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
F : C₁ ⥤ C₂ ⥤ C₃
G : C₁ᵒᵖ ⥤ C₃ ⥤ C₂
X₁ Y₁ : C₁
f₁✝¹ : X₁ ⟶ Y₁
X₃ Y₃ : C₃
f₃✝¹ : X₃ ⟶ Y₃
sq✝ : G.PullbackObjObj f₁✝¹ f₃✝¹
f₁✝ f₁' : Arrow C₁
f₃✝ : Arrow C₃
sq₁₃✝ : G.PullbackObjObj f₁✝.hom f₃✝.hom
sq₁₃'✝ : G.PullbackObjObj f₁'.hom f₃✝.hom
f₁ : Arrow C₁
f₃ f₃' : Arrow C₃
sq₁₃ : G.PullbackObjObj f₁.hom f₃.hom
sq₁₃' : G.PullbackObjObj f₁.hom f₃'.hom
sq : f₃ ⟶ f₃'
⊢ (sq₁₃.fst ≫ (G.obj (op f₁.left)).map (Arrow.Hom.left sq)) ≫ (G.obj (op f₁.left)).map f₃'.hom =
    (sq₁₃.snd ≫ (G.obj (op f₁.right)).map (Arrow.Hom.right sq)) ≫ (G.map f₁.hom.op).app f₃'.right

Tactic:
#adaptation_note /-- Before https://github.com/leanprover/lean4/pull/13166
      (replacing grind's canonicalizer with a type-directed normalizer), `grind` closed this
      goal without the `simp`. It is not yet clear whether this is due to defeq abuse in
      Mathlib or a problem in the new canonicalizer; a minimization would help. The original
      proof was: `by grind [sq.w, sq₁₃.isPullback.w]` -/

Goal state after:
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
F : C₁ ⥤ C₂ ⥤ C₃
G : C₁ᵒᵖ ⥤ C₃ ⥤ C₂
X₁ Y₁ : C₁
f₁✝¹ : X₁ ⟶ Y₁
X₃ Y₃ : C₃
f₃✝¹ : X₃ ⟶ Y₃
sq✝ : G.PullbackObjObj f₁✝¹ f₃✝¹
f₁✝ f₁' : Arrow C₁
f₃✝ : Arrow C₃
sq₁₃✝ : G.PullbackObjObj f₁✝.hom f₃✝.hom
sq₁₃'✝ : G.PullbackObjObj f₁'.hom f₃✝.hom
f₁ : Arrow C₁
f₃ f₃' : Arrow C₃
sq₁₃ : G.PullbackObjObj f₁.hom f₃.hom
sq₁₃' : G.PullbackObjObj f₁.hom f₃'.hom
sq : f₃ ⟶ f₃'
⊢ (sq₁₃.fst ≫ (G.obj (op f₁.left)).map (Arrow.Hom.left sq)) ≫ (G.obj (op f₁.left)).map f₃'.hom =
    (sq₁₃.snd ≫ (G.obj (op f₁.right)).map (Arrow.Hom.right sq)) ≫ (G.map f₁.hom.op).app f₃'.right
Module: Mathlib.AlgebraicTopology.SimplicialSet.AnodyneExtensions.UnionProd

Goal state before:
pp: m✝ : ℕ
k✝ : Fin (m✝ + 1)
n✝ : ℕ
x : (Λ[m✝ + 1, k✝.castSucc].unionProd ∂Δ[n✝]).N
d m : ℕ
k : Fin (m + 2)
n : ℕ
hk : k = Fin.last (m + 1)
⊢ (Λ[m + 1, 0].op.preimage (stdSimplex.opIso ⦋m + 1⦌).inv).unionProd ∂Δ[n] = Λ[m + 1, Fin.last (m + 1)].unionProd ∂Δ[n]

Tactic:
op_horn,

Goal state after:
m✝ : ℕ
k✝ : Fin (m✝ + 1)
n✝ : ℕ
x : (Λ[m✝ + 1, k✝.castSucc].unionProd ∂Δ[n✝]).N
d m : ℕ
k : Fin (m + 2)
n : ℕ
hk : k = Fin.last (m + 1)
⊢ Λ[m + 1, Fin.rev 0].unionProd ∂Δ[n] = Λ[m + 1, Fin.last (m + 1)].unionProd ∂Δ[n]
Module: Mathlib.AlgebraicTopology.SimplicialSet.NonDegenerateSimplicesColimit

