mathlib-initiative/mathlib-tactics huggingface dataset:
Module: Mathlib.CategoryTheory.Limits.Shapes.Pullback.PullbackObjObj

Goal state before:
pp: C₁ : Type u₁
C₂ : Type u₂
C₃ : Type u₃
inst✝² : Category.{v₁, u₁} C₁
inst✝¹ : Category.{v₂, u₂} C₂
inst✝ : Category.{v₃, u₃} C₃
G : C₁ᵒᵖ ⥤ C₃ ⥤ C₂
f₁ f₁' : Arrow C₁
f₃ : Arrow C₃
sq₁₃ : G.PullbackObjObj f₁.hom f₃.hom
sq₁₃' : G.PullbackObjObj f₁'.hom f₃.hom
f₁'' : Arrow C₁
sq₁₃'' : G.PullbackObjObj f₁''.hom f₃.hom
sq' : f₁'' ⟶ f₁'
sq : f₁' ⟶ f₁
⊢ sq₁₃.mapArrowLeft sq₁₃' sq ≫ sq₁₃'.mapArrowLeft sq₁₃'' sq' = sq₁₃.mapArrowLeft sq₁₃'' (sq' ≫ sq)

Tactic:
by cat_disch

Goal state after:
Module: Mathlib.CategoryTheory.Limits.Shapes.Pullback.PullbackObjObj

Goal state before:
pp: C₁ : Type u₁
C₂ : Type u₂
C₃ : Type u₃
inst✝² : Category.{v₁, u₁} C₁
inst✝¹ : Category.{v₂, u₂} C₂
inst✝ : Category.{v₃, u₃} C₃
G : C₁ᵒᵖ ⥤ C₃ ⥤ C₂
f₁ : Arrow C₁
f₃ : Arrow C₃
sq₁₃ : G.PullbackObjObj f₁.hom f₃.hom
⊢ sq₁₃.mapArrowRight sq₁₃ (𝟙 f₃) = 𝟙 (Arrow.mk sq₁₃.π)

Tactic:
by cat_disch

Goal state after:
Module: Mathlib.CategoryTheory.Limits.Shapes.Pullback.PullbackObjObj

Goal state before:
pp: C₁ : Type u₁
C₂ : Type u₂
C₃ : Type u₃
inst✝² : Category.{v₁, u₁} C₁
inst✝¹ : Category.{v₂, u₂} C₂
inst✝ : Category.{v₃, u₃} C₃
G : C₁ᵒᵖ ⥤ C₃ ⥤ C₂
f₁ : Arrow C₁
f₃ f₃' : Arrow C₃
sq₁₃ : G.PullbackObjObj f₁.hom f₃.hom
sq₁₃' : G.PullbackObjObj f₁.hom f₃'.hom
f₃'' : Arrow C₃
sq₁₃'' : G.PullbackObjObj f₁.hom f₃''.hom
sq : f₃ ⟶ f₃'
sq' : f₃' ⟶ f₃''
⊢ sq₁₃.mapArrowRight sq₁₃' sq ≫ sq₁₃'.mapArrowRight sq₁₃'' sq' = sq₁₃.mapArrowRight sq₁₃'' (sq ≫ sq')

Tactic:
by cat_disch

Goal state after:
Module: Mathlib.AlgebraicTopology.SimplicialSet.Homotopy

Goal state before:
pp: X Y : SSet
f g : X ⟶ Y
H : Homotopy f g
n : ℕ
i : Fin (n + 2)
j : Fin (n + 1)
hij : j.castSucc < i
x : X _⦋n + 1⦌
k : Fin (n + 1 + 1)
⊢ j.castSucc.castSucc.succ ≤ i.succ.castSucc

Tactic:
simpa using! Fin.le_of_lt hij

Goal state after:
Module: Mathlib.AlgebraicTopology.SimplicialSet.KanComplex.MulStruct

Goal state before:
pp: case succ
X : SSet
x : X _⦋0⦌
n : ℕ
f : X.PtSimplex (n + 1) x
i : Fin (n + 1)
j : Fin (n + 1 + 1)
hj : j.castSucc < i.succ.castSucc
⊢ stdSimplex.δ j.castSucc ≫ stdSimplex.σ i.succ ≫ f.map = const x

Tactic:
· rw [stdSimplex.δ_comp_σ_of_le_assoc (by grind), δ_map, comp_const]

Goal state after:
Module: Mathlib.Topology.Algebra.Module.Cardinality

Goal state before:
pp: 𝕜 : Type u
E : Type v
inst✝⁴ : NontriviallyNormedField 𝕜
inst✝³ : CompleteSpace 𝕜
inst✝² : AddCommGroup E
inst✝¹ : Module 𝕜 E
inst✝ : Nontrivial E
⊢ 𝔠 ≤ #E

Tactic:
by
  have A : lift.{v} (𝔠 : Cardinal.{u}) ≤ lift.{v} (#𝕜) := by
    simpa using continuum_le_cardinal_of_nontriviallyNormedField 𝕜
  simpa using A.trans (Cardinal.mk_le_of_module 𝕜 E)

Goal state after:
Module: Mathlib.Analysis.Normed.Module.Connected

Goal state before:
pp: F : Type u_1
inst✝⁴ : AddCommGroup F
inst✝³ : Module ℝ F
inst✝² : TopologicalSpace F
inst✝¹ : IsTopologicalAddGroup F
inst✝ : ContinuousSMul ℝ F
E : Submodule ℝ F
hcodim : 1 < Module.rank ℝ (F ⧸ E)
⊢ IsPathConnected (↑E)ᶜ

