadditive_of_binary_biproducts.is_unital_right_add CategoryTheory.SemiadditiveOfBinaryBiproducts.isUnital_rightAdd
Mathlib/CategoryTheory/Preadditive/OfBiproducts.lean
88
96
theorem distrib (f g h k : X ⟶ Y) : (f +ᵣ g) +ₗ h +ᵣ k = (f +ₗ h) +ᵣ g +ₗ k := by
let diag : X ⊞ X ⟶ Y ⊞ Y := biprod.lift (biprod.desc f g) (biprod.desc h k) have hd₁ : biprod.inl ≫ diag = biprod.lift f h := by ext <;> simp [diag] have hd₂ : biprod.inr ≫ diag = biprod.lift g k := by ext <;> simp [diag] have h₁ : biprod.lift (f +ᵣ g) (h +ᵣ k) = biprod.lift (𝟙 X) (𝟙 X) ≫ diag := by ext <;> aesop_cat have h₂ : diag ≫ biprod.desc (𝟙 Y) (𝟙 Y) = biprod.desc (f +ₗ h) (g +ₗ k) := by ext <;> simp [reassoc_of% hd₁, reassoc_of% hd₂] rw [leftAdd, h₁, Category.assoc, h₂, rightAdd]
0
import Mathlib.Topology.PartitionOfUnity import Mathlib.Analysis.Convex.Combination #align_import analysis.convex.partition_of_unity from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open Set Function open Topology variable {ι X E : Type*} [TopologicalSpace X] [AddCommGroup E] [Module ℝ E] theorem PartitionOfUnity.finsum_smul_mem_convex {s : Set X} (f : PartitionOfUnity ι X s) {g : ι → X → E} {t : Set E} {x : X} (hx : x ∈ s) (hg : ∀ i, f i x ≠ 0 → g i x ∈ t) (ht : Convex ℝ t) : (∑ᶠ i, f i x • g i x) ∈ t := ht.finsum_mem (fun _ => f.nonneg _ _) (f.sum_eq_one hx) hg #align partition_of_unity.finsum_smul_mem_convex PartitionOfUnity.finsum_smul_mem_convex variable [NormalSpace X] [ParacompactSpace X] [TopologicalSpace E] [ContinuousAdd E] [ContinuousSMul ℝ E] {t : X → Set E}
Mathlib/Analysis/Convex/PartitionOfUnity.lean
51
60
theorem exists_continuous_forall_mem_convex_of_local (ht : ∀ x, Convex ℝ (t x)) (H : ∀ x : X, ∃ U ∈ 𝓝 x, ∃ g : X → E, ContinuousOn g U ∧ ∀ y ∈ U, g y ∈ t y) : ∃ g : C(X, E), ∀ x, g x ∈ t x := by
choose U hU g hgc hgt using H obtain ⟨f, hf⟩ := PartitionOfUnity.exists_isSubordinate isClosed_univ (fun x => interior (U x)) (fun x => isOpen_interior) fun x _ => mem_iUnion.2 ⟨x, mem_interior_iff_mem_nhds.2 (hU x)⟩ refine ⟨⟨fun x => ∑ᶠ i, f i x • g i x, hf.continuous_finsum_smul (fun i => isOpen_interior) fun i => (hgc i).mono interior_subset⟩, fun x => f.finsum_smul_mem_convex (mem_univ x) (fun i hi => hgt _ _ ?_) (ht _)⟩ exact interior_subset (hf _ <| subset_closure hi)
0
import Mathlib.Logic.Equiv.Defs #align_import data.erased from "leanprover-community/mathlib"@"10b4e499f43088dd3bb7b5796184ad5216648ab1" universe u def Erased (α : Sort u) : Sort max 1 u := Σ's : α → Prop, ∃ a, (fun b => a = b) = s #align erased Erased namespace Erased @[inline] def mk {α} (a : α) : Erased α := ⟨fun b => a = b, a, rfl⟩ #align erased.mk Erased.mk noncomputable def out {α} : Erased α → α | ⟨_, h⟩ => Classical.choose h #align erased.out Erased.out abbrev OutType (a : Erased (Sort u)) : Sort u := out a #align erased.out_type Erased.OutType theorem out_proof {p : Prop} (a : Erased p) : p := out a #align erased.out_proof Erased.out_proof @[simp]
Mathlib/Data/Erased.lean
56
59
theorem out_mk {α} (a : α) : (mk a).out = a := by
let h := (mk a).2; show Classical.choose h = a have := Classical.choose_spec h exact cast (congr_fun this a).symm rfl
0
import Mathlib.Analysis.Calculus.Deriv.Basic import Mathlib.Analysis.Calculus.Deriv.Slope import Mathlib.Analysis.NormedSpace.FiniteDimension import Mathlib.MeasureTheory.Constructions.BorelSpace.ContinuousLinearMap import Mathlib.MeasureTheory.Function.StronglyMeasurable.Basic #align_import analysis.calculus.fderiv_measurable from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe" set_option linter.uppercaseLean3 false -- A B D noncomputable section open Set Metric Asymptotics Filter ContinuousLinearMap MeasureTheory TopologicalSpace open scoped Topology section fderiv variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] variable {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] variable {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] variable {f : E → F} (K : Set (E →L[𝕜] F)) namespace FDerivMeasurableAux def A (f : E → F) (L : E →L[𝕜] F) (r ε : ℝ) : Set E := { x | ∃ r' ∈ Ioc (r / 2) r, ∀ y ∈ ball x r', ∀ z ∈ ball x r', ‖f z - f y - L (z - y)‖ < ε * r } #align fderiv_measurable_aux.A FDerivMeasurableAux.A def B (f : E → F) (K : Set (E →L[𝕜] F)) (r s ε : ℝ) : Set E := ⋃ L ∈ K, A f L r ε ∩ A f L s ε #align fderiv_measurable_aux.B FDerivMeasurableAux.B def D (f : E → F) (K : Set (E →L[𝕜] F)) : Set E := ⋂ e : ℕ, ⋃ n : ℕ, ⋂ (p ≥ n) (q ≥ n), B f K ((1 / 2) ^ p) ((1 / 2) ^ q) ((1 / 2) ^ e) #align fderiv_measurable_aux.D FDerivMeasurableAux.D theorem isOpen_A (L : E →L[𝕜] F) (r ε : ℝ) : IsOpen (A f L r ε) := by rw [Metric.isOpen_iff] rintro x ⟨r', r'_mem, hr'⟩ obtain ⟨s, s_gt, s_lt⟩ : ∃ s : ℝ, r / 2 < s ∧ s < r' := exists_between r'_mem.1 have : s ∈ Ioc (r / 2) r := ⟨s_gt, le_of_lt (s_lt.trans_le r'_mem.2)⟩ refine ⟨r' - s, by linarith, fun x' hx' => ⟨s, this, ?_⟩⟩ have B : ball x' s ⊆ ball x r' := ball_subset (le_of_lt hx') intro y hy z hz exact hr' y (B hy) z (B hz) #align fderiv_measurable_aux.is_open_A FDerivMeasurableAux.isOpen_A theorem isOpen_B {K : Set (E →L[𝕜] F)} {r s ε : ℝ} : IsOpen (B f K r s ε) := by simp [B, isOpen_biUnion, IsOpen.inter, isOpen_A] #align fderiv_measurable_aux.is_open_B FDerivMeasurableAux.isOpen_B theorem A_mono (L : E →L[𝕜] F) (r : ℝ) {ε δ : ℝ} (h : ε ≤ δ) : A f L r ε ⊆ A f L r δ := by rintro x ⟨r', r'r, hr'⟩ refine ⟨r', r'r, fun y hy z hz => (hr' y hy z hz).trans_le (mul_le_mul_of_nonneg_right h ?_)⟩ linarith [mem_ball.1 hy, r'r.2, @dist_nonneg _ _ y x] #align fderiv_measurable_aux.A_mono FDerivMeasurableAux.A_mono theorem le_of_mem_A {r ε : ℝ} {L : E →L[𝕜] F} {x : E} (hx : x ∈ A f L r ε) {y z : E} (hy : y ∈ closedBall x (r / 2)) (hz : z ∈ closedBall x (r / 2)) : ‖f z - f y - L (z - y)‖ ≤ ε * r := by rcases hx with ⟨r', r'mem, hr'⟩ apply le_of_lt exact hr' _ ((mem_closedBall.1 hy).trans_lt r'mem.1) _ ((mem_closedBall.1 hz).trans_lt r'mem.1) #align fderiv_measurable_aux.le_of_mem_A FDerivMeasurableAux.le_of_mem_A
Mathlib/Analysis/Calculus/FDeriv/Measurable.lean
162
181
theorem mem_A_of_differentiable {ε : ℝ} (hε : 0 < ε) {x : E} (hx : DifferentiableAt 𝕜 f x) : ∃ R > 0, ∀ r ∈ Ioo (0 : ℝ) R, x ∈ A f (fderiv 𝕜 f x) r ε := by
let δ := (ε / 2) / 2 obtain ⟨R, R_pos, hR⟩ : ∃ R > 0, ∀ y ∈ ball x R, ‖f y - f x - fderiv 𝕜 f x (y - x)‖ ≤ δ * ‖y - x‖ := eventually_nhds_iff_ball.1 <| hx.hasFDerivAt.isLittleO.bound <| by positivity refine ⟨R, R_pos, fun r hr => ?_⟩ have : r ∈ Ioc (r / 2) r := right_mem_Ioc.2 <| half_lt_self hr.1 refine ⟨r, this, fun y hy z hz => ?_⟩ calc ‖f z - f y - (fderiv 𝕜 f x) (z - y)‖ = ‖f z - f x - (fderiv 𝕜 f x) (z - x) - (f y - f x - (fderiv 𝕜 f x) (y - x))‖ := by simp only [map_sub]; abel_nf _ ≤ ‖f z - f x - (fderiv 𝕜 f x) (z - x)‖ + ‖f y - f x - (fderiv 𝕜 f x) (y - x)‖ := norm_sub_le _ _ _ ≤ δ * ‖z - x‖ + δ * ‖y - x‖ := add_le_add (hR _ (ball_subset_ball hr.2.le hz)) (hR _ (ball_subset_ball hr.2.le hy)) _ ≤ δ * r + δ * r := by rw [mem_ball_iff_norm] at hz hy; gcongr _ = (ε / 2) * r := by ring _ < ε * r := by gcongr; exacts [hr.1, half_lt_self hε]
0
import Mathlib.Algebra.GroupWithZero.Units.Basic import Mathlib.Algebra.Group.Semiconj.Units import Mathlib.Init.Classical #align_import algebra.group_with_zero.semiconj from "leanprover-community/mathlib"@"70d50ecfd4900dd6d328da39ab7ebd516abe4025" assert_not_exists DenselyOrdered variable {α M₀ G₀ M₀' G₀' F F' : Type*} namespace SemiconjBy @[simp] theorem zero_right [MulZeroClass G₀] (a : G₀) : SemiconjBy a 0 0 := by simp only [SemiconjBy, mul_zero, zero_mul] #align semiconj_by.zero_right SemiconjBy.zero_right @[simp] theorem zero_left [MulZeroClass G₀] (x y : G₀) : SemiconjBy 0 x y := by simp only [SemiconjBy, mul_zero, zero_mul] #align semiconj_by.zero_left SemiconjBy.zero_left variable [GroupWithZero G₀] {a x y x' y' : G₀} @[simp] theorem inv_symm_left_iff₀ : SemiconjBy a⁻¹ x y ↔ SemiconjBy a y x := Classical.by_cases (fun ha : a = 0 => by simp only [ha, inv_zero, SemiconjBy.zero_left]) fun ha => @units_inv_symm_left_iff _ _ (Units.mk0 a ha) _ _ #align semiconj_by.inv_symm_left_iff₀ SemiconjBy.inv_symm_left_iff₀ theorem inv_symm_left₀ (h : SemiconjBy a x y) : SemiconjBy a⁻¹ y x := SemiconjBy.inv_symm_left_iff₀.2 h #align semiconj_by.inv_symm_left₀ SemiconjBy.inv_symm_left₀
Mathlib/Algebra/GroupWithZero/Semiconj.lean
45
54
theorem inv_right₀ (h : SemiconjBy a x y) : SemiconjBy a x⁻¹ y⁻¹ := by
by_cases ha : a = 0 · simp only [ha, zero_left] by_cases hx : x = 0 · subst x simp only [SemiconjBy, mul_zero, @eq_comm _ _ (y * a), mul_eq_zero] at h simp [h.resolve_right ha] · have := mul_ne_zero ha hx rw [h.eq, mul_ne_zero_iff] at this exact @units_inv_right _ _ _ (Units.mk0 x hx) (Units.mk0 y this.1) h
0
import Mathlib.GroupTheory.Perm.Cycle.Basic #align_import group_theory.perm.cycle.basic from "leanprover-community/mathlib"@"e8638a0fcaf73e4500469f368ef9494e495099b3" open Equiv Function Finset variable {ι α β : Type*} namespace Equiv.Perm section Generation variable [Finite β] open Subgroup
Mathlib/GroupTheory/Perm/Closure.lean
37
41
theorem closure_isCycle : closure { σ : Perm β | IsCycle σ } = ⊤ := by
classical cases nonempty_fintype β exact top_le_iff.mp (le_trans (ge_of_eq closure_isSwap) (closure_mono fun _ => IsSwap.isCycle))
0
import Mathlib.Analysis.Convolution import Mathlib.Analysis.SpecialFunctions.Trigonometric.EulerSineProd import Mathlib.Analysis.SpecialFunctions.Gamma.BohrMollerup import Mathlib.Analysis.Analytic.IsolatedZeros import Mathlib.Analysis.Complex.CauchyIntegral #align_import analysis.special_functions.gamma.beta from "leanprover-community/mathlib"@"a3209ddf94136d36e5e5c624b10b2a347cc9d090" noncomputable section set_option linter.uppercaseLean3 false open Filter intervalIntegral Set Real MeasureTheory open scoped Nat Topology Real section BetaIntegral namespace Complex noncomputable def betaIntegral (u v : ℂ) : ℂ := ∫ x : ℝ in (0)..1, (x : ℂ) ^ (u - 1) * (1 - (x : ℂ)) ^ (v - 1) #align complex.beta_integral Complex.betaIntegral theorem betaIntegral_convergent_left {u : ℂ} (hu : 0 < re u) (v : ℂ) : IntervalIntegrable (fun x => (x : ℂ) ^ (u - 1) * (1 - (x : ℂ)) ^ (v - 1) : ℝ → ℂ) volume 0 (1 / 2) := by apply IntervalIntegrable.mul_continuousOn · refine intervalIntegral.intervalIntegrable_cpow' ?_ rwa [sub_re, one_re, ← zero_sub, sub_lt_sub_iff_right] · apply ContinuousAt.continuousOn intro x hx rw [uIcc_of_le (by positivity : (0 : ℝ) ≤ 1 / 2)] at hx apply ContinuousAt.cpow · exact (continuous_const.sub continuous_ofReal).continuousAt · exact continuousAt_const · norm_cast exact ofReal_mem_slitPlane.2 <| by linarith only [hx.2] #align complex.beta_integral_convergent_left Complex.betaIntegral_convergent_left theorem betaIntegral_convergent {u v : ℂ} (hu : 0 < re u) (hv : 0 < re v) : IntervalIntegrable (fun x => (x : ℂ) ^ (u - 1) * (1 - (x : ℂ)) ^ (v - 1) : ℝ → ℂ) volume 0 1 := by refine (betaIntegral_convergent_left hu v).trans ?_ rw [IntervalIntegrable.iff_comp_neg] convert ((betaIntegral_convergent_left hv u).comp_add_right 1).symm using 1 · ext1 x conv_lhs => rw [mul_comm] congr 2 <;> · push_cast; ring · norm_num · norm_num #align complex.beta_integral_convergent Complex.betaIntegral_convergent theorem betaIntegral_symm (u v : ℂ) : betaIntegral v u = betaIntegral u v := by rw [betaIntegral, betaIntegral] have := intervalIntegral.integral_comp_mul_add (a := 0) (b := 1) (c := -1) (fun x : ℝ => (x : ℂ) ^ (u - 1) * (1 - (x : ℂ)) ^ (v - 1)) neg_one_lt_zero.ne 1 rw [inv_neg, inv_one, neg_one_smul, ← intervalIntegral.integral_symm] at this simp? at this says simp only [neg_mul, one_mul, ofReal_add, ofReal_neg, ofReal_one, sub_add_cancel_right, neg_neg, mul_one, add_left_neg, mul_zero, zero_add] at this conv_lhs at this => arg 1; intro x; rw [add_comm, ← sub_eq_add_neg, mul_comm] exact this #align complex.beta_integral_symm Complex.betaIntegral_symm theorem betaIntegral_eval_one_right {u : ℂ} (hu : 0 < re u) : betaIntegral u 1 = 1 / u := by simp_rw [betaIntegral, sub_self, cpow_zero, mul_one] rw [integral_cpow (Or.inl _)] · rw [ofReal_zero, ofReal_one, one_cpow, zero_cpow, sub_zero, sub_add_cancel] rw [sub_add_cancel] contrapose! hu; rw [hu, zero_re] · rwa [sub_re, one_re, ← sub_pos, sub_neg_eq_add, sub_add_cancel] #align complex.beta_integral_eval_one_right Complex.betaIntegral_eval_one_right theorem betaIntegral_scaled (s t : ℂ) {a : ℝ} (ha : 0 < a) : ∫ x in (0)..a, (x : ℂ) ^ (s - 1) * ((a : ℂ) - x) ^ (t - 1) = (a : ℂ) ^ (s + t - 1) * betaIntegral s t := by have ha' : (a : ℂ) ≠ 0 := ofReal_ne_zero.mpr ha.ne' rw [betaIntegral] have A : (a : ℂ) ^ (s + t - 1) = a * ((a : ℂ) ^ (s - 1) * (a : ℂ) ^ (t - 1)) := by rw [(by abel : s + t - 1 = 1 + (s - 1) + (t - 1)), cpow_add _ _ ha', cpow_add 1 _ ha', cpow_one, mul_assoc] rw [A, mul_assoc, ← intervalIntegral.integral_const_mul, ← real_smul, ← zero_div a, ← div_self ha.ne', ← intervalIntegral.integral_comp_div _ ha.ne', zero_div] simp_rw [intervalIntegral.integral_of_le ha.le] refine setIntegral_congr measurableSet_Ioc fun x hx => ?_ rw [mul_mul_mul_comm] congr 1 · rw [← mul_cpow_ofReal_nonneg ha.le (div_pos hx.1 ha).le, ofReal_div, mul_div_cancel₀ _ ha'] · rw [(by norm_cast : (1 : ℂ) - ↑(x / a) = ↑(1 - x / a)), ← mul_cpow_ofReal_nonneg ha.le (sub_nonneg.mpr <| (div_le_one ha).mpr hx.2)] push_cast rw [mul_sub, mul_one, mul_div_cancel₀ _ ha'] #align complex.beta_integral_scaled Complex.betaIntegral_scaled
Mathlib/Analysis/SpecialFunctions/Gamma/Beta.lean
136
151
theorem Gamma_mul_Gamma_eq_betaIntegral {s t : ℂ} (hs : 0 < re s) (ht : 0 < re t) : Gamma s * Gamma t = Gamma (s + t) * betaIntegral s t := by
-- Note that we haven't proved (yet) that the Gamma function has no zeroes, so we can't formulate -- this as a formula for the Beta function. have conv_int := integral_posConvolution (GammaIntegral_convergent hs) (GammaIntegral_convergent ht) (ContinuousLinearMap.mul ℝ ℂ) simp_rw [ContinuousLinearMap.mul_apply'] at conv_int have hst : 0 < re (s + t) := by rw [add_re]; exact add_pos hs ht rw [Gamma_eq_integral hs, Gamma_eq_integral ht, Gamma_eq_integral hst, GammaIntegral, GammaIntegral, GammaIntegral, ← conv_int, ← integral_mul_right (betaIntegral _ _)] refine setIntegral_congr measurableSet_Ioi fun x hx => ?_ rw [mul_assoc, ← betaIntegral_scaled s t hx, ← intervalIntegral.integral_const_mul] congr 1 with y : 1 push_cast suffices Complex.exp (-x) = Complex.exp (-y) * Complex.exp (-(x - y)) by rw [this]; ring rw [← Complex.exp_add]; congr 1; abel
0
import Mathlib.Data.Complex.Basic import Mathlib.MeasureTheory.Integral.CircleIntegral #align_import measure_theory.integral.circle_transform from "leanprover-community/mathlib"@"d11893b411025250c8e61ff2f12ccbd7ee35ab15" open Set MeasureTheory Metric Filter Function open scoped Interval Real noncomputable section variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℂ E] (R : ℝ) (z w : ℂ) namespace Complex def circleTransform (f : ℂ → E) (θ : ℝ) : E := (2 * ↑π * I)⁻¹ • deriv (circleMap z R) θ • (circleMap z R θ - w)⁻¹ • f (circleMap z R θ) #align complex.circle_transform Complex.circleTransform def circleTransformDeriv (f : ℂ → E) (θ : ℝ) : E := (2 * ↑π * I)⁻¹ • deriv (circleMap z R) θ • ((circleMap z R θ - w) ^ 2)⁻¹ • f (circleMap z R θ) #align complex.circle_transform_deriv Complex.circleTransformDeriv theorem circleTransformDeriv_periodic (f : ℂ → E) : Periodic (circleTransformDeriv R z w f) (2 * π) := by have := periodic_circleMap simp_rw [Periodic] at * intro x simp_rw [circleTransformDeriv, this] congr 2 simp [this] #align complex.circle_transform_deriv_periodic Complex.circleTransformDeriv_periodic theorem circleTransformDeriv_eq (f : ℂ → E) : circleTransformDeriv R z w f = fun θ => (circleMap z R θ - w)⁻¹ • circleTransform R z w f θ := by ext simp_rw [circleTransformDeriv, circleTransform, ← mul_smul, ← mul_assoc] ring_nf rw [inv_pow] congr ring #align complex.circle_transform_deriv_eq Complex.circleTransformDeriv_eq theorem integral_circleTransform (f : ℂ → E) : (∫ θ : ℝ in (0)..2 * π, circleTransform R z w f θ) = (2 * ↑π * I)⁻¹ • ∮ z in C(z, R), (z - w)⁻¹ • f z := by simp_rw [circleTransform, circleIntegral, deriv_circleMap, circleMap] simp #align complex.integral_circle_transform Complex.integral_circleTransform
Mathlib/MeasureTheory/Integral/CircleTransform.lean
75
83
theorem continuous_circleTransform {R : ℝ} (hR : 0 < R) {f : ℂ → E} {z w : ℂ} (hf : ContinuousOn f <| sphere z R) (hw : w ∈ ball z R) : Continuous (circleTransform R z w f) := by
apply_rules [Continuous.smul, continuous_const] · simp_rw [deriv_circleMap] apply_rules [Continuous.mul, continuous_circleMap 0 R, continuous_const] · exact continuous_circleMap_inv hw · apply ContinuousOn.comp_continuous hf (continuous_circleMap z R) exact fun _ => (circleMap_mem_sphere _ hR.le) _
0
import Mathlib.Analysis.Calculus.SmoothSeries import Mathlib.Analysis.Calculus.BumpFunction.InnerProduct import Mathlib.Analysis.Convolution import Mathlib.Analysis.InnerProductSpace.EuclideanDist import Mathlib.Data.Set.Pointwise.Support import Mathlib.MeasureTheory.Measure.Haar.NormedSpace import Mathlib.MeasureTheory.Measure.Haar.Unique #align_import analysis.calculus.bump_function_findim from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844" noncomputable section open Set Metric TopologicalSpace Function Asymptotics MeasureTheory FiniteDimensional ContinuousLinearMap Filter MeasureTheory.Measure Bornology open scoped Pointwise Topology NNReal Convolution variable {E : Type*} [NormedAddCommGroup E] section variable [NormedSpace ℝ E] [FiniteDimensional ℝ E] theorem exists_smooth_tsupport_subset {s : Set E} {x : E} (hs : s ∈ 𝓝 x) : ∃ f : E → ℝ, tsupport f ⊆ s ∧ HasCompactSupport f ∧ ContDiff ℝ ⊤ f ∧ range f ⊆ Icc 0 1 ∧ f x = 1 := by obtain ⟨d : ℝ, d_pos : 0 < d, hd : Euclidean.closedBall x d ⊆ s⟩ := Euclidean.nhds_basis_closedBall.mem_iff.1 hs let c : ContDiffBump (toEuclidean x) := { rIn := d / 2 rOut := d rIn_pos := half_pos d_pos rIn_lt_rOut := half_lt_self d_pos } let f : E → ℝ := c ∘ toEuclidean have f_supp : f.support ⊆ Euclidean.ball x d := by intro y hy have : toEuclidean y ∈ Function.support c := by simpa only [Function.mem_support, Function.comp_apply, Ne] using hy rwa [c.support_eq] at this have f_tsupp : tsupport f ⊆ Euclidean.closedBall x d := by rw [tsupport, ← Euclidean.closure_ball _ d_pos.ne'] exact closure_mono f_supp refine ⟨f, f_tsupp.trans hd, ?_, ?_, ?_, ?_⟩ · refine isCompact_of_isClosed_isBounded isClosed_closure ?_ have : IsBounded (Euclidean.closedBall x d) := Euclidean.isCompact_closedBall.isBounded refine this.subset (Euclidean.isClosed_closedBall.closure_subset_iff.2 ?_) exact f_supp.trans Euclidean.ball_subset_closedBall · apply c.contDiff.comp exact ContinuousLinearEquiv.contDiff _ · rintro t ⟨y, rfl⟩ exact ⟨c.nonneg, c.le_one⟩ · apply c.one_of_mem_closedBall apply mem_closedBall_self exact (half_pos d_pos).le #align exists_smooth_tsupport_subset exists_smooth_tsupport_subset
Mathlib/Analysis/Calculus/BumpFunction/FiniteDimension.lean
78
192
theorem IsOpen.exists_smooth_support_eq {s : Set E} (hs : IsOpen s) : ∃ f : E → ℝ, f.support = s ∧ ContDiff ℝ ⊤ f ∧ Set.range f ⊆ Set.Icc 0 1 := by
/- For any given point `x` in `s`, one can construct a smooth function with support in `s` and nonzero at `x`. By second-countability, it follows that we may cover `s` with the supports of countably many such functions, say `g i`. Then `∑ i, r i • g i` will be the desired function if `r i` is a sequence of positive numbers tending quickly enough to zero. Indeed, this ensures that, for any `k ≤ i`, the `k`-th derivative of `r i • g i` is bounded by a prescribed (summable) sequence `u i`. From this, the summability of the series and of its successive derivatives follows. -/ rcases eq_empty_or_nonempty s with (rfl | h's) · exact ⟨fun _ => 0, Function.support_zero, contDiff_const, by simp only [range_const, singleton_subset_iff, left_mem_Icc, zero_le_one]⟩ let ι := { f : E → ℝ // f.support ⊆ s ∧ HasCompactSupport f ∧ ContDiff ℝ ⊤ f ∧ range f ⊆ Icc 0 1 } obtain ⟨T, T_count, hT⟩ : ∃ T : Set ι, T.Countable ∧ ⋃ f ∈ T, support (f : E → ℝ) = s := by have : ⋃ f : ι, (f : E → ℝ).support = s := by refine Subset.antisymm (iUnion_subset fun f => f.2.1) ?_ intro x hx rcases exists_smooth_tsupport_subset (hs.mem_nhds hx) with ⟨f, hf⟩ let g : ι := ⟨f, (subset_tsupport f).trans hf.1, hf.2.1, hf.2.2.1, hf.2.2.2.1⟩ have : x ∈ support (g : E → ℝ) := by simp only [hf.2.2.2.2, Subtype.coe_mk, mem_support, Ne, one_ne_zero, not_false_iff] exact mem_iUnion_of_mem _ this simp_rw [← this] apply isOpen_iUnion_countable rintro ⟨f, hf⟩ exact hf.2.2.1.continuous.isOpen_support obtain ⟨g0, hg⟩ : ∃ g0 : ℕ → ι, T = range g0 := by apply Countable.exists_eq_range T_count rcases eq_empty_or_nonempty T with (rfl | hT) · simp only [ι, iUnion_false, iUnion_empty] at hT simp only [← hT, mem_empty_iff_false, iUnion_of_empty, iUnion_empty, Set.not_nonempty_empty] at h's · exact hT let g : ℕ → E → ℝ := fun n => (g0 n).1 have g_s : ∀ n, support (g n) ⊆ s := fun n => (g0 n).2.1 have s_g : ∀ x ∈ s, ∃ n, x ∈ support (g n) := fun x hx ↦ by rw [← hT] at hx obtain ⟨i, iT, hi⟩ : ∃ i ∈ T, x ∈ support (i : E → ℝ) := by simpa only [mem_iUnion, exists_prop] using hx rw [hg, mem_range] at iT rcases iT with ⟨n, hn⟩ rw [← hn] at hi exact ⟨n, hi⟩ have g_smooth : ∀ n, ContDiff ℝ ⊤ (g n) := fun n => (g0 n).2.2.2.1 have g_comp_supp : ∀ n, HasCompactSupport (g n) := fun n => (g0 n).2.2.1 have g_nonneg : ∀ n x, 0 ≤ g n x := fun n x => ((g0 n).2.2.2.2 (mem_range_self x)).1 obtain ⟨δ, δpos, c, δc, c_lt⟩ : ∃ δ : ℕ → ℝ≥0, (∀ i : ℕ, 0 < δ i) ∧ ∃ c : NNReal, HasSum δ c ∧ c < 1 := NNReal.exists_pos_sum_of_countable one_ne_zero ℕ have : ∀ n : ℕ, ∃ r : ℝ, 0 < r ∧ ∀ i ≤ n, ∀ x, ‖iteratedFDeriv ℝ i (r • g n) x‖ ≤ δ n := by intro n have : ∀ i, ∃ R, ∀ x, ‖iteratedFDeriv ℝ i (fun x => g n x) x‖ ≤ R := by intro i have : BddAbove (range fun x => ‖iteratedFDeriv ℝ i (fun x : E => g n x) x‖) := by apply ((g_smooth n).continuous_iteratedFDeriv le_top).norm.bddAbove_range_of_hasCompactSupport apply HasCompactSupport.comp_left _ norm_zero apply (g_comp_supp n).iteratedFDeriv rcases this with ⟨R, hR⟩ exact ⟨R, fun x => hR (mem_range_self _)⟩ choose R hR using this let M := max (((Finset.range (n + 1)).image R).max' (by simp)) 1 have δnpos : 0 < δ n := δpos n have IR : ∀ i ≤ n, R i ≤ M := by intro i hi refine le_trans ?_ (le_max_left _ _) apply Finset.le_max' apply Finset.mem_image_of_mem -- Porting note: was -- simp only [Finset.mem_range] -- linarith simpa only [Finset.mem_range, Nat.lt_add_one_iff] refine ⟨M⁻¹ * δ n, by positivity, fun i hi x => ?_⟩ calc ‖iteratedFDeriv ℝ i ((M⁻¹ * δ n) • g n) x‖ = ‖(M⁻¹ * δ n) • iteratedFDeriv ℝ i (g n) x‖ := by rw [iteratedFDeriv_const_smul_apply]; exact (g_smooth n).of_le le_top _ = M⁻¹ * δ n * ‖iteratedFDeriv ℝ i (g n) x‖ := by rw [norm_smul _ (iteratedFDeriv ℝ i (g n) x), Real.norm_of_nonneg]; positivity _ ≤ M⁻¹ * δ n * M := (mul_le_mul_of_nonneg_left ((hR i x).trans (IR i hi)) (by positivity)) _ = δ n := by field_simp choose r rpos hr using this have S : ∀ x, Summable fun n => (r n • g n) x := fun x ↦ by refine .of_nnnorm_bounded _ δc.summable fun n => ?_ rw [← NNReal.coe_le_coe, coe_nnnorm] simpa only [norm_iteratedFDeriv_zero] using hr n 0 (zero_le n) x refine ⟨fun x => ∑' n, (r n • g n) x, ?_, ?_, ?_⟩ · apply Subset.antisymm · intro x hx simp only [Pi.smul_apply, Algebra.id.smul_eq_mul, mem_support, Ne] at hx contrapose! hx have : ∀ n, g n x = 0 := by intro n contrapose! hx exact g_s n hx simp only [this, mul_zero, tsum_zero] · intro x hx obtain ⟨n, hn⟩ : ∃ n, x ∈ support (g n) := s_g x hx have I : 0 < r n * g n x := mul_pos (rpos n) (lt_of_le_of_ne (g_nonneg n x) (Ne.symm hn)) exact ne_of_gt (tsum_pos (S x) (fun i => mul_nonneg (rpos i).le (g_nonneg i x)) n I) · refine contDiff_tsum_of_eventually (fun n => (g_smooth n).const_smul (r n)) (fun k _ => (NNReal.hasSum_coe.2 δc).summable) ?_ intro i _ simp only [Nat.cofinite_eq_atTop, Pi.smul_apply, Algebra.id.smul_eq_mul, Filter.eventually_atTop, ge_iff_le] exact ⟨i, fun n hn x => hr _ _ hn _⟩ · rintro - ⟨y, rfl⟩ refine ⟨tsum_nonneg fun n => mul_nonneg (rpos n).le (g_nonneg n y), le_trans ?_ c_lt.le⟩ have A : HasSum (fun n => (δ n : ℝ)) c := NNReal.hasSum_coe.2 δc simp only [Pi.smul_apply, smul_eq_mul, NNReal.val_eq_coe, ← A.tsum_eq, ge_iff_le] apply tsum_le_tsum _ (S y) A.summable intro n apply (le_abs_self _).trans simpa only [norm_iteratedFDeriv_zero] using hr n 0 (zero_le n) y
0
import Mathlib.FieldTheory.PrimitiveElement import Mathlib.LinearAlgebra.Determinant import Mathlib.LinearAlgebra.FiniteDimensional import Mathlib.LinearAlgebra.Matrix.Charpoly.Minpoly import Mathlib.LinearAlgebra.Matrix.ToLinearEquiv import Mathlib.FieldTheory.IsAlgClosed.AlgebraicClosure import Mathlib.FieldTheory.Galois #align_import ring_theory.norm from "leanprover-community/mathlib"@"fecd3520d2a236856f254f27714b80dcfe28ea57" universe u v w variable {R S T : Type*} [CommRing R] [Ring S] variable [Algebra R S] variable {K L F : Type*} [Field K] [Field L] [Field F] variable [Algebra K L] [Algebra K F] variable {ι : Type w} open FiniteDimensional open LinearMap open Matrix Polynomial open scoped Matrix namespace Algebra variable (R) noncomputable def norm : S →* R := LinearMap.det.comp (lmul R S).toRingHom.toMonoidHom #align algebra.norm Algebra.norm theorem norm_apply (x : S) : norm R x = LinearMap.det (lmul R S x) := rfl #align algebra.norm_apply Algebra.norm_apply theorem norm_eq_one_of_not_exists_basis (h : ¬∃ s : Finset S, Nonempty (Basis s R S)) (x : S) : norm R x = 1 := by rw [norm_apply, LinearMap.det]; split_ifs <;> trivial #align algebra.norm_eq_one_of_not_exists_basis Algebra.norm_eq_one_of_not_exists_basis variable {R} theorem norm_eq_one_of_not_module_finite (h : ¬Module.Finite R S) (x : S) : norm R x = 1 := by refine norm_eq_one_of_not_exists_basis _ (mt ?_ h) _ rintro ⟨s, ⟨b⟩⟩ exact Module.Finite.of_basis b #align algebra.norm_eq_one_of_not_module_finite Algebra.norm_eq_one_of_not_module_finite -- Can't be a `simp` lemma because it depends on a choice of basis theorem norm_eq_matrix_det [Fintype ι] [DecidableEq ι] (b : Basis ι R S) (s : S) : norm R s = Matrix.det (Algebra.leftMulMatrix b s) := by rw [norm_apply, ← LinearMap.det_toMatrix b, ← toMatrix_lmul_eq]; rfl #align algebra.norm_eq_matrix_det Algebra.norm_eq_matrix_det theorem norm_algebraMap_of_basis [Fintype ι] (b : Basis ι R S) (x : R) : norm R (algebraMap R S x) = x ^ Fintype.card ι := by haveI := Classical.decEq ι rw [norm_apply, ← det_toMatrix b, lmul_algebraMap] convert @det_diagonal _ _ _ _ _ fun _ : ι => x · ext (i j); rw [toMatrix_lsmul] · rw [Finset.prod_const, Finset.card_univ] #align algebra.norm_algebra_map_of_basis Algebra.norm_algebraMap_of_basis @[simp] protected theorem norm_algebraMap {L : Type*} [Ring L] [Algebra K L] (x : K) : norm K (algebraMap K L x) = x ^ finrank K L := by by_cases H : ∃ s : Finset L, Nonempty (Basis s K L) · rw [norm_algebraMap_of_basis H.choose_spec.some, finrank_eq_card_basis H.choose_spec.some] · rw [norm_eq_one_of_not_exists_basis K H, finrank_eq_zero_of_not_exists_basis, pow_zero] rintro ⟨s, ⟨b⟩⟩ exact H ⟨s, ⟨b⟩⟩ #align algebra.norm_algebra_map Algebra.norm_algebraMap section EqZeroIff variable [Finite ι] @[simp]
Mathlib/RingTheory/Norm.lean
145
147
theorem norm_zero [Nontrivial S] [Module.Free R S] [Module.Finite R S] : norm R (0 : S) = 0 := by
nontriviality rw [norm_apply, coe_lmul_eq_mul, map_zero, LinearMap.det_zero' (Module.Free.chooseBasis R S)]
0
import Mathlib.CategoryTheory.Comma.Basic #align_import category_theory.arrow from "leanprover-community/mathlib"@"32253a1a1071173b33dc7d6a218cf722c6feb514" namespace CategoryTheory universe v u -- morphism levels before object levels. See note [CategoryTheory universes]. variable {T : Type u} [Category.{v} T] section variable (T) def Arrow := Comma.{v, v, v} (𝟭 T) (𝟭 T) #align category_theory.arrow CategoryTheory.Arrow instance : Category (Arrow T) := commaCategory -- Satisfying the inhabited linter instance Arrow.inhabited [Inhabited T] : Inhabited (Arrow T) where default := show Comma (𝟭 T) (𝟭 T) from default #align category_theory.arrow.inhabited CategoryTheory.Arrow.inhabited end namespace Arrow @[ext] lemma hom_ext {X Y : Arrow T} (f g : X ⟶ Y) (h₁ : f.left = g.left) (h₂ : f.right = g.right) : f = g := CommaMorphism.ext _ _ h₁ h₂ @[simp] theorem id_left (f : Arrow T) : CommaMorphism.left (𝟙 f) = 𝟙 f.left := rfl #align category_theory.arrow.id_left CategoryTheory.Arrow.id_left @[simp] theorem id_right (f : Arrow T) : CommaMorphism.right (𝟙 f) = 𝟙 f.right := rfl #align category_theory.arrow.id_right CategoryTheory.Arrow.id_right -- Porting note (#10688): added to ease automation @[simp, reassoc] theorem comp_left {X Y Z : Arrow T} (f : X ⟶ Y) (g : Y ⟶ Z) : (f ≫ g).left = f.left ≫ g.left := rfl -- Porting note (#10688): added to ease automation @[simp, reassoc] theorem comp_right {X Y Z : Arrow T} (f : X ⟶ Y) (g : Y ⟶ Z) : (f ≫ g).right = f.right ≫ g.right := rfl @[simps] def mk {X Y : T} (f : X ⟶ Y) : Arrow T where left := X right := Y hom := f #align category_theory.arrow.mk CategoryTheory.Arrow.mk @[simp] theorem mk_eq (f : Arrow T) : Arrow.mk f.hom = f := by cases f rfl #align category_theory.arrow.mk_eq CategoryTheory.Arrow.mk_eq theorem mk_injective (A B : T) : Function.Injective (Arrow.mk : (A ⟶ B) → Arrow T) := fun f g h => by cases h rfl #align category_theory.arrow.mk_injective CategoryTheory.Arrow.mk_injective theorem mk_inj (A B : T) {f g : A ⟶ B} : Arrow.mk f = Arrow.mk g ↔ f = g := (mk_injective A B).eq_iff #align category_theory.arrow.mk_inj CategoryTheory.Arrow.mk_inj instance {X Y : T} : CoeOut (X ⟶ Y) (Arrow T) where coe := mk @[simps] def homMk {f g : Arrow T} {u : f.left ⟶ g.left} {v : f.right ⟶ g.right} (w : u ≫ g.hom = f.hom ≫ v) : f ⟶ g where left := u right := v w := w #align category_theory.arrow.hom_mk CategoryTheory.Arrow.homMk @[simps] def homMk' {X Y : T} {f : X ⟶ Y} {P Q : T} {g : P ⟶ Q} {u : X ⟶ P} {v : Y ⟶ Q} (w : u ≫ g = f ≫ v) : Arrow.mk f ⟶ Arrow.mk g where left := u right := v w := w #align category_theory.arrow.hom_mk' CategoryTheory.Arrow.homMk' @[reassoc (attr := simp, nolint simpNF)] theorem w {f g : Arrow T} (sq : f ⟶ g) : sq.left ≫ g.hom = f.hom ≫ sq.right := sq.w #align category_theory.arrow.w CategoryTheory.Arrow.w -- `w_mk_left` is not needed, as it is a consequence of `w` and `mk_hom`. @[reassoc (attr := simp)] theorem w_mk_right {f : Arrow T} {X Y : T} {g : X ⟶ Y} (sq : f ⟶ mk g) : sq.left ≫ g = f.hom ≫ sq.right := sq.w #align category_theory.arrow.w_mk_right CategoryTheory.Arrow.w_mk_right