Goal state before:
pp: X : SSet
s : Cocone X.functorN
x : X.N
this :
  x.subcomplex.ι ≫ (Subcomplex.topIso X).inv =
    ((CompleteLattice.MulticoequalizerDiagram.multicofork ⋯).map Subcomplex.toSSetFunctor).π x
⊢ x.subcomplex.ι ≫ desc s = s.ι.app x

Tactic:
reassoc_of% this

Goal state after:
X : SSet
s : Cocone X.functorN
x : X.N
this :
  x.subcomplex.ι ≫ (Subcomplex.topIso X).inv =
    ((CompleteLattice.MulticoequalizerDiagram.multicofork ⋯).map Subcomplex.toSSetFunctor).π x
⊢ ((CompleteLattice.MulticoequalizerDiagram.multicofork ⋯).map Subcomplex.toSSetFunctor).π x ≫
      Multicofork.IsColimit.desc ⋯.isColimit (fun x ↦ s.ι.app x) ⋯ =
    s.ι.app x
Module: Mathlib.Analysis.AbsoluteValue.Equivalence

Goal state before:
pp: R : Type u_1
inst✝² : Semiring R
S : Type u_2
inst✝¹ : Semiring S
inst✝ : PartialOrder S
v w : AbsoluteValue R S
h : v.IsEquiv w
x y : R
⊢ v x = v y ↔ w x = w y

Tactic:
simp [le_antisymm_iff, h x y, h y x]

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

Goal state before:
pp: case inl
F : Type u_1
inst✝ : Field F
v w : AbsoluteValue F ℝ
h : v.IsEquiv w
a : F
ha₀ : a ≠ 0
ha₁ : w a ≠ 1
hwa : w a < 1
⊢ 0 < log (w a) / log (v a)

Tactic:
simpa using div_pos (neg_pos_of_neg <| log_neg (w.pos ha₀) (hwa))
      (neg_pos_of_neg <| log_neg (v.pos ha₀) (h.lt_one_iff.2 hwa))

Goal state after:
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
b : F
⊢ v b ^ (log (w a) / log (v a)) = w b

Tactic:
rcases eq_or_ne b 0 with rfl | hb₀

Goal state after:
case pos.inl
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
⊢ v 0 ^ (log (w a) / log (v a)) = w 0

case pos.inr
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
hb₀ : b ≠ 0
⊢ v b ^ (log (w a) / log (v a)) = w b
Module: Mathlib.Analysis.Analytic.Order

Goal state before:
pp: case pos
𝕜 : Type u_1
E : Type u_2
inst✝² : NontriviallyNormedField 𝕜
inst✝¹ : NormedAddCommGroup E
inst✝ : NormedSpace 𝕜 E
f : 𝕜 → E
z₀ : 𝕜
h : AnalyticAt 𝕜 f z₀
h✝ : ∀ᶠ (z : 𝕜) in 𝓝 z₀, f z = 0
hf : ⊤ = ⊤
⊢ ∀ᶠ (z : 𝕜) in 𝓝 z₀, f z = 0

Tactic:
simp [*] at *

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

Goal state before:
pp: case neg
𝕜 : Type u_1
E : Type u_2
inst✝² : NontriviallyNormedField 𝕜
inst✝¹ : NormedAddCommGroup E
inst✝ : NormedSpace 𝕜 E
f : 𝕜 → E
z₀ : 𝕜
h : AnalyticAt 𝕜 f z₀
h✝ : ¬∀ᶠ (z : 𝕜) in 𝓝 z₀, f z = 0
hf : ↑⋯.choose = ⊤
⊢ ∀ᶠ (z : 𝕜) in 𝓝 z₀, f z = 0

Tactic:
simp [*] at *

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

Goal state before:
pp: case neg
𝕜 : Type u_1
E : Type u_2
inst✝² : NontriviallyNormedField 𝕜
inst✝¹ : NormedAddCommGroup E
inst✝ : NormedSpace 𝕜 E
f : 𝕜 → E
z₀ : 𝕜
h : ¬AnalyticAt 𝕜 f z₀
hf : 0 = ⊤
⊢ ∀ᶠ (z : 𝕜) in 𝓝 z₀, f z = 0