Tactic:
rcases E.exists_isCompl with ⟨E', hE'⟩
  refine isPathConnected_compl_of_isPathConnected_compl_zero hE'.symm
    (isPathConnected_compl_singleton_of_one_lt_rank ?_ 0)
  rwa [← (E.quotientEquivOfIsCompl E' hE').rank_eq]

Goal state after:
Module: Mathlib.Analysis.AbsoluteValue.Equivalence

Goal state before:
pp: F : Type u_1
inst✝ : Field F
v w : AbsoluteValue F ℝ
h : v.IsEquiv w
a : F
ha₀ : a ≠ 0
ha₁ : v a ≠ 1
b : F
hb₀ : b ≠ 0
hb₁ : v b ≠ 1
h_ne : log (v b) / log (w b) ≠ log (v a) / log (w a)
ha : 1 < v a
hb : 1 < v b
h_lt : log (v b) / log (v a) < log (w b) / log (w a)
hwa : 1 < w a
hwb : 1 < w b
q : ℚ
hq₁ : v b ^ q.den < v a ^ q.num
hq₂ : ↑q.num / ↑q.den < log (w b) / log (w a)
⊢ False

Tactic:
← div_lt_one (zpow_pos (by linarith) _),

Goal state after:
F : Type u_1
inst✝ : Field F
v w : AbsoluteValue F ℝ
h : v.IsEquiv w
a : F
ha₀ : a ≠ 0
ha₁ : v a ≠ 1
b : F
hb₀ : b ≠ 0
hb₁ : v b ≠ 1
h_ne : log (v b) / log (w b) ≠ log (v a) / log (w a)
ha : 1 < v a
hb : 1 < v b
h_lt : log (v b) / log (v a) < log (w b) / log (w a)
hwa : 1 < w a
hwb : 1 < w b
q : ℚ
hq₁ : v b ^ q.den / v a ^ q.num < 1
hq₂ : ↑q.num / ↑q.den < log (w b) / log (w a)
⊢ False
Module: Mathlib.Analysis.AbsoluteValue.Equivalence

Goal state before:
pp: case pos
F : Type u_1
inst✝ : Field F
v w : AbsoluteValue F ℝ
h : v.IsEquiv w
hw : w.IsNontrivial
a : F
ha₀ : a ≠ 0
ha₁ : w a ≠ 1
⊢ ∃ c, 0 < c ∧ (fun x ↦ v x ^ c) = ⇑w

Tactic:
refine ⟨(w a).log / (v a).log, h.log_div_log_pos ha₀ ha₁, funext fun b ↦ ?_⟩

Goal state after:
case pos
F : Type u_1
inst✝ : Field F
v w : AbsoluteValue F ℝ
h : v.IsEquiv w
hw : w.IsNontrivial
a : F
ha₀ : a ≠ 0
ha₁ : w a ≠ 1
b : F
⊢ v b ^ (log (w a) / log (v a)) = w b
Module: Mathlib.AlgebraicTopology.SimplicialSet.NerveAdjunction

Goal state before:
pp: X : Truncated 2
C : Type u
inst✝ : SmallCategory C
X' : Truncated 2
ψ : X ⟶ X'
φ : X' ⟶ (truncation 2).obj (nerve C)
⊢ ∀ ⦃x y : X.obj (op { obj := ⦋0⦌, property := OneTruncation₂._proof_1 })⦄ (e : Edge x y),
    (descOfTruncation (ψ ≫ φ)).map (homMk e) =
      eqToHom ⋯ ≫ (mapHomotopyCategory ψ ⋙ descOfTruncation φ).map (homMk e) ≫ eqToHom ⋯

Tactic:
by cat_disch

Goal state after:
Module: Mathlib.Analysis.Analytic.Order

Goal state before:
pp: case top
𝕜 : Type u_1
E : Type u_2
inst✝⁴ : NontriviallyNormedField 𝕜
inst✝³ : NormedAddCommGroup E
inst✝² : NormedSpace 𝕜 E
f : 𝕜 → E
x : 𝕜
hf : AnalyticAt 𝕜 f x
inst✝¹ : CompleteSpace E
inst✝ : CharZero 𝕜
h : analyticOrderAt (fun x_1 ↦ f x_1 - f x) x = ⊤
⊢ analyticOrderAt (deriv f) x = ⊤

Tactic:
simp only [analyticOrderAt_eq_top, sub_eq_zero] at h ⊢

Goal state after:
case top
𝕜 : Type u_1
E : Type u_2
inst✝⁴ : NontriviallyNormedField 𝕜
inst✝³ : NormedAddCommGroup E
inst✝² : NormedSpace 𝕜 E
f : 𝕜 → E
x : 𝕜
hf : AnalyticAt 𝕜 f x
inst✝¹ : CompleteSpace E
inst✝ : CharZero 𝕜
h : ∀ᶠ (z : 𝕜) in 𝓝 x, f z = f x
⊢ ∀ᶠ (z : 𝕜) in 𝓝 x, deriv f z = 0
Module: Mathlib.AlgebraicTopology.SimplicialSet.NerveAdjunction