Mathlib/CategoryTheory/Comma/Arrow.lean
138
143
theorem isIso_of_isIso_left_of_isIso_right {f g : Arrow T} (ff : f ⟶ g) [IsIso ff.left] [IsIso ff.right] : IsIso ff where out := by
let inverse : g ⟶ f := ⟨inv ff.left, inv ff.right, (by simp)⟩ apply Exists.intro inverse aesop_cat
0
import Mathlib.MeasureTheory.Function.SimpleFuncDenseLp #align_import measure_theory.integral.set_to_l1 from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" noncomputable section open scoped Classical Topology NNReal ENNReal MeasureTheory Pointwise open Set Filter TopologicalSpace ENNReal EMetric namespace MeasureTheory variable {α E F F' G 𝕜 : Type*} {p : ℝ≥0∞} [NormedAddCommGroup E] [NormedSpace ℝ E] [NormedAddCommGroup F] [NormedSpace ℝ F] [NormedAddCommGroup F'] [NormedSpace ℝ F'] [NormedAddCommGroup G] {m : MeasurableSpace α} {μ : Measure α} local infixr:25 " →ₛ " => SimpleFunc open Finset section FinMeasAdditive def FinMeasAdditive {β} [AddMonoid β] {_ : MeasurableSpace α} (μ : Measure α) (T : Set α → β) : Prop := ∀ s t, MeasurableSet s → MeasurableSet t → μ s ≠ ∞ → μ t ≠ ∞ → s ∩ t = ∅ → T (s ∪ t) = T s + T t #align measure_theory.fin_meas_additive MeasureTheory.FinMeasAdditive namespace FinMeasAdditive variable {β : Type*} [AddCommMonoid β] {T T' : Set α → β} theorem zero : FinMeasAdditive μ (0 : Set α → β) := fun s t _ _ _ _ _ => by simp #align measure_theory.fin_meas_additive.zero MeasureTheory.FinMeasAdditive.zero theorem add (hT : FinMeasAdditive μ T) (hT' : FinMeasAdditive μ T') : FinMeasAdditive μ (T + T') := by intro s t hs ht hμs hμt hst simp only [hT s t hs ht hμs hμt hst, hT' s t hs ht hμs hμt hst, Pi.add_apply] abel #align measure_theory.fin_meas_additive.add MeasureTheory.FinMeasAdditive.add theorem smul [Monoid 𝕜] [DistribMulAction 𝕜 β] (hT : FinMeasAdditive μ T) (c : 𝕜) : FinMeasAdditive μ fun s => c • T s := fun s t hs ht hμs hμt hst => by simp [hT s t hs ht hμs hμt hst] #align measure_theory.fin_meas_additive.smul MeasureTheory.FinMeasAdditive.smul theorem of_eq_top_imp_eq_top {μ' : Measure α} (h : ∀ s, MeasurableSet s → μ s = ∞ → μ' s = ∞) (hT : FinMeasAdditive μ T) : FinMeasAdditive μ' T := fun s t hs ht hμ's hμ't hst => hT s t hs ht (mt (h s hs) hμ's) (mt (h t ht) hμ't) hst #align measure_theory.fin_meas_additive.of_eq_top_imp_eq_top MeasureTheory.FinMeasAdditive.of_eq_top_imp_eq_top theorem of_smul_measure (c : ℝ≥0∞) (hc_ne_top : c ≠ ∞) (hT : FinMeasAdditive (c • μ) T) : FinMeasAdditive μ T := by refine of_eq_top_imp_eq_top (fun s _ hμs => ?_) hT rw [Measure.smul_apply, smul_eq_mul, ENNReal.mul_eq_top] at hμs simp only [hc_ne_top, or_false_iff, Ne, false_and_iff] at hμs exact hμs.2 #align measure_theory.fin_meas_additive.of_smul_measure MeasureTheory.FinMeasAdditive.of_smul_measure theorem smul_measure (c : ℝ≥0∞) (hc_ne_zero : c ≠ 0) (hT : FinMeasAdditive μ T) : FinMeasAdditive (c • μ) T := by refine of_eq_top_imp_eq_top (fun s _ hμs => ?_) hT rw [Measure.smul_apply, smul_eq_mul, ENNReal.mul_eq_top] simp only [hc_ne_zero, true_and_iff, Ne, not_false_iff] exact Or.inl hμs #align measure_theory.fin_meas_additive.smul_measure MeasureTheory.FinMeasAdditive.smul_measure theorem smul_measure_iff (c : ℝ≥0∞) (hc_ne_zero : c ≠ 0) (hc_ne_top : c ≠ ∞) : FinMeasAdditive (c • μ) T ↔ FinMeasAdditive μ T := ⟨fun hT => of_smul_measure c hc_ne_top hT, fun hT => smul_measure c hc_ne_zero hT⟩ #align measure_theory.fin_meas_additive.smul_measure_iff MeasureTheory.FinMeasAdditive.smul_measure_iff
Mathlib/MeasureTheory/Integral/SetToL1.lean
143
149
theorem map_empty_eq_zero {β} [AddCancelMonoid β] {T : Set α → β} (hT : FinMeasAdditive μ T) : T ∅ = 0 := by
have h_empty : μ ∅ ≠ ∞ := (measure_empty.le.trans_lt ENNReal.coe_lt_top).ne specialize hT ∅ ∅ MeasurableSet.empty MeasurableSet.empty h_empty h_empty (Set.inter_empty ∅) rw [Set.union_empty] at hT nth_rw 1 [← add_zero (T ∅)] at hT exact (add_left_cancel hT).symm
0
import Mathlib.Data.Finset.Fold import Mathlib.Algebra.GCDMonoid.Multiset #align_import algebra.gcd_monoid.finset from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853" #align_import algebra.gcd_monoid.div from "leanprover-community/mathlib"@"b537794f8409bc9598febb79cd510b1df5f4539d" variable {ι α β γ : Type*} namespace Finset open Multiset variable [CancelCommMonoidWithZero α] [NormalizedGCDMonoid α] section gcd def gcd (s : Finset β) (f : β → α) : α := s.fold GCDMonoid.gcd 0 f #align finset.gcd Finset.gcd variable {s s₁ s₂ : Finset β} {f : β → α} theorem gcd_def : s.gcd f = (s.1.map f).gcd := rfl #align finset.gcd_def Finset.gcd_def @[simp] theorem gcd_empty : (∅ : Finset β).gcd f = 0 := fold_empty #align finset.gcd_empty Finset.gcd_empty theorem dvd_gcd_iff {a : α} : a ∣ s.gcd f ↔ ∀ b ∈ s, a ∣ f b := by apply Iff.trans Multiset.dvd_gcd simp only [Multiset.mem_map, and_imp, exists_imp] exact ⟨fun k b hb ↦ k _ _ hb rfl, fun k a' b hb h ↦ h ▸ k _ hb⟩ #align finset.dvd_gcd_iff Finset.dvd_gcd_iff theorem gcd_dvd {b : β} (hb : b ∈ s) : s.gcd f ∣ f b := dvd_gcd_iff.1 dvd_rfl _ hb #align finset.gcd_dvd Finset.gcd_dvd theorem dvd_gcd {a : α} : (∀ b ∈ s, a ∣ f b) → a ∣ s.gcd f := dvd_gcd_iff.2 #align finset.dvd_gcd Finset.dvd_gcd @[simp] theorem gcd_insert [DecidableEq β] {b : β} : (insert b s : Finset β).gcd f = GCDMonoid.gcd (f b) (s.gcd f) := by by_cases h : b ∈ s · rw [insert_eq_of_mem h, (gcd_eq_right_iff (f b) (s.gcd f) (Multiset.normalize_gcd (s.1.map f))).2 (gcd_dvd h)] apply fold_insert h #align finset.gcd_insert Finset.gcd_insert @[simp] theorem gcd_singleton {b : β} : ({b} : Finset β).gcd f = normalize (f b) := Multiset.gcd_singleton #align finset.gcd_singleton Finset.gcd_singleton -- Porting note: Priority changed for `simpNF` @[simp 1100] theorem normalize_gcd : normalize (s.gcd f) = s.gcd f := by simp [gcd_def] #align finset.normalize_gcd Finset.normalize_gcd theorem gcd_union [DecidableEq β] : (s₁ ∪ s₂).gcd f = GCDMonoid.gcd (s₁.gcd f) (s₂.gcd f) := Finset.induction_on s₁ (by rw [empty_union, gcd_empty, gcd_zero_left, normalize_gcd]) fun a s _ ih ↦ by rw [insert_union, gcd_insert, gcd_insert, ih, gcd_assoc] #align finset.gcd_union Finset.gcd_union theorem gcd_congr {f g : β → α} (hs : s₁ = s₂) (hfg : ∀ a ∈ s₂, f a = g a) : s₁.gcd f = s₂.gcd g := by subst hs exact Finset.fold_congr hfg #align finset.gcd_congr Finset.gcd_congr theorem gcd_mono_fun {g : β → α} (h : ∀ b ∈ s, f b ∣ g b) : s.gcd f ∣ s.gcd g := dvd_gcd fun b hb ↦ (gcd_dvd hb).trans (h b hb) #align finset.gcd_mono_fun Finset.gcd_mono_fun theorem gcd_mono (h : s₁ ⊆ s₂) : s₂.gcd f ∣ s₁.gcd f := dvd_gcd fun _ hb ↦ gcd_dvd (h hb) #align finset.gcd_mono Finset.gcd_mono theorem gcd_image [DecidableEq β] {g : γ → β} (s : Finset γ) : (s.image g).gcd f = s.gcd (f ∘ g) := by classical induction' s using Finset.induction with c s _ ih <;> simp [*] #align finset.gcd_image Finset.gcd_image theorem gcd_eq_gcd_image [DecidableEq α] : s.gcd f = (s.image f).gcd id := Eq.symm <| gcd_image _ #align finset.gcd_eq_gcd_image Finset.gcd_eq_gcd_image theorem gcd_eq_zero_iff : s.gcd f = 0 ↔ ∀ x : β, x ∈ s → f x = 0 := by rw [gcd_def, Multiset.gcd_eq_zero_iff] constructor <;> intro h · intro b bs apply h (f b) simp only [Multiset.mem_map, mem_def.1 bs] use b simp only [mem_def.1 bs, eq_self_iff_true, and_self] · intro a as rw [Multiset.mem_map] at as rcases as with ⟨b, ⟨bs, rfl⟩⟩ apply h b (mem_def.1 bs) #align finset.gcd_eq_zero_iff Finset.gcd_eq_zero_iff
Mathlib/Algebra/GCDMonoid/Finset.lean
228
241
theorem gcd_eq_gcd_filter_ne_zero [DecidablePred fun x : β ↦ f x = 0] : s.gcd f = (s.filter fun x ↦ f x ≠ 0).gcd f := by
classical trans ((s.filter fun x ↦ f x = 0) ∪ s.filter fun x ↦ (f x ≠ 0)).gcd f · rw [filter_union_filter_neg_eq] rw [gcd_union] refine Eq.trans (?_ : _ = GCDMonoid.gcd (0 : α) ?_) (?_ : GCDMonoid.gcd (0 : α) _ = _) · exact (gcd (filter (fun x => (f x ≠ 0)) s) f) · refine congr (congr rfl <| s.induction_on ?_ ?_) (by simp) · simp · intro a s _ h rw [filter_insert] split_ifs with h1 <;> simp [h, h1] simp only [gcd_zero_left, normalize_gcd]
0
import Mathlib.Analysis.InnerProductSpace.Orthogonal import Mathlib.Analysis.Normed.Group.AddTorsor #align_import geometry.euclidean.basic from "leanprover-community/mathlib"@"2de9c37fa71dde2f1c6feff19876dd6a7b1519f0" open Set open scoped RealInnerProductSpace variable {V P : Type*} [NormedAddCommGroup V] [InnerProductSpace ℝ V] [MetricSpace P] variable [NormedAddTorsor V P] noncomputable section namespace AffineSubspace variable {c c₁ c₂ p₁ p₂ : P} def perpBisector (p₁ p₂ : P) : AffineSubspace ℝ P := .comap ((AffineEquiv.vaddConst ℝ (midpoint ℝ p₁ p₂)).symm : P →ᵃ[ℝ] V) <| (LinearMap.ker (innerₛₗ ℝ (p₂ -ᵥ p₁))).toAffineSubspace theorem mem_perpBisector_iff_inner_eq_zero' : c ∈ perpBisector p₁ p₂ ↔ ⟪p₂ -ᵥ p₁, c -ᵥ midpoint ℝ p₁ p₂⟫ = 0 := Iff.rfl theorem mem_perpBisector_iff_inner_eq_zero : c ∈ perpBisector p₁ p₂ ↔ ⟪c -ᵥ midpoint ℝ p₁ p₂, p₂ -ᵥ p₁⟫ = 0 := inner_eq_zero_symm theorem mem_perpBisector_iff_inner_pointReflection_vsub_eq_zero : c ∈ perpBisector p₁ p₂ ↔ ⟪Equiv.pointReflection c p₁ -ᵥ p₂, p₂ -ᵥ p₁⟫ = 0 := by rw [mem_perpBisector_iff_inner_eq_zero, Equiv.pointReflection_apply, vsub_midpoint, invOf_eq_inv, ← smul_add, real_inner_smul_left, vadd_vsub_assoc] simp theorem mem_perpBisector_pointReflection_iff_inner_eq_zero : c ∈ perpBisector p₁ (Equiv.pointReflection p₂ p₁) ↔ ⟪c -ᵥ p₂, p₁ -ᵥ p₂⟫ = 0 := by rw [mem_perpBisector_iff_inner_eq_zero, midpoint_pointReflection_right, Equiv.pointReflection_apply, vadd_vsub_assoc, inner_add_right, add_self_eq_zero, ← neg_eq_zero, ← inner_neg_right, neg_vsub_eq_vsub_rev] theorem midpoint_mem_perpBisector (p₁ p₂ : P) : midpoint ℝ p₁ p₂ ∈ perpBisector p₁ p₂ := by simp [mem_perpBisector_iff_inner_eq_zero] theorem perpBisector_nonempty : (perpBisector p₁ p₂ : Set P).Nonempty := ⟨_, midpoint_mem_perpBisector _ _⟩ @[simp]
Mathlib/Geometry/Euclidean/PerpBisector.lean
73
78
theorem direction_perpBisector (p₁ p₂ : P) : (perpBisector p₁ p₂).direction = (ℝ ∙ (p₂ -ᵥ p₁))ᗮ := by
erw [perpBisector, comap_symm, map_direction, Submodule.map_id, Submodule.toAffineSubspace_direction] ext x exact Submodule.mem_orthogonal_singleton_iff_inner_right.symm
0
import Mathlib.RingTheory.Ideal.QuotientOperations import Mathlib.RingTheory.Localization.Basic #align_import ring_theory.localization.ideal from "leanprover-community/mathlib"@"e7f0ddbf65bd7181a85edb74b64bdc35ba4bdc74" namespace IsLocalization section CommSemiring variable {R : Type*} [CommSemiring R] (M : Submonoid R) (S : Type*) [CommSemiring S] variable [Algebra R S] [IsLocalization M S] private def map_ideal (I : Ideal R) : Ideal S where carrier := { z : S | ∃ x : I × M, z * algebraMap R S x.2 = algebraMap R S x.1 } zero_mem' := ⟨⟨0, 1⟩, by simp⟩ add_mem' := by rintro a b ⟨a', ha⟩ ⟨b', hb⟩ let Z : { x // x ∈ I } := ⟨(a'.2 : R) * (b'.1 : R) + (b'.2 : R) * (a'.1 : R), I.add_mem (I.mul_mem_left _ b'.1.2) (I.mul_mem_left _ a'.1.2)⟩ use ⟨Z, a'.2 * b'.2⟩ simp only [RingHom.map_add, Submodule.coe_mk, Submonoid.coe_mul, RingHom.map_mul] rw [add_mul, ← mul_assoc a, ha, mul_comm (algebraMap R S a'.2) (algebraMap R S b'.2), ← mul_assoc b, hb] ring smul_mem' := by rintro c x ⟨x', hx⟩ obtain ⟨c', hc⟩ := IsLocalization.surj M c let Z : { x // x ∈ I } := ⟨c'.1 * x'.1, I.mul_mem_left c'.1 x'.1.2⟩ use ⟨Z, c'.2 * x'.2⟩ simp only [← hx, ← hc, smul_eq_mul, Submodule.coe_mk, Submonoid.coe_mul, RingHom.map_mul] ring -- Porting note: removed #align declaration since it is a private def theorem mem_map_algebraMap_iff {I : Ideal R} {z} : z ∈ Ideal.map (algebraMap R S) I ↔ ∃ x : I × M, z * algebraMap R S x.2 = algebraMap R S x.1 := by constructor · change _ → z ∈ map_ideal M S I refine fun h => Ideal.mem_sInf.1 h fun z hz => ?_ obtain ⟨y, hy⟩ := hz let Z : { x // x ∈ I } := ⟨y, hy.left⟩ use ⟨Z, 1⟩ simp [hy.right] · rintro ⟨⟨a, s⟩, h⟩ rw [← Ideal.unit_mul_mem_iff_mem _ (map_units S s), mul_comm] exact h.symm ▸ Ideal.mem_map_of_mem _ a.2 #align is_localization.mem_map_algebra_map_iff IsLocalization.mem_map_algebraMap_iff theorem map_comap (J : Ideal S) : Ideal.map (algebraMap R S) (Ideal.comap (algebraMap R S) J) = J := le_antisymm (Ideal.map_le_iff_le_comap.2 le_rfl) fun x hJ => by obtain ⟨r, s, hx⟩ := mk'_surjective M x rw [← hx] at hJ ⊢ exact Ideal.mul_mem_right _ _ (Ideal.mem_map_of_mem _ (show (algebraMap R S) r ∈ J from mk'_spec S r s ▸ J.mul_mem_right ((algebraMap R S) s) hJ)) #align is_localization.map_comap IsLocalization.map_comap
Mathlib/RingTheory/Localization/Ideal.lean
78
89
theorem comap_map_of_isPrime_disjoint (I : Ideal R) (hI : I.IsPrime) (hM : Disjoint (M : Set R) I) : Ideal.comap (algebraMap R S) (Ideal.map (algebraMap R S) I) = I := by
refine le_antisymm ?_ Ideal.le_comap_map refine (fun a ha => ?_) obtain ⟨⟨b, s⟩, h⟩ := (mem_map_algebraMap_iff M S).1 (Ideal.mem_comap.1 ha) replace h : algebraMap R S (s * a) = algebraMap R S b := by simpa only [← map_mul, mul_comm] using h obtain ⟨c, hc⟩ := (eq_iff_exists M S).1 h have : ↑c * ↑s * a ∈ I := by rw [mul_assoc, hc] exact I.mul_mem_left c b.2 exact (hI.mem_or_mem this).resolve_left fun hsc => hM.le_bot ⟨(c * s).2, hsc⟩
0
import Mathlib.Algebra.GCDMonoid.Finset import Mathlib.Algebra.Polynomial.CancelLeads import Mathlib.Algebra.Polynomial.EraseLead import Mathlib.Algebra.Polynomial.FieldDivision #align_import ring_theory.polynomial.content from "leanprover-community/mathlib"@"7a030ab8eb5d99f05a891dccc49c5b5b90c947d3" namespace Polynomial open Polynomial variable {R : Type*} [CommRing R] [IsDomain R] section NormalizedGCDMonoid variable [NormalizedGCDMonoid R] def content (p : R[X]) : R := p.support.gcd p.coeff #align polynomial.content Polynomial.content theorem content_dvd_coeff {p : R[X]} (n : ℕ) : p.content ∣ p.coeff n := by by_cases h : n ∈ p.support · apply Finset.gcd_dvd h rw [mem_support_iff, Classical.not_not] at h rw [h] apply dvd_zero #align polynomial.content_dvd_coeff Polynomial.content_dvd_coeff @[simp] theorem content_C {r : R} : (C r).content = normalize r := by rw [content] by_cases h0 : r = 0 · simp [h0] have h : (C r).support = {0} := support_monomial _ h0 simp [h] set_option linter.uppercaseLean3 false in #align polynomial.content_C Polynomial.content_C @[simp] theorem content_zero : content (0 : R[X]) = 0 := by rw [← C_0, content_C, normalize_zero] #align polynomial.content_zero Polynomial.content_zero @[simp] theorem content_one : content (1 : R[X]) = 1 := by rw [← C_1, content_C, normalize_one] #align polynomial.content_one Polynomial.content_one theorem content_X_mul {p : R[X]} : content (X * p) = content p := by rw [content, content, Finset.gcd_def, Finset.gcd_def] refine congr rfl ?_ have h : (X * p).support = p.support.map ⟨Nat.succ, Nat.succ_injective⟩ := by ext a simp only [exists_prop, Finset.mem_map, Function.Embedding.coeFn_mk, Ne, mem_support_iff] cases' a with a · simp [coeff_X_mul_zero, Nat.succ_ne_zero] rw [mul_comm, coeff_mul_X] constructor · intro h use a · rintro ⟨b, ⟨h1, h2⟩⟩ rw [← Nat.succ_injective h2] apply h1 rw [h] simp only [Finset.map_val, Function.comp_apply, Function.Embedding.coeFn_mk, Multiset.map_map] refine congr (congr rfl ?_) rfl ext a rw [mul_comm] simp [coeff_mul_X] set_option linter.uppercaseLean3 false in #align polynomial.content_X_mul Polynomial.content_X_mul @[simp]
Mathlib/RingTheory/Polynomial/Content.lean
134
137
theorem content_X_pow {k : ℕ} : content ((X : R[X]) ^ k) = 1 := by
induction' k with k hi · simp rw [pow_succ', content_X_mul, hi]
0
import Batteries.Classes.SatisfiesM namespace Array theorem SatisfiesM_foldlM [Monad m] [LawfulMonad m] {as : Array α} (motive : Nat → β → Prop) {init : β} (h0 : motive 0 init) {f : β → α → m β} (hf : ∀ i : Fin as.size, ∀ b, motive i.1 b → SatisfiesM (motive (i.1 + 1)) (f b as[i])) : SatisfiesM (motive as.size) (as.foldlM f init) := by let rec go {i j b} (h₁ : j ≤ as.size) (h₂ : as.size ≤ i + j) (H : motive j b) : SatisfiesM (motive as.size) (foldlM.loop f as as.size (Nat.le_refl _) i j b) := by unfold foldlM.loop; split · next hj => split · cases Nat.not_le_of_gt (by simp [hj]) h₂ · exact (hf ⟨j, hj⟩ b H).bind fun _ => go hj (by rwa [Nat.succ_add] at h₂) · next hj => exact Nat.le_antisymm h₁ (Nat.ge_of_not_lt hj) ▸ .pure H simp [foldlM]; exact go (Nat.zero_le _) (Nat.le_refl _) h0
.lake/packages/batteries/Batteries/Data/Array/Monadic.lean
32
48
theorem SatisfiesM_mapM [Monad m] [LawfulMonad m] (as : Array α) (f : α → m β) (motive : Nat → Prop) (h0 : motive 0) (p : Fin as.size → β → Prop) (hs : ∀ i, motive i.1 → SatisfiesM (p i · ∧ motive (i + 1)) (f as[i])) : SatisfiesM (fun arr => motive as.size ∧ ∃ eq : arr.size = as.size, ∀ i h, p ⟨i, h⟩ arr[i]) (Array.mapM f as) := by
rw [mapM_eq_foldlM] refine SatisfiesM_foldlM (m := m) (β := Array β) (motive := fun i arr => motive i ∧ arr.size = i ∧ ∀ i h2, p i (arr[i.1]'h2)) ?z ?s |>.imp fun ⟨h₁, eq, h₂⟩ => ⟨h₁, eq, fun _ _ => h₂ ..⟩ · case z => exact ⟨h0, rfl, nofun⟩ · case s => intro ⟨i, hi⟩ arr ⟨ih₁, eq, ih₂⟩ refine (hs _ ih₁).map fun ⟨h₁, h₂⟩ => ⟨h₂, by simp [eq], fun j hj => ?_⟩ simp [get_push] at hj ⊢; split; {apply ih₂} cases j; cases (Nat.le_or_eq_of_le_succ hj).resolve_left ‹_›; cases eq; exact h₁
0
import Mathlib.Algebra.NeZero import Mathlib.Algebra.Polynomial.BigOperators import Mathlib.Algebra.Polynomial.Lifts import Mathlib.Algebra.Polynomial.Splits import Mathlib.RingTheory.RootsOfUnity.Complex import Mathlib.NumberTheory.ArithmeticFunction import Mathlib.RingTheory.RootsOfUnity.Basic import Mathlib.FieldTheory.RatFunc.AsPolynomial #align_import ring_theory.polynomial.cyclotomic.basic from "leanprover-community/mathlib"@"7fdeecc0d03cd40f7a165e6cf00a4d2286db599f" open scoped Polynomial noncomputable section universe u namespace Polynomial section Cyclotomic' section IsDomain variable {R : Type*} [CommRing R] [IsDomain R] def cyclotomic' (n : ℕ) (R : Type*) [CommRing R] [IsDomain R] : R[X] := ∏ μ ∈ primitiveRoots n R, (X - C μ) #align polynomial.cyclotomic' Polynomial.cyclotomic' @[simp] theorem cyclotomic'_zero (R : Type*) [CommRing R] [IsDomain R] : cyclotomic' 0 R = 1 := by simp only [cyclotomic', Finset.prod_empty, primitiveRoots_zero] #align polynomial.cyclotomic'_zero Polynomial.cyclotomic'_zero @[simp] theorem cyclotomic'_one (R : Type*) [CommRing R] [IsDomain R] : cyclotomic' 1 R = X - 1 := by simp only [cyclotomic', Finset.prod_singleton, RingHom.map_one, IsPrimitiveRoot.primitiveRoots_one] #align polynomial.cyclotomic'_one Polynomial.cyclotomic'_one @[simp] theorem cyclotomic'_two (R : Type*) [CommRing R] [IsDomain R] (p : ℕ) [CharP R p] (hp : p ≠ 2) : cyclotomic' 2 R = X + 1 := by rw [cyclotomic'] have prim_root_two : primitiveRoots 2 R = {(-1 : R)} := by simp only [Finset.eq_singleton_iff_unique_mem, mem_primitiveRoots two_pos] exact ⟨IsPrimitiveRoot.neg_one p hp, fun x => IsPrimitiveRoot.eq_neg_one_of_two_right⟩ simp only [prim_root_two, Finset.prod_singleton, RingHom.map_neg, RingHom.map_one, sub_neg_eq_add] #align polynomial.cyclotomic'_two Polynomial.cyclotomic'_two theorem cyclotomic'.monic (n : ℕ) (R : Type*) [CommRing R] [IsDomain R] : (cyclotomic' n R).Monic := monic_prod_of_monic _ _ fun _ _ => monic_X_sub_C _ #align polynomial.cyclotomic'.monic Polynomial.cyclotomic'.monic theorem cyclotomic'_ne_zero (n : ℕ) (R : Type*) [CommRing R] [IsDomain R] : cyclotomic' n R ≠ 0 := (cyclotomic'.monic n R).ne_zero #align polynomial.cyclotomic'_ne_zero Polynomial.cyclotomic'_ne_zero theorem natDegree_cyclotomic' {ζ : R} {n : ℕ} (h : IsPrimitiveRoot ζ n) : (cyclotomic' n R).natDegree = Nat.totient n := by rw [cyclotomic'] rw [natDegree_prod (primitiveRoots n R) fun z : R => X - C z] · simp only [IsPrimitiveRoot.card_primitiveRoots h, mul_one, natDegree_X_sub_C, Nat.cast_id, Finset.sum_const, nsmul_eq_mul] intro z _ exact X_sub_C_ne_zero z #align polynomial.nat_degree_cyclotomic' Polynomial.natDegree_cyclotomic' theorem degree_cyclotomic' {ζ : R} {n : ℕ} (h : IsPrimitiveRoot ζ n) : (cyclotomic' n R).degree = Nat.totient n := by simp only [degree_eq_natDegree (cyclotomic'_ne_zero n R), natDegree_cyclotomic' h] #align polynomial.degree_cyclotomic' Polynomial.degree_cyclotomic' theorem roots_of_cyclotomic (n : ℕ) (R : Type*) [CommRing R] [IsDomain R] : (cyclotomic' n R).roots = (primitiveRoots n R).val := by rw [cyclotomic']; exact roots_prod_X_sub_C (primitiveRoots n R) #align polynomial.roots_of_cyclotomic Polynomial.roots_of_cyclotomic
Mathlib/RingTheory/Polynomial/Cyclotomic/Basic.lean
131
141
theorem X_pow_sub_one_eq_prod {ζ : R} {n : ℕ} (hpos : 0 < n) (h : IsPrimitiveRoot ζ n) : X ^ n - 1 = ∏ ζ ∈ nthRootsFinset n R, (X - C ζ) := by
classical rw [nthRootsFinset, ← Multiset.toFinset_eq (IsPrimitiveRoot.nthRoots_one_nodup h)] simp only [Finset.prod_mk, RingHom.map_one] rw [nthRoots] have hmonic : (X ^ n - C (1 : R)).Monic := monic_X_pow_sub_C (1 : R) (ne_of_lt hpos).symm symm apply prod_multiset_X_sub_C_of_monic_of_roots_card_eq hmonic rw [@natDegree_X_pow_sub_C R _ _ n 1, ← nthRoots] exact IsPrimitiveRoot.card_nthRoots_one h
0
import Mathlib.Data.List.Cycle import Mathlib.GroupTheory.Perm.Cycle.Type import Mathlib.GroupTheory.Perm.List #align_import group_theory.perm.cycle.concrete from "leanprover-community/mathlib"@"00638177efd1b2534fc5269363ebf42a7871df9a" open Equiv Equiv.Perm List variable {α : Type*} namespace List variable [DecidableEq α] {l l' : List α} theorem formPerm_disjoint_iff (hl : Nodup l) (hl' : Nodup l') (hn : 2 ≤ l.length) (hn' : 2 ≤ l'.length) : Perm.Disjoint (formPerm l) (formPerm l') ↔ l.Disjoint l' := by rw [disjoint_iff_eq_or_eq, List.Disjoint] constructor · rintro h x hx hx' specialize h x rw [formPerm_apply_mem_eq_self_iff _ hl _ hx, formPerm_apply_mem_eq_self_iff _ hl' _ hx'] at h omega · intro h x by_cases hx : x ∈ l on_goal 1 => by_cases hx' : x ∈ l' · exact (h hx hx').elim all_goals have := formPerm_eq_self_of_not_mem _ _ ‹_›; tauto #align list.form_perm_disjoint_iff List.formPerm_disjoint_iff
Mathlib/GroupTheory/Perm/Cycle/Concrete.lean
73
86
theorem isCycle_formPerm (hl : Nodup l) (hn : 2 ≤ l.length) : IsCycle (formPerm l) := by
cases' l with x l · set_option tactic.skipAssignedInstances false in norm_num at hn induction' l with y l generalizing x · set_option tactic.skipAssignedInstances false in norm_num at hn · use x constructor · rwa [formPerm_apply_mem_ne_self_iff _ hl _ (mem_cons_self _ _)] · intro w hw have : w ∈ x::y::l := mem_of_formPerm_ne_self _ _ hw obtain ⟨k, hk⟩ := get_of_mem this use k rw [← hk] simp only [zpow_natCast, formPerm_pow_apply_head _ _ hl k, Nat.mod_eq_of_lt k.isLt]
0
import Mathlib.Topology.MetricSpace.HausdorffDistance import Mathlib.MeasureTheory.Constructions.BorelSpace.Order #align_import measure_theory.measure.regular from "leanprover-community/mathlib"@"bf6a01357ff5684b1ebcd0f1a13be314fc82c0bf" open Set Filter ENNReal Topology NNReal TopologicalSpace namespace MeasureTheory namespace Measure def InnerRegularWRT {α} {_ : MeasurableSpace α} (μ : Measure α) (p q : Set α → Prop) := ∀ ⦃U⦄, q U → ∀ r < μ U, ∃ K, K ⊆ U ∧ p K ∧ r < μ K #align measure_theory.measure.inner_regular MeasureTheory.Measure.InnerRegularWRT namespace InnerRegularWRT variable {α : Type*} {m : MeasurableSpace α} {μ : Measure α} {p q : Set α → Prop} {U : Set α} {ε : ℝ≥0∞} theorem measure_eq_iSup (H : InnerRegularWRT μ p q) (hU : q U) : μ U = ⨆ (K) (_ : K ⊆ U) (_ : p K), μ K := by refine le_antisymm (le_of_forall_lt fun r hr => ?_) (iSup₂_le fun K hK => iSup_le fun _ => μ.mono hK) simpa only [lt_iSup_iff, exists_prop] using H hU r hr #align measure_theory.measure.inner_regular.measure_eq_supr MeasureTheory.Measure.InnerRegularWRT.measure_eq_iSup
Mathlib/MeasureTheory/Measure/Regular.lean
222
228
theorem exists_subset_lt_add (H : InnerRegularWRT μ p q) (h0 : p ∅) (hU : q U) (hμU : μ U ≠ ∞) (hε : ε ≠ 0) : ∃ K, K ⊆ U ∧ p K ∧ μ U < μ K + ε := by
rcases eq_or_ne (μ U) 0 with h₀ | h₀ · refine ⟨∅, empty_subset _, h0, ?_⟩ rwa [measure_empty, h₀, zero_add, pos_iff_ne_zero] · rcases H hU _ (ENNReal.sub_lt_self hμU h₀ hε) with ⟨K, hKU, hKc, hrK⟩ exact ⟨K, hKU, hKc, ENNReal.lt_add_of_sub_lt_right (Or.inl hμU) hrK⟩
0
import Mathlib.Algebra.Order.Ring.Abs import Mathlib.Tactic.Ring #align_import data.nat.hyperoperation from "leanprover-community/mathlib"@"f7fc89d5d5ff1db2d1242c7bb0e9062ce47ef47c" def hyperoperation : ℕ → ℕ → ℕ → ℕ | 0, _, k => k + 1 | 1, m, 0 => m | 2, _, 0 => 0 | _ + 3, _, 0 => 1 | n + 1, m, k + 1 => hyperoperation n m (hyperoperation (n + 1) m k) #align hyperoperation hyperoperation -- Basic hyperoperation lemmas @[simp] theorem hyperoperation_zero (m : ℕ) : hyperoperation 0 m = Nat.succ := funext fun k => by rw [hyperoperation, Nat.succ_eq_add_one] #align hyperoperation_zero hyperoperation_zero theorem hyperoperation_ge_three_eq_one (n m : ℕ) : hyperoperation (n + 3) m 0 = 1 := by rw [hyperoperation] #align hyperoperation_ge_three_eq_one hyperoperation_ge_three_eq_one theorem hyperoperation_recursion (n m k : ℕ) : hyperoperation (n + 1) m (k + 1) = hyperoperation n m (hyperoperation (n + 1) m k) := by rw [hyperoperation] #align hyperoperation_recursion hyperoperation_recursion -- Interesting hyperoperation lemmas @[simp] theorem hyperoperation_one : hyperoperation 1 = (· + ·) := by ext m k induction' k with bn bih · rw [Nat.add_zero m, hyperoperation] · rw [hyperoperation_recursion, bih, hyperoperation_zero] exact Nat.add_assoc m bn 1 #align hyperoperation_one hyperoperation_one @[simp] theorem hyperoperation_two : hyperoperation 2 = (· * ·) := by ext m k induction' k with bn bih · rw [hyperoperation] exact (Nat.mul_zero m).symm · rw [hyperoperation_recursion, hyperoperation_one, bih] -- Porting note: was `ring` dsimp only nth_rewrite 1 [← mul_one m] rw [← mul_add, add_comm] #align hyperoperation_two hyperoperation_two @[simp] theorem hyperoperation_three : hyperoperation 3 = (· ^ ·) := by ext m k induction' k with bn bih · rw [hyperoperation_ge_three_eq_one] exact (pow_zero m).symm · rw [hyperoperation_recursion, hyperoperation_two, bih] exact (pow_succ' m bn).symm #align hyperoperation_three hyperoperation_three
Mathlib/Data/Nat/Hyperoperation.lean
91
95
theorem hyperoperation_ge_two_eq_self (n m : ℕ) : hyperoperation (n + 2) m 1 = m := by
induction' n with nn nih · rw [hyperoperation_two] ring · rw [hyperoperation_recursion, hyperoperation_ge_three_eq_one, nih]
0
import Mathlib.Geometry.Euclidean.Angle.Oriented.Affine import Mathlib.Geometry.Euclidean.Angle.Unoriented.RightAngle #align_import geometry.euclidean.angle.oriented.right_angle from "leanprover-community/mathlib"@"46b633fd842bef9469441c0209906f6dddd2b4f5" noncomputable section open scoped EuclideanGeometry open scoped Real open scoped RealInnerProductSpace namespace EuclideanGeometry open FiniteDimensional variable {V : Type*} {P : Type*} [NormedAddCommGroup V] [InnerProductSpace ℝ V] [MetricSpace P] [NormedAddTorsor V P] [hd2 : Fact (finrank ℝ V = 2)] [Module.Oriented ℝ V (Fin 2)] theorem oangle_right_eq_arccos_of_oangle_eq_pi_div_two {p₁ p₂ p₃ : P} (h : ∡ p₁ p₂ p₃ = ↑(π / 2)) : ∡ p₂ p₃ p₁ = Real.arccos (dist p₃ p₂ / dist p₁ p₃) := by have hs : (∡ p₂ p₃ p₁).sign = 1 := by rw [oangle_rotate_sign, h, Real.Angle.sign_coe_pi_div_two] rw [oangle_eq_angle_of_sign_eq_one hs, angle_eq_arccos_of_angle_eq_pi_div_two (angle_eq_pi_div_two_of_oangle_eq_pi_div_two h)] #align euclidean_geometry.oangle_right_eq_arccos_of_oangle_eq_pi_div_two EuclideanGeometry.oangle_right_eq_arccos_of_oangle_eq_pi_div_two
Mathlib/Geometry/Euclidean/Angle/Oriented/RightAngle.lean
592
597
theorem oangle_left_eq_arccos_of_oangle_eq_pi_div_two {p₁ p₂ p₃ : P} (h : ∡ p₁ p₂ p₃ = ↑(π / 2)) : ∡ p₃ p₁ p₂ = Real.arccos (dist p₁ p₂ / dist p₁ p₃) := by
have hs : (∡ p₃ p₁ p₂).sign = 1 := by rw [← oangle_rotate_sign, h, Real.Angle.sign_coe_pi_div_two] rw [oangle_eq_angle_of_sign_eq_one hs, angle_comm, angle_eq_arccos_of_angle_eq_pi_div_two (angle_rev_eq_pi_div_two_of_oangle_eq_pi_div_two h), dist_comm p₁ p₃]
0