Tactic:
simp [*] at *

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

Goal state before:
pp: 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
r : ℕ
h : analyticOrderAt (fun x_1 ↦ f x_1 - f x) x = ↑0
hr : r = 0
⊢ False

Tactic:
ENat.natCast_zero,

Goal state after:
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
r : ℕ
h : analyticOrderAt (fun x_1 ↦ f x_1 - f x) x = 0
hr : r = 0
⊢ False
Module: Mathlib.RingTheory.Binomial

Goal state before:
pp: r : ℤ
k : ℕ
⊢ k.factorial • r.multichoose k = (ascPochhammer ℕ k).smeval r

Tactic:
rw [Int.multichoose.eq_def, nsmul_eq_mul]

Goal state after:
r : ℤ
k : ℕ
⊢ (↑k.factorial *
      match r with
      | ofNat n => ↑((n + k - 1).choose k)
      | -[n+1] => ↑(↑k).negOnePow * ↑((n + 1).choose k)) =
    (ascPochhammer ℕ k).smeval r
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 g : 𝕜 → E
U : Set 𝕜
hf : MeromorphicOn f U
h₂ : IsOpen[PseudoMetricSpace.toUniformSpace.toTopologicalSpace] U
x : 𝕜
hx : x ∈ U
h₁ : ∀ x ∈ U, (U \ {x | f x = g x})ᶜ ∈ 𝓝[≠] x
⊢ f =ᶠ[𝓝[≠] x] g

Tactic:
have : U ∈ 𝓝[≠] x := by
    apply mem_nhdsWithin.mpr
    use U, h₂, hx, Set.inter_subset_left

Goal state after:
𝕜 : Type u_1
inst✝² : NontriviallyNormedField 𝕜
E : Type u_3
inst✝¹ : NormedAddCommGroup E
inst✝ : NormedSpace 𝕜 E
f g : 𝕜 → E
U : Set 𝕜
hf : MeromorphicOn f U
h₂ : IsOpen[PseudoMetricSpace.toUniformSpace.toTopologicalSpace] U
x : 𝕜
hx : x ∈ U
h₁ : ∀ x ∈ U, (U \ {x | f x = g x})ᶜ ∈ 𝓝[≠] x
this : U ∈ 𝓝[≠] x
⊢ f =ᶠ[𝓝[≠] x] g
Module: Mathlib.Analysis.SpecialFunctions.Pow.Deriv

Goal state before:
pp: x : ℝ
hx✝ : x ≠ 0
r : ℂ
hr : r + 1 ≠ 0
hx : x < 0
this✝ : ∀ᶠ (y : ℝ) in 𝓝 x, ↑y ^ (r + 1) / (r + 1) = (-↑y) ^ (r + 1) * cexp (↑π * I * (r + 1)) / (r + 1)
this : HasDerivAt (fun y ↦ (-↑y) ^ (r + 1) * cexp (↑π * I * (r + 1))) ((r + 1) * (-↑x) ^ r * cexp (↑π * I * r)) x
| (-↑x) ^ r * cexp (↑π * I * r) * (r + 1) / (r + 1)

Tactic:
mul_div_cancel_right₀ _ hr

Goal state after:
x : ℝ
hx✝ : x ≠ 0
r : ℂ
hr : r + 1 ≠ 0
hx : x < 0
this✝ : ∀ᶠ (y : ℝ) in 𝓝 x, ↑y ^ (r + 1) / (r + 1) = (-↑y) ^ (r + 1) * cexp (↑π * I * (r + 1)) / (r + 1)
this : HasDerivAt (fun y ↦ (-↑y) ^ (r + 1) * cexp (↑π * I * (r + 1))) ((r + 1) * (-↑x) ^ r * cexp (↑π * I * r)) x
| (-↑x) ^ r * cexp (↑π * I * r)
Module: Mathlib.Analysis.Analytic.RadiusLiminf

Goal state before:
pp: case a
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
p : FormalMultilinearSeries 𝕜 E F
this : ∀ (r : ℝ≥0) {n : ℕ}, 0 < n → (↑r ≤ 1 / ↑(‖p n‖₊ ^ (1 / ↑n)) ↔ ‖p n‖₊ * r ^ n ≤ 1)
r : ℝ≥0
hr : ↑r < p.radius
a : ℝ
ha : a ∈ Set.Ioo 0 1
H : ∀ᶠ (n : ℕ) in atTop, |‖p n‖ * ↑r ^ n| ≤ a ^ n
⊢ ↑r ≤ liminf (fun n ↦ 1 / ↑(‖p n‖₊ ^ (1 / ↑n))) atTop