Goal state before:
pp: X : Truncated 2
C D : Type u
inst✝¹ : SmallCategory C
inst✝ : SmallCategory D
F : X.HomotopyCategory ⥤ C
x y : X.obj (op { obj := ⦋0⦌, property := OneTruncation₂._proof_1 })
f : Edge x y
⊢ (nerve.homEquiv.symm (nerve.homEquiv (f.map (homToNerveMk F)))).edge = (nerve.homEquiv.symm (F.map (homMk f))).edge

Tactic:
by cat_disch

Goal state after:
Module: Mathlib.AlgebraicTopology.SimplicialSet.NerveAdjunction

Goal state before:
pp: C D : Type u
inst✝¹ : SmallCategory C
inst✝ : SmallCategory D
F : C ⥤ D
x : C
⊢ (functorOfNerveMap ((SSet.truncation 2).map (nerveMap F))).obj x = F.obj x

Tactic:
by cat_disch

Goal state after:
Module: Mathlib.AlgebraicTopology.SimplicialSet.NerveAdjunction

Goal state before:
pp: C D : Type u
inst✝¹ : SmallCategory C
inst✝ : SmallCategory D
F : C ⥤ D
x y : C
f : x ⟶ y
⊢ (functorOfNerveMap ((SSet.truncation 2).map (nerveMap F))).map f = eqToHom ⋯ ≫ F.map f ≫ eqToHom ⋯

Tactic:
by cat_disch

Goal state after:
Module: Mathlib.Analysis.Calculus.FDeriv.Extend

Goal state before:
pp: E : Type u_1
inst✝³ : NormedAddCommGroup E
inst✝² : NormedSpace ℝ E
F : Type u_2
inst✝¹ : NormedAddCommGroup F
inst✝ : NormedSpace ℝ F
f : E → F
s : Set E
x : E
f' : E →L[ℝ] F
f_diff : DifferentiableOn ℝ f s
s_conv : Convex ℝ s
s_open : IsOpen[PseudoMetricSpace.toUniformSpace.toTopologicalSpace] s
f_cont : ∀ y ∈ closure[PseudoMetricSpace.toUniformSpace.toTopologicalSpace] s, ContinuousWithinAt f s y
h : Tendsto (fun y ↦ fderiv ℝ f y) (𝓝[s] x) (𝓝 f')
hx : x ∈ closure[PseudoMetricSpace.toUniformSpace.toTopologicalSpace] s
ε : ℝ
ε_pos : 0 < ε
δ : ℝ
δ_pos : δ > 0
hδ : ∀ y ∈ s, dist y x < δ → ‖fderiv ℝ f y - f'‖ < ε
B : Set E := ball x δ
key : ∀ p ∈ (B ∩ s) ×ˢ (B ∩ s), ‖f p.2 - f p.1 - (f' p.2 - f' p.1)‖ ≤ ε * ‖p.2 - p.1‖
u v : E
uv_in : (u, v) ∈ closure[instTopologicalSpaceProd] ((B ∩ s) ×ˢ (B ∩ s))
y : E
y_in : y ∈ closure[PseudoMetricSpace.toUniformSpace.toTopologicalSpace] s
⊢ ContinuousWithinAt (f - ⇑f') s y

Tactic:
exact Tendsto.sub (f_cont y y_in) f'.cont.continuousWithinAt

Goal state after:
Module: Mathlib.Analysis.Meromorphic.Basic

Goal state before:
pp: 𝕜 : Type u_1
inst✝³ : NontriviallyNormedField 𝕜
E : Type u_3
inst✝² : NormedAddCommGroup E
inst✝¹ : NormedSpace 𝕜 E
inst✝ : CompleteSpace E
f : 𝕜 → E
x : 𝕜
n : ℤ
g : 𝕜 → E
h₁g : AnalyticAt 𝕜 g x
h₂g : ∀ᶠ (z : 𝕜) in 𝓝[≠] x, f z = (z - x) ^ n • g z
this : (deriv fun z ↦ (z - x) ^ n • g z) =ᶠ[𝓝[≠] x] fun z ↦ (↑n * (z - x) ^ (n - 1)) • g z + (z - x) ^ n • deriv g z
⊢ MeromorphicAt (deriv f) x

Tactic:
MeromorphicAt.meromorphicAt_congr (Filter.EventuallyEq.nhdsNE_deriv h₂g),

Goal state after:
𝕜 : Type u_1
inst✝³ : NontriviallyNormedField 𝕜
E : Type u_3
inst✝² : NormedAddCommGroup E
inst✝¹ : NormedSpace 𝕜 E
inst✝ : CompleteSpace E
f : 𝕜 → E
x : 𝕜
n : ℤ
g : 𝕜 → E
h₁g : AnalyticAt 𝕜 g x
h₂g : ∀ᶠ (z : 𝕜) in 𝓝[≠] x, f z = (z - x) ^ n • g z
this : (deriv fun z ↦ (z - x) ^ n • g z) =ᶠ[𝓝[≠] x] fun z ↦ (↑n * (z - x) ^ (n - 1)) • g z + (z - x) ^ n • deriv g z
⊢ MeromorphicAt (deriv fun x_1 ↦ (x_1 - x) ^ n • g x_1) x
Module: Mathlib.RingTheory.Binomial

Goal state before:
pp: r n : ℕ
⊢ n ! • r.multichoose n = (ascPochhammer ℕ n).smeval r

Tactic:
rw [smul_eq_mul, Nat.multichoose_eq r n, ← Nat.descFactorial_eq_factorial_mul_choose,
      ← eval_eq_smeval r (ascPochhammer ℕ n), ascPochhammer_nat_eq_descFactorial]