import Mathlib.Algebra.Order.Kleene import Mathlib.Algebra.Ring.Hom.Defs import Mathlib.Data.List.Join import Mathlib.Data.Set.Lattice import Mathlib.Tactic.DeriveFintype #align_import computability.language from "leanprover-community/mathlib"@"a239cd3e7ac2c7cde36c913808f9d40c411344f6" open List Set Computability universe v variable {α β γ : Type*} def Language (α) := Set (List α) #align language Language instance : Membership (List α) (Language α) := ⟨Set.Mem⟩ instance : Singleton (List α) (Language α) := ⟨Set.singleton⟩ instance : Insert (List α) (Language α) := ⟨Set.insert⟩ instance : CompleteAtomicBooleanAlgebra (Language α) := Set.completeAtomicBooleanAlgebra namespace Language variable {l m : Language α} {a b x : List α} -- Porting note: `reducible` attribute cannot be local. -- attribute [local reducible] Language instance : Zero (Language α) := ⟨(∅ : Set _)⟩ instance : One (Language α) := ⟨{[]}⟩ instance : Inhabited (Language α) := ⟨(∅ : Set _)⟩ instance : Add (Language α) := ⟨((· ∪ ·) : Set (List α) → Set (List α) → Set (List α))⟩ instance : Mul (Language α) := ⟨image2 (· ++ ·)⟩ theorem zero_def : (0 : Language α) = (∅ : Set _) := rfl #align language.zero_def Language.zero_def theorem one_def : (1 : Language α) = ({[]} : Set (List α)) := rfl #align language.one_def Language.one_def theorem add_def (l m : Language α) : l + m = (l ∪ m : Set (List α)) := rfl #align language.add_def Language.add_def theorem mul_def (l m : Language α) : l * m = image2 (· ++ ·) l m := rfl #align language.mul_def Language.mul_def instance : KStar (Language α) := ⟨fun l ↦ {x | ∃ L : List (List α), x = L.join ∧ ∀ y ∈ L, y ∈ l}⟩ lemma kstar_def (l : Language α) : l∗ = {x | ∃ L : List (List α), x = L.join ∧ ∀ y ∈ L, y ∈ l} := rfl #align language.kstar_def Language.kstar_def -- Porting note: `reducible` attribute cannot be local, -- so this new theorem is required in place of `Set.ext`. @[ext] theorem ext {l m : Language α} (h : ∀ (x : List α), x ∈ l ↔ x ∈ m) : l = m := Set.ext h @[simp] theorem not_mem_zero (x : List α) : x ∉ (0 : Language α) := id #align language.not_mem_zero Language.not_mem_zero @[simp] theorem mem_one (x : List α) : x ∈ (1 : Language α) ↔ x = [] := by rfl #align language.mem_one Language.mem_one theorem nil_mem_one : [] ∈ (1 : Language α) := Set.mem_singleton _ #align language.nil_mem_one Language.nil_mem_one theorem mem_add (l m : Language α) (x : List α) : x ∈ l + m ↔ x ∈ l ∨ x ∈ m := Iff.rfl #align language.mem_add Language.mem_add theorem mem_mul : x ∈ l * m ↔ ∃ a ∈ l, ∃ b ∈ m, a ++ b = x := mem_image2 #align language.mem_mul Language.mem_mul theorem append_mem_mul : a ∈ l → b ∈ m → a ++ b ∈ l * m := mem_image2_of_mem #align language.append_mem_mul Language.append_mem_mul theorem mem_kstar : x ∈ l∗ ↔ ∃ L : List (List α), x = L.join ∧ ∀ y ∈ L, y ∈ l := Iff.rfl #align language.mem_kstar Language.mem_kstar theorem join_mem_kstar {L : List (List α)} (h : ∀ y ∈ L, y ∈ l) : L.join ∈ l∗ := ⟨L, rfl, h⟩ #align language.join_mem_kstar Language.join_mem_kstar theorem nil_mem_kstar (l : Language α) : [] ∈ l∗ := ⟨[], rfl, fun _ h ↦ by contradiction⟩ #align language.nil_mem_kstar Language.nil_mem_kstar instance instSemiring : Semiring (Language α) where add := (· + ·) add_assoc := union_assoc zero := 0 zero_add := empty_union add_zero := union_empty add_comm := union_comm mul := (· * ·) mul_assoc _ _ _ := image2_assoc append_assoc zero_mul _ := image2_empty_left mul_zero _ := image2_empty_right one := 1 one_mul l := by simp [mul_def, one_def] mul_one l := by simp [mul_def, one_def] natCast n := if n = 0 then 0 else 1 natCast_zero := rfl natCast_succ n := by cases n <;> simp [Nat.cast, add_def, zero_def] left_distrib _ _ _ := image2_union_right right_distrib _ _ _ := image2_union_left nsmul := nsmulRec @[simp] theorem add_self (l : Language α) : l + l = l := sup_idem _ #align language.add_self Language.add_self def map (f : α → β) : Language α →+* Language β where toFun := image (List.map f) map_zero' := image_empty _ map_one' := image_singleton map_add' := image_union _ map_mul' _ _ := image_image2_distrib <| map_append _ #align language.map Language.map @[simp] theorem map_id (l : Language α) : map id l = l := by simp [map] #align language.map_id Language.map_id @[simp]
Mathlib/Computability/Language.lean
175
176
theorem map_map (g : β → γ) (f : α → β) (l : Language α) : map g (map f l) = map (g ∘ f) l := by
simp [map, image_image]
0
import Mathlib.RingTheory.GradedAlgebra.HomogeneousIdeal import Mathlib.Topology.Category.TopCat.Basic import Mathlib.Topology.Sets.Opens import Mathlib.Data.Set.Subsingleton #align_import algebraic_geometry.projective_spectrum.topology from "leanprover-community/mathlib"@"d39590fc8728fbf6743249802486f8c91ffe07bc" noncomputable section open DirectSum Pointwise SetLike TopCat TopologicalSpace CategoryTheory Opposite variable {R A : Type*} variable [CommSemiring R] [CommRing A] [Algebra R A] variable (𝒜 : ℕ → Submodule R A) [GradedAlgebra 𝒜] -- porting note (#5171): removed @[nolint has_nonempty_instance] @[ext] structure ProjectiveSpectrum where asHomogeneousIdeal : HomogeneousIdeal 𝒜 isPrime : asHomogeneousIdeal.toIdeal.IsPrime not_irrelevant_le : ¬HomogeneousIdeal.irrelevant 𝒜 ≤ asHomogeneousIdeal #align projective_spectrum ProjectiveSpectrum attribute [instance] ProjectiveSpectrum.isPrime namespace ProjectiveSpectrum def zeroLocus (s : Set A) : Set (ProjectiveSpectrum 𝒜) := { x | s ⊆ x.asHomogeneousIdeal } #align projective_spectrum.zero_locus ProjectiveSpectrum.zeroLocus @[simp] theorem mem_zeroLocus (x : ProjectiveSpectrum 𝒜) (s : Set A) : x ∈ zeroLocus 𝒜 s ↔ s ⊆ x.asHomogeneousIdeal := Iff.rfl #align projective_spectrum.mem_zero_locus ProjectiveSpectrum.mem_zeroLocus @[simp] theorem zeroLocus_span (s : Set A) : zeroLocus 𝒜 (Ideal.span s) = zeroLocus 𝒜 s := by ext x exact (Submodule.gi _ _).gc s x.asHomogeneousIdeal.toIdeal #align projective_spectrum.zero_locus_span ProjectiveSpectrum.zeroLocus_span variable {𝒜} def vanishingIdeal (t : Set (ProjectiveSpectrum 𝒜)) : HomogeneousIdeal 𝒜 := ⨅ (x : ProjectiveSpectrum 𝒜) (_ : x ∈ t), x.asHomogeneousIdeal #align projective_spectrum.vanishing_ideal ProjectiveSpectrum.vanishingIdeal
Mathlib/AlgebraicGeometry/ProjectiveSpectrum/Topology.lean
99
106
theorem coe_vanishingIdeal (t : Set (ProjectiveSpectrum 𝒜)) : (vanishingIdeal t : Set A) = { f | ∀ x : ProjectiveSpectrum 𝒜, x ∈ t → f ∈ x.asHomogeneousIdeal } := by
ext f rw [vanishingIdeal, SetLike.mem_coe, ← HomogeneousIdeal.mem_iff, HomogeneousIdeal.toIdeal_iInf, Submodule.mem_iInf] refine forall_congr' fun x => ?_ rw [HomogeneousIdeal.toIdeal_iInf, Submodule.mem_iInf, HomogeneousIdeal.mem_iff]
0
import Mathlib.Algebra.Polynomial.Degree.Definitions import Mathlib.Algebra.Polynomial.Eval import Mathlib.Algebra.Polynomial.Monic import Mathlib.Algebra.Polynomial.RingDivision import Mathlib.Tactic.Abel #align_import ring_theory.polynomial.pochhammer from "leanprover-community/mathlib"@"53b216bcc1146df1c4a0a86877890ea9f1f01589" universe u v open Polynomial open Polynomial section Ring variable (R : Type u) [Ring R] noncomputable def descPochhammer : ℕ → R[X] | 0 => 1 | n + 1 => X * (descPochhammer n).comp (X - 1) @[simp] theorem descPochhammer_zero : descPochhammer R 0 = 1 := rfl @[simp] theorem descPochhammer_one : descPochhammer R 1 = X := by simp [descPochhammer] theorem descPochhammer_succ_left (n : ℕ) : descPochhammer R (n + 1) = X * (descPochhammer R n).comp (X - 1) := by rw [descPochhammer]
Mathlib/RingTheory/Polynomial/Pochhammer.lean
262
269
theorem monic_descPochhammer (n : ℕ) [Nontrivial R] [NoZeroDivisors R] : Monic <| descPochhammer R n := by
induction' n with n hn · simp · have h : leadingCoeff (X - 1 : R[X]) = 1 := leadingCoeff_X_sub_C 1 have : natDegree (X - (1 : R[X])) ≠ 0 := ne_zero_of_eq_one <| natDegree_X_sub_C (1 : R) rw [descPochhammer_succ_left, Monic.def, leadingCoeff_mul, leadingCoeff_comp this, hn, monic_X, one_mul, one_mul, h, one_pow]
0
import Mathlib.Order.RelClasses #align_import data.sigma.lex from "leanprover-community/mathlib"@"41cf0cc2f528dd40a8f2db167ea4fb37b8fde7f3" namespace Sigma variable {ι : Type*} {α : ι → Type*} {r r₁ r₂ : ι → ι → Prop} {s s₁ s₂ : ∀ i, α i → α i → Prop} {a b : Σ i, α i} inductive Lex (r : ι → ι → Prop) (s : ∀ i, α i → α i → Prop) : ∀ _ _ : Σ i, α i, Prop | left {i j : ι} (a : α i) (b : α j) : r i j → Lex r s ⟨i, a⟩ ⟨j, b⟩ | right {i : ι} (a b : α i) : s i a b → Lex r s ⟨i, a⟩ ⟨i, b⟩ #align sigma.lex Sigma.Lex
Mathlib/Data/Sigma/Lex.lean
45
55
theorem lex_iff : Lex r s a b ↔ r a.1 b.1 ∨ ∃ h : a.1 = b.1, s b.1 (h.rec a.2) b.2 := by
constructor · rintro (⟨a, b, hij⟩ | ⟨a, b, hab⟩) · exact Or.inl hij · exact Or.inr ⟨rfl, hab⟩ · obtain ⟨i, a⟩ := a obtain ⟨j, b⟩ := b dsimp only rintro (h | ⟨rfl, h⟩) · exact Lex.left _ _ h · exact Lex.right _ _ h
0
import Mathlib.Algebra.Algebra.Unitization import Mathlib.Analysis.NormedSpace.OperatorNorm.Mul suppress_compilation variable (𝕜 A : Type*) [NontriviallyNormedField 𝕜] [NonUnitalNormedRing A] variable [NormedSpace 𝕜 A] [IsScalarTower 𝕜 A A] [SMulCommClass 𝕜 A A] open ContinuousLinearMap namespace Unitization def splitMul : Unitization 𝕜 A →ₐ[𝕜] 𝕜 × (A →L[𝕜] A) := (lift 0).prod (lift <| NonUnitalAlgHom.Lmul 𝕜 A) variable {𝕜 A} @[simp] theorem splitMul_apply (x : Unitization 𝕜 A) : splitMul 𝕜 A x = (x.fst, algebraMap 𝕜 (A →L[𝕜] A) x.fst + mul 𝕜 A x.snd) := show (x.fst + 0, _) = (x.fst, _) by rw [add_zero]; rfl
Mathlib/Analysis/NormedSpace/Unitization.lean
89
101
theorem splitMul_injective_of_clm_mul_injective (h : Function.Injective (mul 𝕜 A)) : Function.Injective (splitMul 𝕜 A) := by
rw [injective_iff_map_eq_zero] intro x hx induction x rw [map_add] at hx simp only [splitMul_apply, fst_inl, snd_inl, map_zero, add_zero, fst_inr, snd_inr, zero_add, Prod.mk_add_mk, Prod.mk_eq_zero] at hx obtain ⟨rfl, hx⟩ := hx simp only [map_zero, zero_add, inl_zero] at hx ⊢ rw [← map_zero (mul 𝕜 A)] at hx rw [h hx, inr_zero]
0
import Mathlib.Data.Matrix.Invertible import Mathlib.LinearAlgebra.Matrix.NonsingularInverse import Mathlib.LinearAlgebra.Matrix.PosDef #align_import linear_algebra.matrix.schur_complement from "leanprover-community/mathlib"@"a176cb1219e300e85793d44583dede42377b51af" variable {l m n α : Type*} namespace Matrix open scoped Matrix section CommRing variable [Fintype l] [Fintype m] [Fintype n] variable [DecidableEq l] [DecidableEq m] [DecidableEq n] variable [CommRing α] theorem fromBlocks_eq_of_invertible₁₁ (A : Matrix m m α) (B : Matrix m n α) (C : Matrix l m α) (D : Matrix l n α) [Invertible A] : fromBlocks A B C D = fromBlocks 1 0 (C * ⅟ A) 1 * fromBlocks A 0 0 (D - C * ⅟ A * B) * fromBlocks 1 (⅟ A * B) 0 1 := by simp only [fromBlocks_multiply, Matrix.mul_zero, Matrix.zero_mul, add_zero, zero_add, Matrix.one_mul, Matrix.mul_one, invOf_mul_self, Matrix.mul_invOf_self_assoc, Matrix.mul_invOf_mul_self_cancel, Matrix.mul_assoc, add_sub_cancel] #align matrix.from_blocks_eq_of_invertible₁₁ Matrix.fromBlocks_eq_of_invertible₁₁ theorem fromBlocks_eq_of_invertible₂₂ (A : Matrix l m α) (B : Matrix l n α) (C : Matrix n m α) (D : Matrix n n α) [Invertible D] : fromBlocks A B C D = fromBlocks 1 (B * ⅟ D) 0 1 * fromBlocks (A - B * ⅟ D * C) 0 0 D * fromBlocks 1 0 (⅟ D * C) 1 := (Matrix.reindex (Equiv.sumComm _ _) (Equiv.sumComm _ _)).injective <| by simpa [reindex_apply, Equiv.sumComm_symm, ← submatrix_mul_equiv _ _ _ (Equiv.sumComm n m), ← submatrix_mul_equiv _ _ _ (Equiv.sumComm n l), Equiv.sumComm_apply, fromBlocks_submatrix_sum_swap_sum_swap] using fromBlocks_eq_of_invertible₁₁ D C B A #align matrix.from_blocks_eq_of_invertible₂₂ Matrix.fromBlocks_eq_of_invertible₂₂ section Det theorem det_fromBlocks₁₁ (A : Matrix m m α) (B : Matrix m n α) (C : Matrix n m α) (D : Matrix n n α) [Invertible A] : (Matrix.fromBlocks A B C D).det = det A * det (D - C * ⅟ A * B) := by rw [fromBlocks_eq_of_invertible₁₁ (A := A), det_mul, det_mul, det_fromBlocks_zero₂₁, det_fromBlocks_zero₂₁, det_fromBlocks_zero₁₂, det_one, det_one, one_mul, one_mul, mul_one] #align matrix.det_from_blocks₁₁ Matrix.det_fromBlocks₁₁ @[simp] theorem det_fromBlocks_one₁₁ (B : Matrix m n α) (C : Matrix n m α) (D : Matrix n n α) : (Matrix.fromBlocks 1 B C D).det = det (D - C * B) := by haveI : Invertible (1 : Matrix m m α) := invertibleOne rw [det_fromBlocks₁₁, invOf_one, Matrix.mul_one, det_one, one_mul] #align matrix.det_from_blocks_one₁₁ Matrix.det_fromBlocks_one₁₁ theorem det_fromBlocks₂₂ (A : Matrix m m α) (B : Matrix m n α) (C : Matrix n m α) (D : Matrix n n α) [Invertible D] : (Matrix.fromBlocks A B C D).det = det D * det (A - B * ⅟ D * C) := by have : fromBlocks A B C D = (fromBlocks D C B A).submatrix (Equiv.sumComm _ _) (Equiv.sumComm _ _) := by ext (i j) cases i <;> cases j <;> rfl rw [this, det_submatrix_equiv_self, det_fromBlocks₁₁] #align matrix.det_from_blocks₂₂ Matrix.det_fromBlocks₂₂ @[simp] theorem det_fromBlocks_one₂₂ (A : Matrix m m α) (B : Matrix m n α) (C : Matrix n m α) : (Matrix.fromBlocks A B C 1).det = det (A - B * C) := by haveI : Invertible (1 : Matrix n n α) := invertibleOne rw [det_fromBlocks₂₂, invOf_one, Matrix.mul_one, det_one, one_mul] #align matrix.det_from_blocks_one₂₂ Matrix.det_fromBlocks_one₂₂ theorem det_one_add_mul_comm (A : Matrix m n α) (B : Matrix n m α) : det (1 + A * B) = det (1 + B * A) := calc det (1 + A * B) = det (fromBlocks 1 (-A) B 1) := by rw [det_fromBlocks_one₂₂, Matrix.neg_mul, sub_neg_eq_add] _ = det (1 + B * A) := by rw [det_fromBlocks_one₁₁, Matrix.mul_neg, sub_neg_eq_add] #align matrix.det_one_add_mul_comm Matrix.det_one_add_mul_comm theorem det_mul_add_one_comm (A : Matrix m n α) (B : Matrix n m α) : det (A * B + 1) = det (B * A + 1) := by rw [add_comm, det_one_add_mul_comm, add_comm] #align matrix.det_mul_add_one_comm Matrix.det_mul_add_one_comm theorem det_one_sub_mul_comm (A : Matrix m n α) (B : Matrix n m α) : det (1 - A * B) = det (1 - B * A) := by rw [sub_eq_add_neg, ← Matrix.neg_mul, det_one_add_mul_comm, Matrix.mul_neg, ← sub_eq_add_neg] #align matrix.det_one_sub_mul_comm Matrix.det_one_sub_mul_comm
Mathlib/LinearAlgebra/Matrix/SchurComplement.lean
444
446
theorem det_one_add_col_mul_row (u v : m → α) : det (1 + col u * row v) = 1 + v ⬝ᵥ u := by
rw [det_one_add_mul_comm, det_unique, Pi.add_apply, Pi.add_apply, Matrix.one_apply_eq, Matrix.row_mul_col_apply]
0
import Mathlib.Analysis.NormedSpace.Star.Basic import Mathlib.Analysis.NormedSpace.Unitization #align_import analysis.normed_space.star.mul from "leanprover-community/mathlib"@"b2ff9a3d7a15fd5b0f060b135421d6a89a999c2f" open ContinuousLinearMap local postfix:max "⋆" => star variable (𝕜 : Type*) {E : Type*} variable [DenselyNormedField 𝕜] [NonUnitalNormedRing E] [StarRing E] [CstarRing E] variable [NormedSpace 𝕜 E] [IsScalarTower 𝕜 E E] [SMulCommClass 𝕜 E E] variable (E) instance CstarRing.instRegularNormedAlgebra : RegularNormedAlgebra 𝕜 E where isometry_mul' := AddMonoidHomClass.isometry_of_norm (mul 𝕜 E) fun a => NNReal.eq_iff.mpr <| show ‖mul 𝕜 E a‖₊ = ‖a‖₊ by rw [← sSup_closed_unit_ball_eq_nnnorm] refine csSup_eq_of_forall_le_of_forall_lt_exists_gt ?_ ?_ fun r hr => ?_ · exact (Metric.nonempty_closedBall.mpr zero_le_one).image _ · rintro - ⟨x, hx, rfl⟩ exact ((mul 𝕜 E a).unit_le_opNorm x <| mem_closedBall_zero_iff.mp hx).trans (opNorm_mul_apply_le 𝕜 E a) · have ha : 0 < ‖a‖₊ := zero_le'.trans_lt hr rw [← inv_inv ‖a‖₊, NNReal.lt_inv_iff_mul_lt (inv_ne_zero ha.ne')] at hr obtain ⟨k, hk₁, hk₂⟩ := NormedField.exists_lt_nnnorm_lt 𝕜 (mul_lt_mul_of_pos_right hr <| inv_pos.2 ha) refine ⟨_, ⟨k • star a, ?_, rfl⟩, ?_⟩ · simpa only [mem_closedBall_zero_iff, norm_smul, one_mul, norm_star] using (NNReal.le_inv_iff_mul_le ha.ne').1 (one_mul ‖a‖₊⁻¹ ▸ hk₂.le : ‖k‖₊ ≤ ‖a‖₊⁻¹) · simp only [map_smul, nnnorm_smul, mul_apply', mul_smul_comm, CstarRing.nnnorm_self_mul_star] rwa [← NNReal.div_lt_iff (mul_pos ha ha).ne', div_eq_mul_inv, mul_inv, ← mul_assoc] section CStarProperty variable [StarRing 𝕜] [CstarRing 𝕜] [StarModule 𝕜 E] variable {E}
Mathlib/Analysis/NormedSpace/Star/Unitization.lean
87
124
theorem Unitization.norm_splitMul_snd_sq (x : Unitization 𝕜 E) : ‖(Unitization.splitMul 𝕜 E x).snd‖ ^ 2 ≤ ‖(Unitization.splitMul 𝕜 E (star x * x)).snd‖ := by
/- The key idea is that we can use `sSup_closed_unit_ball_eq_norm` to make this about applying this linear map to elements of norm at most one. There is a bit of `sqrt` and `sq` shuffling that needs to occur, which is primarily just an annoyance. -/ refine (Real.le_sqrt (norm_nonneg _) (norm_nonneg _)).mp ?_ simp only [Unitization.splitMul_apply] rw [← sSup_closed_unit_ball_eq_norm] refine csSup_le ((Metric.nonempty_closedBall.2 zero_le_one).image _) ?_ rintro - ⟨b, hb, rfl⟩ simp only -- rewrite to a more convenient form; this is where we use the C⋆-property rw [← Real.sqrt_sq (norm_nonneg _), Real.sqrt_le_sqrt_iff (norm_nonneg _), sq, ← CstarRing.norm_star_mul_self, ContinuousLinearMap.add_apply, star_add, mul_apply', Algebra.algebraMap_eq_smul_one, ContinuousLinearMap.smul_apply, ContinuousLinearMap.one_apply, star_mul, star_smul, add_mul, smul_mul_assoc, ← mul_smul_comm, mul_assoc, ← mul_add, ← sSup_closed_unit_ball_eq_norm] refine (norm_mul_le _ _).trans ?_ calc _ ≤ ‖star x.fst • (x.fst • b + x.snd * b) + star x.snd * (x.fst • b + x.snd * b)‖ := by nth_rewrite 2 [← one_mul ‖_ + _‖] gcongr exact (norm_star b).symm ▸ mem_closedBall_zero_iff.1 hb _ ≤ sSup (_ '' Metric.closedBall 0 1) := le_csSup ?_ ⟨b, hb, ?_⟩ -- now we just check the side conditions for `le_csSup`. There is nothing of interest here. · refine ⟨‖(star x * x).fst‖ + ‖(star x * x).snd‖, ?_⟩ rintro _ ⟨y, hy, rfl⟩ refine (norm_add_le _ _).trans ?_ gcongr · rw [Algebra.algebraMap_eq_smul_one] refine (norm_smul _ _).trans_le ?_ simpa only [mul_one] using mul_le_mul_of_nonneg_left (mem_closedBall_zero_iff.1 hy) (norm_nonneg (star x * x).fst) · exact (unit_le_opNorm _ y <| mem_closedBall_zero_iff.1 hy).trans (opNorm_mul_apply_le _ _ _) · simp only [ContinuousLinearMap.add_apply, mul_apply', Unitization.snd_star, Unitization.snd_mul, Unitization.fst_mul, Unitization.fst_star, Algebra.algebraMap_eq_smul_one, smul_apply, one_apply, smul_add, mul_add, add_mul] simp only [smul_smul, smul_mul_assoc, ← add_assoc, ← mul_assoc, mul_smul_comm]
0
import Mathlib.Algebra.CharP.Basic import Mathlib.Algebra.CharP.Algebra import Mathlib.Data.Nat.Prime #align_import algebra.char_p.exp_char from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" universe u variable (R : Type u) section Semiring variable [Semiring R] class inductive ExpChar (R : Type u) [Semiring R] : ℕ → Prop | zero [CharZero R] : ExpChar R 1 | prime {q : ℕ} (hprime : q.Prime) [hchar : CharP R q] : ExpChar R q #align exp_char ExpChar #align exp_char.prime ExpChar.prime instance expChar_prime (p) [CharP R p] [Fact p.Prime] : ExpChar R p := ExpChar.prime Fact.out instance expChar_zero [CharZero R] : ExpChar R 1 := ExpChar.zero instance (S : Type*) [Semiring S] (p) [ExpChar R p] [ExpChar S p] : ExpChar (R × S) p := by obtain hp | ⟨hp⟩ := ‹ExpChar R p› · have := Prod.charZero_of_left R S; exact .zero obtain _ | _ := ‹ExpChar S p› · exact (Nat.not_prime_one hp).elim · have := Prod.charP R S p; exact .prime hp variable {R} in
Mathlib/Algebra/CharP/ExpChar.lean
61
67
theorem ExpChar.eq {p q : ℕ} (hp : ExpChar R p) (hq : ExpChar R q) : p = q := by
cases' hp with hp _ hp' hp · cases' hq with hq _ hq' hq exacts [rfl, False.elim (Nat.not_prime_zero (CharP.eq R hq (CharP.ofCharZero R) ▸ hq'))] · cases' hq with hq _ hq' hq exacts [False.elim (Nat.not_prime_zero (CharP.eq R hp (CharP.ofCharZero R) ▸ hp')), CharP.eq R hp hq]
0
import Mathlib.Algebra.CharP.ExpChar import Mathlib.RingTheory.Nilpotent.Defs #align_import algebra.char_p.basic from "leanprover-community/mathlib"@"47a1a73351de8dd6c8d3d32b569c8e434b03ca47" open Finset section variable (R : Type*) [CommRing R] [IsReduced R] (p n : ℕ) [ExpChar R p] theorem iterateFrobenius_inj : Function.Injective (iterateFrobenius R p n) := fun x y H ↦ by rw [← sub_eq_zero] at H ⊢ simp_rw [iterateFrobenius_def, ← sub_pow_expChar_pow] at H exact IsReduced.eq_zero _ ⟨_, H⟩ theorem frobenius_inj : Function.Injective (frobenius R p) := iterateFrobenius_one (R := R) p ▸ iterateFrobenius_inj R p 1 #align frobenius_inj frobenius_inj end
Mathlib/Algebra/CharP/Reduced.lean
35
40
theorem isSquare_of_charTwo' {R : Type*} [Finite R] [CommRing R] [IsReduced R] [CharP R 2] (a : R) : IsSquare a := by
cases nonempty_fintype R exact Exists.imp (fun b h => pow_two b ▸ Eq.symm h) (((Fintype.bijective_iff_injective_and_card _).mpr ⟨frobenius_inj R 2, rfl⟩).surjective a)
0
import Mathlib.Analysis.Convex.Combination import Mathlib.Analysis.Convex.Join #align_import analysis.convex.stone_separation from "leanprover-community/mathlib"@"6ca1a09bc9aa75824bf97388c9e3b441fc4ccf3f" open Set variable {𝕜 E ι : Type*} [LinearOrderedField 𝕜] [AddCommGroup E] [Module 𝕜 E] {s t : Set E} theorem not_disjoint_segment_convexHull_triple {p q u v x y z : E} (hz : z ∈ segment 𝕜 x y) (hu : u ∈ segment 𝕜 x p) (hv : v ∈ segment 𝕜 y q) : ¬Disjoint (segment 𝕜 u v) (convexHull 𝕜 {p, q, z}) := by rw [not_disjoint_iff] obtain ⟨az, bz, haz, hbz, habz, rfl⟩ := hz obtain rfl | haz' := haz.eq_or_lt · rw [zero_add] at habz rw [zero_smul, zero_add, habz, one_smul] refine ⟨v, by apply right_mem_segment, segment_subset_convexHull ?_ ?_ hv⟩ <;> simp obtain ⟨av, bv, hav, hbv, habv, rfl⟩ := hv obtain rfl | hav' := hav.eq_or_lt · rw [zero_add] at habv rw [zero_smul, zero_add, habv, one_smul] exact ⟨q, right_mem_segment _ _ _, subset_convexHull _ _ <| by simp⟩ obtain ⟨au, bu, hau, hbu, habu, rfl⟩ := hu have hab : 0 < az * av + bz * au := by positivity refine ⟨(az * av / (az * av + bz * au)) • (au • x + bu • p) + (bz * au / (az * av + bz * au)) • (av • y + bv • q), ⟨_, _, ?_, ?_, ?_, rfl⟩, ?_⟩ · positivity · positivity · rw [← add_div, div_self]; positivity rw [smul_add, smul_add, add_add_add_comm, add_comm, ← mul_smul, ← mul_smul] classical let w : Fin 3 → 𝕜 := ![az * av * bu, bz * au * bv, au * av] let z : Fin 3 → E := ![p, q, az • x + bz • y] have hw₀ : ∀ i, 0 ≤ w i := by rintro i fin_cases i · exact mul_nonneg (mul_nonneg haz hav) hbu · exact mul_nonneg (mul_nonneg hbz hau) hbv · exact mul_nonneg hau hav have hw : ∑ i, w i = az * av + bz * au := by trans az * av * bu + (bz * au * bv + au * av) · simp [w, Fin.sum_univ_succ, Fin.sum_univ_zero] rw [← one_mul (au * av), ← habz, add_mul, ← add_assoc, add_add_add_comm, mul_assoc, ← mul_add, mul_assoc, ← mul_add, mul_comm av, ← add_mul, ← mul_add, add_comm bu, add_comm bv, habu, habv, one_mul, mul_one] have hz : ∀ i, z i ∈ ({p, q, az • x + bz • y} : Set E) := fun i => by fin_cases i <;> simp [z] convert Finset.centerMass_mem_convexHull (Finset.univ : Finset (Fin 3)) (fun i _ => hw₀ i) (by rwa [hw]) fun i _ => hz i rw [Finset.centerMass] simp_rw [div_eq_inv_mul, hw, mul_assoc, mul_smul (az * av + bz * au)⁻¹, ← smul_add, add_assoc, ← mul_assoc] congr 3 rw [← mul_smul, ← mul_rotate, mul_right_comm, mul_smul, ← mul_smul _ av, mul_rotate, mul_smul _ bz, ← smul_add] simp only [w, z, smul_add, List.foldr, Matrix.cons_val_succ', Fin.mk_one, Matrix.cons_val_one, Matrix.head_cons, add_zero] #align not_disjoint_segment_convex_hull_triple not_disjoint_segment_convexHull_triple
Mathlib/Analysis/Convex/StoneSeparation.lean
81
109
theorem exists_convex_convex_compl_subset (hs : Convex 𝕜 s) (ht : Convex 𝕜 t) (hst : Disjoint s t) : ∃ C : Set E, Convex 𝕜 C ∧ Convex 𝕜 Cᶜ ∧ s ⊆ C ∧ t ⊆ Cᶜ := by
let S : Set (Set E) := { C | Convex 𝕜 C ∧ Disjoint C t } obtain ⟨C, hC, hsC, hCmax⟩ := zorn_subset_nonempty S (fun c hcS hc ⟨_, _⟩ => ⟨⋃₀ c, ⟨hc.directedOn.convex_sUnion fun s hs => (hcS hs).1, disjoint_sUnion_left.2 fun c hc => (hcS hc).2⟩, fun s => subset_sUnion_of_mem⟩) s ⟨hs, hst⟩ refine ⟨C, hC.1, convex_iff_segment_subset.2 fun x hx y hy z hz hzC => ?_, hsC, hC.2.subset_compl_left⟩ suffices h : ∀ c ∈ Cᶜ, ∃ a ∈ C, (segment 𝕜 c a ∩ t).Nonempty by obtain ⟨p, hp, u, hu, hut⟩ := h x hx obtain ⟨q, hq, v, hv, hvt⟩ := h y hy refine not_disjoint_segment_convexHull_triple hz hu hv (hC.2.symm.mono (ht.segment_subset hut hvt) <| convexHull_min ?_ hC.1) simp [insert_subset_iff, hp, hq, singleton_subset_iff.2 hzC] rintro c hc by_contra! h suffices h : Disjoint (convexHull 𝕜 (insert c C)) t by rw [← hCmax _ ⟨convex_convexHull _ _, h⟩ ((subset_insert _ _).trans <| subset_convexHull _ _)] at hc exact hc (subset_convexHull _ _ <| mem_insert _ _) rw [convexHull_insert ⟨z, hzC⟩, convexJoin_singleton_left] refine disjoint_iUnion₂_left.2 fun a ha => disjoint_iff_inter_eq_empty.2 (h a ?_) rwa [← hC.1.convexHull_eq]
0
import Mathlib.Topology.Bases import Mathlib.Topology.DenseEmbedding #align_import topology.stone_cech from "leanprover-community/mathlib"@"0a0ec35061ed9960bf0e7ffb0335f44447b58977" noncomputable section open Filter Set open Topology universe u v section Ultrafilter def ultrafilterBasis (α : Type u) : Set (Set (Ultrafilter α)) := range fun s : Set α => { u | s ∈ u } #align ultrafilter_basis ultrafilterBasis variable {α : Type u} instance Ultrafilter.topologicalSpace : TopologicalSpace (Ultrafilter α) := TopologicalSpace.generateFrom (ultrafilterBasis α) #align ultrafilter.topological_space Ultrafilter.topologicalSpace theorem ultrafilterBasis_is_basis : TopologicalSpace.IsTopologicalBasis (ultrafilterBasis α) := ⟨by rintro _ ⟨a, rfl⟩ _ ⟨b, rfl⟩ u ⟨ua, ub⟩ refine ⟨_, ⟨a ∩ b, rfl⟩, inter_mem ua ub, fun v hv => ⟨?_, ?_⟩⟩ <;> apply mem_of_superset hv <;> simp [inter_subset_right], eq_univ_of_univ_subset <| subset_sUnion_of_mem <| ⟨univ, eq_univ_of_forall fun u => univ_mem⟩, rfl⟩ #align ultrafilter_basis_is_basis ultrafilterBasis_is_basis theorem ultrafilter_isOpen_basic (s : Set α) : IsOpen { u : Ultrafilter α | s ∈ u } := ultrafilterBasis_is_basis.isOpen ⟨s, rfl⟩ #align ultrafilter_is_open_basic ultrafilter_isOpen_basic theorem ultrafilter_isClosed_basic (s : Set α) : IsClosed { u : Ultrafilter α | s ∈ u } := by rw [← isOpen_compl_iff] convert ultrafilter_isOpen_basic sᶜ using 1 ext u exact Ultrafilter.compl_mem_iff_not_mem.symm #align ultrafilter_is_closed_basic ultrafilter_isClosed_basic theorem ultrafilter_converges_iff {u : Ultrafilter (Ultrafilter α)} {x : Ultrafilter α} : ↑u ≤ 𝓝 x ↔ x = joinM u := by rw [eq_comm, ← Ultrafilter.coe_le_coe] change ↑u ≤ 𝓝 x ↔ ∀ s ∈ x, { v : Ultrafilter α | s ∈ v } ∈ u simp only [TopologicalSpace.nhds_generateFrom, le_iInf_iff, ultrafilterBasis, le_principal_iff, mem_setOf_eq] constructor · intro h a ha exact h _ ⟨ha, a, rfl⟩ · rintro h a ⟨xi, a, rfl⟩ exact h _ xi #align ultrafilter_converges_iff ultrafilter_converges_iff instance ultrafilter_compact : CompactSpace (Ultrafilter α) := ⟨isCompact_iff_ultrafilter_le_nhds.mpr fun f _ => ⟨joinM f, trivial, ultrafilter_converges_iff.mpr rfl⟩⟩ #align ultrafilter_compact ultrafilter_compact instance Ultrafilter.t2Space : T2Space (Ultrafilter α) := t2_iff_ultrafilter.mpr @fun x y f fx fy => have hx : x = joinM f := ultrafilter_converges_iff.mp fx have hy : y = joinM f := ultrafilter_converges_iff.mp fy hx.trans hy.symm #align ultrafilter.t2_space Ultrafilter.t2Space instance : TotallyDisconnectedSpace (Ultrafilter α) := by rw [totallyDisconnectedSpace_iff_connectedComponent_singleton] intro A simp only [Set.eq_singleton_iff_unique_mem, mem_connectedComponent, true_and_iff] intro B hB rw [← Ultrafilter.coe_le_coe] intro s hs rw [connectedComponent_eq_iInter_isClopen, Set.mem_iInter] at hB let Z := { F : Ultrafilter α | s ∈ F } have hZ : IsClopen Z := ⟨ultrafilter_isClosed_basic s, ultrafilter_isOpen_basic s⟩ exact hB ⟨Z, hZ, hs⟩ @[simp] theorem Ultrafilter.tendsto_pure_self (b : Ultrafilter α) : Tendsto pure b (𝓝 b) := by rw [Tendsto, ← coe_map, ultrafilter_converges_iff] ext s change s ∈ b ↔ {t | s ∈ t} ∈ map pure b simp_rw [mem_map, preimage_setOf_eq, mem_pure, setOf_mem_eq] theorem ultrafilter_comap_pure_nhds (b : Ultrafilter α) : comap pure (𝓝 b) ≤ b := by rw [TopologicalSpace.nhds_generateFrom] simp only [comap_iInf, comap_principal] intro s hs rw [← le_principal_iff] refine iInf_le_of_le { u | s ∈ u } ?_ refine iInf_le_of_le ⟨hs, ⟨s, rfl⟩⟩ ?_ exact principal_mono.2 fun a => id #align ultrafilter_comap_pure_nhds ultrafilter_comap_pure_nhds section Embedding theorem ultrafilter_pure_injective : Function.Injective (pure : α → Ultrafilter α) := by intro x y h have : {x} ∈ (pure x : Ultrafilter α) := singleton_mem_pure rw [h] at this exact (mem_singleton_iff.mp (mem_pure.mp this)).symm #align ultrafilter_pure_injective ultrafilter_pure_injective open TopologicalSpace theorem denseRange_pure : DenseRange (pure : α → Ultrafilter α) := fun x => mem_closure_iff_ultrafilter.mpr ⟨x.map pure, range_mem_map, ultrafilter_converges_iff.mpr (bind_pure x).symm⟩ #align dense_range_pure denseRange_pure
Mathlib/Topology/StoneCech.lean
138
143
theorem induced_topology_pure : TopologicalSpace.induced (pure : α → Ultrafilter α) Ultrafilter.topologicalSpace = ⊥ := by
apply eq_bot_of_singletons_open intro x use { u : Ultrafilter α | {x} ∈ u }, ultrafilter_isOpen_basic _ simp
0
import Mathlib.Probability.ProbabilityMassFunction.Basic #align_import probability.probability_mass_function.monad from "leanprover-community/mathlib"@"4ac69b290818724c159de091daa3acd31da0ee6d" noncomputable section variable {α β γ : Type*} open scoped Classical open NNReal ENNReal open MeasureTheory namespace PMF section Pure def pure (a : α) : PMF α := ⟨fun a' => if a' = a then 1 else 0, hasSum_ite_eq _ _⟩ #align pmf.pure PMF.pure variable (a a' : α) @[simp] theorem pure_apply : pure a a' = if a' = a then 1 else 0 := rfl #align pmf.pure_apply PMF.pure_apply @[simp] theorem support_pure : (pure a).support = {a} := Set.ext fun a' => by simp [mem_support_iff] #align pmf.support_pure PMF.support_pure theorem mem_support_pure_iff : a' ∈ (pure a).support ↔ a' = a := by simp #align pmf.mem_support_pure_iff PMF.mem_support_pure_iff -- @[simp] -- Porting note (#10618): simp can prove this theorem pure_apply_self : pure a a = 1 := if_pos rfl #align pmf.pure_apply_self PMF.pure_apply_self theorem pure_apply_of_ne (h : a' ≠ a) : pure a a' = 0 := if_neg h #align pmf.pure_apply_of_ne PMF.pure_apply_of_ne instance [Inhabited α] : Inhabited (PMF α) := ⟨pure default⟩ section Measure variable (s : Set α) @[simp]
Mathlib/Probability/ProbabilityMassFunction/Monad.lean
74
80
theorem toOuterMeasure_pure_apply : (pure a).toOuterMeasure s = if a ∈ s then 1 else 0 := by
refine (toOuterMeasure_apply (pure a) s).trans ?_ split_ifs with ha · refine (tsum_congr fun b => ?_).trans (tsum_ite_eq a 1) exact ite_eq_left_iff.2 fun hb => symm (ite_eq_right_iff.2 fun h => (hb <| h.symm ▸ ha).elim) · refine (tsum_congr fun b => ?_).trans tsum_zero exact ite_eq_right_iff.2 fun hb => ite_eq_right_iff.2 fun h => (ha <| h ▸ hb).elim
0