Tactic:
apply le_liminf_of_le

Goal state after:
case a.hf
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
p : FormalMultilinearSeries 𝕜 E F
this : ∀ (r : ℝ≥0) {n : ℕ}, 0 < n → (↑r ≤ 1 / ↑(‖p n‖₊ ^ (1 / ↑n)) ↔ ‖p n‖₊ * r ^ n ≤ 1)
r : ℝ≥0
hr : ↑r < p.radius
a : ℝ
ha : a ∈ Set.Ioo 0 1
H : ∀ᶠ (n : ℕ) in atTop, |‖p n‖ * ↑r ^ n| ≤ a ^ n
⊢ autoParam (IsCoboundedUnder (fun x1 x2 ↦ x1 ≥ x2) atTop fun n ↦ 1 / ↑(‖p n‖₊ ^ (1 / ↑n))) le_liminf_of_le._auto_1

case a.h
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
p : FormalMultilinearSeries 𝕜 E F
this : ∀ (r : ℝ≥0) {n : ℕ}, 0 < n → (↑r ≤ 1 / ↑(‖p n‖₊ ^ (1 / ↑n)) ↔ ‖p n‖₊ * r ^ n ≤ 1)
r : ℝ≥0
hr : ↑r < p.radius
a : ℝ
ha : a ∈ Set.Ioo 0 1
H : ∀ᶠ (n : ℕ) in atTop, |‖p n‖ * ↑r ^ n| ≤ a ^ n
⊢ ∀ᶠ (n : ℕ) in atTop, ↑r ≤ 1 / ↑(‖p n‖₊ ^ (1 / ↑n))
Module: Mathlib.Analysis.SpecialFunctions.Log.ERealExp

Goal state before:
pp: case coe.coe
a✝¹ a✝ : ℝ
h : ↑a✝¹ < ↑a✝
⊢ ENNReal.ofReal (Real.exp a✝¹) < ENNReal.ofReal (Real.exp a✝)

Tactic:
exact ENNReal.ofReal_lt_ofReal_iff'.mpr ⟨Real.exp_strictMono (mod_cast h), Real.exp_pos _⟩

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

Goal state before:
pp: u v : ℕ → EReal
h : linearGrowthSup u ≠ ⊥ ∨ linearGrowthInf v ≠ ⊤
h' : linearGrowthSup u ≠ ⊤ ∨ linearGrowthInf v ≠ ⊥
⊢ linearGrowthInf (u + v) ≤ linearGrowthSup u + linearGrowthInf v

Tactic:
by
  refine (liminf_add_le h h').trans_eq' (liminf_congr (Eventually.of_forall fun n ↦ ?_))
  rw [Pi.add_apply, Pi.add_apply, ← add_div_of_nonneg_right n.cast_nonneg']

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
⊢ b ≤ (u n).log / ↑n ↔ (b * ↑n).exp ≤ u n

Tactic:
le_div_iff_mul_le (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
⊢ b * ↑n ≤ (u n).log ↔ (b * ↑n).exp ≤ u n
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
⊢ (linearGrowthInf fun n ↦ ↑(v n)) * linearGrowthInf u ≤ linearGrowthInf (u ∘ v)

Tactic:
have uv_0 : 0 ≤ linearGrowthInf (u ∘ v) := by
    rw [← linearGrowthInf_const zero_ne_bot zero_ne_top]
    exact linearGrowthInf_eventually_monotone (hv.eventually hu)

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)
⊢ (linearGrowthInf fun n ↦ ↑(v n)) * linearGrowthInf u ≤ linearGrowthInf (u ∘ v)
Module: Mathlib.Analysis.Asymptotics.ExpGrowth

Goal state before:
pp: case a
u v : ℕ → ℝ≥0∞
⊢ expGrowthSup (u + v) ≤ expGrowthSup (u ⊔ v)

Tactic:
refine expGrowthSup_le_of_eventually_le (b := 2) ofNat_ne_top (Eventually.of_forall fun n ↦ ?_)
    rw [Pi.sup_apply u v n, Pi.add_apply u v n, two_mul]
    exact add_le_add (le_max_left (u n) (v n)) (le_max_right (u n) (v n))