Goal state after:
Module: Mathlib.Analysis.Meromorphic.Basic

Goal state before:
pp: 𝕜 : Type u_1
inst✝² : NontriviallyNormedField 𝕜
E : Type u_3
inst✝¹ : NormedAddCommGroup E
inst✝ : NormedSpace 𝕜 E
f : 𝕜 → E
c : 𝕜
R : ℝ
⊢ MeromorphicOn f (sphere c R - {c}) ↔ MeromorphicOn f (sphere 0 R)

Tactic:
sphere_sub_singleton,

Goal state after:
𝕜 : Type u_1
inst✝² : NontriviallyNormedField 𝕜
E : Type u_3
inst✝¹ : NormedAddCommGroup E
inst✝ : NormedSpace 𝕜 E
f : 𝕜 → E
c : 𝕜
R : ℝ
⊢ MeromorphicOn f (sphere (c - c) R) ↔ MeromorphicOn f (sphere 0 R)
Module: Mathlib.RingTheory.Binomial

Goal state before:
pp: R : Type u_2
inst✝³ : NonAssocRing R
inst✝² : Pow R ℕ
inst✝¹ : NatPowAssoc R
inst✝ : BinomialRing R
k : ℕ
h_pos : 0 < k
⊢ choose 0 k = 0

Tactic:
rw [← Nat.succ_pred_eq_of_pos h_pos, choose_zero_succ]

Goal state after:
Module: Mathlib.Analysis.Analytic.IteratedFDeriv

Goal state before:
pp: 𝕜 : Type u_1
inst✝⁴ : NontriviallyNormedField 𝕜
E : Type u_2
inst✝³ : NormedAddCommGroup E
inst✝² : NormedSpace 𝕜 E
F : Type u_3
inst✝¹ : NormedAddCommGroup F
inst✝ : NormedSpace 𝕜 F
f : E → F
p : FormalMultilinearSeries 𝕜 E F
s : Set E
x : E
r : ℝ≥0∞
h : HasFPowerSeriesWithinOnBall f p s x r
h' : AnalyticOn 𝕜 f s
hs : UniqueDiffOn 𝕜 s
hx : x ∈ s
n : ℕ
v : Fin n → E
h's : s ⊆ Metric.eball x r
I : insert x s ∩ Metric.eball x r = s
fcont : ContDiffOn 𝕜 (↑n) f s
g : E → F := fun z ↦ (p n) fun x_1 ↦ z - x
⊢ (iteratedFDerivWithin 𝕜 n f s x) v = ∑ σ, (p n) fun i ↦ v (σ i)

Tactic:
have gcont : ContDiff 𝕜 ω g := by
    apply (p n).contDiff.comp
    exact contDiff_pi.2 (fun i ↦ contDiff_id.sub contDiff_const)

Goal state after:
𝕜 : Type u_1
inst✝⁴ : NontriviallyNormedField 𝕜
E : Type u_2
inst✝³ : NormedAddCommGroup E
inst✝² : NormedSpace 𝕜 E
F : Type u_3
inst✝¹ : NormedAddCommGroup F
inst✝ : NormedSpace 𝕜 F
f : E → F
p : FormalMultilinearSeries 𝕜 E F
s : Set E
x : E
r : ℝ≥0∞
h : HasFPowerSeriesWithinOnBall f p s x r
h' : AnalyticOn 𝕜 f s
hs : UniqueDiffOn 𝕜 s
hx : x ∈ s
n : ℕ
v : Fin n → E
h's : s ⊆ Metric.eball x r
I : insert x s ∩ Metric.eball x r = s
fcont : ContDiffOn 𝕜 (↑n) f s
g : E → F := fun z ↦ (p n) fun x_1 ↦ z - x
gcont : ContDiff 𝕜 ω g
⊢ (iteratedFDerivWithin 𝕜 n f s x) v = ∑ σ, (p n) fun i ↦ v (σ i)
Module: Mathlib.Analysis.Analytic.Binomial

Goal state before:
pp: w x : ℂ
hw : w ≠ x
⊢ HasFPowerSeriesOnBall (fun z ↦ 1 / (z - w) ^ 2 - 1 / w ^ 2)
    (FormalMultilinearSeries.ofScalars ℂ fun i ↦ (↑i + 1) * (w - x) ^ (-↑(i + 2)) - Nat.casesOn i (w ^ (-2)) 0) x
    ‖w - x‖ₑ

Tactic:
rw [← Pi.sub_def, ← Pi.sub_def, FormalMultilinearSeries.ofScalars_sub]

Goal state after:
w x : ℂ
hw : w ≠ x
⊢ HasFPowerSeriesOnBall ((fun z ↦ 1 / (z - w) ^ 2) - fun z ↦ 1 / w ^ 2)
    ((FormalMultilinearSeries.ofScalars ℂ fun i ↦ (↑i + 1) * (w - x) ^ (-↑(i + 2))) -
      FormalMultilinearSeries.ofScalars ℂ fun i ↦ Nat.casesOn i (w ^ (-2)) 0)
    x ‖w - x‖ₑ
Module: Mathlib.Analysis.SpecialFunctions.Log.ERealExp

Goal state before:
pp: case coe
a✝ : ℝ
⊢ ENNReal.ofReal (Real.exp (-a✝)) = (ENNReal.ofReal (Real.exp a✝))⁻¹