import Mathlib.Algebra.Polynomial.UnitTrinomial import Mathlib.RingTheory.Polynomial.GaussLemma import Mathlib.Tactic.LinearCombination #align_import ring_theory.polynomial.selmer from "leanprover-community/mathlib"@"3e00d81bdcbf77c8188bbd18f5524ddc3ed8cac6" namespace Polynomial open scoped Polynomial variable {n : ℕ} theorem X_pow_sub_X_sub_one_irreducible_aux (z : ℂ) : ¬(z ^ n = z + 1 ∧ z ^ n + z ^ 2 = 0) := by rintro ⟨h1, h2⟩ replace h3 : z ^ 3 = 1 := by linear_combination (1 - z - z ^ 2 - z ^ n) * h1 + (z ^ n - 2) * h2 have key : z ^ n = 1 ∨ z ^ n = z ∨ z ^ n = z ^ 2 := by rw [← Nat.mod_add_div n 3, pow_add, pow_mul, h3, one_pow, mul_one] have : n % 3 < 3 := Nat.mod_lt n zero_lt_three interval_cases n % 3 <;> simp only [this, pow_zero, pow_one, eq_self_iff_true, or_true_iff, true_or_iff] have z_ne_zero : z ≠ 0 := fun h => zero_ne_one ((zero_pow three_ne_zero).symm.trans (show (0 : ℂ) ^ 3 = 1 from h ▸ h3)) rcases key with (key | key | key) · exact z_ne_zero (by rwa [key, self_eq_add_left] at h1) · exact one_ne_zero (by rwa [key, self_eq_add_right] at h1) · exact z_ne_zero (pow_eq_zero (by rwa [key, add_self_eq_zero] at h2)) set_option linter.uppercaseLean3 false in #align polynomial.X_pow_sub_X_sub_one_irreducible_aux Polynomial.X_pow_sub_X_sub_one_irreducible_aux theorem X_pow_sub_X_sub_one_irreducible (hn1 : n ≠ 1) : Irreducible (X ^ n - X - 1 : ℤ[X]) := by by_cases hn0 : n = 0 · rw [hn0, pow_zero, sub_sub, add_comm, ← sub_sub, sub_self, zero_sub] exact Associated.irreducible ⟨-1, mul_neg_one X⟩ irreducible_X have hn : 1 < n := Nat.one_lt_iff_ne_zero_and_ne_one.mpr ⟨hn0, hn1⟩ have hp : (X ^ n - X - 1 : ℤ[X]) = trinomial 0 1 n (-1) (-1) 1 := by simp only [trinomial, C_neg, C_1]; ring rw [hp] apply IsUnitTrinomial.irreducible_of_coprime' ⟨0, 1, n, zero_lt_one, hn, -1, -1, 1, rfl⟩ rintro z ⟨h1, h2⟩ apply X_pow_sub_X_sub_one_irreducible_aux (n := n) z rw [trinomial_mirror zero_lt_one hn (-1 : ℤˣ).ne_zero (1 : ℤˣ).ne_zero] at h2 simp_rw [trinomial, aeval_add, aeval_mul, aeval_X_pow, aeval_C, Units.val_neg, Units.val_one, map_neg, map_one] at h1 h2 replace h1 : z ^ n = z + 1 := by linear_combination h1 replace h2 := mul_eq_zero_of_left h2 z rw [add_mul, add_mul, add_zero, mul_assoc (-1 : ℂ), ← pow_succ, Nat.sub_add_cancel hn.le] at h2 rw [h1] at h2 ⊢ exact ⟨rfl, by linear_combination -h2⟩ set_option linter.uppercaseLean3 false in #align polynomial.X_pow_sub_X_sub_one_irreducible Polynomial.X_pow_sub_X_sub_one_irreducible
Mathlib/RingTheory/Polynomial/Selmer.lean
71
82
theorem X_pow_sub_X_sub_one_irreducible_rat (hn1 : n ≠ 1) : Irreducible (X ^ n - X - 1 : ℚ[X]) := by
by_cases hn0 : n = 0 · rw [hn0, pow_zero, sub_sub, add_comm, ← sub_sub, sub_self, zero_sub] exact Associated.irreducible ⟨-1, mul_neg_one X⟩ irreducible_X have hp : (X ^ n - X - 1 : ℤ[X]) = trinomial 0 1 n (-1) (-1) 1 := by simp only [trinomial, C_neg, C_1]; ring have hn : 1 < n := Nat.one_lt_iff_ne_zero_and_ne_one.mpr ⟨hn0, hn1⟩ have h := (IsPrimitive.Int.irreducible_iff_irreducible_map_cast ?_).mp (X_pow_sub_X_sub_one_irreducible hn1) · rwa [Polynomial.map_sub, Polynomial.map_sub, Polynomial.map_pow, Polynomial.map_one, Polynomial.map_X] at h · exact hp.symm ▸ (trinomial_monic zero_lt_one hn).isPrimitive
0
import Mathlib.CategoryTheory.EqToHom import Mathlib.CategoryTheory.Quotient import Mathlib.Combinatorics.Quiver.Path #align_import category_theory.path_category from "leanprover-community/mathlib"@"c6dd521ebdce53bb372c527569dd7c25de53a08b" universe v₁ v₂ u₁ u₂ namespace CategoryTheory section def Paths (V : Type u₁) : Type u₁ := V #align category_theory.paths CategoryTheory.Paths instance (V : Type u₁) [Inhabited V] : Inhabited (Paths V) := ⟨(default : V)⟩ variable (V : Type u₁) [Quiver.{v₁ + 1} V] namespace Paths instance categoryPaths : Category.{max u₁ v₁} (Paths V) where Hom := fun X Y : V => Quiver.Path X Y id X := Quiver.Path.nil comp f g := Quiver.Path.comp f g #align category_theory.paths.category_paths CategoryTheory.Paths.categoryPaths variable {V} @[simps] def of : V ⥤q Paths V where obj X := X map f := f.toPath #align category_theory.paths.of CategoryTheory.Paths.of attribute [local ext] Functor.ext def lift {C} [Category C] (φ : V ⥤q C) : Paths V ⥤ C where obj := φ.obj map {X} {Y} f := @Quiver.Path.rec V _ X (fun Y _ => φ.obj X ⟶ φ.obj Y) (𝟙 <| φ.obj X) (fun _ f ihp => ihp ≫ φ.map f) Y f map_id X := rfl map_comp f g := by induction' g with _ _ g' p ih _ _ _ · rw [Category.comp_id] rfl · have : f ≫ Quiver.Path.cons g' p = (f ≫ g').cons p := by apply Quiver.Path.comp_cons rw [this] simp only at ih ⊢ rw [ih, Category.assoc] #align category_theory.paths.lift CategoryTheory.Paths.lift @[simp] theorem lift_nil {C} [Category C] (φ : V ⥤q C) (X : V) : (lift φ).map Quiver.Path.nil = 𝟙 (φ.obj X) := rfl #align category_theory.paths.lift_nil CategoryTheory.Paths.lift_nil @[simp] theorem lift_cons {C} [Category C] (φ : V ⥤q C) {X Y Z : V} (p : Quiver.Path X Y) (f : Y ⟶ Z) : (lift φ).map (p.cons f) = (lift φ).map p ≫ φ.map f := rfl #align category_theory.paths.lift_cons CategoryTheory.Paths.lift_cons @[simp] theorem lift_toPath {C} [Category C] (φ : V ⥤q C) {X Y : V} (f : X ⟶ Y) : (lift φ).map f.toPath = φ.map f := by dsimp [Quiver.Hom.toPath, lift] simp #align category_theory.paths.lift_to_path CategoryTheory.Paths.lift_toPath theorem lift_spec {C} [Category C] (φ : V ⥤q C) : of ⋙q (lift φ).toPrefunctor = φ := by fapply Prefunctor.ext · rintro X rfl · rintro X Y f rcases φ with ⟨φo, φm⟩ dsimp [lift, Quiver.Hom.toPath] simp only [Category.id_comp] #align category_theory.paths.lift_spec CategoryTheory.Paths.lift_spec theorem lift_unique {C} [Category C] (φ : V ⥤q C) (Φ : Paths V ⥤ C) (hΦ : of ⋙q Φ.toPrefunctor = φ) : Φ = lift φ := by subst_vars fapply Functor.ext · rintro X rfl · rintro X Y f dsimp [lift] induction' f with _ _ p f' ih · simp only [Category.comp_id] apply Functor.map_id · simp only [Category.comp_id, Category.id_comp] at ih ⊢ -- Porting note: Had to do substitute `p.cons f'` and `f'.toPath` by their fully qualified -- versions in this `have` clause (elsewhere too). have : Φ.map (Quiver.Path.cons p f') = Φ.map p ≫ Φ.map (Quiver.Hom.toPath f') := by convert Functor.map_comp Φ p (Quiver.Hom.toPath f') rw [this, ih] #align category_theory.paths.lift_unique CategoryTheory.Paths.lift_unique @[ext]
Mathlib/CategoryTheory/PathCategory.lean
124
135
theorem ext_functor {C} [Category C] {F G : Paths V ⥤ C} (h_obj : F.obj = G.obj) (h : ∀ (a b : V) (e : a ⟶ b), F.map e.toPath = eqToHom (congr_fun h_obj a) ≫ G.map e.toPath ≫ eqToHom (congr_fun h_obj.symm b)) : F = G := by
fapply Functor.ext · intro X rw [h_obj] · intro X Y f induction' f with Y' Z' g e ih · erw [F.map_id, G.map_id, Category.id_comp, eqToHom_trans, eqToHom_refl] · erw [F.map_comp g (Quiver.Hom.toPath e), G.map_comp g (Quiver.Hom.toPath e), ih, h] simp only [Category.id_comp, eqToHom_refl, eqToHom_trans_assoc, Category.assoc]
0
import Batteries.Data.List.Lemmas import Batteries.Data.Array.Basic import Batteries.Tactic.SeqFocus import Batteries.Util.ProofWanted namespace Array theorem forIn_eq_data_forIn [Monad m] (as : Array α) (b : β) (f : α → β → m (ForInStep β)) : forIn as b f = forIn as.data b f := by let rec loop : ∀ {i h b j}, j + i = as.size → Array.forIn.loop as f i h b = forIn (as.data.drop j) b f | 0, _, _, _, rfl => by rw [List.drop_length]; rfl | i+1, _, _, j, ij => by simp only [forIn.loop, Nat.add] have j_eq : j = size as - 1 - i := by simp [← ij, ← Nat.add_assoc] have : as.size - 1 - i < as.size := j_eq ▸ ij ▸ Nat.lt_succ_of_le (Nat.le_add_right ..) have : as[size as - 1 - i] :: as.data.drop (j + 1) = as.data.drop j := by rw [j_eq]; exact List.get_cons_drop _ ⟨_, this⟩ simp only [← this, List.forIn_cons]; congr; funext x; congr; funext b rw [loop (i := i)]; rw [← ij, Nat.succ_add]; rfl conv => lhs; simp only [forIn, Array.forIn] rw [loop (Nat.zero_add _)]; rfl theorem zipWith_eq_zipWith_data (f : α → β → γ) (as : Array α) (bs : Array β) : (as.zipWith bs f).data = as.data.zipWith f bs.data := by let rec loop : ∀ (i : Nat) cs, i ≤ as.size → i ≤ bs.size → (zipWithAux f as bs i cs).data = cs.data ++ (as.data.drop i).zipWith f (bs.data.drop i) := by intro i cs hia hib unfold zipWithAux by_cases h : i = as.size ∨ i = bs.size case pos => have : ¬(i < as.size) ∨ ¬(i < bs.size) := by cases h <;> simp_all only [Nat.not_lt, Nat.le_refl, true_or, or_true] -- Cleaned up aesop output below simp_all only [Nat.not_lt] cases h <;> [(cases this); (cases this)] · simp_all only [Nat.le_refl, Nat.lt_irrefl, dite_false, List.drop_length, List.zipWith_nil_left, List.append_nil] · simp_all only [Nat.le_refl, Nat.lt_irrefl, dite_false, List.drop_length, List.zipWith_nil_left, List.append_nil] · simp_all only [Nat.le_refl, Nat.lt_irrefl, dite_false, List.drop_length, List.zipWith_nil_right, List.append_nil] split <;> simp_all only [Nat.not_lt] · simp_all only [Nat.le_refl, Nat.lt_irrefl, dite_false, List.drop_length, List.zipWith_nil_right, List.append_nil] split <;> simp_all only [Nat.not_lt] case neg => rw [not_or] at h have has : i < as.size := Nat.lt_of_le_of_ne hia h.1 have hbs : i < bs.size := Nat.lt_of_le_of_ne hib h.2 simp only [has, hbs, dite_true] rw [loop (i+1) _ has hbs, Array.push_data] have h₁ : [f as[i] bs[i]] = List.zipWith f [as[i]] [bs[i]] := rfl let i_as : Fin as.data.length := ⟨i, has⟩ let i_bs : Fin bs.data.length := ⟨i, hbs⟩ rw [h₁, List.append_assoc] congr rw [← List.zipWith_append (h := by simp), getElem_eq_data_get, getElem_eq_data_get] show List.zipWith f ((List.get as.data i_as) :: List.drop (i_as + 1) as.data) ((List.get bs.data i_bs) :: List.drop (i_bs + 1) bs.data) = List.zipWith f (List.drop i as.data) (List.drop i bs.data) simp only [List.get_cons_drop] termination_by as.size - i simp [zipWith, loop 0 #[] (by simp) (by simp)] theorem size_zipWith (as : Array α) (bs : Array β) (f : α → β → γ) : (as.zipWith bs f).size = min as.size bs.size := by rw [size_eq_length_data, zipWith_eq_zipWith_data, List.length_zipWith] theorem zip_eq_zip_data (as : Array α) (bs : Array β) : (as.zip bs).data = as.data.zip bs.data := zipWith_eq_zipWith_data Prod.mk as bs theorem size_zip (as : Array α) (bs : Array β) : (as.zip bs).size = min as.size bs.size := as.size_zipWith bs Prod.mk theorem size_filter_le (p : α → Bool) (l : Array α) : (l.filter p).size ≤ l.size := by simp only [← data_length, filter_data] apply List.length_filter_le @[simp] theorem join_data {l : Array (Array α)} : l.join.data = (l.data.map data).join := by dsimp [join] simp only [foldl_eq_foldl_data] generalize l.data = l have : ∀ a : Array α, (List.foldl ?_ a l).data = a.data ++ ?_ := ?_ exact this #[] induction l with | nil => simp | cons h => induction h.data <;> simp [*]
.lake/packages/batteries/Batteries/Data/Array/Lemmas.lean
106
113
theorem mem_join : ∀ {L : Array (Array α)}, a ∈ L.join ↔ ∃ l, l ∈ L ∧ a ∈ l := by
simp only [mem_def, join_data, List.mem_join, List.mem_map] intro l constructor · rintro ⟨_, ⟨s, m, rfl⟩, h⟩ exact ⟨s, m, h⟩ · rintro ⟨s, h₁, h₂⟩ refine ⟨s.data, ⟨⟨s, h₁, rfl⟩, h₂⟩⟩
0
import Mathlib.Algebra.MvPolynomial.PDeriv import Mathlib.Algebra.Polynomial.AlgebraMap import Mathlib.Algebra.Polynomial.Derivative import Mathlib.Data.Nat.Choose.Sum import Mathlib.LinearAlgebra.LinearIndependent import Mathlib.RingTheory.Polynomial.Pochhammer #align_import ring_theory.polynomial.bernstein from "leanprover-community/mathlib"@"bbeb185db4ccee8ed07dc48449414ebfa39cb821" noncomputable section open Nat (choose) open Polynomial (X) open scoped Polynomial variable (R : Type*) [CommRing R] def bernsteinPolynomial (n ν : ℕ) : R[X] := (choose n ν : R[X]) * X ^ ν * (1 - X) ^ (n - ν) #align bernstein_polynomial bernsteinPolynomial example : bernsteinPolynomial ℤ 3 2 = 3 * X ^ 2 - 3 * X ^ 3 := by norm_num [bernsteinPolynomial, choose] ring namespace bernsteinPolynomial theorem eq_zero_of_lt {n ν : ℕ} (h : n < ν) : bernsteinPolynomial R n ν = 0 := by simp [bernsteinPolynomial, Nat.choose_eq_zero_of_lt h] #align bernstein_polynomial.eq_zero_of_lt bernsteinPolynomial.eq_zero_of_lt section variable {R} {S : Type*} [CommRing S] @[simp] theorem map (f : R →+* S) (n ν : ℕ) : (bernsteinPolynomial R n ν).map f = bernsteinPolynomial S n ν := by simp [bernsteinPolynomial] #align bernstein_polynomial.map bernsteinPolynomial.map end theorem flip (n ν : ℕ) (h : ν ≤ n) : (bernsteinPolynomial R n ν).comp (1 - X) = bernsteinPolynomial R n (n - ν) := by simp [bernsteinPolynomial, h, tsub_tsub_assoc, mul_right_comm] #align bernstein_polynomial.flip bernsteinPolynomial.flip theorem flip' (n ν : ℕ) (h : ν ≤ n) : bernsteinPolynomial R n ν = (bernsteinPolynomial R n (n - ν)).comp (1 - X) := by simp [← flip _ _ _ h, Polynomial.comp_assoc] #align bernstein_polynomial.flip' bernsteinPolynomial.flip' theorem eval_at_0 (n ν : ℕ) : (bernsteinPolynomial R n ν).eval 0 = if ν = 0 then 1 else 0 := by rw [bernsteinPolynomial] split_ifs with h · subst h; simp · simp [zero_pow h] #align bernstein_polynomial.eval_at_0 bernsteinPolynomial.eval_at_0 theorem eval_at_1 (n ν : ℕ) : (bernsteinPolynomial R n ν).eval 1 = if ν = n then 1 else 0 := by rw [bernsteinPolynomial] split_ifs with h · subst h; simp · obtain hνn | hnν := Ne.lt_or_lt h · simp [zero_pow $ Nat.sub_ne_zero_of_lt hνn] · simp [Nat.choose_eq_zero_of_lt hnν] #align bernstein_polynomial.eval_at_1 bernsteinPolynomial.eval_at_1
Mathlib/RingTheory/Polynomial/Bernstein.lean
102
131
theorem derivative_succ_aux (n ν : ℕ) : Polynomial.derivative (bernsteinPolynomial R (n + 1) (ν + 1)) = (n + 1) * (bernsteinPolynomial R n ν - bernsteinPolynomial R n (ν + 1)) := by
rw [bernsteinPolynomial] suffices ((n + 1).choose (ν + 1) : R[X]) * ((↑(ν + 1 : ℕ) : R[X]) * X ^ ν) * (1 - X) ^ (n - ν) - ((n + 1).choose (ν + 1) : R[X]) * X ^ (ν + 1) * ((↑(n - ν) : R[X]) * (1 - X) ^ (n - ν - 1)) = (↑(n + 1) : R[X]) * ((n.choose ν : R[X]) * X ^ ν * (1 - X) ^ (n - ν) - (n.choose (ν + 1) : R[X]) * X ^ (ν + 1) * (1 - X) ^ (n - (ν + 1))) by simpa [Polynomial.derivative_pow, ← sub_eq_add_neg, Nat.succ_sub_succ_eq_sub, Polynomial.derivative_mul, Polynomial.derivative_natCast, zero_mul, Nat.cast_add, algebraMap.coe_one, Polynomial.derivative_X, mul_one, zero_add, Polynomial.derivative_sub, Polynomial.derivative_one, zero_sub, mul_neg, Nat.sub_zero, bernsteinPolynomial, map_add, map_natCast, Nat.cast_one] conv_rhs => rw [mul_sub] -- We'll prove the two terms match up separately. refine congr (congr_arg Sub.sub ?_) ?_ · simp only [← mul_assoc] apply congr (congr_arg (· * ·) (congr (congr_arg (· * ·) _) rfl)) rfl -- Now it's just about binomial coefficients exact mod_cast congr_arg (fun m : ℕ => (m : R[X])) (Nat.succ_mul_choose_eq n ν).symm · rw [← tsub_add_eq_tsub_tsub, ← mul_assoc, ← mul_assoc]; congr 1 rw [mul_comm, ← mul_assoc, ← mul_assoc]; congr 1 norm_cast congr 1 convert (Nat.choose_mul_succ_eq n (ν + 1)).symm using 1 · -- Porting note: was -- convert mul_comm _ _ using 2 -- simp rw [mul_comm, Nat.succ_sub_succ_eq_sub] · apply mul_comm
0
import Mathlib.FieldTheory.Separable import Mathlib.RingTheory.IntegralDomain import Mathlib.Algebra.CharP.Reduced import Mathlib.Tactic.ApplyFun #align_import field_theory.finite.basic from "leanprover-community/mathlib"@"12a85fac627bea918960da036049d611b1a3ee43" variable {K : Type*} {R : Type*} local notation "q" => Fintype.card K open Finset open scoped Polynomial namespace FiniteField theorem prod_univ_units_id_eq_neg_one [CommRing K] [IsDomain K] [Fintype Kˣ] : ∏ x : Kˣ, x = (-1 : Kˣ) := by classical have : (∏ x ∈ (@univ Kˣ _).erase (-1), x) = 1 := prod_involution (fun x _ => x⁻¹) (by simp) (fun a => by simp (config := { contextual := true }) [Units.inv_eq_self_iff]) (fun a => by simp [@inv_eq_iff_eq_inv _ _ a]) (by simp) rw [← insert_erase (mem_univ (-1 : Kˣ)), prod_insert (not_mem_erase _ _), this, mul_one] #align finite_field.prod_univ_units_id_eq_neg_one FiniteField.prod_univ_units_id_eq_neg_one set_option backward.synthInstance.canonInstances false in -- See https://github.com/leanprover-community/mathlib4/issues/12532 theorem card_cast_subgroup_card_ne_zero [Ring K] [NoZeroDivisors K] [Nontrivial K] (G : Subgroup Kˣ) [Fintype G] : (Fintype.card G : K) ≠ 0 := by let n := Fintype.card G intro nzero have ⟨p, char_p⟩ := CharP.exists K have hd : p ∣ n := (CharP.cast_eq_zero_iff K p n).mp nzero cases CharP.char_is_prime_or_zero K p with | inr pzero => exact (Fintype.card_pos).ne' <| Nat.eq_zero_of_zero_dvd <| pzero ▸ hd | inl pprime => have fact_pprime := Fact.mk pprime -- G has an element x of order p by Cauchy's theorem have ⟨x, hx⟩ := exists_prime_orderOf_dvd_card p hd -- F has an element u (= ↑↑x) of order p let u := ((x : Kˣ) : K) have hu : orderOf u = p := by rwa [orderOf_units, Subgroup.orderOf_coe] -- u ^ p = 1 implies (u - 1) ^ p = 0 and hence u = 1 ... have h : u = 1 := by rw [← sub_left_inj, sub_self 1] apply pow_eq_zero (n := p) rw [sub_pow_char_of_commute, one_pow, ← hu, pow_orderOf_eq_one, sub_self] exact Commute.one_right u -- ... meaning x didn't have order p after all, contradiction apply pprime.one_lt.ne rw [← hu, h, orderOf_one]
Mathlib/FieldTheory/Finite/Basic.lean
142
164
theorem sum_subgroup_units_eq_zero [Ring K] [NoZeroDivisors K] {G : Subgroup Kˣ} [Fintype G] (hg : G ≠ ⊥) : ∑ x : G, (x.val : K) = 0 := by
rw [Subgroup.ne_bot_iff_exists_ne_one] at hg rcases hg with ⟨a, ha⟩ -- The action of a on G as an embedding let a_mul_emb : G ↪ G := mulLeftEmbedding a -- ... and leaves G unchanged have h_unchanged : Finset.univ.map a_mul_emb = Finset.univ := by simp -- Therefore the sum of x over a G is the sum of a x over G have h_sum_map := Finset.univ.sum_map a_mul_emb fun x => ((x : Kˣ) : K) -- ... and the former is the sum of x over G. -- By algebraic manipulation, we have Σ G, x = ∑ G, a x = a ∑ G, x simp only [a_mul_emb, h_unchanged, Function.Embedding.coeFn_mk, Function.Embedding.toFun_eq_coe, mulLeftEmbedding_apply, Submonoid.coe_mul, Subgroup.coe_toSubmonoid, Units.val_mul, ← Finset.mul_sum] at h_sum_map -- thus one of (a - 1) or ∑ G, x is zero have hzero : (((a : Kˣ) : K) - 1) = 0 ∨ ∑ x : ↥G, ((x : Kˣ) : K) = 0 := by rw [← mul_eq_zero, sub_mul, ← h_sum_map, one_mul, sub_self] apply Or.resolve_left hzero contrapose! ha ext rwa [← sub_eq_zero]
0
import Mathlib.Analysis.Calculus.ContDiff.Bounds import Mathlib.Analysis.Calculus.IteratedDeriv.Defs import Mathlib.Analysis.Calculus.LineDeriv.Basic import Mathlib.Analysis.LocallyConvex.WithSeminorms import Mathlib.Analysis.Normed.Group.ZeroAtInfty import Mathlib.Analysis.SpecialFunctions.Pow.Real import Mathlib.Analysis.SpecialFunctions.JapaneseBracket import Mathlib.Topology.Algebra.UniformFilterBasis import Mathlib.Tactic.MoveAdd #align_import analysis.schwartz_space from "leanprover-community/mathlib"@"e137999b2c6f2be388f4cd3bbf8523de1910cd2b" noncomputable section open scoped Nat NNReal variable {𝕜 𝕜' D E F G V : Type*} variable [NormedAddCommGroup E] [NormedSpace ℝ E] variable [NormedAddCommGroup F] [NormedSpace ℝ F] variable (E F) structure SchwartzMap where toFun : E → F smooth' : ContDiff ℝ ⊤ toFun decay' : ∀ k n : ℕ, ∃ C : ℝ, ∀ x, ‖x‖ ^ k * ‖iteratedFDeriv ℝ n toFun x‖ ≤ C #align schwartz_map SchwartzMap scoped[SchwartzMap] notation "𝓢(" E ", " F ")" => SchwartzMap E F variable {E F} namespace SchwartzMap -- Porting note: removed -- instance : Coe 𝓢(E, F) (E → F) := ⟨toFun⟩ instance instFunLike : FunLike 𝓢(E, F) E F where coe f := f.toFun coe_injective' f g h := by cases f; cases g; congr #align schwartz_map.fun_like SchwartzMap.instFunLike instance instCoeFun : CoeFun 𝓢(E, F) fun _ => E → F := DFunLike.hasCoeToFun #align schwartz_map.has_coe_to_fun SchwartzMap.instCoeFun theorem decay (f : 𝓢(E, F)) (k n : ℕ) : ∃ C : ℝ, 0 < C ∧ ∀ x, ‖x‖ ^ k * ‖iteratedFDeriv ℝ n f x‖ ≤ C := by rcases f.decay' k n with ⟨C, hC⟩ exact ⟨max C 1, by positivity, fun x => (hC x).trans (le_max_left _ _)⟩ #align schwartz_map.decay SchwartzMap.decay theorem smooth (f : 𝓢(E, F)) (n : ℕ∞) : ContDiff ℝ n f := f.smooth'.of_le le_top #align schwartz_map.smooth SchwartzMap.smooth @[continuity] protected theorem continuous (f : 𝓢(E, F)) : Continuous f := (f.smooth 0).continuous #align schwartz_map.continuous SchwartzMap.continuous instance instContinuousMapClass : ContinuousMapClass 𝓢(E, F) E F where map_continuous := SchwartzMap.continuous protected theorem differentiable (f : 𝓢(E, F)) : Differentiable ℝ f := (f.smooth 1).differentiable rfl.le #align schwartz_map.differentiable SchwartzMap.differentiable protected theorem differentiableAt (f : 𝓢(E, F)) {x : E} : DifferentiableAt ℝ f x := f.differentiable.differentiableAt #align schwartz_map.differentiable_at SchwartzMap.differentiableAt @[ext] theorem ext {f g : 𝓢(E, F)} (h : ∀ x, (f : E → F) x = g x) : f = g := DFunLike.ext f g h #align schwartz_map.ext SchwartzMap.ext section IsBigO open Asymptotics Filter variable (f : 𝓢(E, F))
Mathlib/Analysis/Distribution/SchwartzSpace.lean
145
153
theorem isBigO_cocompact_zpow_neg_nat (k : ℕ) : f =O[cocompact E] fun x => ‖x‖ ^ (-k : ℤ) := by
obtain ⟨d, _, hd'⟩ := f.decay k 0 simp only [norm_iteratedFDeriv_zero] at hd' simp_rw [Asymptotics.IsBigO, Asymptotics.IsBigOWith] refine ⟨d, Filter.Eventually.filter_mono Filter.cocompact_le_cofinite ?_⟩ refine (Filter.eventually_cofinite_ne 0).mono fun x hx => ?_ rw [Real.norm_of_nonneg (zpow_nonneg (norm_nonneg _) _), zpow_neg, ← div_eq_mul_inv, le_div_iff'] exacts [hd' x, zpow_pos_of_pos (norm_pos_iff.mpr hx) _]
0
import Mathlib.Analysis.SpecificLimits.Basic import Mathlib.Data.Rat.Denumerable import Mathlib.Data.Set.Pointwise.Interval import Mathlib.SetTheory.Cardinal.Continuum #align_import data.real.cardinality from "leanprover-community/mathlib"@"7e7aaccf9b0182576cabdde36cf1b5ad3585b70d" open Nat Set open Cardinal noncomputable section namespace Cardinal variable {c : ℝ} {f g : ℕ → Bool} {n : ℕ} def cantorFunctionAux (c : ℝ) (f : ℕ → Bool) (n : ℕ) : ℝ := cond (f n) (c ^ n) 0 #align cardinal.cantor_function_aux Cardinal.cantorFunctionAux @[simp] theorem cantorFunctionAux_true (h : f n = true) : cantorFunctionAux c f n = c ^ n := by simp [cantorFunctionAux, h] #align cardinal.cantor_function_aux_tt Cardinal.cantorFunctionAux_true @[simp] theorem cantorFunctionAux_false (h : f n = false) : cantorFunctionAux c f n = 0 := by simp [cantorFunctionAux, h] #align cardinal.cantor_function_aux_ff Cardinal.cantorFunctionAux_false theorem cantorFunctionAux_nonneg (h : 0 ≤ c) : 0 ≤ cantorFunctionAux c f n := by cases h' : f n <;> simp [h'] apply pow_nonneg h #align cardinal.cantor_function_aux_nonneg Cardinal.cantorFunctionAux_nonneg theorem cantorFunctionAux_eq (h : f n = g n) : cantorFunctionAux c f n = cantorFunctionAux c g n := by simp [cantorFunctionAux, h] #align cardinal.cantor_function_aux_eq Cardinal.cantorFunctionAux_eq theorem cantorFunctionAux_zero (f : ℕ → Bool) : cantorFunctionAux c f 0 = cond (f 0) 1 0 := by cases h : f 0 <;> simp [h] #align cardinal.cantor_function_aux_zero Cardinal.cantorFunctionAux_zero theorem cantorFunctionAux_succ (f : ℕ → Bool) : (fun n => cantorFunctionAux c f (n + 1)) = fun n => c * cantorFunctionAux c (fun n => f (n + 1)) n := by ext n cases h : f (n + 1) <;> simp [h, _root_.pow_succ'] #align cardinal.cantor_function_aux_succ Cardinal.cantorFunctionAux_succ theorem summable_cantor_function (f : ℕ → Bool) (h1 : 0 ≤ c) (h2 : c < 1) : Summable (cantorFunctionAux c f) := by apply (summable_geometric_of_lt_one h1 h2).summable_of_eq_zero_or_self intro n; cases h : f n <;> simp [h] #align cardinal.summable_cantor_function Cardinal.summable_cantor_function def cantorFunction (c : ℝ) (f : ℕ → Bool) : ℝ := ∑' n, cantorFunctionAux c f n #align cardinal.cantor_function Cardinal.cantorFunction theorem cantorFunction_le (h1 : 0 ≤ c) (h2 : c < 1) (h3 : ∀ n, f n → g n) : cantorFunction c f ≤ cantorFunction c g := by apply tsum_le_tsum _ (summable_cantor_function f h1 h2) (summable_cantor_function g h1 h2) intro n; cases h : f n · simp [h, cantorFunctionAux_nonneg h1] replace h3 : g n = true := h3 n h; simp [h, h3] #align cardinal.cantor_function_le Cardinal.cantorFunction_le theorem cantorFunction_succ (f : ℕ → Bool) (h1 : 0 ≤ c) (h2 : c < 1) : cantorFunction c f = cond (f 0) 1 0 + c * cantorFunction c fun n => f (n + 1) := by rw [cantorFunction, tsum_eq_zero_add (summable_cantor_function f h1 h2)] rw [cantorFunctionAux_succ, tsum_mul_left, cantorFunctionAux, _root_.pow_zero] rfl #align cardinal.cantor_function_succ Cardinal.cantorFunction_succ
Mathlib/Data/Real/Cardinality.lean
123
164
theorem increasing_cantorFunction (h1 : 0 < c) (h2 : c < 1 / 2) {n : ℕ} {f g : ℕ → Bool} (hn : ∀ k < n, f k = g k) (fn : f n = false) (gn : g n = true) : cantorFunction c f < cantorFunction c g := by
have h3 : c < 1 := by apply h2.trans norm_num induction' n with n ih generalizing f g · let f_max : ℕ → Bool := fun n => Nat.rec false (fun _ _ => true) n have hf_max : ∀ n, f n → f_max n := by intro n hn cases n · rw [fn] at hn contradiction apply rfl let g_min : ℕ → Bool := fun n => Nat.rec true (fun _ _ => false) n have hg_min : ∀ n, g_min n → g n := by intro n hn cases n · rw [gn] simp at hn apply (cantorFunction_le (le_of_lt h1) h3 hf_max).trans_lt refine lt_of_lt_of_le ?_ (cantorFunction_le (le_of_lt h1) h3 hg_min) have : c / (1 - c) < 1 := by rw [div_lt_one, lt_sub_iff_add_lt] · convert _root_.add_lt_add h2 h2 norm_num rwa [sub_pos] convert this · rw [cantorFunction_succ _ (le_of_lt h1) h3, div_eq_mul_inv, ← tsum_geometric_of_lt_one (le_of_lt h1) h3] apply zero_add · refine (tsum_eq_single 0 ?_).trans ?_ · intro n hn cases n · contradiction rfl · exact cantorFunctionAux_zero _ rw [cantorFunction_succ f (le_of_lt h1) h3, cantorFunction_succ g (le_of_lt h1) h3] rw [hn 0 <| zero_lt_succ n] apply add_lt_add_left rw [mul_lt_mul_left h1] exact ih (fun k hk => hn _ <| Nat.succ_lt_succ hk) fn gn
0
import Mathlib.Data.List.Chain import Mathlib.Data.List.Enum import Mathlib.Data.List.Nodup import Mathlib.Data.List.Pairwise import Mathlib.Data.List.Zip #align_import data.list.range from "leanprover-community/mathlib"@"7b78d1776212a91ecc94cf601f83bdcc46b04213" set_option autoImplicit true universe u open Nat namespace List variable {α : Type u} @[simp] theorem range'_one {step} : range' s 1 step = [s] := rfl #align list.length_range' List.length_range' #align list.range'_eq_nil List.range'_eq_nil #align list.mem_range' List.mem_range'_1 #align list.map_add_range' List.map_add_range' #align list.map_sub_range' List.map_sub_range' #align list.chain_succ_range' List.chain_succ_range' #align list.chain_lt_range' List.chain_lt_range' theorem pairwise_lt_range' : ∀ s n (step := 1) (_ : 0 < step := by simp), Pairwise (· < ·) (range' s n step) | _, 0, _, _ => Pairwise.nil | s, n + 1, _, h => chain_iff_pairwise.1 (chain_lt_range' s n h) #align list.pairwise_lt_range' List.pairwise_lt_range' theorem nodup_range' (s n : ℕ) (step := 1) (h : 0 < step := by simp) : Nodup (range' s n step) := (pairwise_lt_range' s n step h).imp _root_.ne_of_lt #align list.nodup_range' List.nodup_range' #align list.range'_append List.range'_append #align list.range'_sublist_right List.range'_sublist_right #align list.range'_subset_right List.range'_subset_right #align list.nth_range' List.get?_range' set_option linter.deprecated false in @[simp] theorem nthLe_range' {n m step} (i) (H : i < (range' n m step).length) : nthLe (range' n m step) i H = n + step * i := get_range' i H set_option linter.deprecated false in theorem nthLe_range'_1 {n m} (i) (H : i < (range' n m).length) : nthLe (range' n m) i H = n + i := by simp #align list.nth_le_range' List.nthLe_range'_1 #align list.range'_concat List.range'_concat #align list.range_core List.range.loop #align list.range_core_range' List.range_loop_range' #align list.range_eq_range' List.range_eq_range' #align list.range_succ_eq_map List.range_succ_eq_map #align list.range'_eq_map_range List.range'_eq_map_range #align list.length_range List.length_range #align list.range_eq_nil List.range_eq_nil theorem pairwise_lt_range (n : ℕ) : Pairwise (· < ·) (range n) := by simp (config := {decide := true}) only [range_eq_range', pairwise_lt_range'] #align list.pairwise_lt_range List.pairwise_lt_range theorem pairwise_le_range (n : ℕ) : Pairwise (· ≤ ·) (range n) := Pairwise.imp (@le_of_lt ℕ _) (pairwise_lt_range _) #align list.pairwise_le_range List.pairwise_le_range theorem take_range (m n : ℕ) : take m (range n) = range (min m n) := by apply List.ext_get · simp · simp (config := { contextual := true }) [← get_take, Nat.lt_min] theorem nodup_range (n : ℕ) : Nodup (range n) := by simp (config := {decide := true}) only [range_eq_range', nodup_range'] #align list.nodup_range List.nodup_range #align list.range_sublist List.range_sublist #align list.range_subset List.range_subset #align list.mem_range List.mem_range #align list.not_mem_range_self List.not_mem_range_self #align list.self_mem_range_succ List.self_mem_range_succ #align list.nth_range List.get?_range #align list.range_succ List.range_succ #align list.range_zero List.range_zero theorem chain'_range_succ (r : ℕ → ℕ → Prop) (n : ℕ) : Chain' r (range n.succ) ↔ ∀ m < n, r m m.succ := by rw [range_succ] induction' n with n hn · simp · rw [range_succ] simp only [append_assoc, singleton_append, chain'_append_cons_cons, chain'_singleton, and_true_iff] rw [hn, forall_lt_succ] #align list.chain'_range_succ List.chain'_range_succ
Mathlib/Data/List/Range.lean
115
118
theorem chain_range_succ (r : ℕ → ℕ → Prop) (n a : ℕ) : Chain r a (range n.succ) ↔ r a 0 ∧ ∀ m < n, r m m.succ := by
rw [range_succ_eq_map, chain_cons, and_congr_right_iff, ← chain'_range_succ, range_succ_eq_map] exact fun _ => Iff.rfl
0
import Mathlib.Data.Nat.Choose.Basic import Mathlib.Data.Nat.Prime #align_import data.nat.choose.dvd from "leanprover-community/mathlib"@"966e0cf0685c9cedf8a3283ac69eef4d5f2eaca2" namespace Nat open Nat namespace Prime variable {p a b k : ℕ}
Mathlib/Data/Nat/Choose/Dvd.lean
24
29
theorem dvd_choose_add (hp : Prime p) (hap : a < p) (hbp : b < p) (h : p ≤ a + b) : p ∣ choose (a + b) a := by
have h₁ : p ∣ (a + b)! := hp.dvd_factorial.2 h rw [← add_choose_mul_factorial_mul_factorial, ← choose_symm_add, hp.dvd_mul, hp.dvd_mul, hp.dvd_factorial, hp.dvd_factorial] at h₁ exact (h₁.resolve_right hbp.not_le).resolve_right hap.not_le
0
import Mathlib.NumberTheory.SmoothNumbers import Mathlib.Analysis.PSeries open Set Nat open scoped Topology -- This needs `Mathlib.Analysis.RCLike.Basic`, so we put it here -- instead of in `Mathlib.NumberTheory.SmoothNumbers`. lemma Nat.roughNumbersUpTo_card_le' (N k : ℕ) : (roughNumbersUpTo N k).card ≤ N * (N.succ.primesBelow \ k.primesBelow).sum (fun p ↦ (1 : ℝ) / p) := by simp_rw [Finset.mul_sum, mul_one_div] exact (Nat.cast_le.mpr <| roughNumbersUpTo_card_le N k).trans <| (cast_sum (β := ℝ) ..) ▸ Finset.sum_le_sum fun n _ ↦ cast_div_le lemma one_half_le_sum_primes_ge_one_div (k : ℕ) : 1 / 2 ≤ ∑ p ∈ (4 ^ (k.primesBelow.card + 1)).succ.primesBelow \ k.primesBelow, (1 / p : ℝ) := by set m : ℕ := 2 ^ k.primesBelow.card set N₀ : ℕ := 2 * m ^ 2 with hN₀ let S : ℝ := ((2 * N₀).succ.primesBelow \ k.primesBelow).sum (fun p ↦ (1 / p : ℝ)) suffices 1 / 2 ≤ S by convert this using 5 rw [show 4 = 2 ^ 2 by norm_num, pow_right_comm] ring suffices 2 * N₀ ≤ m * (2 * N₀).sqrt + 2 * N₀ * S by rwa [hN₀, ← mul_assoc, ← pow_two 2, ← mul_pow, sqrt_eq', ← sub_le_iff_le_add', cast_mul, cast_mul, cast_pow, cast_two, show (2 * (2 * m ^ 2) - m * (2 * m) : ℝ) = 2 * (2 * m ^ 2) * (1 / 2) by ring, _root_.mul_le_mul_left <| by positivity] at this calc (2 * N₀ : ℝ) _ = ((2 * N₀).smoothNumbersUpTo k).card + ((2 * N₀).roughNumbersUpTo k).card := by exact_mod_cast ((2 * N₀).smoothNumbersUpTo_card_add_roughNumbersUpTo_card k).symm _ ≤ m * (2 * N₀).sqrt + ((2 * N₀).roughNumbersUpTo k).card := by exact_mod_cast Nat.add_le_add_right ((2 * N₀).smoothNumbersUpTo_card_le k) _ _ ≤ m * (2 * N₀).sqrt + 2 * N₀ * S := add_le_add_left ?_ _ exact_mod_cast roughNumbersUpTo_card_le' (2 * N₀) k theorem not_summable_one_div_on_primes : ¬ Summable (indicator {p | p.Prime} (fun n : ℕ ↦ (1 : ℝ) / n)) := by intro h obtain ⟨k, hk⟩ := h.nat_tsum_vanishing (Iio_mem_nhds one_half_pos : Iio (1 / 2 : ℝ) ∈ 𝓝 0) specialize hk ({p | Nat.Prime p} ∩ {p | k ≤ p}) inter_subset_right rw [tsum_subtype, indicator_indicator, inter_eq_left.mpr fun n hn ↦ hn.1, mem_Iio] at hk have h' : Summable (indicator ({p | Nat.Prime p} ∩ {p | k ≤ p}) fun n ↦ (1 : ℝ) / n) := by convert h.indicator {n : ℕ | k ≤ n} using 1 simp only [indicator_indicator, inter_comm] refine ((one_half_le_sum_primes_ge_one_div k).trans_lt <| LE.le.trans_lt ?_ hk).false convert sum_le_tsum (primesBelow ((4 ^ (k.primesBelow.card + 1)).succ) \ primesBelow k) (fun n _ ↦ indicator_nonneg (fun p _ ↦ by positivity) _) h' using 2 with p hp obtain ⟨hp₁, hp₂⟩ := mem_setOf_eq ▸ Finset.mem_sdiff.mp hp have hpp := prime_of_mem_primesBelow hp₁ refine (indicator_of_mem (mem_def.mpr ⟨hpp, ?_⟩) fun n : ℕ ↦ (1 / n : ℝ)).symm exact not_lt.mp <| (not_and_or.mp <| (not_congr mem_primesBelow).mp hp₂).neg_resolve_right hpp
Mathlib/NumberTheory/SumPrimeReciprocals.lean
82
83
theorem Nat.Primes.not_summable_one_div : ¬ Summable (fun p : Nat.Primes ↦ (1 / p : ℝ)) := by
convert summable_subtype_iff_indicator.mp.mt not_summable_one_div_on_primes
0
import Mathlib.Analysis.SpecialFunctions.ExpDeriv #align_import analysis.ODE.gronwall from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] {F : Type*} [NormedAddCommGroup F] [NormedSpace ℝ F] open Metric Set Asymptotics Filter Real open scoped Classical Topology NNReal noncomputable def gronwallBound (δ K ε x : ℝ) : ℝ := if K = 0 then δ + ε * x else δ * exp (K * x) + ε / K * (exp (K * x) - 1) #align gronwall_bound gronwallBound theorem gronwallBound_K0 (δ ε : ℝ) : gronwallBound δ 0 ε = fun x => δ + ε * x := funext fun _ => if_pos rfl set_option linter.uppercaseLean3 false in #align gronwall_bound_K0 gronwallBound_K0 theorem gronwallBound_of_K_ne_0 {δ K ε : ℝ} (hK : K ≠ 0) : gronwallBound δ K ε = fun x => δ * exp (K * x) + ε / K * (exp (K * x) - 1) := funext fun _ => if_neg hK set_option linter.uppercaseLean3 false in #align gronwall_bound_of_K_ne_0 gronwallBound_of_K_ne_0 theorem hasDerivAt_gronwallBound (δ K ε x : ℝ) : HasDerivAt (gronwallBound δ K ε) (K * gronwallBound δ K ε x + ε) x := by by_cases hK : K = 0 · subst K simp only [gronwallBound_K0, zero_mul, zero_add] convert ((hasDerivAt_id x).const_mul ε).const_add δ rw [mul_one] · simp only [gronwallBound_of_K_ne_0 hK] convert (((hasDerivAt_id x).const_mul K).exp.const_mul δ).add ((((hasDerivAt_id x).const_mul K).exp.sub_const 1).const_mul (ε / K)) using 1 simp only [id, mul_add, (mul_assoc _ _ _).symm, mul_comm _ K, mul_div_cancel₀ _ hK] ring #align has_deriv_at_gronwall_bound hasDerivAt_gronwallBound theorem hasDerivAt_gronwallBound_shift (δ K ε x a : ℝ) : HasDerivAt (fun y => gronwallBound δ K ε (y - a)) (K * gronwallBound δ K ε (x - a) + ε) x := by convert (hasDerivAt_gronwallBound δ K ε _).comp x ((hasDerivAt_id x).sub_const a) using 1 rw [id, mul_one] #align has_deriv_at_gronwall_bound_shift hasDerivAt_gronwallBound_shift theorem gronwallBound_x0 (δ K ε : ℝ) : gronwallBound δ K ε 0 = δ := by by_cases hK : K = 0 · simp only [gronwallBound, if_pos hK, mul_zero, add_zero] · simp only [gronwallBound, if_neg hK, mul_zero, exp_zero, sub_self, mul_one, add_zero] #align gronwall_bound_x0 gronwallBound_x0
Mathlib/Analysis/ODE/Gronwall.lean
86
89
theorem gronwallBound_ε0 (δ K x : ℝ) : gronwallBound δ K 0 x = δ * exp (K * x) := by
by_cases hK : K = 0 · simp only [gronwallBound_K0, hK, zero_mul, exp_zero, add_zero, mul_one] · simp only [gronwallBound_of_K_ne_0 hK, zero_div, zero_mul, add_zero]
0
import Mathlib.CategoryTheory.Closed.Cartesian import Mathlib.CategoryTheory.Limits.Preserves.Shapes.BinaryProducts import Mathlib.CategoryTheory.Adjunction.FullyFaithful #align_import category_theory.closed.functor from "leanprover-community/mathlib"@"cea27692b3fdeb328a2ddba6aabf181754543184" noncomputable section namespace CategoryTheory open Category Limits CartesianClosed universe v u u' variable {C : Type u} [Category.{v} C] variable {D : Type u'} [Category.{v} D] variable [HasFiniteProducts C] [HasFiniteProducts D] variable (F : C ⥤ D) {L : D ⥤ C} def frobeniusMorphism (h : L ⊣ F) (A : C) : prod.functor.obj (F.obj A) ⋙ L ⟶ L ⋙ prod.functor.obj A := prodComparisonNatTrans L (F.obj A) ≫ whiskerLeft _ (prod.functor.map (h.counit.app _)) #align category_theory.frobenius_morphism CategoryTheory.frobeniusMorphism instance frobeniusMorphism_iso_of_preserves_binary_products (h : L ⊣ F) (A : C) [PreservesLimitsOfShape (Discrete WalkingPair) L] [F.Full] [F.Faithful] : IsIso (frobeniusMorphism F h A) := suffices ∀ (X : D), IsIso ((frobeniusMorphism F h A).app X) from NatIso.isIso_of_isIso_app _ fun B ↦ by dsimp [frobeniusMorphism]; infer_instance #align category_theory.frobenius_morphism_iso_of_preserves_binary_products CategoryTheory.frobeniusMorphism_iso_of_preserves_binary_products variable [CartesianClosed C] [CartesianClosed D] variable [PreservesLimitsOfShape (Discrete WalkingPair) F] def expComparison (A : C) : exp A ⋙ F ⟶ F ⋙ exp (F.obj A) := transferNatTrans (exp.adjunction A) (exp.adjunction (F.obj A)) (prodComparisonNatIso F A).inv #align category_theory.exp_comparison CategoryTheory.expComparison theorem expComparison_ev (A B : C) : Limits.prod.map (𝟙 (F.obj A)) ((expComparison F A).app B) ≫ (exp.ev (F.obj A)).app (F.obj B) = inv (prodComparison F _ _) ≫ F.map ((exp.ev _).app _) := by convert transferNatTrans_counit _ _ (prodComparisonNatIso F A).inv B using 2 apply IsIso.inv_eq_of_hom_inv_id -- Porting note: was `ext` simp only [Limits.prodComparisonNatIso_inv, asIso_inv, NatIso.isIso_inv_app, IsIso.hom_inv_id] #align category_theory.exp_comparison_ev CategoryTheory.expComparison_ev theorem coev_expComparison (A B : C) : F.map ((exp.coev A).app B) ≫ (expComparison F A).app (A ⨯ B) = (exp.coev _).app (F.obj B) ≫ (exp (F.obj A)).map (inv (prodComparison F A B)) := by convert unit_transferNatTrans _ _ (prodComparisonNatIso F A).inv B using 3 apply IsIso.inv_eq_of_hom_inv_id -- Porting note: was `ext` dsimp simp #align category_theory.coev_exp_comparison CategoryTheory.coev_expComparison theorem uncurry_expComparison (A B : C) : CartesianClosed.uncurry ((expComparison F A).app B) = inv (prodComparison F _ _) ≫ F.map ((exp.ev _).app _) := by rw [uncurry_eq, expComparison_ev] #align category_theory.uncurry_exp_comparison CategoryTheory.uncurry_expComparison theorem expComparison_whiskerLeft {A A' : C} (f : A' ⟶ A) : expComparison F A ≫ whiskerLeft _ (pre (F.map f)) = whiskerRight (pre f) _ ≫ expComparison F A' := by ext B dsimp apply uncurry_injective rw [uncurry_natural_left, uncurry_natural_left, uncurry_expComparison, uncurry_pre, prod.map_swap_assoc, ← F.map_id, expComparison_ev, ← F.map_id, ← prodComparison_inv_natural_assoc, ← prodComparison_inv_natural_assoc, ← F.map_comp, ← F.map_comp, prod_map_pre_app_comp_ev] #align category_theory.exp_comparison_whisker_left CategoryTheory.expComparison_whiskerLeft class CartesianClosedFunctor : Prop where comparison_iso : ∀ A, IsIso (expComparison F A) #align category_theory.cartesian_closed_functor CategoryTheory.CartesianClosedFunctor attribute [instance] CartesianClosedFunctor.comparison_iso theorem frobeniusMorphism_mate (h : L ⊣ F) (A : C) : transferNatTransSelf (h.comp (exp.adjunction A)) ((exp.adjunction (F.obj A)).comp h) (frobeniusMorphism F h A) = expComparison F A := by rw [← Equiv.eq_symm_apply] ext B : 2 dsimp [frobeniusMorphism, transferNatTransSelf, transferNatTrans, Adjunction.comp] simp only [id_comp, comp_id] rw [← L.map_comp_assoc, prod.map_id_comp, assoc] -- Porting note: need to use `erw` here. -- https://github.com/leanprover-community/mathlib4/issues/5164 erw [expComparison_ev] rw [prod.map_id_comp, assoc, ← F.map_id, ← prodComparison_inv_natural_assoc, ← F.map_comp] -- Porting note: need to use `erw` here. -- https://github.com/leanprover-community/mathlib4/issues/5164 erw [exp.ev_coev] rw [F.map_id (A ⨯ L.obj B), comp_id] ext · rw [assoc, assoc, ← h.counit_naturality, ← L.map_comp_assoc, assoc, inv_prodComparison_map_fst] simp · rw [assoc, assoc, ← h.counit_naturality, ← L.map_comp_assoc, assoc, inv_prodComparison_map_snd] simp #align category_theory.frobenius_morphism_mate CategoryTheory.frobeniusMorphism_mate
Mathlib/CategoryTheory/Closed/Functor.lean
156
159
theorem frobeniusMorphism_iso_of_expComparison_iso (h : L ⊣ F) (A : C) [i : IsIso (expComparison F A)] : IsIso (frobeniusMorphism F h A) := by
rw [← frobeniusMorphism_mate F h] at i exact @transferNatTransSelf_of_iso _ _ _ _ _ _ _ _ _ _ _ i
0
import Mathlib.LinearAlgebra.Dimension.StrongRankCondition import Mathlib.LinearAlgebra.FreeModule.Basic import Mathlib.LinearAlgebra.FreeModule.Finite.Basic #align_import linear_algebra.dimension from "leanprover-community/mathlib"@"47a5f8186becdbc826190ced4312f8199f9db6a5" noncomputable section universe u v v' w open Cardinal Basis Submodule Function Set DirectSum FiniteDimensional section Tower variable (F : Type u) (K : Type v) (A : Type w) variable [Ring F] [Ring K] [AddCommGroup A] variable [Module F K] [Module K A] [Module F A] [IsScalarTower F K A] variable [StrongRankCondition F] [StrongRankCondition K] [Module.Free F K] [Module.Free K A] theorem lift_rank_mul_lift_rank : Cardinal.lift.{w} (Module.rank F K) * Cardinal.lift.{v} (Module.rank K A) = Cardinal.lift.{v} (Module.rank F A) := by let b := Module.Free.chooseBasis F K let c := Module.Free.chooseBasis K A rw [← (Module.rank F K).lift_id, ← b.mk_eq_rank, ← (Module.rank K A).lift_id, ← c.mk_eq_rank, ← lift_umax.{w, v}, ← (b.smul c).mk_eq_rank, mk_prod, lift_mul, lift_lift, lift_lift, lift_lift, lift_lift, lift_umax.{v, w}] #align lift_rank_mul_lift_rank lift_rank_mul_lift_rank theorem rank_mul_rank (A : Type v) [AddCommGroup A] [Module K A] [Module F A] [IsScalarTower F K A] [Module.Free K A] : Module.rank F K * Module.rank K A = Module.rank F A := by convert lift_rank_mul_lift_rank F K A <;> rw [lift_id] #align rank_mul_rank rank_mul_rank
Mathlib/LinearAlgebra/Dimension/Free.lean
63
66
theorem FiniteDimensional.finrank_mul_finrank : finrank F K * finrank K A = finrank F A := by
simp_rw [finrank] rw [← toNat_lift.{w} (Module.rank F K), ← toNat_lift.{v} (Module.rank K A), ← toNat_mul, lift_rank_mul_lift_rank, toNat_lift]
0
import Mathlib.Topology.Baire.Lemmas import Mathlib.Topology.Algebra.Group.Basic open scoped Topology Pointwise open MulAction Set Function variable {G X : Type*} [TopologicalSpace G] [TopologicalSpace X] [Group G] [TopologicalGroup G] [MulAction G X] [SigmaCompactSpace G] [BaireSpace X] [T2Space X] [ContinuousSMul G X] [IsPretransitive G X] @[to_additive "Consider a sigma-compact additive group acting continuously and transitively on a Baire space. Then the orbit map is open around zero. It follows in `isOpenMap_vadd_of_sigmaCompact` that it is open around any point."] theorem smul_singleton_mem_nhds_of_sigmaCompact {U : Set G} (hU : U ∈ 𝓝 1) (x : X) : U • {x} ∈ 𝓝 x := by obtain ⟨V, V_mem, V_closed, V_symm, VU⟩ : ∃ V ∈ 𝓝 (1 : G), IsClosed V ∧ V⁻¹ = V ∧ V * V ⊆ U := exists_closed_nhds_one_inv_eq_mul_subset hU obtain ⟨s, s_count, hs⟩ : ∃ (s : Set G), s.Countable ∧ ⋃ g ∈ s, g • V = univ := by apply countable_cover_nhds_of_sigma_compact (fun g ↦ ?_) convert smul_mem_nhds g V_mem simp only [smul_eq_mul, mul_one] let K : ℕ → Set G := compactCovering G let F : ℕ × s → Set X := fun p ↦ (K p.1 ∩ (p.2 : G) • V) • ({x} : Set X) obtain ⟨⟨n, ⟨g, hg⟩⟩, hi⟩ : ∃ i, (interior (F i)).Nonempty := by have : Nonempty X := ⟨x⟩ have : Encodable s := Countable.toEncodable s_count apply nonempty_interior_of_iUnion_of_closed · rintro ⟨n, ⟨g, hg⟩⟩ apply IsCompact.isClosed suffices H : IsCompact ((fun (g : G) ↦ g • x) '' (K n ∩ g • V)) by simpa only [F, smul_singleton] using H apply IsCompact.image · exact (isCompact_compactCovering G n).inter_right (V_closed.smul g) · exact continuous_id.smul continuous_const · apply eq_univ_iff_forall.2 (fun y ↦ ?_) obtain ⟨h, rfl⟩ : ∃ h, h • x = y := exists_smul_eq G x y obtain ⟨n, hn⟩ : ∃ n, h ∈ K n := exists_mem_compactCovering h obtain ⟨g, gs, hg⟩ : ∃ g ∈ s, h ∈ g • V := exists_set_mem_of_union_eq_top s _ hs _ simp only [F, smul_singleton, mem_iUnion, mem_image, mem_inter_iff, Prod.exists, Subtype.exists, exists_prop] exact ⟨n, g, gs, h, ⟨hn, hg⟩, rfl⟩ have I : (interior ((g • V) • {x})).Nonempty := by apply hi.mono apply interior_mono exact smul_subset_smul_right inter_subset_right obtain ⟨y, hy⟩ : (interior (V • ({x} : Set X))).Nonempty := by rw [smul_assoc, interior_smul] at I exact smul_set_nonempty.1 I obtain ⟨g', hg', rfl⟩ : ∃ g' ∈ V, g' • x = y := by simpa using interior_subset hy have J : (g' ⁻¹ • V) • {x} ∈ 𝓝 x := by apply mem_interior_iff_mem_nhds.1 rwa [smul_assoc, interior_smul, mem_inv_smul_set_iff] have : (g'⁻¹ • V) • {x} ⊆ U • ({x} : Set X) := by apply smul_subset_smul_right apply Subset.trans (smul_set_subset_smul (inv_mem_inv.2 hg')) ?_ rw [V_symm] exact VU exact Filter.mem_of_superset J this @[to_additive "Consider a sigma-compact additive group acting continuously and transitively on a Baire space. Then the orbit map is open. This is a version of the open mapping theorem, valid notably for the action of a sigma-compact locally compact group on a locally compact space."] theorem isOpenMap_smul_of_sigmaCompact (x : X) : IsOpenMap (fun (g : G) ↦ g • x) := by simp_rw [isOpenMap_iff_nhds_le, Filter.le_map_iff] intro g U hU have : (· • x) = (· • (g • x)) ∘ (· * g⁻¹) := by ext g simp [smul_smul] rw [this, image_comp, ← smul_singleton] apply smul_singleton_mem_nhds_of_sigmaCompact simpa using isOpenMap_mul_right g⁻¹ |>.image_mem_nhds hU @[to_additive]
Mathlib/Topology/Algebra/Group/OpenMapping.lean
112
121
theorem MonoidHom.isOpenMap_of_sigmaCompact {H : Type*} [Group H] [TopologicalSpace H] [BaireSpace H] [T2Space H] [ContinuousMul H] (f : G →* H) (hf : Function.Surjective f) (h'f : Continuous f) : IsOpenMap f := by
let A : MulAction G H := MulAction.compHom _ f have : ContinuousSMul G H := continuousSMul_compHom h'f have : IsPretransitive G H := isPretransitive_compHom hf have : f = (fun (g : G) ↦ g • (1 : H)) := by simp [MulAction.compHom_smul_def] rw [this] exact isOpenMap_smul_of_sigmaCompact _
0
import Mathlib.Analysis.SpecialFunctions.PolarCoord import Mathlib.Analysis.SpecialFunctions.Gamma.Basic open Real Set MeasureTheory MeasureTheory.Measure section real
Mathlib/MeasureTheory/Integral/Gamma.lean
21
37
theorem integral_rpow_mul_exp_neg_rpow {p q : ℝ} (hp : 0 < p) (hq : - 1 < q) : ∫ x in Ioi (0:ℝ), x ^ q * exp (- x ^ p) = (1 / p) * Gamma ((q + 1) / p) := by
calc _ = ∫ (x : ℝ) in Ioi 0, (1 / p * x ^ (1 / p - 1)) • ((x ^ (1 / p)) ^ q * exp (-x)) := by rw [← integral_comp_rpow_Ioi _ (one_div_ne_zero (ne_of_gt hp)), abs_eq_self.mpr (le_of_lt (one_div_pos.mpr hp))] refine setIntegral_congr measurableSet_Ioi (fun _ hx => ?_) rw [← rpow_mul (le_of_lt hx) _ p, one_div_mul_cancel (ne_of_gt hp), rpow_one] _ = ∫ (x : ℝ) in Ioi 0, 1 / p * exp (-x) * x ^ (1 / p - 1 + q / p) := by simp_rw [smul_eq_mul, mul_assoc] refine setIntegral_congr measurableSet_Ioi (fun _ hx => ?_) rw [← rpow_mul (le_of_lt hx), div_mul_eq_mul_div, one_mul, rpow_add hx] ring_nf _ = (1 / p) * Gamma ((q + 1) / p) := by rw [Gamma_eq_integral (div_pos (neg_lt_iff_pos_add.mp hq) hp)] simp_rw [show 1 / p - 1 + q / p = (q + 1) / p - 1 by field_simp; ring, ← integral_mul_left, ← mul_assoc]
0
import Mathlib.CategoryTheory.Filtered.Connected import Mathlib.CategoryTheory.Limits.TypesFiltered import Mathlib.CategoryTheory.Limits.Final universe v₁ v₂ u₁ u₂ namespace CategoryTheory open CategoryTheory.Limits CategoryTheory.Functor Opposite section ArbitraryUniverses variable {C : Type u₁} [Category.{v₁} C] {D : Type u₂} [Category.{v₂} D] (F : C ⥤ D) theorem Functor.final_of_isFiltered_structuredArrow [∀ d, IsFiltered (StructuredArrow d F)] : Final F where out _ := IsFiltered.isConnected _ theorem Functor.initial_of_isCofiltered_costructuredArrow [∀ d, IsCofiltered (CostructuredArrow F d)] : Initial F where out _ := IsCofiltered.isConnected _ theorem isFiltered_structuredArrow_of_isFiltered_of_exists [IsFilteredOrEmpty C] (h₁ : ∀ d, ∃ c, Nonempty (d ⟶ F.obj c)) (h₂ : ∀ {d : D} {c : C} (s s' : d ⟶ F.obj c), ∃ (c' : C) (t : c ⟶ c'), s ≫ F.map t = s' ≫ F.map t) (d : D) : IsFiltered (StructuredArrow d F) := by have : Nonempty (StructuredArrow d F) := by obtain ⟨c, ⟨f⟩⟩ := h₁ d exact ⟨.mk f⟩ suffices IsFilteredOrEmpty (StructuredArrow d F) from IsFiltered.mk refine ⟨fun f g => ?_, fun f g η μ => ?_⟩ · obtain ⟨c, ⟨t, ht⟩⟩ := h₂ (f.hom ≫ F.map (IsFiltered.leftToMax f.right g.right)) (g.hom ≫ F.map (IsFiltered.rightToMax f.right g.right)) refine ⟨.mk (f.hom ≫ F.map (IsFiltered.leftToMax f.right g.right ≫ t)), ?_, ?_, trivial⟩ · exact StructuredArrow.homMk (IsFiltered.leftToMax _ _ ≫ t) rfl · exact StructuredArrow.homMk (IsFiltered.rightToMax _ _ ≫ t) (by simpa using ht.symm) · refine ⟨.mk (f.hom ≫ F.map (η.right ≫ IsFiltered.coeqHom η.right μ.right)), StructuredArrow.homMk (IsFiltered.coeqHom η.right μ.right) (by simp), ?_⟩ simpa using IsFiltered.coeq_condition _ _ theorem isCofiltered_costructuredArrow_of_isCofiltered_of_exists [IsCofilteredOrEmpty C] (h₁ : ∀ d, ∃ c, Nonempty (F.obj c ⟶ d)) (h₂ : ∀ {d : D} {c : C} (s s' : F.obj c ⟶ d), ∃ (c' : C) (t : c' ⟶ c), F.map t ≫ s = F.map t ≫ s') (d : D) : IsCofiltered (CostructuredArrow F d) := by suffices IsFiltered (CostructuredArrow F d)ᵒᵖ from isCofiltered_of_isFiltered_op _ suffices IsFiltered (StructuredArrow (op d) F.op) from IsFiltered.of_equivalence (costructuredArrowOpEquivalence _ _).symm apply isFiltered_structuredArrow_of_isFiltered_of_exists · intro d obtain ⟨c, ⟨t⟩⟩ := h₁ d.unop exact ⟨op c, ⟨Quiver.Hom.op t⟩⟩ · intro d c s s' obtain ⟨c', t, ht⟩ := h₂ s.unop s'.unop exact ⟨op c', Quiver.Hom.op t, Quiver.Hom.unop_inj ht⟩ theorem Functor.final_of_exists_of_isFiltered [IsFilteredOrEmpty C] (h₁ : ∀ d, ∃ c, Nonempty (d ⟶ F.obj c)) (h₂ : ∀ {d : D} {c : C} (s s' : d ⟶ F.obj c), ∃ (c' : C) (t : c ⟶ c'), s ≫ F.map t = s' ≫ F.map t) : Functor.Final F := by suffices ∀ d, IsFiltered (StructuredArrow d F) from final_of_isFiltered_structuredArrow F exact isFiltered_structuredArrow_of_isFiltered_of_exists F h₁ h₂ theorem Functor.initial_of_exists_of_isCofiltered [IsCofilteredOrEmpty C] (h₁ : ∀ d, ∃ c, Nonempty (F.obj c ⟶ d)) (h₂ : ∀ {d : D} {c : C} (s s' : F.obj c ⟶ d), ∃ (c' : C) (t : c' ⟶ c), F.map t ≫ s = F.map t ≫ s') : Functor.Initial F := by suffices ∀ d, IsCofiltered (CostructuredArrow F d) from initial_of_isCofiltered_costructuredArrow F exact isCofiltered_costructuredArrow_of_isCofiltered_of_exists F h₁ h₂
Mathlib/CategoryTheory/Filtered/Final.lean
108
117
theorem IsFilteredOrEmpty.of_exists_of_isFiltered_of_fullyFaithful [IsFilteredOrEmpty D] [F.Full] [F.Faithful] (h : ∀ d, ∃ c, Nonempty (d ⟶ F.obj c)) : IsFilteredOrEmpty C where cocone_objs c c' := by
obtain ⟨c₀, ⟨f⟩⟩ := h (IsFiltered.max (F.obj c) (F.obj c')) exact ⟨c₀, F.preimage (IsFiltered.leftToMax _ _ ≫ f), F.preimage (IsFiltered.rightToMax _ _ ≫ f), trivial⟩ cocone_maps {c c'} f g := by obtain ⟨c₀, ⟨f₀⟩⟩ := h (IsFiltered.coeq (F.map f) (F.map g)) refine ⟨_, F.preimage (IsFiltered.coeqHom (F.map f) (F.map g) ≫ f₀), F.map_injective ?_⟩ simp [reassoc_of% (IsFiltered.coeq_condition (F.map f) (F.map g))]
0
import Mathlib.Probability.Notation import Mathlib.Probability.Integration import Mathlib.MeasureTheory.Function.L2Space #align_import probability.variance from "leanprover-community/mathlib"@"f0c8bf9245297a541f468be517f1bde6195105e9" open MeasureTheory Filter Finset noncomputable section open scoped MeasureTheory ProbabilityTheory ENNReal NNReal namespace ProbabilityTheory -- Porting note: this lemma replaces `ENNReal.toReal_bit0`, which does not exist in Lean 4 private lemma coe_two : ENNReal.toReal 2 = (2 : ℝ) := rfl -- Porting note: Consider if `evariance` or `eVariance` is better. Also, -- consider `eVariationOn` in `Mathlib.Analysis.BoundedVariation`. def evariance {Ω : Type*} {_ : MeasurableSpace Ω} (X : Ω → ℝ) (μ : Measure Ω) : ℝ≥0∞ := ∫⁻ ω, (‖X ω - μ[X]‖₊ : ℝ≥0∞) ^ 2 ∂μ #align probability_theory.evariance ProbabilityTheory.evariance def variance {Ω : Type*} {_ : MeasurableSpace Ω} (X : Ω → ℝ) (μ : Measure Ω) : ℝ := (evariance X μ).toReal #align probability_theory.variance ProbabilityTheory.variance variable {Ω : Type*} {m : MeasurableSpace Ω} {X : Ω → ℝ} {μ : Measure Ω}
Mathlib/Probability/Variance.lean
65
72
theorem _root_.MeasureTheory.Memℒp.evariance_lt_top [IsFiniteMeasure μ] (hX : Memℒp X 2 μ) : evariance X μ < ∞ := by
have := ENNReal.pow_lt_top (hX.sub <| memℒp_const <| μ[X]).2 2 rw [snorm_eq_lintegral_rpow_nnnorm two_ne_zero ENNReal.two_ne_top, ← ENNReal.rpow_two] at this simp only [coe_two, Pi.sub_apply, ENNReal.one_toReal, one_div] at this rw [← ENNReal.rpow_mul, inv_mul_cancel (two_ne_zero : (2 : ℝ) ≠ 0), ENNReal.rpow_one] at this simp_rw [ENNReal.rpow_two] at this exact this
0
import Mathlib.Algebra.Group.Subgroup.Basic import Mathlib.Algebra.Group.Submonoid.Membership import Mathlib.Data.Finite.Card #align_import group_theory.subgroup.finite from "leanprover-community/mathlib"@"f93c11933efbc3c2f0299e47b8ff83e9b539cbf6" variable {G : Type*} [Group G] variable {A : Type*} [AddGroup A] namespace Subgroup namespace Subgroup section Normalizer
Mathlib/Algebra/Group/Subgroup/Finite.lean
259
270
theorem mem_normalizer_fintype {S : Set G} [Finite S] {x : G} (h : ∀ n, n ∈ S → x * n * x⁻¹ ∈ S) : x ∈ Subgroup.setNormalizer S := by
haveI := Classical.propDecidable; cases nonempty_fintype S; haveI := Set.fintypeImage S fun n => x * n * x⁻¹; exact fun n => ⟨h n, fun h₁ => have heq : (fun n => x * n * x⁻¹) '' S = S := Set.eq_of_subset_of_card_le (fun n ⟨y, hy⟩ => hy.2 ▸ h y hy.1) (by rw [Set.card_image_of_injective S conj_injective]) have : x * n * x⁻¹ ∈ (fun n => x * n * x⁻¹) '' S := heq.symm ▸ h₁ let ⟨y, hy⟩ := this conj_injective hy.2 ▸ hy.1⟩
0
import Mathlib.CategoryTheory.Limits.Preserves.Shapes.BinaryProducts import Mathlib.CategoryTheory.Limits.Preserves.Shapes.Products import Mathlib.CategoryTheory.Limits.ConcreteCategory import Mathlib.CategoryTheory.Limits.Shapes.Types import Mathlib.CategoryTheory.Limits.Shapes.Multiequalizer import Mathlib.CategoryTheory.Limits.Shapes.Kernels universe w v u t r namespace CategoryTheory.Limits.Concrete attribute [local instance] ConcreteCategory.instFunLike ConcreteCategory.hasCoeToSort variable {C : Type u} [Category.{v} C] section Products section Multiequalizer variable [ConcreteCategory.{max w v} C]
Mathlib/CategoryTheory/Limits/Shapes/ConcreteCategory.lean
252
259
theorem multiequalizer_ext {I : MulticospanIndex.{w} C} [HasMultiequalizer I] [PreservesLimit I.multicospan (forget C)] (x y : ↑(multiequalizer I)) (h : ∀ t : I.L, Multiequalizer.ι I t x = Multiequalizer.ι I t y) : x = y := by
apply Concrete.limit_ext rintro (a | b) · apply h · rw [← limit.w I.multicospan (WalkingMulticospan.Hom.fst b), comp_apply, comp_apply] simp [h]
0
import Mathlib.Analysis.Calculus.LineDeriv.Basic import Mathlib.Analysis.Calculus.FDeriv.Measurable open MeasureTheory variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] [LocallyCompactSpace 𝕜] {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] [MeasurableSpace E] [OpensMeasurableSpace E] {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] [CompleteSpace F] {f : E → F} {v : E} theorem measurableSet_lineDifferentiableAt (hf : Continuous f) : MeasurableSet {x : E | LineDifferentiableAt 𝕜 f x v} := by borelize 𝕜 let g : E → 𝕜 → F := fun x t ↦ f (x + t • v) have hg : Continuous g.uncurry := by apply hf.comp; continuity exact measurable_prod_mk_right (measurableSet_of_differentiableAt_with_param 𝕜 hg) theorem measurable_lineDeriv [MeasurableSpace F] [BorelSpace F] (hf : Continuous f) : Measurable (fun x ↦ lineDeriv 𝕜 f x v) := by borelize 𝕜 let g : E → 𝕜 → F := fun x t ↦ f (x + t • v) have hg : Continuous g.uncurry := by apply hf.comp; continuity exact (measurable_deriv_with_param hg).comp measurable_prod_mk_right theorem stronglyMeasurable_lineDeriv [SecondCountableTopologyEither E F] (hf : Continuous f) : StronglyMeasurable (fun x ↦ lineDeriv 𝕜 f x v) := by borelize 𝕜 let g : E → 𝕜 → F := fun x t ↦ f (x + t • v) have hg : Continuous g.uncurry := by apply hf.comp; continuity exact (stronglyMeasurable_deriv_with_param hg).comp_measurable measurable_prod_mk_right theorem aemeasurable_lineDeriv [MeasurableSpace F] [BorelSpace F] (hf : Continuous f) (μ : Measure E) : AEMeasurable (fun x ↦ lineDeriv 𝕜 f x v) μ := (measurable_lineDeriv hf).aemeasurable theorem aestronglyMeasurable_lineDeriv [SecondCountableTopologyEither E F] (hf : Continuous f) (μ : Measure E) : AEStronglyMeasurable (fun x ↦ lineDeriv 𝕜 f x v) μ := (stronglyMeasurable_lineDeriv hf).aestronglyMeasurable variable [SecondCountableTopology E]
Mathlib/Analysis/Calculus/LineDeriv/Measurable.lean
72
81
theorem measurableSet_lineDifferentiableAt_uncurry (hf : Continuous f) : MeasurableSet {p : E × E | LineDifferentiableAt 𝕜 f p.1 p.2} := by
borelize 𝕜 let g : (E × E) → 𝕜 → F := fun p t ↦ f (p.1 + t • p.2) have : Continuous g.uncurry := hf.comp <| (continuous_fst.comp continuous_fst).add <| continuous_snd.smul (continuous_snd.comp continuous_fst) have M_meas : MeasurableSet {q : (E × E) × 𝕜 | DifferentiableAt 𝕜 (g q.1) q.2} := measurableSet_of_differentiableAt_with_param 𝕜 this exact measurable_prod_mk_right M_meas
0
import Mathlib.Analysis.Complex.AbsMax import Mathlib.Analysis.Complex.RemovableSingularity #align_import analysis.complex.schwarz from "leanprover-community/mathlib"@"3f655f5297b030a87d641ad4e825af8d9679eb0b" open Metric Set Function Filter TopologicalSpace open scoped Topology namespace Complex section Space variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℂ E] {R R₁ R₂ : ℝ} {f : ℂ → E} {c z z₀ : ℂ} theorem schwarz_aux {f : ℂ → ℂ} (hd : DifferentiableOn ℂ f (ball c R₁)) (h_maps : MapsTo f (ball c R₁) (ball (f c) R₂)) (hz : z ∈ ball c R₁) : ‖dslope f c z‖ ≤ R₂ / R₁ := by have hR₁ : 0 < R₁ := nonempty_ball.1 ⟨z, hz⟩ suffices ∀ᶠ r in 𝓝[<] R₁, ‖dslope f c z‖ ≤ R₂ / r by refine ge_of_tendsto ?_ this exact (tendsto_const_nhds.div tendsto_id hR₁.ne').mono_left nhdsWithin_le_nhds rw [mem_ball] at hz filter_upwards [Ioo_mem_nhdsWithin_Iio ⟨hz, le_rfl⟩] with r hr have hr₀ : 0 < r := dist_nonneg.trans_lt hr.1 replace hd : DiffContOnCl ℂ (dslope f c) (ball c r) := by refine DifferentiableOn.diffContOnCl ?_ rw [closure_ball c hr₀.ne'] exact ((differentiableOn_dslope <| ball_mem_nhds _ hR₁).mpr hd).mono (closedBall_subset_ball hr.2) refine norm_le_of_forall_mem_frontier_norm_le isBounded_ball hd ?_ ?_ · rw [frontier_ball c hr₀.ne'] intro z hz have hz' : z ≠ c := ne_of_mem_sphere hz hr₀.ne' rw [dslope_of_ne _ hz', slope_def_module, norm_smul, norm_inv, mem_sphere_iff_norm.1 hz, ← div_eq_inv_mul, div_le_div_right hr₀, ← dist_eq_norm] exact le_of_lt (h_maps (mem_ball.2 (by rw [mem_sphere.1 hz]; exact hr.2))) · rw [closure_ball c hr₀.ne', mem_closedBall] exact hr.1.le #align complex.schwarz_aux Complex.schwarz_aux
Mathlib/Analysis/Complex/Schwarz.lean
92
108
theorem norm_dslope_le_div_of_mapsTo_ball (hd : DifferentiableOn ℂ f (ball c R₁)) (h_maps : MapsTo f (ball c R₁) (ball (f c) R₂)) (hz : z ∈ ball c R₁) : ‖dslope f c z‖ ≤ R₂ / R₁ := by
have hR₁ : 0 < R₁ := nonempty_ball.1 ⟨z, hz⟩ have hR₂ : 0 < R₂ := nonempty_ball.1 ⟨f z, h_maps hz⟩ rcases eq_or_ne (dslope f c z) 0 with hc | hc · rw [hc, norm_zero]; exact div_nonneg hR₂.le hR₁.le rcases exists_dual_vector ℂ _ hc with ⟨g, hg, hgf⟩ have hg' : ‖g‖₊ = 1 := NNReal.eq hg have hg₀ : ‖g‖₊ ≠ 0 := by simpa only [hg'] using one_ne_zero calc ‖dslope f c z‖ = ‖dslope (g ∘ f) c z‖ := by rw [g.dslope_comp, hgf, RCLike.norm_ofReal, abs_norm] exact fun _ => hd.differentiableAt (ball_mem_nhds _ hR₁) _ ≤ R₂ / R₁ := by refine schwarz_aux (g.differentiable.comp_differentiableOn hd) (MapsTo.comp ?_ h_maps) hz simpa only [hg', NNReal.coe_one, one_mul] using g.lipschitz.mapsTo_ball hg₀ (f c) R₂
0
import Mathlib.Analysis.Normed.Field.Basic #align_import topology.metric_space.cau_seq_filter from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" universe u v open Set Filter open scoped Classical open Topology variable {β : Type v} theorem CauSeq.tendsto_limit [NormedRing β] [hn : IsAbsoluteValue (norm : β → ℝ)] (f : CauSeq β norm) [CauSeq.IsComplete β norm] : Tendsto f atTop (𝓝 f.lim) := tendsto_nhds.mpr (by intro s os lfs suffices ∃ a : ℕ, ∀ b : ℕ, b ≥ a → f b ∈ s by simpa using this rcases Metric.isOpen_iff.1 os _ lfs with ⟨ε, ⟨hε, hεs⟩⟩ cases' Setoid.symm (CauSeq.equiv_lim f) _ hε with N hN exists N intro b hb apply hεs dsimp [Metric.ball] rw [dist_comm, dist_eq_norm] solve_by_elim) #align cau_seq.tendsto_limit CauSeq.tendsto_limit variable [NormedField β] open Metric theorem CauchySeq.isCauSeq {f : ℕ → β} (hf : CauchySeq f) : IsCauSeq norm f := by cases' cauchy_iff.1 hf with hf1 hf2 intro ε hε rcases hf2 { x | dist x.1 x.2 < ε } (dist_mem_uniformity hε) with ⟨t, ⟨ht, htsub⟩⟩ simp only [mem_map, mem_atTop_sets, ge_iff_le, mem_preimage] at ht; cases' ht with N hN exists N intro j hj rw [← dist_eq_norm] apply @htsub (f j, f N) apply Set.mk_mem_prod <;> solve_by_elim [le_refl] #align cauchy_seq.is_cau_seq CauchySeq.isCauSeq
Mathlib/Topology/MetricSpace/CauSeqFilter.lean
67
82
theorem CauSeq.cauchySeq (f : CauSeq β norm) : CauchySeq f := by
refine cauchy_iff.2 ⟨by infer_instance, fun s hs => ?_⟩ rcases mem_uniformity_dist.1 hs with ⟨ε, ⟨hε, hεs⟩⟩ cases' CauSeq.cauchy₂ f hε with N hN exists { n | n ≥ N }.image f simp only [exists_prop, mem_atTop_sets, mem_map, mem_image, ge_iff_le, mem_setOf_eq] constructor · exists N intro b hb exists b · rintro ⟨a, b⟩ ⟨⟨a', ⟨ha'1, ha'2⟩⟩, ⟨b', ⟨hb'1, hb'2⟩⟩⟩ dsimp at ha'1 ha'2 hb'1 hb'2 rw [← ha'2, ← hb'2] apply hεs rw [dist_eq_norm] apply hN <;> assumption
0
import Mathlib.Data.Complex.Basic import Mathlib.MeasureTheory.Integral.CircleIntegral #align_import measure_theory.integral.circle_transform from "leanprover-community/mathlib"@"d11893b411025250c8e61ff2f12ccbd7ee35ab15" open Set MeasureTheory Metric Filter Function open scoped Interval Real noncomputable section variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℂ E] (R : ℝ) (z w : ℂ) namespace Complex def circleTransform (f : ℂ → E) (θ : ℝ) : E := (2 * ↑π * I)⁻¹ • deriv (circleMap z R) θ • (circleMap z R θ - w)⁻¹ • f (circleMap z R θ) #align complex.circle_transform Complex.circleTransform def circleTransformDeriv (f : ℂ → E) (θ : ℝ) : E := (2 * ↑π * I)⁻¹ • deriv (circleMap z R) θ • ((circleMap z R θ - w) ^ 2)⁻¹ • f (circleMap z R θ) #align complex.circle_transform_deriv Complex.circleTransformDeriv theorem circleTransformDeriv_periodic (f : ℂ → E) : Periodic (circleTransformDeriv R z w f) (2 * π) := by have := periodic_circleMap simp_rw [Periodic] at * intro x simp_rw [circleTransformDeriv, this] congr 2 simp [this] #align complex.circle_transform_deriv_periodic Complex.circleTransformDeriv_periodic theorem circleTransformDeriv_eq (f : ℂ → E) : circleTransformDeriv R z w f = fun θ => (circleMap z R θ - w)⁻¹ • circleTransform R z w f θ := by ext simp_rw [circleTransformDeriv, circleTransform, ← mul_smul, ← mul_assoc] ring_nf rw [inv_pow] congr ring #align complex.circle_transform_deriv_eq Complex.circleTransformDeriv_eq theorem integral_circleTransform (f : ℂ → E) : (∫ θ : ℝ in (0)..2 * π, circleTransform R z w f θ) = (2 * ↑π * I)⁻¹ • ∮ z in C(z, R), (z - w)⁻¹ • f z := by simp_rw [circleTransform, circleIntegral, deriv_circleMap, circleMap] simp #align complex.integral_circle_transform Complex.integral_circleTransform theorem continuous_circleTransform {R : ℝ} (hR : 0 < R) {f : ℂ → E} {z w : ℂ} (hf : ContinuousOn f <| sphere z R) (hw : w ∈ ball z R) : Continuous (circleTransform R z w f) := by apply_rules [Continuous.smul, continuous_const] · simp_rw [deriv_circleMap] apply_rules [Continuous.mul, continuous_circleMap 0 R, continuous_const] · exact continuous_circleMap_inv hw · apply ContinuousOn.comp_continuous hf (continuous_circleMap z R) exact fun _ => (circleMap_mem_sphere _ hR.le) _ #align complex.continuous_circle_transform Complex.continuous_circleTransform theorem continuous_circleTransformDeriv {R : ℝ} (hR : 0 < R) {f : ℂ → E} {z w : ℂ} (hf : ContinuousOn f (sphere z R)) (hw : w ∈ ball z R) : Continuous (circleTransformDeriv R z w f) := by rw [circleTransformDeriv_eq] exact (continuous_circleMap_inv hw).smul (continuous_circleTransform hR hf hw) #align complex.continuous_circle_transform_deriv Complex.continuous_circleTransformDeriv def circleTransformBoundingFunction (R : ℝ) (z : ℂ) (w : ℂ × ℝ) : ℂ := circleTransformDeriv R z w.1 (fun _ => 1) w.2 #align complex.circle_transform_bounding_function Complex.circleTransformBoundingFunction theorem continuousOn_prod_circle_transform_function {R r : ℝ} (hr : r < R) {z : ℂ} : ContinuousOn (fun w : ℂ × ℝ => (circleMap z R w.snd - w.fst)⁻¹ ^ 2) (closedBall z r ×ˢ univ) := by simp_rw [← one_div] apply_rules [ContinuousOn.pow, ContinuousOn.div, continuousOn_const] · exact ((continuous_circleMap z R).comp_continuousOn continuousOn_snd).sub continuousOn_fst · rintro ⟨a, b⟩ ⟨ha, -⟩ have ha2 : a ∈ ball z R := closedBall_subset_ball hr ha exact sub_ne_zero.2 (circleMap_ne_mem_ball ha2 b) #align complex.continuous_on_prod_circle_transform_function Complex.continuousOn_prod_circle_transform_function theorem continuousOn_abs_circleTransformBoundingFunction {R r : ℝ} (hr : r < R) (z : ℂ) : ContinuousOn (abs ∘ circleTransformBoundingFunction R z) (closedBall z r ×ˢ univ) := by have : ContinuousOn (circleTransformBoundingFunction R z) (closedBall z r ×ˢ univ) := by apply_rules [ContinuousOn.smul, continuousOn_const] · simp only [deriv_circleMap] apply_rules [ContinuousOn.mul, (continuous_circleMap 0 R).comp_continuousOn continuousOn_snd, continuousOn_const] · simpa only [inv_pow] using continuousOn_prod_circle_transform_function hr exact this.norm #align complex.continuous_on_abs_circle_transform_bounding_function Complex.continuousOn_abs_circleTransformBoundingFunction
Mathlib/MeasureTheory/Integral/CircleTransform.lean
120
129
theorem abs_circleTransformBoundingFunction_le {R r : ℝ} (hr : r < R) (hr' : 0 ≤ r) (z : ℂ) : ∃ x : closedBall z r ×ˢ [[0, 2 * π]], ∀ y : closedBall z r ×ˢ [[0, 2 * π]], abs (circleTransformBoundingFunction R z y) ≤ abs (circleTransformBoundingFunction R z x) := by
have cts := continuousOn_abs_circleTransformBoundingFunction hr z have comp : IsCompact (closedBall z r ×ˢ [[0, 2 * π]]) := by apply_rules [IsCompact.prod, ProperSpace.isCompact_closedBall z r, isCompact_uIcc] have none : (closedBall z r ×ˢ [[0, 2 * π]]).Nonempty := (nonempty_closedBall.2 hr').prod nonempty_uIcc have := IsCompact.exists_isMaxOn comp none (cts.mono <| prod_mono_right (subset_univ _)) simpa [isMaxOn_iff] using this
0
import Mathlib.Algebra.Field.ULift import Mathlib.Algebra.MvPolynomial.Cardinal import Mathlib.Data.Nat.Factorization.PrimePow import Mathlib.Data.Rat.Denumerable import Mathlib.FieldTheory.Finite.GaloisField import Mathlib.Logic.Equiv.TransferInstance import Mathlib.RingTheory.Localization.Cardinality import Mathlib.SetTheory.Cardinal.Divisibility #align_import field_theory.cardinality from "leanprover-community/mathlib"@"0723536a0522d24fc2f159a096fb3304bef77472" local notation "‖" x "‖" => Fintype.card x open scoped Cardinal nonZeroDivisors universe u theorem Fintype.isPrimePow_card_of_field {α} [Fintype α] [Field α] : IsPrimePow ‖α‖ := by -- TODO: `Algebra` version of `CharP.exists`, of type `∀ p, Algebra (ZMod p) α` cases' CharP.exists α with p _ haveI hp := Fact.mk (CharP.char_is_prime α p) letI : Algebra (ZMod p) α := ZMod.algebra _ _ let b := IsNoetherian.finsetBasis (ZMod p) α rw [Module.card_fintype b, ZMod.card, isPrimePow_pow_iff] · exact hp.1.isPrimePow rw [← FiniteDimensional.finrank_eq_card_basis b] exact FiniteDimensional.finrank_pos.ne' #align fintype.is_prime_pow_card_of_field Fintype.isPrimePow_card_of_field
Mathlib/FieldTheory/Cardinality.lean
53
57
theorem Fintype.nonempty_field_iff {α} [Fintype α] : Nonempty (Field α) ↔ IsPrimePow ‖α‖ := by
refine ⟨fun ⟨h⟩ => Fintype.isPrimePow_card_of_field, ?_⟩ rintro ⟨p, n, hp, hn, hα⟩ haveI := Fact.mk hp.nat_prime exact ⟨(Fintype.equivOfCardEq ((GaloisField.card p n hn.ne').trans hα)).symm.field⟩
0
import Mathlib.MeasureTheory.Integral.Lebesgue import Mathlib.Analysis.MeanInequalities import Mathlib.Analysis.MeanInequalitiesPow import Mathlib.MeasureTheory.Function.SpecialFunctions.Basic #align_import measure_theory.integral.mean_inequalities from "leanprover-community/mathlib"@"13bf7613c96a9fd66a81b9020a82cad9a6ea1fcf" section LIntegral noncomputable section open scoped Classical open NNReal ENNReal MeasureTheory Finset set_option linter.uppercaseLean3 false variable {α : Type*} [MeasurableSpace α] {μ : Measure α} namespace ENNReal
Mathlib/MeasureTheory/Integral/MeanInequalities.lean
66
79
theorem lintegral_mul_le_one_of_lintegral_rpow_eq_one {p q : ℝ} (hpq : p.IsConjExponent q) {f g : α → ℝ≥0∞} (hf : AEMeasurable f μ) (hf_norm : ∫⁻ a, f a ^ p ∂μ = 1) (hg_norm : ∫⁻ a, g a ^ q ∂μ = 1) : (∫⁻ a, (f * g) a ∂μ) ≤ 1 := by
calc (∫⁻ a : α, (f * g) a ∂μ) ≤ ∫⁻ a : α, f a ^ p / ENNReal.ofReal p + g a ^ q / ENNReal.ofReal q ∂μ := lintegral_mono fun a => young_inequality (f a) (g a) hpq _ = 1 := by simp only [div_eq_mul_inv] rw [lintegral_add_left'] · rw [lintegral_mul_const'' _ (hf.pow_const p), lintegral_mul_const', hf_norm, hg_norm, one_mul, one_mul, hpq.inv_add_inv_conj_ennreal] simp [hpq.symm.pos] · exact (hf.pow_const _).mul_const _
0
import Mathlib.RingTheory.GradedAlgebra.HomogeneousIdeal #align_import ring_theory.graded_algebra.radical from "leanprover-community/mathlib"@"f1944b30c97c5eb626e498307dec8b022a05bd0a" open GradedRing DirectSum SetLike Finset variable {ι σ A : Type*} variable [CommRing A] variable [LinearOrderedCancelAddCommMonoid ι] variable [SetLike σ A] [AddSubmonoidClass σ A] {𝒜 : ι → σ} [GradedRing 𝒜] -- Porting note: This proof needs a long time to elaborate
Mathlib/RingTheory/GradedAlgebra/Radical.lean
47
136
theorem Ideal.IsHomogeneous.isPrime_of_homogeneous_mem_or_mem {I : Ideal A} (hI : I.IsHomogeneous 𝒜) (I_ne_top : I ≠ ⊤) (homogeneous_mem_or_mem : ∀ {x y : A}, Homogeneous 𝒜 x → Homogeneous 𝒜 y → x * y ∈ I → x ∈ I ∨ y ∈ I) : Ideal.IsPrime I := ⟨I_ne_top, by intro x y hxy by_contra! rid obtain ⟨rid₁, rid₂⟩ := rid classical /- The idea of the proof is the following : since `x * y ∈ I` and `I` homogeneous, then `proj i (x * y) ∈ I` for any `i : ι`. Then consider two sets `{i ∈ x.support | xᵢ ∉ I}` and `{j ∈ y.support | yⱼ ∉ J}`; let `max₁, max₂` be the maximum of the two sets, then `proj (max₁ + max₂) (x * y) ∈ I`. Then, `proj max₁ x ∉ I` and `proj max₂ j ∉ I` but `proj i x ∈ I` for all `max₁ < i` and `proj j y ∈ I` for all `max₂ < j`. ` proj (max₁ + max₂) (x * y)` `= ∑ {(i, j) ∈ supports | i + j = max₁ + max₂}, xᵢ * yⱼ` `= proj max₁ x * proj max₂ y` ` + ∑ {(i, j) ∈ supports \ {(max₁, max₂)} | i + j = max₁ + max₂}, xᵢ * yⱼ`. This is a contradiction, because both `proj (max₁ + max₂) (x * y) ∈ I` and the sum on the right hand side is in `I` however `proj max₁ x * proj max₂ y` is not in `I`. -/ set set₁ := (decompose 𝒜 x).support.filter (fun i => proj 𝒜 i x ∉ I) with set₁_eq set set₂ := (decompose 𝒜 y).support.filter (fun i => proj 𝒜 i y ∉ I) with set₂_eq have nonempty : ∀ x : A, x ∉ I → ((decompose 𝒜 x).support.filter (fun i => proj 𝒜 i x ∉ I)).Nonempty := by
intro x hx rw [filter_nonempty_iff] contrapose! hx simp_rw [proj_apply] at hx rw [← sum_support_decompose 𝒜 x] exact Ideal.sum_mem _ hx set max₁ := set₁.max' (nonempty x rid₁) set max₂ := set₂.max' (nonempty y rid₂) have mem_max₁ : max₁ ∈ set₁ := max'_mem set₁ (nonempty x rid₁) have mem_max₂ : max₂ ∈ set₂ := max'_mem set₂ (nonempty y rid₂) replace hxy : proj 𝒜 (max₁ + max₂) (x * y) ∈ I := hI _ hxy have mem_I : proj 𝒜 max₁ x * proj 𝒜 max₂ y ∈ I := by set antidiag := ((decompose 𝒜 x).support ×ˢ (decompose 𝒜 y).support).filter (fun z : ι × ι => z.1 + z.2 = max₁ + max₂) with ha have mem_antidiag : (max₁, max₂) ∈ antidiag := by simp only [antidiag, add_sum_erase, mem_filter, mem_product] exact ⟨⟨mem_of_mem_filter _ mem_max₁, mem_of_mem_filter _ mem_max₂⟩, trivial⟩ have eq_add_sum := calc proj 𝒜 (max₁ + max₂) (x * y) = ∑ ij ∈ antidiag, proj 𝒜 ij.1 x * proj 𝒜 ij.2 y := by simp_rw [ha, proj_apply, DirectSum.decompose_mul, DirectSum.coe_mul_apply 𝒜] _ = proj 𝒜 max₁ x * proj 𝒜 max₂ y + ∑ ij ∈ antidiag.erase (max₁, max₂), proj 𝒜 ij.1 x * proj 𝒜 ij.2 y := (add_sum_erase _ _ mem_antidiag).symm rw [eq_sub_of_add_eq eq_add_sum.symm] refine Ideal.sub_mem _ hxy (Ideal.sum_mem _ fun z H => ?_) rcases z with ⟨i, j⟩ simp only [antidiag, mem_erase, Prod.mk.inj_iff, Ne, mem_filter, mem_product] at H rcases H with ⟨H₁, ⟨H₂, H₃⟩, H₄⟩ have max_lt : max₁ < i ∨ max₂ < j := by rcases lt_trichotomy max₁ i with (h | rfl | h) · exact Or.inl h · refine False.elim (H₁ ⟨rfl, add_left_cancel H₄⟩) · apply Or.inr have := add_lt_add_right h j rw [H₄] at this exact lt_of_add_lt_add_left this cases' max_lt with max_lt max_lt · -- in this case `max₁ < i`, then `xᵢ ∈ I`; for otherwise `i ∈ set₁` then `i ≤ max₁`. have not_mem : i ∉ set₁ := fun h => lt_irrefl _ ((max'_lt_iff set₁ (nonempty x rid₁)).mp max_lt i h) rw [set₁_eq] at not_mem simp only [not_and, Classical.not_not, Ne, mem_filter] at not_mem exact Ideal.mul_mem_right _ I (not_mem H₂) · -- in this case `max₂ < j`, then `yⱼ ∈ I`; for otherwise `j ∈ set₂`, then `j ≤ max₂`. have not_mem : j ∉ set₂ := fun h => lt_irrefl _ ((max'_lt_iff set₂ (nonempty y rid₂)).mp max_lt j h) rw [set₂_eq] at not_mem simp only [not_and, Classical.not_not, Ne, mem_filter] at not_mem exact Ideal.mul_mem_left I _ (not_mem H₃) have not_mem_I : proj 𝒜 max₁ x * proj 𝒜 max₂ y ∉ I := by have neither_mem : proj 𝒜 max₁ x ∉ I ∧ proj 𝒜 max₂ y ∉ I := by rw [mem_filter] at mem_max₁ mem_max₂ exact ⟨mem_max₁.2, mem_max₂.2⟩ intro _rid cases' homogeneous_mem_or_mem ⟨max₁, SetLike.coe_mem _⟩ ⟨max₂, SetLike.coe_mem _⟩ mem_I with h h · apply neither_mem.1 h · apply neither_mem.2 h exact not_mem_I mem_I⟩
0
import Mathlib.Analysis.Calculus.Deriv.Inv import Mathlib.Analysis.NormedSpace.BallAction import Mathlib.Analysis.SpecialFunctions.ExpDeriv import Mathlib.Analysis.InnerProductSpace.Calculus import Mathlib.Analysis.InnerProductSpace.PiL2 import Mathlib.Geometry.Manifold.Algebra.LieGroup import Mathlib.Geometry.Manifold.Instances.Real import Mathlib.Geometry.Manifold.MFDeriv.Basic #align_import geometry.manifold.instances.sphere from "leanprover-community/mathlib"@"0dc4079202c28226b2841a51eb6d3cc2135bb80f" variable {E : Type*} [NormedAddCommGroup E] [InnerProductSpace ℝ E] noncomputable section open Metric FiniteDimensional Function open scoped Manifold section StereographicProjection variable (v : E) def stereoToFun (x : E) : (ℝ ∙ v)ᗮ := (2 / ((1 : ℝ) - innerSL ℝ v x)) • orthogonalProjection (ℝ ∙ v)ᗮ x #align stereo_to_fun stereoToFun variable {v} @[simp] theorem stereoToFun_apply (x : E) : stereoToFun v x = (2 / ((1 : ℝ) - innerSL ℝ v x)) • orthogonalProjection (ℝ ∙ v)ᗮ x := rfl #align stereo_to_fun_apply stereoToFun_apply theorem contDiffOn_stereoToFun : ContDiffOn ℝ ⊤ (stereoToFun v) {x : E | innerSL _ v x ≠ (1 : ℝ)} := by refine ContDiffOn.smul ?_ (orthogonalProjection (ℝ ∙ v)ᗮ).contDiff.contDiffOn refine contDiff_const.contDiffOn.div ?_ ?_ · exact (contDiff_const.sub (innerSL ℝ v).contDiff).contDiffOn · intro x h h' exact h (sub_eq_zero.mp h').symm #align cont_diff_on_stereo_to_fun contDiffOn_stereoToFun theorem continuousOn_stereoToFun : ContinuousOn (stereoToFun v) {x : E | innerSL _ v x ≠ (1 : ℝ)} := contDiffOn_stereoToFun.continuousOn #align continuous_on_stereo_to_fun continuousOn_stereoToFun variable (v) def stereoInvFunAux (w : E) : E := (‖w‖ ^ 2 + 4)⁻¹ • ((4 : ℝ) • w + (‖w‖ ^ 2 - 4) • v) #align stereo_inv_fun_aux stereoInvFunAux variable {v} @[simp] theorem stereoInvFunAux_apply (w : E) : stereoInvFunAux v w = (‖w‖ ^ 2 + 4)⁻¹ • ((4 : ℝ) • w + (‖w‖ ^ 2 - 4) • v) := rfl #align stereo_inv_fun_aux_apply stereoInvFunAux_apply theorem stereoInvFunAux_mem (hv : ‖v‖ = 1) {w : E} (hw : w ∈ (ℝ ∙ v)ᗮ) : stereoInvFunAux v w ∈ sphere (0 : E) 1 := by have h₁ : (0 : ℝ) < ‖w‖ ^ 2 + 4 := by positivity suffices ‖(4 : ℝ) • w + (‖w‖ ^ 2 - 4) • v‖ = ‖w‖ ^ 2 + 4 by simp only [mem_sphere_zero_iff_norm, norm_smul, Real.norm_eq_abs, abs_inv, this, abs_of_pos h₁, stereoInvFunAux_apply, inv_mul_cancel h₁.ne'] suffices ‖(4 : ℝ) • w + (‖w‖ ^ 2 - 4) • v‖ ^ 2 = (‖w‖ ^ 2 + 4) ^ 2 by simpa [sq_eq_sq_iff_abs_eq_abs, abs_of_pos h₁] using this rw [Submodule.mem_orthogonal_singleton_iff_inner_left] at hw simp [norm_add_sq_real, norm_smul, inner_smul_left, inner_smul_right, hw, mul_pow, Real.norm_eq_abs, hv] ring #align stereo_inv_fun_aux_mem stereoInvFunAux_mem theorem hasFDerivAt_stereoInvFunAux (v : E) : HasFDerivAt (stereoInvFunAux v) (ContinuousLinearMap.id ℝ E) 0 := by have h₀ : HasFDerivAt (fun w : E => ‖w‖ ^ 2) (0 : E →L[ℝ] ℝ) 0 := by convert (hasStrictFDerivAt_norm_sq (0 : E)).hasFDerivAt simp have h₁ : HasFDerivAt (fun w : E => (‖w‖ ^ 2 + 4)⁻¹) (0 : E →L[ℝ] ℝ) 0 := by convert (hasFDerivAt_inv _).comp _ (h₀.add (hasFDerivAt_const 4 0)) <;> simp have h₂ : HasFDerivAt (fun w => (4 : ℝ) • w + (‖w‖ ^ 2 - 4) • v) ((4 : ℝ) • ContinuousLinearMap.id ℝ E) 0 := by convert ((hasFDerivAt_const (4 : ℝ) 0).smul (hasFDerivAt_id 0)).add ((h₀.sub (hasFDerivAt_const (4 : ℝ) 0)).smul (hasFDerivAt_const v 0)) using 1 ext w simp convert h₁.smul h₂ using 1 ext w simp #align has_fderiv_at_stereo_inv_fun_aux hasFDerivAt_stereoInvFunAux theorem hasFDerivAt_stereoInvFunAux_comp_coe (v : E) : HasFDerivAt (stereoInvFunAux v ∘ ((↑) : (ℝ ∙ v)ᗮ → E)) (ℝ ∙ v)ᗮ.subtypeL 0 := by have : HasFDerivAt (stereoInvFunAux v) (ContinuousLinearMap.id ℝ E) ((ℝ ∙ v)ᗮ.subtypeL 0) := hasFDerivAt_stereoInvFunAux v convert this.comp (0 : (ℝ ∙ v)ᗮ) (by apply ContinuousLinearMap.hasFDerivAt) #align has_fderiv_at_stereo_inv_fun_aux_comp_coe hasFDerivAt_stereoInvFunAux_comp_coe
Mathlib/Geometry/Manifold/Instances/Sphere.lean
170
179
theorem contDiff_stereoInvFunAux : ContDiff ℝ ⊤ (stereoInvFunAux v) := by
have h₀ : ContDiff ℝ ⊤ fun w : E => ‖w‖ ^ 2 := contDiff_norm_sq ℝ have h₁ : ContDiff ℝ ⊤ fun w : E => (‖w‖ ^ 2 + 4)⁻¹ := by refine (h₀.add contDiff_const).inv ?_ intro x nlinarith have h₂ : ContDiff ℝ ⊤ fun w => (4 : ℝ) • w + (‖w‖ ^ 2 - 4) • v := by refine (contDiff_const.smul contDiff_id).add ?_ exact (h₀.sub contDiff_const).smul contDiff_const exact h₁.smul h₂
0
import Mathlib.Geometry.RingedSpace.PresheafedSpace import Mathlib.CategoryTheory.Limits.Final import Mathlib.Topology.Sheaves.Stalks #align_import algebraic_geometry.stalks from "leanprover-community/mathlib"@"d39590fc8728fbf6743249802486f8c91ffe07bc" noncomputable section universe v u v' u' open Opposite CategoryTheory CategoryTheory.Category CategoryTheory.Functor CategoryTheory.Limits AlgebraicGeometry TopologicalSpace variable {C : Type u} [Category.{v} C] [HasColimits C] -- Porting note: no tidy tactic -- attribute [local tidy] tactic.auto_cases_opens -- this could be replaced by -- attribute [local aesop safe cases (rule_sets := [CategoryTheory])] Opens -- but it doesn't appear to be needed here. open TopCat.Presheaf namespace AlgebraicGeometry.PresheafedSpace abbrev stalk (X : PresheafedSpace C) (x : X) : C := X.presheaf.stalk x set_option linter.uppercaseLean3 false in #align algebraic_geometry.PresheafedSpace.stalk AlgebraicGeometry.PresheafedSpace.stalk def stalkMap {X Y : PresheafedSpace.{_, _, v} C} (α : X ⟶ Y) (x : X) : Y.stalk (α.base x) ⟶ X.stalk x := (stalkFunctor C (α.base x)).map α.c ≫ X.presheaf.stalkPushforward C α.base x set_option linter.uppercaseLean3 false in #align algebraic_geometry.PresheafedSpace.stalk_map AlgebraicGeometry.PresheafedSpace.stalkMap @[elementwise, reassoc]
Mathlib/Geometry/RingedSpace/Stalks.lean
56
59
theorem stalkMap_germ {X Y : PresheafedSpace.{_, _, v} C} (α : X ⟶ Y) (U : Opens Y) (x : (Opens.map α.base).obj U) : Y.presheaf.germ ⟨α.base x.1, x.2⟩ ≫ stalkMap α ↑x = α.c.app (op U) ≫ X.presheaf.germ x := by
rw [stalkMap, stalkFunctor_map_germ_assoc, stalkPushforward_germ]
0
import Mathlib.Combinatorics.SetFamily.Shadow #align_import combinatorics.set_family.compression.uv from "leanprover-community/mathlib"@"6f8ab7de1c4b78a68ab8cf7dd83d549eb78a68a1" open Finset variable {α : Type*} theorem sup_sdiff_injOn [GeneralizedBooleanAlgebra α] (u v : α) : { x | Disjoint u x ∧ v ≤ x }.InjOn fun x => (x ⊔ u) \ v := by rintro a ha b hb hab have h : ((a ⊔ u) \ v) \ u ⊔ v = ((b ⊔ u) \ v) \ u ⊔ v := by dsimp at hab rw [hab] rwa [sdiff_sdiff_comm, ha.1.symm.sup_sdiff_cancel_right, sdiff_sdiff_comm, hb.1.symm.sup_sdiff_cancel_right, sdiff_sup_cancel ha.2, sdiff_sup_cancel hb.2] at h #align sup_sdiff_inj_on sup_sdiff_injOn -- The namespace is here to distinguish from other compressions. namespace UV section GeneralizedBooleanAlgebra variable [GeneralizedBooleanAlgebra α] [DecidableRel (@Disjoint α _ _)] [DecidableRel ((· ≤ ·) : α → α → Prop)] {s : Finset α} {u v a b : α} def compress (u v a : α) : α := if Disjoint u a ∧ v ≤ a then (a ⊔ u) \ v else a #align uv.compress UV.compress theorem compress_of_disjoint_of_le (hua : Disjoint u a) (hva : v ≤ a) : compress u v a = (a ⊔ u) \ v := if_pos ⟨hua, hva⟩ #align uv.compress_of_disjoint_of_le UV.compress_of_disjoint_of_le theorem compress_of_disjoint_of_le' (hva : Disjoint v a) (hua : u ≤ a) : compress u v ((a ⊔ v) \ u) = a := by rw [compress_of_disjoint_of_le disjoint_sdiff_self_right (le_sdiff.2 ⟨(le_sup_right : v ≤ a ⊔ v), hva.mono_right hua⟩), sdiff_sup_cancel (le_sup_of_le_left hua), hva.symm.sup_sdiff_cancel_right] #align uv.compress_of_disjoint_of_le' UV.compress_of_disjoint_of_le' @[simp] theorem compress_self (u a : α) : compress u u a = a := by unfold compress split_ifs with h · exact h.1.symm.sup_sdiff_cancel_right · rfl #align uv.compress_self UV.compress_self @[simp] theorem compress_sdiff_sdiff (a b : α) : compress (a \ b) (b \ a) b = a := by refine (compress_of_disjoint_of_le disjoint_sdiff_self_left sdiff_le).trans ?_ rw [sup_sdiff_self_right, sup_sdiff, disjoint_sdiff_self_right.sdiff_eq_left, sup_eq_right] exact sdiff_sdiff_le #align uv.compress_sdiff_sdiff UV.compress_sdiff_sdiff @[simp] theorem compress_idem (u v a : α) : compress u v (compress u v a) = compress u v a := by unfold compress split_ifs with h h' · rw [le_sdiff_iff.1 h'.2, sdiff_bot, sdiff_bot, sup_assoc, sup_idem] · rfl · rfl #align uv.compress_idem UV.compress_idem variable [DecidableEq α] def compression (u v : α) (s : Finset α) := (s.filter (compress u v · ∈ s)) ∪ (s.image <| compress u v).filter (· ∉ s) #align uv.compression UV.compression @[inherit_doc] scoped[FinsetFamily] notation "𝓒 " => UV.compression open scoped FinsetFamily def IsCompressed (u v : α) (s : Finset α) := 𝓒 u v s = s #align uv.is_compressed UV.IsCompressed
Mathlib/Combinatorics/SetFamily/Compression/UV.lean
142
151
theorem compress_injOn : Set.InjOn (compress u v) ↑(s.filter (compress u v · ∉ s)) := by
intro a ha b hb hab rw [mem_coe, mem_filter] at ha hb rw [compress] at ha hab split_ifs at ha hab with has · rw [compress] at hb hab split_ifs at hb hab with hbs · exact sup_sdiff_injOn u v has hbs hab · exact (hb.2 hb.1).elim · exact (ha.2 ha.1).elim
0
import Mathlib.Algebra.Order.Sub.Defs import Mathlib.Data.Finset.Basic import Mathlib.Order.Interval.Finset.Defs open Function namespace Finset class HasAntidiagonal (A : Type*) [AddMonoid A] where antidiagonal : A → Finset (A × A) mem_antidiagonal {n} {a} : a ∈ antidiagonal n ↔ a.fst + a.snd = n export HasAntidiagonal (antidiagonal mem_antidiagonal) attribute [simp] mem_antidiagonal variable {A : Type*} instance [AddMonoid A] : Subsingleton (HasAntidiagonal A) := ⟨by rintro ⟨a, ha⟩ ⟨b, hb⟩ congr with n xy rw [ha, hb]⟩ -- The goal of this lemma is to allow to rewrite antidiagonal -- when the decidability instances obsucate Lean lemma hasAntidiagonal_congr (A : Type*) [AddMonoid A] [H1 : HasAntidiagonal A] [H2 : HasAntidiagonal A] : H1.antidiagonal = H2.antidiagonal := by congr!; apply Subsingleton.elim theorem swap_mem_antidiagonal [AddCommMonoid A] [HasAntidiagonal A] {n : A} {xy : A × A}: xy.swap ∈ antidiagonal n ↔ xy ∈ antidiagonal n := by simp [add_comm] @[simp] theorem map_prodComm_antidiagonal [AddCommMonoid A] [HasAntidiagonal A] {n : A} : (antidiagonal n).map (Equiv.prodComm A A) = antidiagonal n := Finset.ext fun ⟨a, b⟩ => by simp [add_comm] @[simp] theorem map_swap_antidiagonal [AddCommMonoid A] [HasAntidiagonal A] {n : A} : (antidiagonal n).map ⟨Prod.swap, Prod.swap_injective⟩ = antidiagonal n := map_prodComm_antidiagonal #align finset.nat.map_swap_antidiagonal Finset.map_swap_antidiagonal section OrderedSub variable [CanonicallyOrderedAddCommMonoid A] [Sub A] [OrderedSub A] variable [ContravariantClass A A (· + ·) (· ≤ ·)] variable [HasAntidiagonal A] theorem filter_fst_eq_antidiagonal (n m : A) [DecidablePred (· = m)] [Decidable (m ≤ n)] : filter (fun x : A × A ↦ x.fst = m) (antidiagonal n) = if m ≤ n then {(m, n - m)} else ∅ := by ext ⟨a, b⟩ suffices a = m → (a + b = n ↔ m ≤ n ∧ b = n - m) by rw [mem_filter, mem_antidiagonal, apply_ite (fun n ↦ (a, b) ∈ n), mem_singleton, Prod.mk.inj_iff, ite_prop_iff_or] simpa [ ← and_assoc, @and_right_comm _ (a = _), and_congr_left_iff] rintro rfl constructor · rintro rfl exact ⟨le_add_right le_rfl, (add_tsub_cancel_left _ _).symm⟩ · rintro ⟨h, rfl⟩ exact add_tsub_cancel_of_le h #align finset.nat.filter_fst_eq_antidiagonal Finset.filter_fst_eq_antidiagonal
Mathlib/Data/Finset/Antidiagonal.lean
169
174
theorem filter_snd_eq_antidiagonal (n m : A) [DecidablePred (· = m)] [Decidable (m ≤ n)] : filter (fun x : A × A ↦ x.snd = m) (antidiagonal n) = if m ≤ n then {(n - m, m)} else ∅ := by
have : (fun x : A × A ↦ (x.snd = m)) ∘ Prod.swap = fun x : A × A ↦ x.fst = m := by ext; simp rw [← map_swap_antidiagonal, filter_map] simp [this, filter_fst_eq_antidiagonal, apply_ite (Finset.map _)]
0
import Mathlib.Combinatorics.SimpleGraph.Connectivity import Mathlib.Data.Nat.Lattice #align_import combinatorics.simple_graph.metric from "leanprover-community/mathlib"@"352ecfe114946c903338006dd3287cb5a9955ff2" namespace SimpleGraph variable {V : Type*} (G : SimpleGraph V) noncomputable def dist (u v : V) : ℕ := sInf (Set.range (Walk.length : G.Walk u v → ℕ)) #align simple_graph.dist SimpleGraph.dist variable {G} protected theorem Reachable.exists_walk_of_dist {u v : V} (hr : G.Reachable u v) : ∃ p : G.Walk u v, p.length = G.dist u v := Nat.sInf_mem (Set.range_nonempty_iff_nonempty.mpr hr) #align simple_graph.reachable.exists_walk_of_dist SimpleGraph.Reachable.exists_walk_of_dist protected theorem Connected.exists_walk_of_dist (hconn : G.Connected) (u v : V) : ∃ p : G.Walk u v, p.length = G.dist u v := (hconn u v).exists_walk_of_dist #align simple_graph.connected.exists_walk_of_dist SimpleGraph.Connected.exists_walk_of_dist theorem dist_le {u v : V} (p : G.Walk u v) : G.dist u v ≤ p.length := Nat.sInf_le ⟨p, rfl⟩ #align simple_graph.dist_le SimpleGraph.dist_le @[simp] theorem dist_eq_zero_iff_eq_or_not_reachable {u v : V} : G.dist u v = 0 ↔ u = v ∨ ¬G.Reachable u v := by simp [dist, Nat.sInf_eq_zero, Reachable] #align simple_graph.dist_eq_zero_iff_eq_or_not_reachable SimpleGraph.dist_eq_zero_iff_eq_or_not_reachable theorem dist_self {v : V} : dist G v v = 0 := by simp #align simple_graph.dist_self SimpleGraph.dist_self protected theorem Reachable.dist_eq_zero_iff {u v : V} (hr : G.Reachable u v) : G.dist u v = 0 ↔ u = v := by simp [hr] #align simple_graph.reachable.dist_eq_zero_iff SimpleGraph.Reachable.dist_eq_zero_iff protected theorem Reachable.pos_dist_of_ne {u v : V} (h : G.Reachable u v) (hne : u ≠ v) : 0 < G.dist u v := Nat.pos_of_ne_zero (by simp [h, hne]) #align simple_graph.reachable.pos_dist_of_ne SimpleGraph.Reachable.pos_dist_of_ne protected theorem Connected.dist_eq_zero_iff (hconn : G.Connected) {u v : V} : G.dist u v = 0 ↔ u = v := by simp [hconn u v] #align simple_graph.connected.dist_eq_zero_iff SimpleGraph.Connected.dist_eq_zero_iff protected theorem Connected.pos_dist_of_ne {u v : V} (hconn : G.Connected) (hne : u ≠ v) : 0 < G.dist u v := Nat.pos_of_ne_zero (by intro h; exact False.elim (hne (hconn.dist_eq_zero_iff.mp h))) #align simple_graph.connected.pos_dist_of_ne SimpleGraph.Connected.pos_dist_of_ne theorem dist_eq_zero_of_not_reachable {u v : V} (h : ¬G.Reachable u v) : G.dist u v = 0 := by simp [h] #align simple_graph.dist_eq_zero_of_not_reachable SimpleGraph.dist_eq_zero_of_not_reachable theorem nonempty_of_pos_dist {u v : V} (h : 0 < G.dist u v) : (Set.univ : Set (G.Walk u v)).Nonempty := by simpa [Set.range_nonempty_iff_nonempty, Set.nonempty_iff_univ_nonempty] using Nat.nonempty_of_pos_sInf h #align simple_graph.nonempty_of_pos_dist SimpleGraph.nonempty_of_pos_dist protected theorem Connected.dist_triangle (hconn : G.Connected) {u v w : V} : G.dist u w ≤ G.dist u v + G.dist v w := by obtain ⟨p, hp⟩ := hconn.exists_walk_of_dist u v obtain ⟨q, hq⟩ := hconn.exists_walk_of_dist v w rw [← hp, ← hq, ← Walk.length_append] apply dist_le #align simple_graph.connected.dist_triangle SimpleGraph.Connected.dist_triangle private theorem dist_comm_aux {u v : V} (h : G.Reachable u v) : G.dist u v ≤ G.dist v u := by obtain ⟨p, hp⟩ := h.symm.exists_walk_of_dist rw [← hp, ← Walk.length_reverse] apply dist_le theorem dist_comm {u v : V} : G.dist u v = G.dist v u := by by_cases h : G.Reachable u v · apply le_antisymm (dist_comm_aux h) (dist_comm_aux h.symm) · have h' : ¬G.Reachable v u := fun h' => absurd h'.symm h simp [h, h', dist_eq_zero_of_not_reachable] #align simple_graph.dist_comm SimpleGraph.dist_comm lemma dist_ne_zero_iff_ne_and_reachable {u v : V} : G.dist u v ≠ 0 ↔ u ≠ v ∧ G.Reachable u v := by rw [ne_eq, dist_eq_zero_iff_eq_or_not_reachable.not] push_neg; rfl lemma Reachable.of_dist_ne_zero {u v : V} (h : G.dist u v ≠ 0) : G.Reachable u v := (dist_ne_zero_iff_ne_and_reachable.mp h).2 lemma exists_walk_of_dist_ne_zero {u v : V} (h : G.dist u v ≠ 0) : ∃ p : G.Walk u v, p.length = G.dist u v := (Reachable.of_dist_ne_zero h).exists_walk_of_dist theorem dist_eq_one_iff_adj {u v : V} : G.dist u v = 1 ↔ G.Adj u v := by refine ⟨fun h ↦ ?_, fun h ↦ ?_⟩ · let ⟨w, hw⟩ := exists_walk_of_dist_ne_zero <| ne_zero_of_eq_one h exact w.adj_of_length_eq_one <| h ▸ hw · have : h.toWalk.length = 1 := Walk.length_cons _ _ exact ge_antisymm (h.reachable.pos_dist_of_ne h.ne) (this ▸ dist_le _)
Mathlib/Combinatorics/SimpleGraph/Metric.lean
144
153
theorem Walk.isPath_of_length_eq_dist {u v : V} (p : G.Walk u v) (hp : p.length = G.dist u v) : p.IsPath := by
classical have : p.bypass = p := by apply Walk.bypass_eq_self_of_length_le calc p.length _ = G.dist u v := hp _ ≤ p.bypass.length := dist_le p.bypass rw [← this] apply Walk.bypass_isPath
0
import Mathlib.Algebra.Quaternion import Mathlib.Tactic.Ring #align_import algebra.quaternion_basis from "leanprover-community/mathlib"@"3aa5b8a9ed7a7cabd36e6e1d022c9858ab8a8c2d" open Quaternion namespace QuaternionAlgebra structure Basis {R : Type*} (A : Type*) [CommRing R] [Ring A] [Algebra R A] (c₁ c₂ : R) where (i j k : A) i_mul_i : i * i = c₁ • (1 : A) j_mul_j : j * j = c₂ • (1 : A) i_mul_j : i * j = k j_mul_i : j * i = -k #align quaternion_algebra.basis QuaternionAlgebra.Basis variable {R : Type*} {A B : Type*} [CommRing R] [Ring A] [Ring B] [Algebra R A] [Algebra R B] variable {c₁ c₂ : R} namespace Basis @[ext] protected theorem ext ⦃q₁ q₂ : Basis A c₁ c₂⦄ (hi : q₁.i = q₂.i) (hj : q₁.j = q₂.j) : q₁ = q₂ := by cases q₁; rename_i q₁_i_mul_j _ cases q₂; rename_i q₂_i_mul_j _ congr rw [← q₁_i_mul_j, ← q₂_i_mul_j] congr #align quaternion_algebra.basis.ext QuaternionAlgebra.Basis.ext variable (R) @[simps i j k] protected def self : Basis ℍ[R,c₁,c₂] c₁ c₂ where i := ⟨0, 1, 0, 0⟩ i_mul_i := by ext <;> simp j := ⟨0, 0, 1, 0⟩ j_mul_j := by ext <;> simp k := ⟨0, 0, 0, 1⟩ i_mul_j := by ext <;> simp j_mul_i := by ext <;> simp #align quaternion_algebra.basis.self QuaternionAlgebra.Basis.self variable {R} instance : Inhabited (Basis ℍ[R,c₁,c₂] c₁ c₂) := ⟨Basis.self R⟩ variable (q : Basis A c₁ c₂) attribute [simp] i_mul_i j_mul_j i_mul_j j_mul_i @[simp] theorem i_mul_k : q.i * q.k = c₁ • q.j := by rw [← i_mul_j, ← mul_assoc, i_mul_i, smul_mul_assoc, one_mul] #align quaternion_algebra.basis.i_mul_k QuaternionAlgebra.Basis.i_mul_k @[simp] theorem k_mul_i : q.k * q.i = -c₁ • q.j := by rw [← i_mul_j, mul_assoc, j_mul_i, mul_neg, i_mul_k, neg_smul] #align quaternion_algebra.basis.k_mul_i QuaternionAlgebra.Basis.k_mul_i @[simp] theorem k_mul_j : q.k * q.j = c₂ • q.i := by rw [← i_mul_j, mul_assoc, j_mul_j, mul_smul_comm, mul_one] #align quaternion_algebra.basis.k_mul_j QuaternionAlgebra.Basis.k_mul_j @[simp] theorem j_mul_k : q.j * q.k = -c₂ • q.i := by rw [← i_mul_j, ← mul_assoc, j_mul_i, neg_mul, k_mul_j, neg_smul] #align quaternion_algebra.basis.j_mul_k QuaternionAlgebra.Basis.j_mul_k @[simp] theorem k_mul_k : q.k * q.k = -((c₁ * c₂) • (1 : A)) := by rw [← i_mul_j, mul_assoc, ← mul_assoc q.j _ _, j_mul_i, ← i_mul_j, ← mul_assoc, mul_neg, ← mul_assoc, i_mul_i, smul_mul_assoc, one_mul, neg_mul, smul_mul_assoc, j_mul_j, smul_smul] #align quaternion_algebra.basis.k_mul_k QuaternionAlgebra.Basis.k_mul_k def lift (x : ℍ[R,c₁,c₂]) : A := algebraMap R _ x.re + x.imI • q.i + x.imJ • q.j + x.imK • q.k #align quaternion_algebra.basis.lift QuaternionAlgebra.Basis.lift theorem lift_zero : q.lift (0 : ℍ[R,c₁,c₂]) = 0 := by simp [lift] #align quaternion_algebra.basis.lift_zero QuaternionAlgebra.Basis.lift_zero theorem lift_one : q.lift (1 : ℍ[R,c₁,c₂]) = 1 := by simp [lift] #align quaternion_algebra.basis.lift_one QuaternionAlgebra.Basis.lift_one
Mathlib/Algebra/QuaternionBasis.lean
120
122
theorem lift_add (x y : ℍ[R,c₁,c₂]) : q.lift (x + y) = q.lift x + q.lift y := by
simp only [lift, add_re, map_add, add_imI, add_smul, add_imJ, add_imK] abel
0
import Mathlib.Topology.Order.ProjIcc import Mathlib.Topology.CompactOpen import Mathlib.Topology.UnitInterval #align_import topology.path_connected from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" noncomputable section open scoped Classical open Topology Filter unitInterval Set Function variable {X Y : Type*} [TopologicalSpace X] [TopologicalSpace Y] {x y z : X} {ι : Type*} -- porting note (#5171): removed @[nolint has_nonempty_instance] structure Path (x y : X) extends C(I, X) where source' : toFun 0 = x target' : toFun 1 = y #align path Path instance Path.funLike : FunLike (Path x y) I X where coe := fun γ ↦ ⇑γ.toContinuousMap coe_injective' := fun γ₁ γ₂ h => by simp only [DFunLike.coe_fn_eq] at h cases γ₁; cases γ₂; congr -- Porting note (#10754): added this instance so that we can use `FunLike.coe` for `CoeFun` -- this also fixed very strange `simp` timeout issues instance Path.continuousMapClass : ContinuousMapClass (Path x y) I X where map_continuous := fun γ => show Continuous γ.toContinuousMap by continuity -- Porting note: not necessary in light of the instance above @[ext] protected theorem Path.ext : ∀ {γ₁ γ₂ : Path x y}, (γ₁ : I → X) = γ₂ → γ₁ = γ₂ := by rintro ⟨⟨x, h11⟩, h12, h13⟩ ⟨⟨x, h21⟩, h22, h23⟩ rfl rfl #align path.ext Path.ext namespace Path @[simp] theorem coe_mk_mk (f : I → X) (h₁) (h₂ : f 0 = x) (h₃ : f 1 = y) : ⇑(mk ⟨f, h₁⟩ h₂ h₃ : Path x y) = f := rfl #align path.coe_mk Path.coe_mk_mk -- Porting note: the name `Path.coe_mk` better refers to a new lemma below variable (γ : Path x y) @[continuity] protected theorem continuous : Continuous γ := γ.continuous_toFun #align path.continuous Path.continuous @[simp] protected theorem source : γ 0 = x := γ.source' #align path.source Path.source @[simp] protected theorem target : γ 1 = y := γ.target' #align path.target Path.target def simps.apply : I → X := γ #align path.simps.apply Path.simps.apply initialize_simps_projections Path (toFun → simps.apply, -toContinuousMap) @[simp] theorem coe_toContinuousMap : ⇑γ.toContinuousMap = γ := rfl #align path.coe_to_continuous_map Path.coe_toContinuousMap -- Porting note: this is needed because of the `Path.continuousMapClass` instance @[simp] theorem coe_mk : ⇑(γ : C(I, X)) = γ := rfl instance hasUncurryPath {X α : Type*} [TopologicalSpace X] {x y : α → X} : HasUncurry (∀ a : α, Path (x a) (y a)) (α × I) X := ⟨fun φ p => φ p.1 p.2⟩ #align path.has_uncurry_path Path.hasUncurryPath @[refl, simps] def refl (x : X) : Path x x where toFun _t := x continuous_toFun := continuous_const source' := rfl target' := rfl #align path.refl Path.refl @[simp] theorem refl_range {a : X} : range (Path.refl a) = {a} := by simp [Path.refl, CoeFun.coe] #align path.refl_range Path.refl_range @[symm, simps] def symm (γ : Path x y) : Path y x where toFun := γ ∘ σ continuous_toFun := by continuity source' := by simpa [-Path.target] using γ.target target' := by simpa [-Path.source] using γ.source #align path.symm Path.symm @[simp]
Mathlib/Topology/Connected/PathConnected.lean
178
181
theorem symm_symm (γ : Path x y) : γ.symm.symm = γ := by
ext t show γ (σ (σ t)) = γ t rw [unitInterval.symm_symm]
0
import Mathlib.GroupTheory.Sylow import Mathlib.GroupTheory.Transfer #align_import group_theory.schur_zassenhaus from "leanprover-community/mathlib"@"d57133e49cf06508700ef69030cd099917e0f0de" namespace Subgroup section SchurZassenhausAbelian open MulOpposite MulAction Subgroup.leftTransversals MemLeftTransversals variable {G : Type*} [Group G] (H : Subgroup G) [IsCommutative H] [FiniteIndex H] (α β : leftTransversals (H : Set G)) def QuotientDiff := Quotient (Setoid.mk (fun α β => diff (MonoidHom.id H) α β = 1) ⟨fun α => diff_self (MonoidHom.id H) α, fun h => by rw [← diff_inv, h, inv_one], fun h h' => by rw [← diff_mul_diff, h, h', one_mul]⟩) #align subgroup.quotient_diff Subgroup.QuotientDiff instance : Inhabited H.QuotientDiff := by dsimp [QuotientDiff] -- Porting note: Added `dsimp` infer_instance
Mathlib/GroupTheory/SchurZassenhaus.lean
48
62
theorem smul_diff_smul' [hH : Normal H] (g : Gᵐᵒᵖ) : diff (MonoidHom.id H) (g • α) (g • β) = ⟨g.unop⁻¹ * (diff (MonoidHom.id H) α β : H) * g.unop, hH.mem_comm ((congr_arg (· ∈ H) (mul_inv_cancel_left _ _)).mpr (SetLike.coe_mem _))⟩ := by
letI := H.fintypeQuotientOfFiniteIndex let ϕ : H →* H := { toFun := fun h => ⟨g.unop⁻¹ * h * g.unop, hH.mem_comm ((congr_arg (· ∈ H) (mul_inv_cancel_left _ _)).mpr (SetLike.coe_mem _))⟩ map_one' := by rw [Subtype.ext_iff, coe_mk, coe_one, mul_one, inv_mul_self] map_mul' := fun h₁ h₂ => by simp only [Subtype.ext_iff, coe_mk, coe_mul, mul_assoc, mul_inv_cancel_left] } refine (Fintype.prod_equiv (MulAction.toPerm g).symm _ _ fun x ↦ ?_).trans (map_prod ϕ _ _).symm simp only [ϕ, smul_apply_eq_smul_apply_inv_smul, smul_eq_mul_unop, mul_inv_rev, mul_assoc, MonoidHom.id_apply, toPerm_symm_apply, MonoidHom.coe_mk, OneHom.coe_mk]
0
import Mathlib.Data.Real.NNReal import Mathlib.RingTheory.Valuation.Basic noncomputable section open Function Multiplicative open scoped NNReal variable {R : Type*} [Ring R] {Γ₀ : Type*} [LinearOrderedCommGroupWithZero Γ₀] namespace Valuation class RankOne (v : Valuation R Γ₀) where hom : Γ₀ →*₀ ℝ≥0 strictMono' : StrictMono hom nontrivial' : ∃ r : R, v r ≠ 0 ∧ v r ≠ 1 namespace RankOne variable (v : Valuation R Γ₀) [RankOne v] lemma strictMono : StrictMono (hom v) := strictMono' lemma nontrivial : ∃ r : R, v r ≠ 0 ∧ v r ≠ 1 := nontrivial' theorem zero_of_hom_zero {x : Γ₀} (hx : hom v x = 0) : x = 0 := by refine (eq_of_le_of_not_lt (zero_le' (a := x)) fun h_lt ↦ ?_).symm have hs := strictMono v h_lt rw [_root_.map_zero, hx] at hs exact hs.false theorem hom_eq_zero_iff {x : Γ₀} : RankOne.hom v x = 0 ↔ x = 0 := ⟨fun h ↦ zero_of_hom_zero v h, fun h ↦ by rw [h, _root_.map_zero]⟩ def unit : Γ₀ˣ := Units.mk0 (v (nontrivial v).choose) ((nontrivial v).choose_spec).1
Mathlib/RingTheory/Valuation/RankOne.lean
67
69
theorem unit_ne_one : unit v ≠ 1 := by
rw [Ne, ← Units.eq_iff, Units.val_one] exact ((nontrivial v).choose_spec ).2
0
import Mathlib.Algebra.Associated import Mathlib.Algebra.BigOperators.Finsupp #align_import algebra.big_operators.associated from "leanprover-community/mathlib"@"f7fc89d5d5ff1db2d1242c7bb0e9062ce47ef47c" variable {α β γ δ : Type*} -- the same local notation used in `Algebra.Associated` local infixl:50 " ~ᵤ " => Associated theorem Prod.associated_iff {M N : Type*} [Monoid M] [Monoid N] {x z : M × N} : x ~ᵤ z ↔ x.1 ~ᵤ z.1 ∧ x.2 ~ᵤ z.2 := ⟨fun ⟨u, hu⟩ => ⟨⟨(MulEquiv.prodUnits.toFun u).1, (Prod.eq_iff_fst_eq_snd_eq.1 hu).1⟩, ⟨(MulEquiv.prodUnits.toFun u).2, (Prod.eq_iff_fst_eq_snd_eq.1 hu).2⟩⟩, fun ⟨⟨u₁, h₁⟩, ⟨u₂, h₂⟩⟩ => ⟨MulEquiv.prodUnits.invFun (u₁, u₂), Prod.eq_iff_fst_eq_snd_eq.2 ⟨h₁, h₂⟩⟩⟩ theorem Associated.prod {M : Type*} [CommMonoid M] {ι : Type*} (s : Finset ι) (f : ι → M) (g : ι → M) (h : ∀ i, i ∈ s → (f i) ~ᵤ (g i)) : (∏ i ∈ s, f i) ~ᵤ (∏ i ∈ s, g i) := by induction s using Finset.induction with | empty => simp only [Finset.prod_empty] rfl | @insert j s hjs IH => classical convert_to (∏ i ∈ insert j s, f i) ~ᵤ (∏ i ∈ insert j s, g i) rw [Finset.prod_insert hjs, Finset.prod_insert hjs] exact Associated.mul_mul (h j (Finset.mem_insert_self j s)) (IH (fun i hi ↦ h i (Finset.mem_insert_of_mem hi))) theorem exists_associated_mem_of_dvd_prod [CancelCommMonoidWithZero α] {p : α} (hp : Prime p) {s : Multiset α} : (∀ r ∈ s, Prime r) → p ∣ s.prod → ∃ q ∈ s, p ~ᵤ q := Multiset.induction_on s (by simp [mt isUnit_iff_dvd_one.2 hp.not_unit]) fun a s ih hs hps => by rw [Multiset.prod_cons] at hps cases' hp.dvd_or_dvd hps with h h · have hap := hs a (Multiset.mem_cons.2 (Or.inl rfl)) exact ⟨a, Multiset.mem_cons_self a _, hp.associated_of_dvd hap h⟩ · rcases ih (fun r hr => hs _ (Multiset.mem_cons.2 (Or.inr hr))) h with ⟨q, hq₁, hq₂⟩ exact ⟨q, Multiset.mem_cons.2 (Or.inr hq₁), hq₂⟩ #align exists_associated_mem_of_dvd_prod exists_associated_mem_of_dvd_prod theorem Multiset.prod_primes_dvd [CancelCommMonoidWithZero α] [∀ a : α, DecidablePred (Associated a)] {s : Multiset α} (n : α) (h : ∀ a ∈ s, Prime a) (div : ∀ a ∈ s, a ∣ n) (uniq : ∀ a, s.countP (Associated a) ≤ 1) : s.prod ∣ n := by induction' s using Multiset.induction_on with a s induct n primes divs generalizing n · simp only [Multiset.prod_zero, one_dvd] · rw [Multiset.prod_cons] obtain ⟨k, rfl⟩ : a ∣ n := div a (Multiset.mem_cons_self a s) apply mul_dvd_mul_left a refine induct _ (fun a ha => h a (Multiset.mem_cons_of_mem ha)) (fun b b_in_s => ?_) fun a => (Multiset.countP_le_of_le _ (Multiset.le_cons_self _ _)).trans (uniq a) have b_div_n := div b (Multiset.mem_cons_of_mem b_in_s) have a_prime := h a (Multiset.mem_cons_self a s) have b_prime := h b (Multiset.mem_cons_of_mem b_in_s) refine (b_prime.dvd_or_dvd b_div_n).resolve_left fun b_div_a => ?_ have assoc := b_prime.associated_of_dvd a_prime b_div_a have := uniq a rw [Multiset.countP_cons_of_pos _ (Associated.refl _), Nat.succ_le_succ_iff, ← not_lt, Multiset.countP_pos] at this exact this ⟨b, b_in_s, assoc.symm⟩ #align multiset.prod_primes_dvd Multiset.prod_primes_dvd
Mathlib/Algebra/BigOperators/Associated.lean
103
111
theorem Finset.prod_primes_dvd [CancelCommMonoidWithZero α] [Unique αˣ] {s : Finset α} (n : α) (h : ∀ a ∈ s, Prime a) (div : ∀ a ∈ s, a ∣ n) : (∏ p ∈ s, p) ∣ n := by
classical exact Multiset.prod_primes_dvd n (by simpa only [Multiset.map_id', Finset.mem_def] using h) (by simpa only [Multiset.map_id', Finset.mem_def] using div) (by simp only [Multiset.map_id', associated_eq_eq, Multiset.countP_eq_card_filter, ← s.val.count_eq_card_filter_eq, ← Multiset.nodup_iff_count_le_one, s.nodup])
0
import Mathlib.Data.Fin.VecNotation import Mathlib.SetTheory.Cardinal.Basic #align_import model_theory.basic from "leanprover-community/mathlib"@"369525b73f229ccd76a6ec0e0e0bf2be57599768" set_option autoImplicit true universe u v u' v' w w' open Cardinal open Cardinal namespace FirstOrder -- intended to be used with explicit universe parameters @[nolint checkUnivs] structure Language where Functions : ℕ → Type u Relations : ℕ → Type v #align first_order.language FirstOrder.Language --@[simp] def Sequence₂ (a₀ a₁ a₂ : Type u) : ℕ → Type u | 0 => a₀ | 1 => a₁ | 2 => a₂ | _ => PEmpty #align first_order.sequence₂ FirstOrder.Sequence₂ namespace Sequence₂ variable (a₀ a₁ a₂ : Type u) instance inhabited₀ [h : Inhabited a₀] : Inhabited (Sequence₂ a₀ a₁ a₂ 0) := h #align first_order.sequence₂.inhabited₀ FirstOrder.Sequence₂.inhabited₀ instance inhabited₁ [h : Inhabited a₁] : Inhabited (Sequence₂ a₀ a₁ a₂ 1) := h #align first_order.sequence₂.inhabited₁ FirstOrder.Sequence₂.inhabited₁ instance inhabited₂ [h : Inhabited a₂] : Inhabited (Sequence₂ a₀ a₁ a₂ 2) := h #align first_order.sequence₂.inhabited₂ FirstOrder.Sequence₂.inhabited₂ instance {n : ℕ} : IsEmpty (Sequence₂ a₀ a₁ a₂ (n + 3)) := inferInstanceAs (IsEmpty PEmpty) @[simp] theorem lift_mk {i : ℕ} : Cardinal.lift.{v,u} #(Sequence₂ a₀ a₁ a₂ i) = #(Sequence₂ (ULift.{v,u} a₀) (ULift.{v,u} a₁) (ULift.{v,u} a₂) i) := by rcases i with (_ | _ | _ | i) <;> simp only [Sequence₂, mk_uLift, Nat.succ_ne_zero, IsEmpty.forall_iff, Nat.succ.injEq, add_eq_zero, OfNat.ofNat_ne_zero, and_false, one_ne_zero, mk_eq_zero, lift_zero] #align first_order.sequence₂.lift_mk FirstOrder.Sequence₂.lift_mk @[simp]
Mathlib/ModelTheory/Basic.lean
104
106
theorem sum_card : Cardinal.sum (fun i => #(Sequence₂ a₀ a₁ a₂ i)) = #a₀ + #a₁ + #a₂ := by
rw [sum_nat_eq_add_sum_succ, sum_nat_eq_add_sum_succ, sum_nat_eq_add_sum_succ] simp [add_assoc, Sequence₂]
0
import Mathlib.Geometry.Manifold.MFDeriv.SpecificFunctions noncomputable section open scoped Manifold open Bundle Set Topology variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {H : Type*} [TopologicalSpace H] (I : ModelWithCorners 𝕜 E H) {M : Type*} [TopologicalSpace M] [ChartedSpace H M] {E' : Type*} [NormedAddCommGroup E'] [NormedSpace 𝕜 E'] {H' : Type*} [TopologicalSpace H'] (I' : ModelWithCorners 𝕜 E' H') {M' : Type*} [TopologicalSpace M'] [ChartedSpace H' M'] {E'' : Type*} [NormedAddCommGroup E''] [NormedSpace 𝕜 E''] {H'' : Type*} [TopologicalSpace H''] (I'' : ModelWithCorners 𝕜 E'' H'') {M'' : Type*} [TopologicalSpace M''] [ChartedSpace H'' M''] section Charts variable [SmoothManifoldWithCorners I M] [SmoothManifoldWithCorners I' M'] [SmoothManifoldWithCorners I'' M''] {e : PartialHomeomorph M H} theorem mdifferentiableAt_atlas (h : e ∈ atlas H M) {x : M} (hx : x ∈ e.source) : MDifferentiableAt I I e x := by rw [mdifferentiableAt_iff] refine ⟨(e.continuousOn x hx).continuousAt (e.open_source.mem_nhds hx), ?_⟩ have mem : I ((chartAt H x : M → H) x) ∈ I.symm ⁻¹' ((chartAt H x).symm ≫ₕ e).source ∩ range I := by simp only [hx, mfld_simps] have : (chartAt H x).symm.trans e ∈ contDiffGroupoid ∞ I := HasGroupoid.compatible (chart_mem_atlas H x) h have A : ContDiffOn 𝕜 ∞ (I ∘ (chartAt H x).symm.trans e ∘ I.symm) (I.symm ⁻¹' ((chartAt H x).symm.trans e).source ∩ range I) := this.1 have B := A.differentiableOn le_top (I ((chartAt H x : M → H) x)) mem simp only [mfld_simps] at B rw [inter_comm, differentiableWithinAt_inter] at B · simpa only [mfld_simps] · apply IsOpen.mem_nhds ((PartialHomeomorph.open_source _).preimage I.continuous_symm) mem.1 #align mdifferentiable_at_atlas mdifferentiableAt_atlas theorem mdifferentiableOn_atlas (h : e ∈ atlas H M) : MDifferentiableOn I I e e.source := fun _x hx => (mdifferentiableAt_atlas I h hx).mdifferentiableWithinAt #align mdifferentiable_on_atlas mdifferentiableOn_atlas theorem mdifferentiableAt_atlas_symm (h : e ∈ atlas H M) {x : H} (hx : x ∈ e.target) : MDifferentiableAt I I e.symm x := by rw [mdifferentiableAt_iff] refine ⟨(e.continuousOn_symm x hx).continuousAt (e.open_target.mem_nhds hx), ?_⟩ have mem : I x ∈ I.symm ⁻¹' (e.symm ≫ₕ chartAt H (e.symm x)).source ∩ range I := by simp only [hx, mfld_simps] have : e.symm.trans (chartAt H (e.symm x)) ∈ contDiffGroupoid ∞ I := HasGroupoid.compatible h (chart_mem_atlas H _) have A : ContDiffOn 𝕜 ∞ (I ∘ e.symm.trans (chartAt H (e.symm x)) ∘ I.symm) (I.symm ⁻¹' (e.symm.trans (chartAt H (e.symm x))).source ∩ range I) := this.1 have B := A.differentiableOn le_top (I x) mem simp only [mfld_simps] at B rw [inter_comm, differentiableWithinAt_inter] at B · simpa only [mfld_simps] · apply IsOpen.mem_nhds ((PartialHomeomorph.open_source _).preimage I.continuous_symm) mem.1 #align mdifferentiable_at_atlas_symm mdifferentiableAt_atlas_symm theorem mdifferentiableOn_atlas_symm (h : e ∈ atlas H M) : MDifferentiableOn I I e.symm e.target := fun _x hx => (mdifferentiableAt_atlas_symm I h hx).mdifferentiableWithinAt #align mdifferentiable_on_atlas_symm mdifferentiableOn_atlas_symm theorem mdifferentiable_of_mem_atlas (h : e ∈ atlas H M) : e.MDifferentiable I I := ⟨mdifferentiableOn_atlas I h, mdifferentiableOn_atlas_symm I h⟩ #align mdifferentiable_of_mem_atlas mdifferentiable_of_mem_atlas theorem mdifferentiable_chart (x : M) : (chartAt H x).MDifferentiable I I := mdifferentiable_of_mem_atlas _ (chart_mem_atlas _ _) #align mdifferentiable_chart mdifferentiable_chart
Mathlib/Geometry/Manifold/MFDeriv/Atlas.lean
146
153
theorem tangentMap_chart {p q : TangentBundle I M} (h : q.1 ∈ (chartAt H p.1).source) : tangentMap I I (chartAt H p.1) q = (TotalSpace.toProd _ _).symm ((chartAt (ModelProd H E) p : TangentBundle I M → ModelProd H E) q) := by
dsimp [tangentMap] rw [MDifferentiableAt.mfderiv] · rfl · exact mdifferentiableAt_atlas _ (chart_mem_atlas _ _) h
0
import Mathlib.Order.Filter.Lift import Mathlib.Topology.Separation import Mathlib.Order.Interval.Set.Monotone #align_import topology.filter from "leanprover-community/mathlib"@"4c19a16e4b705bf135cf9a80ac18fcc99c438514" open Set Filter TopologicalSpace open Filter Topology variable {ι : Sort*} {α β X Y : Type*} namespace Filter instance : TopologicalSpace (Filter α) := generateFrom <| range <| Iic ∘ 𝓟 theorem isOpen_Iic_principal {s : Set α} : IsOpen (Iic (𝓟 s)) := GenerateOpen.basic _ (mem_range_self _) #align filter.is_open_Iic_principal Filter.isOpen_Iic_principal theorem isOpen_setOf_mem {s : Set α} : IsOpen { l : Filter α | s ∈ l } := by simpa only [Iic_principal] using isOpen_Iic_principal #align filter.is_open_set_of_mem Filter.isOpen_setOf_mem
Mathlib/Topology/Filter.lean
59
66
theorem isTopologicalBasis_Iic_principal : IsTopologicalBasis (range (Iic ∘ 𝓟 : Set α → Set (Filter α))) := { exists_subset_inter := by
rintro _ ⟨s, rfl⟩ _ ⟨t, rfl⟩ l hl exact ⟨Iic (𝓟 s) ∩ Iic (𝓟 t), ⟨s ∩ t, by simp⟩, hl, Subset.rfl⟩ sUnion_eq := sUnion_eq_univ_iff.2 fun l => ⟨Iic ⊤, ⟨univ, congr_arg Iic principal_univ⟩, mem_Iic.2 le_top⟩ eq_generateFrom := rfl }
0
import Mathlib.GroupTheory.Perm.Cycle.Basic #align_import group_theory.perm.cycle.basic from "leanprover-community/mathlib"@"e8638a0fcaf73e4500469f368ef9494e495099b3" open Equiv Function Finset variable {ι α β : Type*} namespace Equiv.Perm section Generation variable [Finite β] open Subgroup theorem closure_isCycle : closure { σ : Perm β | IsCycle σ } = ⊤ := by classical cases nonempty_fintype β exact top_le_iff.mp (le_trans (ge_of_eq closure_isSwap) (closure_mono fun _ => IsSwap.isCycle)) #align equiv.perm.closure_is_cycle Equiv.Perm.closure_isCycle variable [DecidableEq α] [Fintype α]
Mathlib/GroupTheory/Perm/Closure.lean
46
93
theorem closure_cycle_adjacent_swap {σ : Perm α} (h1 : IsCycle σ) (h2 : σ.support = ⊤) (x : α) : closure ({σ, swap x (σ x)} : Set (Perm α)) = ⊤ := by
let H := closure ({σ, swap x (σ x)} : Set (Perm α)) have h3 : σ ∈ H := subset_closure (Set.mem_insert σ _) have h4 : swap x (σ x) ∈ H := subset_closure (Set.mem_insert_of_mem _ (Set.mem_singleton _)) have step1 : ∀ n : ℕ, swap ((σ ^ n) x) ((σ ^ (n + 1) : Perm α) x) ∈ H := by intro n induction' n with n ih · exact subset_closure (Set.mem_insert_of_mem _ (Set.mem_singleton _)) · convert H.mul_mem (H.mul_mem h3 ih) (H.inv_mem h3) simp_rw [mul_swap_eq_swap_mul, mul_inv_cancel_right, pow_succ'] rfl have step2 : ∀ n : ℕ, swap x ((σ ^ n) x) ∈ H := by intro n induction' n with n ih · simp only [Nat.zero_eq, pow_zero, coe_one, id_eq, swap_self, Set.mem_singleton_iff] convert H.one_mem · by_cases h5 : x = (σ ^ n) x · rw [pow_succ', mul_apply, ← h5] exact h4 by_cases h6 : x = (σ ^ (n + 1) : Perm α) x · rw [← h6, swap_self] exact H.one_mem rw [swap_comm, ← swap_mul_swap_mul_swap h5 h6] exact H.mul_mem (H.mul_mem (step1 n) ih) (step1 n) have step3 : ∀ y : α, swap x y ∈ H := by intro y have hx : x ∈ (⊤ : Finset α) := Finset.mem_univ x rw [← h2, mem_support] at hx have hy : y ∈ (⊤ : Finset α) := Finset.mem_univ y rw [← h2, mem_support] at hy cases' IsCycle.exists_pow_eq h1 hx hy with n hn rw [← hn] exact step2 n have step4 : ∀ y z : α, swap y z ∈ H := by intro y z by_cases h5 : z = x · rw [h5, swap_comm] exact step3 y by_cases h6 : z = y · rw [h6, swap_self] exact H.one_mem rw [← swap_mul_swap_mul_swap h5 h6, swap_comm z x] exact H.mul_mem (H.mul_mem (step3 y) (step3 z)) (step3 y) rw [eq_top_iff, ← closure_isSwap, closure_le] rintro τ ⟨y, z, _, h6⟩ rw [h6] exact step4 y z
0
import Mathlib.Algebra.Ring.Prod import Mathlib.GroupTheory.OrderOfElement import Mathlib.Tactic.FinCases #align_import data.zmod.basic from "leanprover-community/mathlib"@"74ad1c88c77e799d2fea62801d1dbbd698cff1b7" assert_not_exists Submodule open Function namespace ZMod instance charZero : CharZero (ZMod 0) := inferInstanceAs (CharZero ℤ) def val : ∀ {n : ℕ}, ZMod n → ℕ | 0 => Int.natAbs | n + 1 => ((↑) : Fin (n + 1) → ℕ) #align zmod.val ZMod.val theorem val_lt {n : ℕ} [NeZero n] (a : ZMod n) : a.val < n := by cases n · cases NeZero.ne 0 rfl exact Fin.is_lt a #align zmod.val_lt ZMod.val_lt theorem val_le {n : ℕ} [NeZero n] (a : ZMod n) : a.val ≤ n := a.val_lt.le #align zmod.val_le ZMod.val_le @[simp] theorem val_zero : ∀ {n}, (0 : ZMod n).val = 0 | 0 => rfl | _ + 1 => rfl #align zmod.val_zero ZMod.val_zero @[simp] theorem val_one' : (1 : ZMod 0).val = 1 := rfl #align zmod.val_one' ZMod.val_one' @[simp] theorem val_neg' {n : ZMod 0} : (-n).val = n.val := Int.natAbs_neg n #align zmod.val_neg' ZMod.val_neg' @[simp] theorem val_mul' {m n : ZMod 0} : (m * n).val = m.val * n.val := Int.natAbs_mul m n #align zmod.val_mul' ZMod.val_mul' @[simp] theorem val_natCast {n : ℕ} (a : ℕ) : (a : ZMod n).val = a % n := by cases n · rw [Nat.mod_zero] exact Int.natAbs_ofNat a · apply Fin.val_natCast #align zmod.val_nat_cast ZMod.val_natCast @[deprecated (since := "2024-04-17")] alias val_nat_cast := val_natCast theorem val_unit' {n : ZMod 0} : IsUnit n ↔ n.val = 1 := by simp only [val] rw [Int.isUnit_iff, Int.natAbs_eq_iff, Nat.cast_one] lemma eq_one_of_isUnit_natCast {n : ℕ} (h : IsUnit (n : ZMod 0)) : n = 1 := by rw [← Nat.mod_zero n, ← val_natCast, val_unit'.mp h] theorem val_natCast_of_lt {n a : ℕ} (h : a < n) : (a : ZMod n).val = a := by rwa [val_natCast, Nat.mod_eq_of_lt] @[deprecated (since := "2024-04-17")] alias val_nat_cast_of_lt := val_natCast_of_lt instance charP (n : ℕ) : CharP (ZMod n) n where cast_eq_zero_iff' := by intro k cases' n with n · simp [zero_dvd_iff, Int.natCast_eq_zero, Nat.zero_eq] · exact Fin.natCast_eq_zero @[simp] theorem addOrderOf_one (n : ℕ) : addOrderOf (1 : ZMod n) = n := CharP.eq _ (CharP.addOrderOf_one _) (ZMod.charP n) #align zmod.add_order_of_one ZMod.addOrderOf_one @[simp]
Mathlib/Data/ZMod/Basic.lean
122
126
theorem addOrderOf_coe (a : ℕ) {n : ℕ} (n0 : n ≠ 0) : addOrderOf (a : ZMod n) = n / n.gcd a := by
cases' a with a · simp only [Nat.zero_eq, Nat.cast_zero, addOrderOf_zero, Nat.gcd_zero_right, Nat.pos_of_ne_zero n0, Nat.div_self] rw [← Nat.smul_one_eq_cast, addOrderOf_nsmul' _ a.succ_ne_zero, ZMod.addOrderOf_one]
0
import Mathlib.CategoryTheory.Abelian.Opposite import Mathlib.CategoryTheory.Abelian.Homology import Mathlib.Algebra.Homology.Additive import Mathlib.Algebra.Homology.ShortComplex.HomologicalComplex #align_import algebra.homology.opposite from "leanprover-community/mathlib"@"8c75ef3517d4106e89fe524e6281d0b0545f47fc" noncomputable section open Opposite CategoryTheory CategoryTheory.Limits section variable {V : Type*} [Category V] [Abelian V] theorem imageToKernel_op {X Y Z : V} (f : X ⟶ Y) (g : Y ⟶ Z) (w : f ≫ g = 0) : imageToKernel g.op f.op (by rw [← op_comp, w, op_zero]) = (imageSubobjectIso _ ≪≫ (imageOpOp _).symm).hom ≫ (cokernel.desc f (factorThruImage g) (by rw [← cancel_mono (image.ι g), Category.assoc, image.fac, w, zero_comp])).op ≫ (kernelSubobjectIso _ ≪≫ kernelOpOp _).inv := by ext simp only [Iso.trans_hom, Iso.symm_hom, Iso.trans_inv, kernelOpOp_inv, Category.assoc, imageToKernel_arrow, kernelSubobject_arrow', kernel.lift_ι, ← op_comp, cokernel.π_desc, ← imageSubobject_arrow, ← imageUnopOp_inv_comp_op_factorThruImage g.op] rfl #align image_to_kernel_op imageToKernel_op
Mathlib/Algebra/Homology/Opposite.lean
53
63
theorem imageToKernel_unop {X Y Z : Vᵒᵖ} (f : X ⟶ Y) (g : Y ⟶ Z) (w : f ≫ g = 0) : imageToKernel g.unop f.unop (by rw [← unop_comp, w, unop_zero]) = (imageSubobjectIso _ ≪≫ (imageUnopUnop _).symm).hom ≫ (cokernel.desc f (factorThruImage g) (by rw [← cancel_mono (image.ι g), Category.assoc, image.fac, w, zero_comp])).unop ≫ (kernelSubobjectIso _ ≪≫ kernelUnopUnop _).inv := by
ext dsimp only [imageUnopUnop] simp only [Iso.trans_hom, Iso.symm_hom, Iso.trans_inv, kernelUnopUnop_inv, Category.assoc, imageToKernel_arrow, kernelSubobject_arrow', kernel.lift_ι, cokernel.π_desc, Iso.unop_inv, ← unop_comp, factorThruImage_comp_imageUnopOp_inv, Quiver.Hom.unop_op, imageSubobject_arrow]
0
import Mathlib.Algebra.BigOperators.Group.List import Mathlib.Data.List.OfFn import Mathlib.Data.Set.Pointwise.Basic #align_import data.set.pointwise.list_of_fn from "leanprover-community/mathlib"@"f694c7dead66f5d4c80f446c796a5aad14707f0e" namespace Set variable {F α β γ : Type*} variable [Monoid α] {s t : Set α} {a : α} {m n : ℕ} open Pointwise @[to_additive] theorem mem_prod_list_ofFn {a : α} {s : Fin n → Set α} : a ∈ (List.ofFn s).prod ↔ ∃ f : ∀ i : Fin n, s i, (List.ofFn fun i ↦ (f i : α)).prod = a := by induction' n with n ih generalizing a · simp_rw [List.ofFn_zero, List.prod_nil, Fin.exists_fin_zero_pi, eq_comm, Set.mem_one] · simp_rw [List.ofFn_succ, List.prod_cons, Fin.exists_fin_succ_pi, Fin.cons_zero, Fin.cons_succ, mem_mul, @ih, exists_exists_eq_and, SetCoe.exists, exists_prop] #align set.mem_prod_list_of_fn Set.mem_prod_list_ofFn #align set.mem_sum_list_of_fn Set.mem_sum_list_ofFn @[to_additive]
Mathlib/Data/Set/Pointwise/ListOfFn.lean
36
47
theorem mem_list_prod {l : List (Set α)} {a : α} : a ∈ l.prod ↔ ∃ l' : List (Σs : Set α, ↥s), List.prod (l'.map fun x ↦ (Sigma.snd x : α)) = a ∧ l'.map Sigma.fst = l := by
induction' l using List.ofFnRec with n f simp only [mem_prod_list_ofFn, List.exists_iff_exists_tuple, List.map_ofFn, Function.comp, List.ofFn_inj', Sigma.mk.inj_iff, and_left_comm, exists_and_left, exists_eq_left, heq_eq_eq] constructor · rintro ⟨fi, rfl⟩ exact ⟨fun i ↦ ⟨_, fi i⟩, rfl, rfl⟩ · rintro ⟨fi, rfl, rfl⟩ exact ⟨fun i ↦ _, rfl⟩
0
import Mathlib.Algebra.Polynomial.Monic #align_import algebra.polynomial.big_operators from "leanprover-community/mathlib"@"47adfab39a11a072db552f47594bf8ed2cf8a722" open Finset open Multiset open Polynomial universe u w variable {R : Type u} {ι : Type w} namespace Polynomial variable (s : Finset ι) section CommRing variable [CommRing R] open Monic -- Eventually this can be generalized with Vieta's formulas -- plus the connection between roots and factorization.
Mathlib/Algebra/Polynomial/BigOperators.lean
253
259
theorem multiset_prod_X_sub_C_nextCoeff (t : Multiset R) : nextCoeff (t.map fun x => X - C x).prod = -t.sum := by
rw [nextCoeff_multiset_prod] · simp only [nextCoeff_X_sub_C] exact t.sum_hom (-AddMonoidHom.id R) · intros apply monic_X_sub_C
0
import Mathlib.MeasureTheory.Constructions.Prod.Basic import Mathlib.MeasureTheory.Group.Measure #align_import measure_theory.group.prod from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844" noncomputable section open Set hiding prod_eq open Function MeasureTheory open Filter hiding map open scoped Classical ENNReal Pointwise MeasureTheory variable (G : Type*) [MeasurableSpace G] variable [Group G] [MeasurableMul₂ G] variable (μ ν : Measure G) [SigmaFinite ν] [SigmaFinite μ] {s : Set G} @[to_additive "The map `(x, y) ↦ (x, x + y)` as a `MeasurableEquiv`."] protected def MeasurableEquiv.shearMulRight [MeasurableInv G] : G × G ≃ᵐ G × G := { Equiv.prodShear (Equiv.refl _) Equiv.mulLeft with measurable_toFun := measurable_fst.prod_mk measurable_mul measurable_invFun := measurable_fst.prod_mk <| measurable_fst.inv.mul measurable_snd } #align measurable_equiv.shear_mul_right MeasurableEquiv.shearMulRight #align measurable_equiv.shear_add_right MeasurableEquiv.shearAddRight @[to_additive "The map `(x, y) ↦ (x, y - x)` as a `MeasurableEquiv` with as inverse `(x, y) ↦ (x, y + x)`."] protected def MeasurableEquiv.shearDivRight [MeasurableInv G] : G × G ≃ᵐ G × G := { Equiv.prodShear (Equiv.refl _) Equiv.divRight with measurable_toFun := measurable_fst.prod_mk <| measurable_snd.div measurable_fst measurable_invFun := measurable_fst.prod_mk <| measurable_snd.mul measurable_fst } #align measurable_equiv.shear_div_right MeasurableEquiv.shearDivRight #align measurable_equiv.shear_sub_right MeasurableEquiv.shearSubRight variable {G} namespace MeasureTheory open Measure section LeftInvariant @[to_additive measurePreserving_prod_add " The shear mapping `(x, y) ↦ (x, x + y)` preserves the measure `μ × ν`. "] theorem measurePreserving_prod_mul [IsMulLeftInvariant ν] : MeasurePreserving (fun z : G × G => (z.1, z.1 * z.2)) (μ.prod ν) (μ.prod ν) := (MeasurePreserving.id μ).skew_product measurable_mul <| Filter.eventually_of_forall <| map_mul_left_eq_self ν #align measure_theory.measure_preserving_prod_mul MeasureTheory.measurePreserving_prod_mul #align measure_theory.measure_preserving_prod_add MeasureTheory.measurePreserving_prod_add @[to_additive measurePreserving_prod_add_swap " The map `(x, y) ↦ (y, y + x)` sends the measure `μ × ν` to `ν × μ`. "] theorem measurePreserving_prod_mul_swap [IsMulLeftInvariant μ] : MeasurePreserving (fun z : G × G => (z.2, z.2 * z.1)) (μ.prod ν) (ν.prod μ) := (measurePreserving_prod_mul ν μ).comp measurePreserving_swap #align measure_theory.measure_preserving_prod_mul_swap MeasureTheory.measurePreserving_prod_mul_swap #align measure_theory.measure_preserving_prod_add_swap MeasureTheory.measurePreserving_prod_add_swap @[to_additive] theorem measurable_measure_mul_right (hs : MeasurableSet s) : Measurable fun x => μ ((fun y => y * x) ⁻¹' s) := by suffices Measurable fun y => μ ((fun x => (x, y)) ⁻¹' ((fun z : G × G => ((1 : G), z.1 * z.2)) ⁻¹' univ ×ˢ s)) by convert this using 1; ext1 x; congr 1 with y : 1; simp apply measurable_measure_prod_mk_right apply measurable_const.prod_mk measurable_mul (MeasurableSet.univ.prod hs) infer_instance #align measure_theory.measurable_measure_mul_right MeasureTheory.measurable_measure_mul_right #align measure_theory.measurable_measure_add_right MeasureTheory.measurable_measure_add_right variable [MeasurableInv G] @[to_additive measurePreserving_prod_neg_add "The map `(x, y) ↦ (x, - x + y)` is measure-preserving."] theorem measurePreserving_prod_inv_mul [IsMulLeftInvariant ν] : MeasurePreserving (fun z : G × G => (z.1, z.1⁻¹ * z.2)) (μ.prod ν) (μ.prod ν) := (measurePreserving_prod_mul μ ν).symm <| MeasurableEquiv.shearMulRight G #align measure_theory.measure_preserving_prod_inv_mul MeasureTheory.measurePreserving_prod_inv_mul #align measure_theory.measure_preserving_prod_neg_add MeasureTheory.measurePreserving_prod_neg_add variable [IsMulLeftInvariant μ] @[to_additive measurePreserving_prod_neg_add_swap "The map `(x, y) ↦ (y, - y + x)` sends `μ × ν` to `ν × μ`."] theorem measurePreserving_prod_inv_mul_swap : MeasurePreserving (fun z : G × G => (z.2, z.2⁻¹ * z.1)) (μ.prod ν) (ν.prod μ) := (measurePreserving_prod_inv_mul ν μ).comp measurePreserving_swap #align measure_theory.measure_preserving_prod_inv_mul_swap MeasureTheory.measurePreserving_prod_inv_mul_swap #align measure_theory.measure_preserving_prod_neg_add_swap MeasureTheory.measurePreserving_prod_neg_add_swap @[to_additive measurePreserving_add_prod_neg "The map `(x, y) ↦ (y + x, - x)` is measure-preserving."]
Mathlib/MeasureTheory/Group/Prod.lean
151
156
theorem measurePreserving_mul_prod_inv [IsMulLeftInvariant ν] : MeasurePreserving (fun z : G × G => (z.2 * z.1, z.1⁻¹)) (μ.prod ν) (μ.prod ν) := by
convert (measurePreserving_prod_inv_mul_swap ν μ).comp (measurePreserving_prod_mul_swap μ ν) using 1 ext1 ⟨x, y⟩ simp_rw [Function.comp_apply, mul_inv_rev, inv_mul_cancel_right]
0
import Mathlib.Order.Filter.Basic import Mathlib.Topology.Bases import Mathlib.Data.Set.Accumulate import Mathlib.Topology.Bornology.Basic import Mathlib.Topology.LocallyFinite open Set Filter Topology TopologicalSpace Classical Function universe u v variable {X : Type u} {Y : Type v} {ι : Type*} variable [TopologicalSpace X] [TopologicalSpace Y] {s t : Set X} -- compact sets section Compact lemma IsCompact.exists_clusterPt (hs : IsCompact s) {f : Filter X} [NeBot f] (hf : f ≤ 𝓟 s) : ∃ x ∈ s, ClusterPt x f := hs hf lemma IsCompact.exists_mapClusterPt {ι : Type*} (hs : IsCompact s) {f : Filter ι} [NeBot f] {u : ι → X} (hf : Filter.map u f ≤ 𝓟 s) : ∃ x ∈ s, MapClusterPt x f u := hs hf theorem IsCompact.compl_mem_sets (hs : IsCompact s) {f : Filter X} (hf : ∀ x ∈ s, sᶜ ∈ 𝓝 x ⊓ f) : sᶜ ∈ f := by contrapose! hf simp only [not_mem_iff_inf_principal_compl, compl_compl, inf_assoc] at hf ⊢ exact @hs _ hf inf_le_right #align is_compact.compl_mem_sets IsCompact.compl_mem_sets theorem IsCompact.compl_mem_sets_of_nhdsWithin (hs : IsCompact s) {f : Filter X} (hf : ∀ x ∈ s, ∃ t ∈ 𝓝[s] x, tᶜ ∈ f) : sᶜ ∈ f := by refine hs.compl_mem_sets fun x hx => ?_ rcases hf x hx with ⟨t, ht, hst⟩ replace ht := mem_inf_principal.1 ht apply mem_inf_of_inter ht hst rintro x ⟨h₁, h₂⟩ hs exact h₂ (h₁ hs) #align is_compact.compl_mem_sets_of_nhds_within IsCompact.compl_mem_sets_of_nhdsWithin @[elab_as_elim]
Mathlib/Topology/Compactness/Compact.lean
70
75
theorem IsCompact.induction_on (hs : IsCompact s) {p : Set X → Prop} (he : p ∅) (hmono : ∀ ⦃s t⦄, s ⊆ t → p t → p s) (hunion : ∀ ⦃s t⦄, p s → p t → p (s ∪ t)) (hnhds : ∀ x ∈ s, ∃ t ∈ 𝓝[s] x, p t) : p s := by
let f : Filter X := comk p he (fun _t ht _s hsub ↦ hmono hsub ht) (fun _s hs _t ht ↦ hunion hs ht) have : sᶜ ∈ f := hs.compl_mem_sets_of_nhdsWithin (by simpa [f] using hnhds) rwa [← compl_compl s]
0
import Mathlib.Analysis.NormedSpace.Exponential import Mathlib.Analysis.NormedSpace.ProdLp import Mathlib.Topology.Instances.TrivSqZeroExt #align_import analysis.normed_space.triv_sq_zero_ext from "leanprover-community/mathlib"@"88a563b158f59f2983cfad685664da95502e8cdd" variable (𝕜 : Type*) {S R M : Type*} local notation "tsze" => TrivSqZeroExt open NormedSpace -- For `exp`. namespace TrivSqZeroExt section Topology section Ring variable [Field 𝕜] [CharZero 𝕜] [Ring R] [AddCommGroup M] [Algebra 𝕜 R] [Module 𝕜 M] [Module R M] [Module Rᵐᵒᵖ M] [SMulCommClass R Rᵐᵒᵖ M] [IsScalarTower 𝕜 R M] [IsScalarTower 𝕜 Rᵐᵒᵖ M] [TopologicalSpace R] [TopologicalSpace M] [TopologicalRing R] [TopologicalAddGroup M] [ContinuousSMul R M] [ContinuousSMul Rᵐᵒᵖ M] theorem snd_expSeries_of_smul_comm (x : tsze R M) (hx : MulOpposite.op x.fst • x.snd = x.fst • x.snd) (n : ℕ) : snd (expSeries 𝕜 (tsze R M) (n + 1) fun _ => x) = (expSeries 𝕜 R n fun _ => x.fst) • x.snd := by simp_rw [expSeries_apply_eq, snd_smul, snd_pow_of_smul_comm _ _ hx, nsmul_eq_smul_cast 𝕜 (n + 1), smul_smul, smul_assoc, Nat.factorial_succ, Nat.pred_succ, Nat.cast_mul, mul_inv_rev, inv_mul_cancel_right₀ ((Nat.cast_ne_zero (R := 𝕜)).mpr <| Nat.succ_ne_zero n)]
Mathlib/Analysis/NormedSpace/TrivSqZeroExt.lean
91
100
theorem hasSum_snd_expSeries_of_smul_comm (x : tsze R M) (hx : MulOpposite.op x.fst • x.snd = x.fst • x.snd) {e : R} (h : HasSum (fun n => expSeries 𝕜 R n fun _ => x.fst) e) : HasSum (fun n => snd (expSeries 𝕜 (tsze R M) n fun _ => x)) (e • x.snd) := by
rw [← hasSum_nat_add_iff' 1] simp_rw [snd_expSeries_of_smul_comm _ _ hx] simp_rw [expSeries_apply_eq] at * rw [Finset.range_one, Finset.sum_singleton, Nat.factorial_zero, Nat.cast_one, pow_zero, inv_one, one_smul, snd_one, sub_zero] exact h.smul_const _
0
import Mathlib.RingTheory.RootsOfUnity.Basic universe u variable {L : Type u} [CommRing L] [IsDomain L] variable (n : ℕ+) theorem rootsOfUnity.integer_power_of_ringEquiv (g : L ≃+* L) : ∃ m : ℤ, ∀ t : rootsOfUnity n L, g (t : Lˣ) = (t ^ m : Lˣ) := by obtain ⟨m, hm⟩ := MonoidHom.map_cyclic ((g : L ≃* L).restrictRootsOfUnity n).toMonoidHom exact ⟨m, fun t ↦ Units.ext_iff.1 <| SetCoe.ext_iff.2 <| hm t⟩ theorem rootsOfUnity.integer_power_of_ringEquiv' (g : L ≃+* L) : ∃ m : ℤ, ∀ t ∈ rootsOfUnity n L, g (t : Lˣ) = (t ^ m : Lˣ) := by simpa using rootsOfUnity.integer_power_of_ringEquiv n g noncomputable def ModularCyclotomicCharacter_aux (g : L ≃+* L) (n : ℕ+) : ℤ := (rootsOfUnity.integer_power_of_ringEquiv n g).choose -- the only thing we know about `ModularCyclotomicCharacter_aux g n` theorem ModularCyclotomicCharacter_aux_spec (g : L ≃+* L) (n : ℕ+) : ∀ t : rootsOfUnity n L, g (t : Lˣ) = (t ^ (ModularCyclotomicCharacter_aux g n) : Lˣ) := (rootsOfUnity.integer_power_of_ringEquiv n g).choose_spec noncomputable def ModularCyclotomicCharacter.toFun (n : ℕ+) (g : L ≃+* L) : ZMod (Fintype.card (rootsOfUnity n L)) := ModularCyclotomicCharacter_aux g n namespace ModularCyclotomicCharacter local notation "χ₀" => ModularCyclotomicCharacter.toFun set_option backward.synthInstance.canonInstances false in -- See https://github.com/leanprover-community/mathlib4/issues/12532
Mathlib/NumberTheory/Cyclotomic/CyclotomicCharacter.lean
105
109
theorem toFun_spec (g : L ≃+* L) {n : ℕ+} (t : rootsOfUnity n L) : g (t : Lˣ) = (t ^ (χ₀ n g).val : Lˣ) := by
rw [ModularCyclotomicCharacter_aux_spec g n t, ← zpow_natCast, ModularCyclotomicCharacter.toFun, ZMod.val_intCast, ← Subgroup.coe_zpow] exact Units.ext_iff.1 <| SetCoe.ext_iff.2 <| zpow_eq_zpow_emod _ pow_card_eq_one
0
import Mathlib.MeasureTheory.OuterMeasure.OfFunction import Mathlib.MeasureTheory.PiSystem #align_import measure_theory.measure.outer_measure from "leanprover-community/mathlib"@"343e80208d29d2d15f8050b929aa50fe4ce71b55" noncomputable section open Set Function Filter open scoped Classical NNReal Topology ENNReal namespace MeasureTheory namespace OuterMeasure section CaratheodoryMeasurable universe u variable {α : Type u} (m : OuterMeasure α) attribute [local simp] Set.inter_comm Set.inter_left_comm Set.inter_assoc variable {s s₁ s₂ : Set α} def IsCaratheodory (s : Set α) : Prop := ∀ t, m t = m (t ∩ s) + m (t \ s) #align measure_theory.outer_measure.is_caratheodory MeasureTheory.OuterMeasure.IsCaratheodory theorem isCaratheodory_iff_le' {s : Set α} : IsCaratheodory m s ↔ ∀ t, m (t ∩ s) + m (t \ s) ≤ m t := forall_congr' fun _ => le_antisymm_iff.trans <| and_iff_right <| measure_le_inter_add_diff _ _ _ #align measure_theory.outer_measure.is_caratheodory_iff_le' MeasureTheory.OuterMeasure.isCaratheodory_iff_le' @[simp] theorem isCaratheodory_empty : IsCaratheodory m ∅ := by simp [IsCaratheodory, m.empty, diff_empty] #align measure_theory.outer_measure.is_caratheodory_empty MeasureTheory.OuterMeasure.isCaratheodory_empty theorem isCaratheodory_compl : IsCaratheodory m s₁ → IsCaratheodory m s₁ᶜ := by simp [IsCaratheodory, diff_eq, add_comm] #align measure_theory.outer_measure.is_caratheodory_compl MeasureTheory.OuterMeasure.isCaratheodory_compl @[simp] theorem isCaratheodory_compl_iff : IsCaratheodory m sᶜ ↔ IsCaratheodory m s := ⟨fun h => by simpa using isCaratheodory_compl m h, isCaratheodory_compl m⟩ #align measure_theory.outer_measure.is_caratheodory_compl_iff MeasureTheory.OuterMeasure.isCaratheodory_compl_iff theorem isCaratheodory_union (h₁ : IsCaratheodory m s₁) (h₂ : IsCaratheodory m s₂) : IsCaratheodory m (s₁ ∪ s₂) := fun t => by rw [h₁ t, h₂ (t ∩ s₁), h₂ (t \ s₁), h₁ (t ∩ (s₁ ∪ s₂)), inter_diff_assoc _ _ s₁, Set.inter_assoc _ _ s₁, inter_eq_self_of_subset_right Set.subset_union_left, union_diff_left, h₂ (t ∩ s₁)] simp [diff_eq, add_assoc] #align measure_theory.outer_measure.is_caratheodory_union MeasureTheory.OuterMeasure.isCaratheodory_union
Mathlib/MeasureTheory/OuterMeasure/Caratheodory.lean
82
84
theorem measure_inter_union (h : s₁ ∩ s₂ ⊆ ∅) (h₁ : IsCaratheodory m s₁) {t : Set α} : m (t ∩ (s₁ ∪ s₂)) = m (t ∩ s₁) + m (t ∩ s₂) := by
rw [h₁, Set.inter_assoc, Set.union_inter_cancel_left, inter_diff_assoc, union_diff_cancel_left h]
0
import Mathlib.Algebra.Order.Ring.Basic import Mathlib.Computability.Primrec import Mathlib.Tactic.Ring import Mathlib.Tactic.Linarith #align_import computability.ackermann from "leanprover-community/mathlib"@"9b2660e1b25419042c8da10bf411aa3c67f14383" open Nat def ack : ℕ → ℕ → ℕ | 0, n => n + 1 | m + 1, 0 => ack m 1 | m + 1, n + 1 => ack m (ack (m + 1) n) #align ack ack @[simp] theorem ack_zero (n : ℕ) : ack 0 n = n + 1 := by rw [ack] #align ack_zero ack_zero @[simp] theorem ack_succ_zero (m : ℕ) : ack (m + 1) 0 = ack m 1 := by rw [ack] #align ack_succ_zero ack_succ_zero @[simp] theorem ack_succ_succ (m n : ℕ) : ack (m + 1) (n + 1) = ack m (ack (m + 1) n) := by rw [ack] #align ack_succ_succ ack_succ_succ @[simp] theorem ack_one (n : ℕ) : ack 1 n = n + 2 := by induction' n with n IH · rfl · simp [IH] #align ack_one ack_one @[simp] theorem ack_two (n : ℕ) : ack 2 n = 2 * n + 3 := by induction' n with n IH · rfl · simpa [mul_succ] #align ack_two ack_two -- Porting note: re-written to get rid of ack_three_aux @[simp] theorem ack_three (n : ℕ) : ack 3 n = 2 ^ (n + 3) - 3 := by induction' n with n IH · rfl · rw [ack_succ_succ, IH, ack_two, Nat.succ_add, Nat.pow_succ 2 (n + 3), mul_comm _ 2, Nat.mul_sub_left_distrib, ← Nat.sub_add_comm, two_mul 3, Nat.add_sub_add_right] have H : 2 * 3 ≤ 2 * 2 ^ 3 := by norm_num apply H.trans rw [_root_.mul_le_mul_left two_pos] exact pow_le_pow_right one_le_two (Nat.le_add_left 3 n) #align ack_three ack_three theorem ack_pos : ∀ m n, 0 < ack m n | 0, n => by simp | m + 1, 0 => by rw [ack_succ_zero] apply ack_pos | m + 1, n + 1 => by rw [ack_succ_succ] apply ack_pos #align ack_pos ack_pos theorem one_lt_ack_succ_left : ∀ m n, 1 < ack (m + 1) n | 0, n => by simp | m + 1, 0 => by rw [ack_succ_zero] apply one_lt_ack_succ_left | m + 1, n + 1 => by rw [ack_succ_succ] apply one_lt_ack_succ_left #align one_lt_ack_succ_left one_lt_ack_succ_left theorem one_lt_ack_succ_right : ∀ m n, 1 < ack m (n + 1) | 0, n => by simp | m + 1, n => by rw [ack_succ_succ] cases' exists_eq_succ_of_ne_zero (ack_pos (m + 1) n).ne' with h h rw [h] apply one_lt_ack_succ_right #align one_lt_ack_succ_right one_lt_ack_succ_right theorem ack_strictMono_right : ∀ m, StrictMono (ack m) | 0, n₁, n₂, h => by simpa using h | m + 1, 0, n + 1, _h => by rw [ack_succ_zero, ack_succ_succ] exact ack_strictMono_right _ (one_lt_ack_succ_left m n) | m + 1, n₁ + 1, n₂ + 1, h => by rw [ack_succ_succ, ack_succ_succ] apply ack_strictMono_right _ (ack_strictMono_right _ _) rwa [add_lt_add_iff_right] at h #align ack_strict_mono_right ack_strictMono_right theorem ack_mono_right (m : ℕ) : Monotone (ack m) := (ack_strictMono_right m).monotone #align ack_mono_right ack_mono_right theorem ack_injective_right (m : ℕ) : Function.Injective (ack m) := (ack_strictMono_right m).injective #align ack_injective_right ack_injective_right @[simp] theorem ack_lt_iff_right {m n₁ n₂ : ℕ} : ack m n₁ < ack m n₂ ↔ n₁ < n₂ := (ack_strictMono_right m).lt_iff_lt #align ack_lt_iff_right ack_lt_iff_right @[simp] theorem ack_le_iff_right {m n₁ n₂ : ℕ} : ack m n₁ ≤ ack m n₂ ↔ n₁ ≤ n₂ := (ack_strictMono_right m).le_iff_le #align ack_le_iff_right ack_le_iff_right @[simp] theorem ack_inj_right {m n₁ n₂ : ℕ} : ack m n₁ = ack m n₂ ↔ n₁ = n₂ := (ack_injective_right m).eq_iff #align ack_inj_right ack_inj_right theorem max_ack_right (m n₁ n₂ : ℕ) : ack m (max n₁ n₂) = max (ack m n₁) (ack m n₂) := (ack_mono_right m).map_max #align max_ack_right max_ack_right
Mathlib/Computability/Ackermann.lean
175
185
theorem add_lt_ack : ∀ m n, m + n < ack m n | 0, n => by simp | m + 1, 0 => by simpa using add_lt_ack m 1 | m + 1, n + 1 => calc m + 1 + n + 1 ≤ m + (m + n + 2) := by
omega _ < ack m (m + n + 2) := add_lt_ack _ _ _ ≤ ack m (ack (m + 1) n) := ack_mono_right m <| le_of_eq_of_le (by rw [succ_eq_add_one]; ring_nf) <| succ_le_of_lt <| add_lt_ack (m + 1) n _ = ack (m + 1) (n + 1) := (ack_succ_succ m n).symm
0
import Mathlib.Data.Multiset.Bind import Mathlib.Control.Traversable.Lemmas import Mathlib.Control.Traversable.Instances #align_import data.multiset.functor from "leanprover-community/mathlib"@"1f0096e6caa61e9c849ec2adbd227e960e9dff58" universe u namespace Multiset open List instance functor : Functor Multiset where map := @map @[simp] theorem fmap_def {α' β'} {s : Multiset α'} (f : α' → β') : f <$> s = s.map f := rfl #align multiset.fmap_def Multiset.fmap_def instance : LawfulFunctor Multiset where id_map := by simp comp_map := by simp map_const {_ _} := rfl open LawfulTraversable CommApplicative variable {F : Type u → Type u} [Applicative F] [CommApplicative F] variable {α' β' : Type u} (f : α' → F β') def traverse : Multiset α' → F (Multiset β') := by refine Quotient.lift (Functor.map Coe.coe ∘ Traversable.traverse f) ?_ introv p; unfold Function.comp induction p with | nil => rfl | @cons x l₁ l₂ _ h => have : Multiset.cons <$> f x <*> Coe.coe <$> Traversable.traverse f l₁ = Multiset.cons <$> f x <*> Coe.coe <$> Traversable.traverse f l₂ := by rw [h] simpa [functor_norm] using this | swap x y l => have : (fun a b (l : List β') ↦ (↑(a :: b :: l) : Multiset β')) <$> f y <*> f x = (fun a b l ↦ ↑(a :: b :: l)) <$> f x <*> f y := by rw [CommApplicative.commutative_map] congr funext a b l simpa [flip] using Perm.swap a b l simp [(· ∘ ·), this, functor_norm, Coe.coe] | trans => simp [*] #align multiset.traverse Multiset.traverse instance : Monad Multiset := { Multiset.functor with pure := fun x ↦ {x} bind := @bind } @[simp] theorem pure_def {α} : (pure : α → Multiset α) = singleton := rfl #align multiset.pure_def Multiset.pure_def @[simp] theorem bind_def {α β} : (· >>= ·) = @bind α β := rfl #align multiset.bind_def Multiset.bind_def instance : LawfulMonad Multiset := LawfulMonad.mk' (bind_pure_comp := fun _ _ ↦ by simp only [pure_def, bind_def, bind_singleton, fmap_def]) (id_map := fun _ ↦ by simp only [fmap_def, id_eq, map_id']) (pure_bind := fun _ _ ↦ by simp only [pure_def, bind_def, singleton_bind]) (bind_assoc := @bind_assoc) open Functor open Traversable LawfulTraversable @[simp] theorem lift_coe {α β : Type*} (x : List α) (f : List α → β) (h : ∀ a b : List α, a ≈ b → f a = f b) : Quotient.lift f h (x : Multiset α) = f x := Quotient.lift_mk _ _ _ #align multiset.lift_coe Multiset.lift_coe @[simp] theorem map_comp_coe {α β} (h : α → β) : Functor.map h ∘ Coe.coe = (Coe.coe ∘ Functor.map h : List α → Multiset β) := by funext; simp only [Function.comp_apply, Coe.coe, fmap_def, map_coe, List.map_eq_map] #align multiset.map_comp_coe Multiset.map_comp_coe theorem id_traverse {α : Type*} (x : Multiset α) : traverse (pure : α → Id α) x = x := by refine Quotient.inductionOn x ?_ intro simp [traverse, Coe.coe] #align multiset.id_traverse Multiset.id_traverse
Mathlib/Data/Multiset/Functor.lean
108
116
theorem comp_traverse {G H : Type _ → Type _} [Applicative G] [Applicative H] [CommApplicative G] [CommApplicative H] {α β γ : Type _} (g : α → G β) (h : β → H γ) (x : Multiset α) : traverse (Comp.mk ∘ Functor.map h ∘ g) x = Comp.mk (Functor.map (traverse h) (traverse g x)) := by
refine Quotient.inductionOn x ?_ intro simp only [traverse, quot_mk_to_coe, lift_coe, Coe.coe, Function.comp_apply, Functor.map_map, functor_norm] simp only [Function.comp, lift_coe]
0
import Mathlib.Analysis.Complex.CauchyIntegral import Mathlib.Analysis.Calculus.FDeriv.Analytic import Mathlib.Analysis.NormedSpace.Completion #align_import analysis.complex.liouville from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open TopologicalSpace Metric Set Filter Asymptotics Function MeasureTheory Bornology open scoped Topology Filter NNReal Real universe u v variable {E : Type u} [NormedAddCommGroup E] [NormedSpace ℂ E] {F : Type v} [NormedAddCommGroup F] [NormedSpace ℂ F] local postfix:100 "̂" => UniformSpace.Completion namespace Complex theorem deriv_eq_smul_circleIntegral [CompleteSpace F] {R : ℝ} {c : ℂ} {f : ℂ → F} (hR : 0 < R) (hf : DiffContOnCl ℂ f (ball c R)) : deriv f c = (2 * π * I : ℂ)⁻¹ • ∮ z in C(c, R), (z - c) ^ (-2 : ℤ) • f z := by lift R to ℝ≥0 using hR.le refine (hf.hasFPowerSeriesOnBall hR).hasFPowerSeriesAt.deriv.trans ?_ simp only [cauchyPowerSeries_apply, one_div, zpow_neg, pow_one, smul_smul, zpow_two, mul_inv] #align complex.deriv_eq_smul_circle_integral Complex.deriv_eq_smul_circleIntegral theorem norm_deriv_le_aux [CompleteSpace F] {c : ℂ} {R C : ℝ} {f : ℂ → F} (hR : 0 < R) (hf : DiffContOnCl ℂ f (ball c R)) (hC : ∀ z ∈ sphere c R, ‖f z‖ ≤ C) : ‖deriv f c‖ ≤ C / R := by have : ∀ z ∈ sphere c R, ‖(z - c) ^ (-2 : ℤ) • f z‖ ≤ C / (R * R) := fun z (hz : abs (z - c) = R) => by simpa [-mul_inv_rev, norm_smul, hz, zpow_two, ← div_eq_inv_mul] using (div_le_div_right (mul_pos hR hR)).2 (hC z hz) calc ‖deriv f c‖ = ‖(2 * π * I : ℂ)⁻¹ • ∮ z in C(c, R), (z - c) ^ (-2 : ℤ) • f z‖ := congr_arg norm (deriv_eq_smul_circleIntegral hR hf) _ ≤ R * (C / (R * R)) := (circleIntegral.norm_two_pi_i_inv_smul_integral_le_of_norm_le_const hR.le this) _ = C / R := by rw [mul_div_left_comm, div_self_mul_self', div_eq_mul_inv] #align complex.norm_deriv_le_aux Complex.norm_deriv_le_aux theorem norm_deriv_le_of_forall_mem_sphere_norm_le {c : ℂ} {R C : ℝ} {f : ℂ → F} (hR : 0 < R) (hd : DiffContOnCl ℂ f (ball c R)) (hC : ∀ z ∈ sphere c R, ‖f z‖ ≤ C) : ‖deriv f c‖ ≤ C / R := by set e : F →L[ℂ] F̂ := UniformSpace.Completion.toComplL have : HasDerivAt (e ∘ f) (e (deriv f c)) c := e.hasFDerivAt.comp_hasDerivAt c (hd.differentiableAt isOpen_ball <| mem_ball_self hR).hasDerivAt calc ‖deriv f c‖ = ‖deriv (e ∘ f) c‖ := by rw [this.deriv] exact (UniformSpace.Completion.norm_coe _).symm _ ≤ C / R := norm_deriv_le_aux hR (e.differentiable.comp_diffContOnCl hd) fun z hz => (UniformSpace.Completion.norm_coe _).trans_le (hC z hz) #align complex.norm_deriv_le_of_forall_mem_sphere_norm_le Complex.norm_deriv_le_of_forall_mem_sphere_norm_le
Mathlib/Analysis/Complex/Liouville.lean
88
101
theorem liouville_theorem_aux {f : ℂ → F} (hf : Differentiable ℂ f) (hb : IsBounded (range f)) (z w : ℂ) : f z = f w := by
suffices ∀ c, deriv f c = 0 from is_const_of_deriv_eq_zero hf this z w clear z w; intro c obtain ⟨C, C₀, hC⟩ : ∃ C > (0 : ℝ), ∀ z, ‖f z‖ ≤ C := by rcases isBounded_iff_forall_norm_le.1 hb with ⟨C, hC⟩ exact ⟨max C 1, lt_max_iff.2 (Or.inr zero_lt_one), fun z => (hC (f z) (mem_range_self _)).trans (le_max_left _ _)⟩ refine norm_le_zero_iff.1 (le_of_forall_le_of_dense fun ε ε₀ => ?_) calc ‖deriv f c‖ ≤ C / (C / ε) := norm_deriv_le_of_forall_mem_sphere_norm_le (div_pos C₀ ε₀) hf.diffContOnCl fun z _ => hC z _ = ε := div_div_cancel' C₀.lt.ne'
0
import Mathlib.Analysis.Convex.Combination import Mathlib.Analysis.Convex.Extreme #align_import analysis.convex.independent from "leanprover-community/mathlib"@"fefd8a38be7811574cd2ec2f77d3a393a407f112" open scoped Classical open Affine open Finset Function variable {𝕜 E ι : Type*} section OrderedSemiring variable (𝕜) [OrderedSemiring 𝕜] [AddCommGroup E] [Module 𝕜 E] {s t : Set E} def ConvexIndependent (p : ι → E) : Prop := ∀ (s : Set ι) (x : ι), p x ∈ convexHull 𝕜 (p '' s) → x ∈ s #align convex_independent ConvexIndependent variable {𝕜} theorem Subsingleton.convexIndependent [Subsingleton ι] (p : ι → E) : ConvexIndependent 𝕜 p := by intro s x hx have : (convexHull 𝕜 (p '' s)).Nonempty := ⟨p x, hx⟩ rw [convexHull_nonempty_iff, Set.image_nonempty] at this rwa [Subsingleton.mem_iff_nonempty] #align subsingleton.convex_independent Subsingleton.convexIndependent protected theorem ConvexIndependent.injective {p : ι → E} (hc : ConvexIndependent 𝕜 p) : Function.Injective p := by refine fun i j hij => hc {j} i ?_ rw [hij, Set.image_singleton, convexHull_singleton] exact Set.mem_singleton _ #align convex_independent.injective ConvexIndependent.injective theorem ConvexIndependent.comp_embedding {ι' : Type*} (f : ι' ↪ ι) {p : ι → E} (hc : ConvexIndependent 𝕜 p) : ConvexIndependent 𝕜 (p ∘ f) := by intro s x hx rw [← f.injective.mem_set_image] exact hc _ _ (by rwa [Set.image_image]) #align convex_independent.comp_embedding ConvexIndependent.comp_embedding protected theorem ConvexIndependent.subtype {p : ι → E} (hc : ConvexIndependent 𝕜 p) (s : Set ι) : ConvexIndependent 𝕜 fun i : s => p i := hc.comp_embedding (Embedding.subtype _) #align convex_independent.subtype ConvexIndependent.subtype protected theorem ConvexIndependent.range {p : ι → E} (hc : ConvexIndependent 𝕜 p) : ConvexIndependent 𝕜 ((↑) : Set.range p → E) := by let f : Set.range p → ι := fun x => x.property.choose have hf : ∀ x, p (f x) = x := fun x => x.property.choose_spec let fe : Set.range p ↪ ι := ⟨f, fun x₁ x₂ he => Subtype.ext (hf x₁ ▸ hf x₂ ▸ he ▸ rfl)⟩ convert hc.comp_embedding fe ext rw [Embedding.coeFn_mk, comp_apply, hf] #align convex_independent.range ConvexIndependent.range protected theorem ConvexIndependent.mono {s t : Set E} (hc : ConvexIndependent 𝕜 ((↑) : t → E)) (hs : s ⊆ t) : ConvexIndependent 𝕜 ((↑) : s → E) := hc.comp_embedding (s.embeddingOfSubset t hs) #align convex_independent.mono ConvexIndependent.mono theorem Function.Injective.convexIndependent_iff_set {p : ι → E} (hi : Function.Injective p) : ConvexIndependent 𝕜 ((↑) : Set.range p → E) ↔ ConvexIndependent 𝕜 p := ⟨fun hc => hc.comp_embedding (⟨fun i => ⟨p i, Set.mem_range_self _⟩, fun _ _ h => hi (Subtype.mk_eq_mk.1 h)⟩ : ι ↪ Set.range p), ConvexIndependent.range⟩ #align function.injective.convex_independent_iff_set Function.Injective.convexIndependent_iff_set @[simp] protected theorem ConvexIndependent.mem_convexHull_iff {p : ι → E} (hc : ConvexIndependent 𝕜 p) (s : Set ι) (i : ι) : p i ∈ convexHull 𝕜 (p '' s) ↔ i ∈ s := ⟨hc _ _, fun hi => subset_convexHull 𝕜 _ (Set.mem_image_of_mem p hi)⟩ #align convex_independent.mem_convex_hull_iff ConvexIndependent.mem_convexHull_iff theorem convexIndependent_iff_not_mem_convexHull_diff {p : ι → E} : ConvexIndependent 𝕜 p ↔ ∀ i s, p i ∉ convexHull 𝕜 (p '' (s \ {i})) := by refine ⟨fun hc i s h => ?_, fun h s i hi => ?_⟩ · rw [hc.mem_convexHull_iff] at h exact h.2 (Set.mem_singleton _) · by_contra H refine h i s ?_ rw [Set.diff_singleton_eq_self H] exact hi #align convex_independent_iff_not_mem_convex_hull_diff convexIndependent_iff_not_mem_convexHull_diff theorem convexIndependent_set_iff_inter_convexHull_subset {s : Set E} : ConvexIndependent 𝕜 ((↑) : s → E) ↔ ∀ t, t ⊆ s → s ∩ convexHull 𝕜 t ⊆ t := by constructor · rintro hc t h x ⟨hxs, hxt⟩ refine hc { x | ↑x ∈ t } ⟨x, hxs⟩ ?_ rw [Subtype.coe_image_of_subset h] exact hxt · intro hc t x h rw [← Subtype.coe_injective.mem_set_image] exact hc (t.image ((↑) : s → E)) (Subtype.coe_image_subset s t) ⟨x.prop, h⟩ #align convex_independent_set_iff_inter_convex_hull_subset convexIndependent_set_iff_inter_convexHull_subset
Mathlib/Analysis/Convex/Independent.lean
158
166
theorem convexIndependent_set_iff_not_mem_convexHull_diff {s : Set E} : ConvexIndependent 𝕜 ((↑) : s → E) ↔ ∀ x ∈ s, x ∉ convexHull 𝕜 (s \ {x}) := by
rw [convexIndependent_set_iff_inter_convexHull_subset] constructor · rintro hs x hxs hx exact (hs _ Set.diff_subset ⟨hxs, hx⟩).2 (Set.mem_singleton _) · rintro hs t ht x ⟨hxs, hxt⟩ by_contra h exact hs _ hxs (convexHull_mono (Set.subset_diff_singleton ht h) hxt)
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