Goal state after:
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 : EReal
b_0 : 0 < b
b_u : b < linearGrowthSup u
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)
⊢ ∃ᶠ (x : ℕ) in atTop, a' * ↑x ≤ ↑(v x) → a * b * ↑x ≤ (u ∘ v) x

Tactic:
replace b_u := ((frequently_mul_le b_u).and_eventually (eventually_gt_atTop 0)).and_eventually
    <| EReal.eventually_atTop_exists_nat_between a_a_inv' (inv_nonneg_of_nonneg a_0.le)

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_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
⊢ ∃ᶠ (x : ℕ) in atTop, a' * ↑x ≤ ↑(v x) → a * b * ↑x ≤ (u ∘ v) x
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
⊢ ∀ (w : β), f x < w → ∃ i, (u' ↑i).piecewise (fun x ↦ ↑i) (fun x ↦ ⊤) x < w

Tactic:
· 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]

Goal state after:
Module: Mathlib.MeasureTheory.Integral.Average

Goal state before:
pp: α : Type u_1
m0 : MeasurableSpace α
μ : Measure α
s : Set α
f : α → ℝ
hμ : μ s ≠ 0
hμ₁ : μ s ≠ ∞
hf : IntegrableOn f s μ
H : (μ.restrict s) {x | f x ≤ ⨍ (a : α) in s, f a ∂μ} = 0
⊢ False

Tactic:
have := Fact.mk hμ₁.lt_top

Goal state after:
α : Type u_1
m0 : MeasurableSpace α
μ : Measure α
s : Set α
f : α → ℝ
hμ : μ s ≠ 0
hμ₁ : μ s ≠ ∞
hf : IntegrableOn f s μ
H : (μ.restrict s) {x | f x ≤ ⨍ (a : α) in s, f a ∂μ} = 0
this : Fact (μ s < ∞)
⊢ False
Module: Mathlib.MeasureTheory.Measure.Decomposition.Lebesgue

Goal state before:
pp: α : Type u_1
m : MeasurableSpace α
μ : Measure α
inst✝ : SigmaFinite μ
h : μ.withDensity (μ.rnDeriv μ) = μ
h_one : μ = μ.withDensity 1
⊢ μ.rnDeriv μ =ᵐ[μ] fun x ↦ 1

Tactic:
conv_rhs at h => rw [h_one]

Goal state after:
α : Type u_1
m : MeasurableSpace α
μ : Measure α
inst✝ : SigmaFinite μ
h : μ.withDensity (μ.rnDeriv μ) = μ.withDensity 1
h_one : μ = μ.withDensity 1
⊢ μ.rnDeriv μ =ᵐ[μ] fun x ↦ 1
Module: Mathlib.MeasureTheory.Covering.Vitali

Goal state before:
pp: α : Type u_1
ι : Type u_2
inst✝⁴ : PseudoMetricSpace α
inst✝³ : MeasurableSpace α
inst✝² : OpensMeasurableSpace α
inst✝¹ : SecondCountableTopology α
μ : Measure α
inst✝ : IsLocallyFiniteMeasure μ
C : ℝ≥0
h : ∀ (x : α), ∃ᶠ (r : ℝ) in 𝓝[>] 0, μ (closedBall x (3 * r)) ≤ ↑C * μ (closedBall x r)
x : α
ε : ℝ
εpos : ε > 0
⊢ ∃
    s ∈
      {a |
        IsClosed[PseudoMetricSpace.toUniformSpace.toTopologicalSpace] a ∧
          (interior a).Nonempty ∧ ∃ r, a ⊆ closedBall x r ∧ μ (closedBall x (3 * r)) ≤ ↑C * μ a},
    s ⊆ closedBall x ε

Tactic:
obtain ⟨r, μr, rpos, rε⟩ :
        ∃ r, μ (closedBall x (3 * r)) ≤ C * μ (closedBall x r) ∧ r ∈ Ioc (0 : ℝ) ε :=
      ((h x).and_eventually (Ioc_mem_nhdsGT εpos)).exists
    refine ⟨closedBall x r, ⟨isClosed_closedBall, ?_, ⟨r, Subset.rfl, μr⟩⟩, by gcongr⟩
    exact (nonempty_ball.2 rpos).mono ball_subset_interior_closedBall