Tactic:
← ENNReal.ofReal_inv_of_pos (Real.exp_pos _),

Goal state after:
case coe
a✝ : ℝ
⊢ ENNReal.ofReal (Real.exp (-a✝)) = ENNReal.ofReal (Real.exp a✝)⁻¹
Module: Mathlib.Analysis.Asymptotics.LinearGrowth

Goal state before:
pp: u : ℕ → EReal
a b : EReal
x✝¹ : b > a
n : ℕ
x✝ : 1 ≤ n
⊢ u n / ↑n ≤ b ↔ u n ≤ b * ↑n

Tactic:
div_le_iff_le_mul (by norm_cast) (natCast_ne_top n),

Goal state after:
u : ℕ → EReal
a b : EReal
x✝¹ : b > a
n : ℕ
x✝ : 1 ≤ n
⊢ u n ≤ ↑n * b ↔ u n ≤ b * ↑n
Module: Mathlib.Analysis.Asymptotics.LinearGrowth

Goal state before:
pp: ⊢ linearGrowthInf ⊥ = ⊥

Tactic:
by
  apply le_bot_iff.1
  rw [← linearGrowthSup_bot]
  exact linearGrowthInf_le_linearGrowthSup

Goal state after:
Module: Mathlib.Analysis.Asymptotics.ExpGrowth

Goal state before:
pp: u : ℕ → ℝ≥0∞
a b : EReal
x✝¹ : b > a
n : ℕ
x✝ : 1 ≤ n
⊢ (u n).log / ↑n ≤ b ↔ u n ≤ (b * ↑n).exp

Tactic:
div_le_iff_le_mul (by norm_cast) (natCast_ne_top n),

Goal state after:
u : ℕ → ℝ≥0∞
a b : EReal
x✝¹ : b > a
n : ℕ
x✝ : 1 ≤ n
⊢ (u n).log ≤ ↑n * b ↔ u n ≤ (b * ↑n).exp
Module: Mathlib.Analysis.Asymptotics.SuperpolynomialDecay

Goal state before:
pp: α : Type u_1
β : Type u_2
l : Filter α
k f : α → β
inst✝⁴ : TopologicalSpace β
inst✝³ : Field β
inst✝² : LinearOrder β
inst✝¹ : IsStrictOrderedRing β
inst✝ : OrderTopology β
hk : Tendsto k l atTop
n : ℕ
⊢ SuperpolynomialDecay l k (k ^ n * f) ↔ SuperpolynomialDecay l k f

Tactic:
induction n with
  | zero => simp
  | succ n hn =>
    simpa [pow_succ, ← mul_comm k, mul_assoc,
      superpolynomialDecay_param_mul_iff (k ^ n * f) hk] using hn

Goal state after:
Module: Mathlib.Analysis.Asymptotics.LinearGrowth

Goal state before:
pp: u : ℕ → EReal
v : ℕ → ℕ
hu : 0 ≤ᶠ[atTop] u
hv : Tendsto v atTop atTop
uv_0 : 0 ≤ linearGrowthInf (u ∘ v)
a : EReal
x✝¹ : a ∈ Set.Ioo 0 (linearGrowthInf fun n ↦ ↑(v n))
b : EReal
x✝ : b ∈ Set.Ioo 0 (linearGrowthInf u)
left✝ : 0 < a
a_v : a < linearGrowthInf fun n ↦ ↑(v n)
b_0 : 0 < b
b_u : b < linearGrowthInf u
b_uv : ∀ᶠ (a : ℕ) in atTop, b * ↑(v a) ≤ u (v a)
n : ℕ
b_uvn : b * ↑(v n) ≤ u (v n)
n_0 : 0 < n
a_vn : a * ↑n ≤ ↑(v n)
⊢ b * a * ↑n ≤ u (v n)

Tactic:
mul_assoc b a

Goal state after:
u : ℕ → EReal
v : ℕ → ℕ
hu : 0 ≤ᶠ[atTop] u
hv : Tendsto v atTop atTop
uv_0 : 0 ≤ linearGrowthInf (u ∘ v)
a : EReal
x✝¹ : a ∈ Set.Ioo 0 (linearGrowthInf fun n ↦ ↑(v n))
b : EReal
x✝ : b ∈ Set.Ioo 0 (linearGrowthInf u)
left✝ : 0 < a
a_v : a < linearGrowthInf fun n ↦ ↑(v n)
b_0 : 0 < b
b_u : b < linearGrowthInf u
b_uv : ∀ᶠ (a : ℕ) in atTop, b * ↑(v a) ≤ u (v a)
n : ℕ
b_uvn : b * ↑(v n) ≤ u (v n)
n_0 : 0 < n
a_vn : a * ↑n ≤ ↑(v n)
⊢ b * (a * ↑n) ≤ u (v n)
Module: Mathlib.Analysis.Asymptotics.LinearGrowth

Goal state before:
pp: u : ℕ → EReal
v : ℕ → ℕ
hu : ∃ᶠ (n : ℕ) in atTop, 0 ≤ u n
hv₀ : (linearGrowthSup fun n ↦ ↑(v n)) ≠ 0
hv₁ : (linearGrowthSup fun n ↦ ↑(v n)) ≠ ⊤
hv₂ : Tendsto v atTop atTop
v_0 : 0 < linearGrowthSup fun n ↦ ↑(v n)
a : EReal
v_a : a > linearGrowthSup fun n ↦ ↑(v n)
b : EReal
u_b : b > linearGrowthSup u
b_0 : 0 ≤ b
uv_b : ∀ᶠ (n : ℕ) in atTop, u (v n) ≤ b * ↑(v n)
n : ℕ
uvn_b : u (v n) ≤ b * ↑(v n)
n_0 : 0 < n
vn_a : ↑(v n) ≤ a * ↑n
⊢ u (v n) ≤ b * a * ↑n

Tactic:
mul_assoc b a

Goal state after:
u : ℕ → EReal
v : ℕ → ℕ
hu : ∃ᶠ (n : ℕ) in atTop, 0 ≤ u n
hv₀ : (linearGrowthSup fun n ↦ ↑(v n)) ≠ 0
hv₁ : (linearGrowthSup fun n ↦ ↑(v n)) ≠ ⊤
hv₂ : Tendsto v atTop atTop
v_0 : 0 < linearGrowthSup fun n ↦ ↑(v n)
a : EReal
v_a : a > linearGrowthSup fun n ↦ ↑(v n)
b : EReal
u_b : b > linearGrowthSup u
b_0 : 0 ≤ b
uv_b : ∀ᶠ (n : ℕ) in atTop, u (v n) ≤ b * ↑(v n)
n : ℕ
uvn_b : u (v n) ≤ b * ↑(v n)
n_0 : 0 < n
vn_a : ↑(v n) ≤ a * ↑n
⊢ u (v n) ≤ b * (a * ↑n)
Module: Mathlib.Analysis.Asymptotics.LinearGrowth

Goal state before:
pp: case neg.inr.refine_2
u : ℕ → EReal
v : ℕ → ℕ
h : Monotone u
hv₀ : (linearGrowthSup fun n ↦ ↑(v n)) ≠ 0
hv₁ : (linearGrowthSup fun n ↦ ↑(v n)) ≠ ⊤
u_0 : ¬u = ⊥
v_0 : 0 < linearGrowthSup fun n ↦ ↑(v n)
a : EReal
v_a : a > linearGrowthSup fun n ↦ ↑(v n)
b : EReal
a_0 : 0 < a
b_0 : 0 < b
a_top : a ≠ ⊤
a' : EReal
a_a' : a' < a
a_0' : 0 < a'
a_a_inv' : a⁻¹ < a'⁻¹
v_a' : ∀ᶠ (n : ℕ) in atTop, ↑(v n) ≤ a' * ↑n
u_b : ∃ᶠ (x : ℕ) in atTop, (u x ≤ b * ↑x ∧ 0 < x) ∧ ∃ m, a⁻¹ * ↑x ≤ ↑m ∧ ↑m ≤ a'⁻¹ * ↑x
M M' : ℕ
aM_M' : a * ↑M ≤ ↑M'
n : ℕ
n_M' : M' ≤ n
un_bn : u n ≤ b * ↑n
right✝ : 0 < n
k : ℕ
an_k : a⁻¹ * ↑n ≤ ↑k
k_an' : ↑k ≤ a'⁻¹ * ↑n
vk_ak' : ↑(v k) ≤ a' * ↑k
⊢ u (v k) ≤ b * a * ↑k

Tactic:
mul_assoc b a

Goal state after:
case neg.inr.refine_2
u : ℕ → EReal
v : ℕ → ℕ
h : Monotone u
hv₀ : (linearGrowthSup fun n ↦ ↑(v n)) ≠ 0
hv₁ : (linearGrowthSup fun n ↦ ↑(v n)) ≠ ⊤
u_0 : ¬u = ⊥
v_0 : 0 < linearGrowthSup fun n ↦ ↑(v n)
a : EReal
v_a : a > linearGrowthSup fun n ↦ ↑(v n)
b : EReal
a_0 : 0 < a
b_0 : 0 < b
a_top : a ≠ ⊤
a' : EReal
a_a' : a' < a
a_0' : 0 < a'
a_a_inv' : a⁻¹ < a'⁻¹
v_a' : ∀ᶠ (n : ℕ) in atTop, ↑(v n) ≤ a' * ↑n
u_b : ∃ᶠ (x : ℕ) in atTop, (u x ≤ b * ↑x ∧ 0 < x) ∧ ∃ m, a⁻¹ * ↑x ≤ ↑m ∧ ↑m ≤ a'⁻¹ * ↑x
M M' : ℕ
aM_M' : a * ↑M ≤ ↑M'
n : ℕ
n_M' : M' ≤ n
un_bn : u n ≤ b * ↑n
right✝ : 0 < n
k : ℕ
an_k : a⁻¹ * ↑n ≤ ↑k
k_an' : ↑k ≤ a'⁻¹ * ↑n
vk_ak' : ↑(v k) ≤ a' * ↑k
⊢ u (v k) ≤ b * (a * ↑k)
Module: Mathlib.Analysis.Asymptotics.LinearGrowth

Goal state before:
pp: case neg
u : ℕ → EReal
v : ℕ → ℕ
h : Monotone u
hv : (linearGrowthInf fun n ↦ ↑(v n)) ≠ 0
v_0 : 0 < linearGrowthInf fun n ↦ ↑(v n)
u_0 : ¬u = ⊥
a : EReal
a_0 : 0 < a
a_v : a < linearGrowthInf fun n ↦ ↑(v n)
⊢ ∀ b' ∈ Set.Ioo 0 (linearGrowthSup u), a * b' ≤ linearGrowthSup (u ∘ v)