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

Goal state before:
pp: α : Type u_1
m : MeasurableSpace α
ν μ : Measure α
inst✝¹ : IsFiniteMeasure ν
inst✝ : ν.HaveLebesgueDecomposition μ
r : ℝ≥0
hr : r ≠ 0
⊢ ν = ν.singularPart μ + (r⁻¹ * r) • μ.withDensity (ν.rnDeriv μ)

Tactic:
inv_mul_cancel₀ hr,

Goal state after:
α : Type u_1
m : MeasurableSpace α
ν μ : Measure α
inst✝¹ : IsFiniteMeasure ν
inst✝ : ν.HaveLebesgueDecomposition μ
r : ℝ≥0
hr : r ≠ 0
⊢ ν = ν.singularPart μ + 1 • μ.withDensity (ν.rnDeriv μ)
Module: Mathlib.MeasureTheory.Covering.Differentiation

Goal state before:
pp: case h₂
α : Type u_1
inst✝⁴ : PseudoMetricSpace α
m0 : MeasurableSpace α
μ : Measure α
v : VitaliFamily μ
inst✝³ : SecondCountableTopology α
inst✝² : BorelSpace α
inst✝¹ : IsLocallyFiniteMeasure μ
ρ : Measure α
inst✝ : IsLocallyFiniteMeasure ρ
ε : ℝ≥0
εpos : ε > 0
s : Set α := {x | ¬∀ᶠ (a : Set α) in v.filterAt x, ρ a < ↑ε * μ a}
hs : s = {x | ¬∀ᶠ (a : Set α) in v.filterAt x, ρ a < ↑ε * μ a}
o : Set α
left✝ : MeasurableSet o
ρo : ρ o = 0
μo : μ oᶜ = 0
x : α
hx : (∃ᶠ (x : Set α) in v.filterAt x, ↑ε * μ x ≤ ρ x) ∧ x ∈ o
⊢ ∃ᶠ (a : Set α) in v.filterAt x, (↑ε • μ) a ≤ ρ a

Tactic:
exact hx.1

Goal state after:
Module: Mathlib.MeasureTheory.Covering.Differentiation

Goal state before:
pp: case refine_3
α : Type u_1
inst✝⁴ : PseudoMetricSpace α
m0 : MeasurableSpace α
μ : Measure α
v : VitaliFamily μ
inst✝³ : SecondCountableTopology α
inst✝² : BorelSpace α
inst✝¹ : IsLocallyFiniteMeasure μ
ρ : Measure α
inst✝ : IsLocallyFiniteMeasure ρ
hρ : ρ ≪ μ
p q : ℝ≥0
hpq : p < q
s : Set α := {x | ∃ c, Tendsto (fun a ↦ ρ a / μ a) (v.filterAt x) (𝓝 c)}
o : ℕ → Set α := spanningSets (ρ + μ)
u : ℕ → Set α := fun n ↦ s ∩ {x | v.limRatio ρ x < ↑p} ∩ o n
w : ℕ → Set α := fun n ↦ s ∩ {x | ↑q < v.limRatio ρ x} ∩ o n
H : ∀ (m n : ℕ), μ (toMeasurable (ρ + μ) (u m) ∩ toMeasurable (ρ + μ) (w n)) = 0
⊢ (⋃ n, toMeasurable (ρ + μ) (u n)) ∩ ⋃ n, toMeasurable (ρ + μ) (w n) ⊆
    toMeasurable μ sᶜ ∪ ⋃ m, ⋃ n, toMeasurable (ρ + μ) (u m) ∩ toMeasurable (ρ + μ) (w n)

Tactic:
simp_rw [iUnion_inter, inter_iUnion]

Goal state after:
case refine_3
α : Type u_1
inst✝⁴ : PseudoMetricSpace α
m0 : MeasurableSpace α
μ : Measure α
v : VitaliFamily μ
inst✝³ : SecondCountableTopology α
inst✝² : BorelSpace α
inst✝¹ : IsLocallyFiniteMeasure μ
ρ : Measure α
inst✝ : IsLocallyFiniteMeasure ρ
hρ : ρ ≪ μ
p q : ℝ≥0
hpq : p < q
s : Set α := {x | ∃ c, Tendsto (fun a ↦ ρ a / μ a) (v.filterAt x) (𝓝 c)}
o : ℕ → Set α := spanningSets (ρ + μ)
u : ℕ → Set α := fun n ↦ s ∩ {x | v.limRatio ρ x < ↑p} ∩ o n
w : ℕ → Set α := fun n ↦ s ∩ {x | ↑q < v.limRatio ρ x} ∩ o n
H : ∀ (m n : ℕ), μ (toMeasurable (ρ + μ) (u m) ∩ toMeasurable (ρ + μ) (w n)) = 0
⊢ ⋃ i, ⋃ i_1, toMeasurable (ρ + μ) (u i) ∩ toMeasurable (ρ + μ) (w i_1) ⊆
    toMeasurable μ sᶜ ∪ ⋃ i, ⋃ i_1, toMeasurable (ρ + μ) (u i) ∩ toMeasurable (ρ + μ) (w i_1)
Module: Mathlib.MeasureTheory.Measure.Decomposition.Lebesgue