Tactic:
b

Goal state after:
case neg
u : ℕ → EReal
v : ℕ → ℕ
h : Monotone u
hv : (linearGrowthInf fun n ↦ ↑(v n)) ≠ 0
v_0 : 0 < linearGrowthInf fun n ↦ ↑(v n)
u_0 : ¬u = ⊥
a : EReal
a_0 : 0 < a
a_v : a < linearGrowthInf fun n ↦ ↑(v n)
b : EReal
⊢ b ∈ Set.Ioo 0 (linearGrowthSup u) → a * b ≤ linearGrowthSup (u ∘ v)
Module: Mathlib.MeasureTheory.Covering.Vitali

Goal state before:
pp: case refine_3
α : Type u_1
ι : Type u_2
B : ι → Set α
t : Set ι
δ : ι → ℝ
τ : ℝ
hτ : 1 < τ
δnonneg : ∀ a ∈ t, 0 ≤ δ a
R : ℝ
δle : ∀ a ∈ t, δ a ≤ R
hne : ∀ a ∈ t, (B a).Nonempty
T : Set (Set ι) :=
  {u |
    u ⊆ t ∧
      u.PairwiseDisjoint B ∧ ∀ a ∈ t, ∀ b ∈ u, (B a ∩ B b).Nonempty → ∃ c ∈ u, (B a ∩ B c).Nonempty ∧ δ a ≤ τ * δ c}
u : Set ι
hu : Maximal (fun x ↦ x ∈ T) u
A : Set ι := {a' | a' ∈ t ∧ ∀ c ∈ u, Disjoint (B a') (B c)}
Anonempty : A.Nonempty
m : ℝ := sSup (δ '' A)
bddA : BddAbove (δ '' A)
a' : ι
a'A : a' ∈ A
ha' : m / τ ≤ δ a'
a'_ne_u : a' ∉ u
c : ι
ct : c ∈ t
⊢ ∀ b ∈ insert a' u, (B c ∩ B b).Nonempty → ∃ c_1 ∈ insert a' u, (B c ∩ B c_1).Nonempty ∧ δ c ≤ τ * δ c_1

Tactic:
b

Goal state after:
case refine_3
α : Type u_1
ι : Type u_2
B : ι → Set α
t : Set ι
δ : ι → ℝ
τ : ℝ
hτ : 1 < τ
δnonneg : ∀ a ∈ t, 0 ≤ δ a
R : ℝ
δle : ∀ a ∈ t, δ a ≤ R
hne : ∀ a ∈ t, (B a).Nonempty
T : Set (Set ι) :=
  {u |
    u ⊆ t ∧
      u.PairwiseDisjoint B ∧ ∀ a ∈ t, ∀ b ∈ u, (B a ∩ B b).Nonempty → ∃ c ∈ u, (B a ∩ B c).Nonempty ∧ δ a ≤ τ * δ c}
u : Set ι
hu : Maximal (fun x ↦ x ∈ T) u
A : Set ι := {a' | a' ∈ t ∧ ∀ c ∈ u, Disjoint (B a') (B c)}
Anonempty : A.Nonempty
m : ℝ := sSup (δ '' A)
bddA : BddAbove (δ '' A)
a' : ι
a'A : a' ∈ A
ha' : m / τ ≤ δ a'
a'_ne_u : a' ∉ u
c : ι
ct : c ∈ t
b : ι
⊢ b ∈ insert a' u → (B c ∩ B b).Nonempty → ∃ c_1 ∈ insert a' u, (B c ∩ B c_1).Nonempty ∧ δ c ≤ τ * δ c_1
Module: Mathlib.Analysis.Asymptotics.LinearGrowth

Goal state before:
pp: case neg.refine_2
u : ℕ → EReal
v : ℕ → ℕ
h : Monotone u
hv : (linearGrowthInf fun n ↦ ↑(v n)) ≠ 0
v_0 : 0 < linearGrowthInf fun n ↦ ↑(v n)
u_0 : ¬u = ⊥
a : EReal
a_0 : 0 < a
a_v : a < linearGrowthInf fun n ↦ ↑(v n)
b : EReal
b_0 : 0 < b
a' : EReal
a_a' : a < a'
a_top' : a' ≠ ⊤
a_0' : 0 < a'
a_a_inv' : a'⁻¹ < a⁻¹
a_v' : ∀ᶠ (n : ℕ) in atTop, a' * ↑n ≤ ↑(v n)
b_u : ∃ᶠ (x : ℕ) in atTop, (b * ↑x ≤ u x ∧ 0 < x) ∧ ∃ m, a'⁻¹ * ↑x ≤ ↑m ∧ ↑m ≤ a⁻¹ * ↑x
M M' : ℕ
aM_M' : a' * ↑M ≤ ↑M'
n : ℕ
n_M' : M' ≤ n
bn_un : b * ↑n ≤ u n
right✝ : 0 < n
k : ℕ
an_k' : a'⁻¹ * ↑n ≤ ↑k
k_an : ↑k ≤ a⁻¹ * ↑n
ak_vk' : a' * ↑k ≤ ↑(v k)
⊢ b * a * ↑k ≤ u (v k)

Tactic:
mul_assoc b a

Goal state after:
case neg.refine_2
u : ℕ → EReal
v : ℕ → ℕ
h : Monotone u
hv : (linearGrowthInf fun n ↦ ↑(v n)) ≠ 0
v_0 : 0 < linearGrowthInf fun n ↦ ↑(v n)
u_0 : ¬u = ⊥
a : EReal
a_0 : 0 < a
a_v : a < linearGrowthInf fun n ↦ ↑(v n)
b : EReal
b_0 : 0 < b
a' : EReal
a_a' : a < a'
a_top' : a' ≠ ⊤
a_0' : 0 < a'
a_a_inv' : a'⁻¹ < a⁻¹
a_v' : ∀ᶠ (n : ℕ) in atTop, a' * ↑n ≤ ↑(v n)
b_u : ∃ᶠ (x : ℕ) in atTop, (b * ↑x ≤ u x ∧ 0 < x) ∧ ∃ m, a'⁻¹ * ↑x ≤ ↑m ∧ ↑m ≤ a⁻¹ * ↑x
M M' : ℕ
aM_M' : a' * ↑M ≤ ↑M'
n : ℕ
n_M' : M' ≤ n
bn_un : b * ↑n ≤ u n
right✝ : 0 < n
k : ℕ
an_k' : a'⁻¹ * ↑n ≤ ↑k
k_an : ↑k ≤ a⁻¹ * ↑n
ak_vk' : a' * ↑k ≤ ↑(v k)
⊢ b * (a * ↑k) ≤ u (v k)
Module: Mathlib.MeasureTheory.Function.AEMeasurableOrder

Goal state before:
pp: α : Type u_1
m : MeasurableSpace α
μ : Measure α
β : Type u_2
inst✝⁶ : CompleteLinearOrder β
inst✝⁵ : DenselyOrdered β
inst✝⁴ : TopologicalSpace β
inst✝³ : OrderTopology β
inst✝² : SecondCountableTopology β
inst✝¹ : MeasurableSpace β
inst✝ : 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
this✝ : Encodable ↑s
u v : β → β → Set α
huv :
  ∀ (p q : β),
    MeasurableSet (u p q) ∧
      MeasurableSet (v p q) ∧
        {x | f x < p} ⊆ u p q ∧ {x | q < f x} ⊆ v p q ∧ (p ∈ s → q ∈ s → p < q → μ (u p q ∩ v p q) = 0)
u' : β → Set α := ⋯
u'_meas : ∀ (i : β), MeasurableSet (u' i)
f' : α → β := ⋯
f'_meas : Measurable f'
t : Set α := ⋯
μt : μ t ≤ 0
this : ∀ᵐ (x : α) ∂μ, x ∉ t
x : α
hx : x ∉ t
⊢ ∀ (i : ↑s), f x ≤ (u' ↑i).piecewise (fun x ↦ ↑i) (fun x ↦ ⊤) x

Tactic:
intro i
      by_cases H : x ∈ u' i
      swap
      · simp only [H, le_top, not_false_iff, piecewise_eq_of_notMem]
      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⟩

Goal state after:
Module: Mathlib.MeasureTheory.Measure.Decomposition.Hahn

Goal state before:
pp: α : Type u_1
mα : MeasurableSpace α
μ ν : Measure α
inst✝¹ : IsFiniteMeasure μ
inst✝ : IsFiniteMeasure ν
⊢ ∃ s,
    MeasurableSet s ∧
      (∀ (t : Set α), MeasurableSet t → t ⊆ s → ν t ≤ μ t) ∧ ∀ (t : Set α), MeasurableSet t → t ⊆ sᶜ → μ t ≤ ν t

Tactic:
let d : Set α → ℝ := fun s => ((μ s).toNNReal : ℝ) - (ν s).toNNReal

Goal state after:
α : Type u_1
mα : MeasurableSpace α
μ ν : Measure α
inst✝¹ : IsFiniteMeasure μ
inst✝ : IsFiniteMeasure ν
d : Set α → ℝ := fun s ↦ ↑(μ s).toNNReal - ↑(ν s).toNNReal
⊢ ∃ s,
    MeasurableSet s ∧
      (∀ (t : Set α), MeasurableSet t → t ⊆ s → ν t ≤ μ t) ∧ ∀ (t : Set α), MeasurableSet t → t ⊆ sᶜ → μ t ≤ ν t
Module: Mathlib.MeasureTheory.Integral.Average

Goal state before:
pp: case inr
α : Type u_1
m0 : MeasurableSpace α
μ : Measure α
s : Set α
f : α → ℝ≥0∞
hμ : μ s ≠ 0
hμ₁ : μ s ≠ ∞
hf : AEMeasurable f (μ.restrict s)
h : ∫⁻ (a : α) in s, f a ∂μ ≠ ∞
this : 0 < (μ.restrict s) {a | (f a).toReal ≤ ⨍ (a : α) in s, (f a).toReal ∂μ}
⊢ 0 < (μ.restrict s) {a | f a ≤ ⨍⁻ (a : α) in s, f a ∂μ}

Tactic:
← measure_sdiff_null (measure_eq_top_of_lintegral_ne_top hf h)

Goal state after:
case inr
α : Type u_1
m0 : MeasurableSpace α
μ : Measure α
s : Set α
f : α → ℝ≥0∞
hμ : μ s ≠ 0
hμ₁ : μ s ≠ ∞
hf : AEMeasurable f (μ.restrict s)
h : ∫⁻ (a : α) in s, f a ∂μ ≠ ∞
this : 0 < (μ.restrict s) ({a | (f a).toReal ≤ ⨍ (a : α) in s, (f a).toReal ∂μ} \ {x | f x = ∞})
⊢ 0 < (μ.restrict s) {a | f a ≤ ⨍⁻ (a : α) in s, f a ∂μ}