Goal state before:
pp: α : Type u_1
m : MeasurableSpace α
μ ν : Measure α
inst✝¹ : IsFiniteMeasure μ
inst✝ : IsFiniteMeasure ν
g : ℕ → ℝ≥0∞
h✝ : Monotone g
hg₂ : Filter.Tendsto g Filter.atTop (nhds (sSup (measurableLEEval ν μ)))
f : ℕ → α → ℝ≥0∞
hf₁ : ∀ (n : ℕ), f n ∈ measurableLE ν μ
hf₂ : ∀ (n : ℕ), (fun f ↦ ∫⁻ (x : α), f x ∂ν) (f n) = g n
ξ : α → ℝ≥0∞ := ⨆ n, ⨆ k, ⨆ (_ : k ≤ n), f k
hξ : ξ = ⨆ n, ⨆ k, ⨆ (_ : k ≤ n), f k
hξ₁ : sSup (measurableLEEval ν μ) = ∫⁻ (a : α), ξ a ∂ν
hξm : Measurable ξ
A : Set α
hA : MeasurableSet A
⊢ ⨆ n, ∫⁻ (a : α) in A, ⨆ k, ⨆ (_ : k ≤ n), f k a ∂ν ≤ μ A

Tactic:
exact iSup_le fun n ↦ (iSup_mem_measurableLE _ hf₁ n).2 A hA

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

Goal state before:
pp: α : Type u_1
m : MeasurableSpace α
ν μ : Measure α
inst✝¹ : SigmaFinite ν
inst✝ : SigmaFinite μ
r : ℝ≥0
hr : r ≠ 0
⊢ ν = ν.singularPart μ + (r⁻¹ * r) • μ.withDensity (ν.rnDeriv μ)

Tactic:
inv_mul_cancel₀ hr,

Goal state after:
α : Type u_1
m : MeasurableSpace α
ν μ : Measure α
inst✝¹ : SigmaFinite ν
inst✝ : SigmaFinite μ
r : ℝ≥0
hr : r ≠ 0
⊢ ν = ν.singularPart μ + 1 • μ.withDensity (ν.rnDeriv μ)
Module: Mathlib.MeasureTheory.Measure.Decomposition.Lebesgue

Goal state before:
pp: α : Type u_1
m : MeasurableSpace α
μ ν ξ : Measure α
h : μ ⟂ₘ ξ
s : Set α := h.nullSet
hs : MeasurableSet s
h_le_s : μ.restrict s + (ν - ξ).restrict s = μ.restrict s + ν.restrict s - ξ.restrict s
h_le_s_compl : μ.restrict sᶜ + (ν - ξ).restrict sᶜ = μ.restrict sᶜ + ν.restrict sᶜ - ξ.restrict sᶜ
⊢ μ.restrict s + ν.restrict s - ξ.restrict s + (μ.restrict sᶜ + ν.restrict sᶜ - ξ.restrict sᶜ) =
    (μ + ν - ξ).restrict s + (μ + ν - ξ).restrict sᶜ

Tactic:
simp [restrict_sub_eq_restrict_sub_restrict hs,
        restrict_sub_eq_restrict_sub_restrict hs.compl]

Goal state after:
Module: Mathlib.MeasureTheory.Covering.Differentiation

Goal state before:
pp: case hbc
α : Type u_1
inst✝⁴ : PseudoMetricSpace α
m0 : MeasurableSpace α
μ : Measure α
v : VitaliFamily μ
inst✝³ : SecondCountableTopology α
inst✝² : BorelSpace α
inst✝¹ : IsLocallyFiniteMeasure μ
ρ : Measure α
inst✝ : IsLocallyFiniteMeasure ρ
hρ : ρ ≪ μ
s : Set α
hs : MeasurableSet s
t : ℝ≥0
ht : 1 < t
t_ne_zero' : t ≠ 0
t_ne_zero : ↑t ≠ 0
ν : Measure α := ⋯
f : α → ℝ≥0∞ := ⋯
f_meas : Measurable f
A : ν (s ∩ f ⁻¹' {0}) ≤ (↑t ^ 2 • ρ) (s ∩ f ⁻¹' {0})
B : ν (s ∩ f ⁻¹' {∞}) ≤ (↑t ^ 2 • ρ) (s ∩ f ⁻¹' {∞})
n : ℤ
I : Set ℝ≥0∞ := ⋯
M : MeasurableSet (s ∩ f ⁻¹' I)
x : α
hx : x ∈ s ∩ f ⁻¹' I
⊢ t ^ (-1) < 1

Tactic:
zpow_neg_one

Goal state after:
case hbc
α : Type u_1
inst✝⁴ : PseudoMetricSpace α
m0 : MeasurableSpace α
μ : Measure α
v : VitaliFamily μ
inst✝³ : SecondCountableTopology α
inst✝² : BorelSpace α
inst✝¹ : IsLocallyFiniteMeasure μ
ρ : Measure α
inst✝ : IsLocallyFiniteMeasure ρ
hρ : ρ ≪ μ
s : Set α
hs : MeasurableSet s
t : ℝ≥0
ht : 1 < t
t_ne_zero' : t ≠ 0
t_ne_zero : ↑t ≠ 0
ν : Measure α := μ.withDensity (v.limRatioMeas hρ)
f : α → ℝ≥0∞ := v.limRatioMeas hρ
f_meas : Measurable f
A : ν (s ∩ f ⁻¹' {0}) ≤ (↑t ^ 2 • ρ) (s ∩ f ⁻¹' {0})
B : ν (s ∩ f ⁻¹' {∞}) ≤ (↑t ^ 2 • ρ) (s ∩ f ⁻¹' {∞})
n : ℤ
I : Set ℝ≥0∞ := Ico (↑t ^ n) (↑t ^ (n + 1))
M : MeasurableSet (s ∩ f ⁻¹' I)
x : α
hx : x ∈ s ∩ f ⁻¹' I
⊢ t⁻¹ < 1
Module: Mathlib.Topology.EMetricSpace.BoundedVariation

Goal state before:
pp: α : Type u_1
inst✝² : LinearOrder α
E : Type u_2
inst✝¹ : PseudoEMetricSpace E
β : Type u_3
inst✝ : LinearOrder β
f : α → E
t : Set β
φ : β → α
hφ : MonotoneOn φ t
x y : β
hx : x ∈ t
hy : y ∈ t
⊢ eVariationOn (f ∘ φ) (t ∩ Icc x y) = eVariationOn f (φ '' t ∩ Icc (φ x) (φ y))

Tactic:
by
  rcases le_total x y with (h | h)
  · convert! comp_eq_of_monotoneOn f φ (hφ.mono Set.inter_subset_left)
    apply le_antisymm
    · rintro _ ⟨⟨u, us, rfl⟩, vφx, vφy⟩
      rcases le_total x u with (xu | ux)
      · rcases le_total u y with (uy | yu)
        · exact ⟨u, ⟨us, ⟨xu, uy⟩⟩, rfl⟩
        · rw [le_antisymm vφy (hφ hy us yu)]
          exact ⟨y, ⟨hy, ⟨h, le_rfl⟩⟩, rfl⟩
      · rw [← le_antisymm vφx (hφ us hx ux)]
        exact ⟨x, ⟨hx, ⟨le_rfl, h⟩⟩, rfl⟩
    · rintro _ ⟨u, ⟨⟨hu, xu, uy⟩, rfl⟩⟩
      exact ⟨⟨u, hu, rfl⟩, ⟨hφ hx hu xu, hφ hu hy uy⟩⟩
  · rw [eVariationOn.subsingleton, eVariationOn.subsingleton]
    exacts [(Set.subsingleton_Icc_of_ge (hφ hy hx h)).anti Set.inter_subset_right,
      (Set.subsingleton_Icc_of_ge h).anti Set.inter_subset_right]

Goal state after: