mathlib-initiative/mathlib-tactics huggingface dataset:
Module: Mathlib.AlgebraicTopology.SimplicialSet.NerveAdjunction

Goal state before:
pp: case refine_1.succ.zero.«2»
X Y : Truncated 2
f₀ : X.obj (op { obj := ⦋0⦌, property := _proof_11 }) → Y.obj (op { obj := ⦋0⦌, property := _proof_11 })
f₁ : X.obj (op { obj := ⦋1⦌, property := _proof_12 }) → Y.obj (op { obj := ⦋1⦌, property := _proof_12 })
hδ₁ :
  ∀ (x : X.obj (op { obj := ⦋1⦌, property := _proof_12 })),
    f₀ ((ConcreteCategory.hom (X.map (δ₂ 1 _proof_11 _proof_13).op)) x) =
      (ConcreteCategory.hom (Y.map (δ₂ 1 _proof_11 _proof_13).op)) (f₁ x)
hδ₀ :
  ∀ (x : X.obj (op { obj := ⦋1⦌, property := _proof_12 })),
    f₀ ((ConcreteCategory.hom (X.map (δ₂ 0 _proof_11 _proof_13).op)) x) =
      (ConcreteCategory.hom (Y.map (δ₂ 0 _proof_11 _proof_13).op)) (f₁ x)
H :
  ∀ (x : X.obj (op { obj := ⦋2⦌, property := _proof_14 })) (y : Y.obj (op { obj := ⦋2⦌, property := _proof_14 })),
    f₁ ((ConcreteCategory.hom (X.map (δ₂ 2 _proof_12 _proof_15).op)) x) =
        (ConcreteCategory.hom (Y.map (δ₂ 2 _proof_12 _proof_15).op)) y →
      f₁ ((ConcreteCategory.hom (X.map (δ₂ 0 _proof_12 _proof_15).op)) x) =
          (ConcreteCategory.hom (Y.map (δ₂ 0 _proof_12 _proof_15).op)) y →
        f₁ ((ConcreteCategory.hom (X.map (δ₂ 1 _proof_12 _proof_15).op)) x) =
          (ConcreteCategory.hom (Y.map (δ₂ 1 _proof_12 _proof_15).op)) y
hσ :
  ∀ (x : X.obj (op { obj := ⦋0⦌, property := _proof_11 })),
    f₁ ((ConcreteCategory.hom (X.map (σ₂ 0 _proof_13 _proof_11).op)) x) =
      (ConcreteCategory.hom (Y.map (σ₂ 0 _proof_13 _proof_11).op)) (f₀ x)
hY : Y.StrictSegal
hn : 0 + 1 < 2
x✝ : X.obj (op { obj := ⦋0 + 1 + 1⦌, property := ⋯ })
⊢ (ConcreteCategory.hom
          (X.map (δ 2 ((fun i ↦ i) ⟨2, ⋯⟩) ⋯ ⋯).op ≫ app f₀ f₁ hδ₁ hδ₀ hY (op { obj := ⦋0 + 1⦌, property := ⋯ }))).toFun
      x✝ =
    (ConcreteCategory.hom
          (app f₀ f₁ hδ₁ hδ₀ hY (op { obj := ⦋0 + 1 + 1⦌, property := ⋯ }) ≫
            Y.map (δ 2 ((fun i ↦ i) ⟨2, ⋯⟩) ⋯ ⋯).op)).toFun
      x✝

Tactic:
apply hδ'₂ f₀ f₁ hδ₁ hδ₀ hY

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 / a ^ q.num) < 1
hq₂ : ↑q.num / ↑q.den < log (w b) / log (w a)
⊢ False

Tactic:
div_lt_div_iff₀ (by simp [q.den_pos]) (log_pos hwa),

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 / a ^ q.num) < 1
hq₂ : ↑q.num * log (w a) < log (w b) * ↑q.den
⊢ False
Module: Mathlib.AlgebraicTopology.SimplicialSet.NerveAdjunction

Goal state before:
pp: case refine_1.succ.zero
X Y : Truncated 2
f₀ : X.obj (op { obj := ⦋0⦌, property := _proof_11 }) → Y.obj (op { obj := ⦋0⦌, property := _proof_11 })
f₁ : X.obj (op { obj := ⦋1⦌, property := _proof_12 }) → Y.obj (op { obj := ⦋1⦌, property := _proof_12 })
hδ₁ :
  ∀ (x : X.obj (op { obj := ⦋1⦌, property := _proof_12 })),
    f₀ ((ConcreteCategory.hom (X.map (δ₂ 1 _proof_11 _proof_13).op)) x) =
      (ConcreteCategory.hom (Y.map (δ₂ 1 _proof_11 _proof_13).op)) (f₁ x)
hδ₀ :
  ∀ (x : X.obj (op { obj := ⦋1⦌, property := _proof_12 })),
    f₀ ((ConcreteCategory.hom (X.map (δ₂ 0 _proof_11 _proof_13).op)) x) =
      (ConcreteCategory.hom (Y.map (δ₂ 0 _proof_11 _proof_13).op)) (f₁ x)
H :
  ∀ (x : X.obj (op { obj := ⦋2⦌, property := _proof_14 })) (y : Y.obj (op { obj := ⦋2⦌, property := _proof_14 })),
    f₁ ((ConcreteCategory.hom (X.map (δ₂ 2 _proof_12 _proof_15).op)) x) =
        (ConcreteCategory.hom (Y.map (δ₂ 2 _proof_12 _proof_15).op)) y →
      f₁ ((ConcreteCategory.hom (X.map (δ₂ 0 _proof_12 _proof_15).op)) x) =
          (ConcreteCategory.hom (Y.map (δ₂ 0 _proof_12 _proof_15).op)) y →
        f₁ ((ConcreteCategory.hom (X.map (δ₂ 1 _proof_12 _proof_15).op)) x) =
          (ConcreteCategory.hom (Y.map (δ₂ 1 _proof_12 _proof_15).op)) y
hσ :
  ∀ (x : X.obj (op { obj := ⦋0⦌, property := _proof_11 })),
    f₁ ((ConcreteCategory.hom (X.map (σ₂ 0 _proof_13 _proof_11).op)) x) =
      (ConcreteCategory.hom (Y.map (σ₂ 0 _proof_13 _proof_11).op)) (f₀ x)
hY : Y.StrictSegal
hn : 0 + 1 < 2
i : Fin (0 + 1 + 2)
⊢ naturalityProperty f₀ f₁ hδ₁ hδ₀ hY (δ 2 i ⋯ ⋯)

Tactic:
fin_cases i
      · ext; apply hδ'₀ f₀ f₁ hδ₁ hδ₀ hY
      · ext; apply hδ'₁ f₀ f₁ hδ₁ hδ₀ H hY
      · ext; apply hδ'₂ f₀ f₁ hδ₁ hδ₀ hY

Goal state after:
Module: Mathlib.Analysis.Calculus.InverseFunctionTheorem.ApproximatesLinearOn

Goal state before:
pp: case h₂
𝕜 : Type u_1
inst✝⁵ : NontriviallyNormedField 𝕜
E : Type u_2
inst✝⁴ : NormedAddCommGroup E
inst✝³ : NormedSpace 𝕜 E
F : Type u_3
inst✝² : NormedAddCommGroup F
inst✝¹ : NormedSpace 𝕜 F
f : E → F
inst✝ : CompleteSpace E
s : Set E
c : ℝ≥0
f' : E →L[𝕜] F
hf : ApproximatesLinearOn f f' s c
f'symm : f'.NonlinearRightInverse
ε : ℝ
b : E
ε0 : 0 ≤ ε
hε : closedBall b ε ⊆ s
y : F
hy : y ∈ closedBall (f b) (((↑f'symm.nnnorm)⁻¹ - ↑c) * ε)
hc : ↑c < (↑f'symm.nnnorm)⁻¹
If' : 0 < ↑f'symm.nnnorm
Icf' : ↑c * ↑f'symm.nnnorm < 1
Jcf' : 1 - ↑c * ↑f'symm.nnnorm ≠ 0
g : E → E := ⋯
hg : g = fun x ↦ x + f'symm.toFun (y - f x)
u : ℕ → E := ⋯
hu : u = fun n ↦ g^[n] b
usucc : ∀ (n : ℕ), u (n + 1) = g (u n)
A : ∀ (z : E), dist (g z) z ≤ ↑f'symm.nnnorm * dist (f z) y
B : ∀ z ∈ closedBall b ε, g z ∈ closedBall b ε → dist (f (g z)) y ≤ ↑c * ↑f'symm.nnnorm * dist (f z) y
C :
  ∀ (n : ℕ) (w : E),
    dist w b ≤ ↑f'symm.nnnorm * (1 - (↑c * ↑f'symm.nnnorm) ^ n) / (1 - ↑c * ↑f'symm.nnnorm) * dist (f b) y →
      w ∈ closedBall b ε
n : ℕ
IH :
  dist (f (u n)) y ≤ (↑c * ↑f'symm.nnnorm) ^ n * dist (f b) y ∧
    dist (u n) b ≤ ↑f'symm.nnnorm * (1 - (↑c * ↑f'symm.nnnorm) ^ n) / (1 - ↑c * ↑f'symm.nnnorm) * dist (f b) y
⊢ dist (u n) b ≤ ↑f'symm.nnnorm * (1 - (↑c * ↑f'symm.nnnorm) ^ n) / (1 - ↑c * ↑f'symm.nnnorm) * dist (f b) y

Tactic:
exact IH.2

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

Goal state before:
pp: 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
hf : AnalyticAt 𝕜 f z₀
n : ℕ
h✝ : ¬∀ᶠ (z : 𝕜) in 𝓝 z₀, f z = 0
m : ℕ := ⋯.choose
g : 𝕜 → E
hg : AnalyticAt 𝕜 g z₀
hm : ∀ᶠ (z : 𝕜) in 𝓝 z₀, f z = (z - z₀) ^ ⋯.choose • g z
x✝ : ∃ g, AnalyticAt 𝕜 g z₀ ∧ ∀ᶠ (z : 𝕜) in 𝓝 z₀, f z = (z - z₀) ^ n • g z
h : 𝕜 → E
hh : AnalyticAt 𝕜 h z₀
hfh : ∀ᶠ (z : 𝕜) in 𝓝 z₀, f z = (z - z₀) ^ n • h z
hg_ne : ⋯.choose < n
this : ContinuousAt (fun z ↦ (z - z₀) ^ (n - m) • h z) z₀
z : 𝕜
hz : z ∈ {z₀}ᶜ
hf' : ((z - z₀) ^ n * ((z - z₀) ^ ⋯.choose)⁻¹) • h z = g z
hf'' : f z = (z - z₀) ^ n • h z
⊢ g z = ((z - z₀) ^ n * ((z - z₀) ^ m)⁻¹) • h z

Tactic:
← hf'

Goal state after:
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
hf : AnalyticAt 𝕜 f z₀
n : ℕ
h✝ : ¬∀ᶠ (z : 𝕜) in 𝓝 z₀, f z = 0
m : ℕ := ⋯.choose
g : 𝕜 → E
hg : AnalyticAt 𝕜 g z₀
hm : ∀ᶠ (z : 𝕜) in 𝓝 z₀, f z = (z - z₀) ^ ⋯.choose • g z
x✝ : ∃ g, AnalyticAt 𝕜 g z₀ ∧ ∀ᶠ (z : 𝕜) in 𝓝 z₀, f z = (z - z₀) ^ n • g z
h : 𝕜 → E
hh : AnalyticAt 𝕜 h z₀
hfh : ∀ᶠ (z : 𝕜) in 𝓝 z₀, f z = (z - z₀) ^ n • h z
hg_ne : ⋯.choose < n
this : ContinuousAt (fun z ↦ (z - z₀) ^ (n - m) • h z) z₀
z : 𝕜
hz : z ∈ {z₀}ᶜ
hf' : ((z - z₀) ^ n * ((z - z₀) ^ ⋯.choose)⁻¹) • h z = g z
hf'' : f z = (z - z₀) ^ n • h z
⊢ ((z - z₀) ^ n * ((z - z₀) ^ ⋯.choose)⁻¹) • h z = ((z - z₀) ^ n * ((z - z₀) ^ m)⁻¹) • h z
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 g : 𝕜 → E
z₀ : 𝕜
hf : AnalyticAt 𝕜 f z₀
⊢ min (analyticOrderAt f z₀) (analyticOrderAt g z₀) ≤ analyticOrderAt (f + g) z₀

pp: case neg
𝕜 : Type u_1
E : Type u_2
inst✝² : NontriviallyNormedField 𝕜
inst✝¹ : NormedAddCommGroup E
inst✝ : NormedSpace 𝕜 E
f g : 𝕜 → E
z₀ : 𝕜
hf : ¬AnalyticAt 𝕜 f z₀
⊢ min (analyticOrderAt f z₀) (analyticOrderAt g z₀) ≤ analyticOrderAt (f + g) z₀

Tactic:
· by_cases hg : AnalyticAt 𝕜 g z₀
    · refine ENat.forall_natCast_le_iff_le.mp fun n ↦ ?_
      simp only [le_min_iff, natCast_le_analyticOrderAt, hf, hg, hf.add hg]
      refine fun ⟨⟨F, hF, hF'⟩, ⟨G, hG, hG'⟩⟩ ↦ ⟨F + G, hF.add hG, ?_⟩
      filter_upwards [hF', hG'] with z using by simp +contextual
    · simp [*]

Goal state after:
case neg
𝕜 : Type u_1
E : Type u_2
inst✝² : NontriviallyNormedField 𝕜
inst✝¹ : NormedAddCommGroup E
inst✝ : NormedSpace 𝕜 E
f g : 𝕜 → E
z₀ : 𝕜
hf : ¬AnalyticAt 𝕜 f z₀
⊢ min (analyticOrderAt f z₀) (analyticOrderAt g z₀) ≤ analyticOrderAt (f + g) z₀
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
y : ((truncation 2).obj (nerve C)).obj (op { obj := ⦋2⦌, property := _proof_14 })
h' :
  ∀ {a b : X.obj (op { obj := ⦋0⦌, property := ⋯ })} (e : Edge a b),
    ComposableArrows.mk₁ (F.map (homMk (Edge.mk' e.edge))) = ComposableArrows.mk₁ (F.map (homMk e))
x₀ x₁ x₂ : X.obj (op { obj := ⦋0⦌, property := Edge._proof_1 })
e₀₁ : Edge x₀ x₁
e₁₂ : Edge x₁ x₂
e₀₂ : Edge x₀ x₂
h : e₀₁.CompStruct e₁₂ e₀₂
h₂ :
  ComposableArrows.mk₁ (F.map (homMk e₀₁)) =
    (ConcreteCategory.hom (((truncation 2).obj (nerve C)).map (δ₂ 2 _proof_12 _proof_15).op)) y
h₀ :
  ComposableArrows.mk₁ (F.map (homMk e₁₂)) =
    (ConcreteCategory.hom (((truncation 2).obj (nerve C)).map (δ₂ 0 _proof_12 _proof_15).op)) y
⊢ ComposableArrows.mk₂ (F.map (homMk e₀₁)) (F.map (homMk e₁₂)) = y

Tactic:
refine (spine_bijective (X := (truncation 2).obj (nerve C)) _ _).injective ?_

Goal state after:
X : Truncated 2
C D : Type u
inst✝¹ : SmallCategory C
inst✝ : SmallCategory D
F : X.HomotopyCategory ⥤ C
y : ((truncation 2).obj (nerve C)).obj (op { obj := ⦋2⦌, property := _proof_14 })
h' :
  ∀ {a b : X.obj (op { obj := ⦋0⦌, property := ⋯ })} (e : Edge a b),
    ComposableArrows.mk₁ (F.map (homMk (Edge.mk' e.edge))) = ComposableArrows.mk₁ (F.map (homMk e))
x₀ x₁ x₂ : X.obj (op { obj := ⦋0⦌, property := Edge._proof_1 })
e₀₁ : Edge x₀ x₁
e₁₂ : Edge x₁ x₂
e₀₂ : Edge x₀ x₂
h : e₀₁.CompStruct e₁₂ e₀₂
h₂ :
  ComposableArrows.mk₁ (F.map (homMk e₀₁)) =
    (ConcreteCategory.hom (((truncation 2).obj (nerve C)).map (δ₂ 2 _proof_12 _proof_15).op)) y
h₀ :
  ComposableArrows.mk₁ (F.map (homMk e₁₂)) =
    (ConcreteCategory.hom (((truncation 2).obj (nerve C)).map (δ₂ 0 _proof_12 _proof_15).op)) y
⊢ ((truncation 2).obj (nerve C)).spine 2 _proof_14 (ComposableArrows.mk₂ (F.map (homMk e₀₁)) (F.map (homMk e₁₂))) =
    ((truncation 2).obj (nerve C)).spine 2 _proof_14 y
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
n : ℕ
z₀ : 𝕜
inst✝¹ : CharZero 𝕜
inst✝ : CompleteSpace E
hf : AnalyticAt 𝕜 f z₀
⊢ ↑n ≤ analyticOrderAt f z₀ ↔ ∀ i < n, iteratedDeriv i f z₀ = 0

Tactic:
induction n generalizing f with

Goal state after:
Module: Mathlib.Analysis.SpecialFunctions.Complex.Analytic

Goal state before:
pp: n : ℕ
x : ℂ
hx : x ∈ slitPlane
h_eq : deriv log =ᶠ[𝓝 x] Inv.inv
⊢ iteratedDeriv n (deriv log) x = (-1) ^ n * ↑n.factorial * x ^ (-↑n - 1)

Tactic:
h_eq.iteratedDeriv_eq,

Goal state after:
n : ℕ
x : ℂ
hx : x ∈ slitPlane
h_eq : deriv log =ᶠ[𝓝 x] Inv.inv
⊢ iteratedDeriv n Inv.inv x = (-1) ^ n * ↑n.factorial * x ^ (-↑n - 1)
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
inst✝¹ : CharZero 𝕜
inst✝ : CompleteSpace E
z₀ : 𝕜
f : 𝕜 → E
hf : AnalyticAt 𝕜 f z₀
n : ℕ
⊢ analyticOrderAt f z₀ = ↑n ↔ (∀ k < n, iteratedDeriv k f z₀ = 0) ∧ iteratedDeriv n f z₀ ≠ 0

Tactic:
induction n generalizing f with

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

Goal state before:
pp: case inr
𝕜 : Type u_1
inst✝² : NontriviallyNormedField 𝕜
E : Type u_3
inst✝¹ : NormedAddCommGroup E
inst✝ : NormedSpace 𝕜 E
x : 𝕜
f g : 𝕜 → E
hfg : ∀ᶠ (x_1 : 𝕜) in 𝓝 x, x_1 ∈ {x}ᶜ → f x_1 = g x_1
m : ℕ
hf : AnalyticAt 𝕜 (fun z ↦ (z - x) ^ m • f z) x
this : AnalyticAt 𝕜 (fun z ↦ z - x) x
z : 𝕜
hz : z ∈ {x}ᶜ → f z = g z
hn : z ≠ x
⊢ (z - x) • (z - x) ^ m • g z = ((z - x) * (z - x) ^ m) • g z

Tactic:
mul_smul

Goal state after:
case inr
𝕜 : Type u_1
inst✝² : NontriviallyNormedField 𝕜
E : Type u_3
inst✝¹ : NormedAddCommGroup E
inst✝ : NormedSpace 𝕜 E
x : 𝕜
f g : 𝕜 → E
hfg : ∀ᶠ (x_1 : 𝕜) in 𝓝 x, x_1 ∈ {x}ᶜ → f x_1 = g x_1
m : ℕ
hf : AnalyticAt 𝕜 (fun z ↦ (z - x) ^ m • f z) x
this : AnalyticAt 𝕜 (fun z ↦ z - x) x
z : 𝕜
hz : z ∈ {x}ᶜ → f z = g z
hn : z ≠ x
⊢ (z - x) • (z - x) ^ m • g z = (z - x) • (z - x) ^ m • g z
Module: Mathlib.Analysis.SpecialFunctions.Trigonometric.Deriv

Goal state before:
pp: x✝ : ℝ
⊢ -sin x✝ / cos x✝ = -tan x✝

Tactic:
neg_div,

Goal state after:
x✝ : ℝ
⊢ -(sin x✝ / cos x✝) = -tan x✝
Module: Mathlib.RingTheory.Binomial

Goal state before:
pp: case succ
R : Type u_1
inst✝² : NonAssocRing R
inst✝¹ : Pow R ℕ
inst✝ : NatPowAssoc R
r : R
k : ℕ
ih : (ascPochhammer ℕ k).smeval (-r) = (↑k).negOnePow • (descPochhammer ℤ k).smeval r
h : (X + ↑k).smeval (-r) = -(X + -↑k).smeval r
⊢ -((↑k).negOnePow • (descPochhammer ℤ k).smeval r) * (X + -↑k).smeval r =
    (↑k + ↑1).negOnePow • ((descPochhammer ℤ k).smeval r * (X + -↑k).smeval r)

Tactic:
Int.natCast_one,

Goal state after:
case succ
R : Type u_1
inst✝² : NonAssocRing R
inst✝¹ : Pow R ℕ
inst✝ : NatPowAssoc R
r : R
k : ℕ
ih : (ascPochhammer ℕ k).smeval (-r) = (↑k).negOnePow • (descPochhammer ℤ k).smeval r
h : (X + ↑k).smeval (-r) = -(X + -↑k).smeval r
⊢ -((↑k).negOnePow • (descPochhammer ℤ k).smeval r) * (X + -↑k).smeval r =
    (↑k + 1).negOnePow • ((descPochhammer ℤ k).smeval r * (X + -↑k).smeval r)
Module: Mathlib.Analysis.SpecialFunctions.Pow.Deriv

Goal state before:
pp: p : ℂ × ℂ
hp : p.1 ∈ slitPlane
A : p.1 ≠ 0
this : (fun x ↦ x.1 ^ x.2) =ᶠ[𝓝 p] fun x ↦ cexp (log x.1 * x.2)
⊢ HasStrictFDerivAt (fun x ↦ x.1 ^ x.2)
    (p.1 ^ p.2 • (p.2 / p.1) • ContinuousLinearMap.fst ℂ ℂ ℂ + (p.1 ^ p.2 * log p.1) • ContinuousLinearMap.snd ℂ ℂ ℂ) p

Tactic:
mul_smul

Goal state after:
p : ℂ × ℂ
hp : p.1 ∈ slitPlane
A : p.1 ≠ 0
this : (fun x ↦ x.1 ^ x.2) =ᶠ[𝓝 p] fun x ↦ cexp (log x.1 * x.2)
⊢ HasStrictFDerivAt (fun x ↦ x.1 ^ x.2)
    (p.1 ^ p.2 • (p.2 / p.1) • ContinuousLinearMap.fst ℂ ℂ ℂ + p.1 ^ p.2 • log p.1 • ContinuousLinearMap.snd ℂ ℂ ℂ) p
Module: Mathlib.Analysis.Analytic.Binomial

Goal state before:
pp: case convert_7
a : ℂ
this : binomialSeries ℂ a = FormalMultilinearSeries.ofScalars ℂ fun n ↦ iteratedDeriv n (fun x ↦ (1 + x) ^ a) 0 / ↑n !
z : ℂ
hz : z ∈ Metric.eball 0 1
⊢ ‖(fun x ↦ x) z‖ < 1

Tactic:
rw [← ENNReal.ofReal_one, Metric.eball_ofReal] at hz

Goal state after:
case convert_7
a : ℂ
this : binomialSeries ℂ a = FormalMultilinearSeries.ofScalars ℂ fun n ↦ iteratedDeriv n (fun x ↦ (1 + x) ^ a) 0 / ↑n !
z : ℂ
hz : z ∈ Metric.ball 0 1
⊢ ‖(fun x ↦ x) z‖ < 1
Module: Mathlib.Analysis.SpecialFunctions.Log.ENNRealLog

Goal state before:
pp: x y : ℝ≥0∞
⊢ (x * y).log = x.log + y.log

Tactic:
rcases ENNReal.trichotomy x with (rfl | rfl | x_real)

Goal state after:
case inl
y : ℝ≥0∞
⊢ (0 * y).log = log 0 + y.log

case inr.inl
y : ℝ≥0∞
⊢ (∞ * y).log = ∞.log + y.log

case inr.inr
x y : ℝ≥0∞
x_real : 0 < x.toReal
⊢ (x * y).log = x.log + y.log
Module: Mathlib.Analysis.SpecialFunctions.Log.ENNRealLog

Goal state before:
pp: case inl
x : ℝ≥0∞
y : ℝ
y_neg : y < 0
⊢ (x ^ y).log = ↑y * x.log

Tactic:
rcases ENNReal.trichotomy x with (rfl | rfl | x_real)

Goal state after:
case inl.inl
y : ℝ
y_neg : y < 0
⊢ (0 ^ y).log = ↑y * log 0

case inl.inr.inl
y : ℝ
y_neg : y < 0
⊢ (∞ ^ y).log = ↑y * ∞.log

case inl.inr.inr
x : ℝ≥0∞
y : ℝ
y_neg : y < 0
x_real : 0 < x.toReal
⊢ (x ^ y).log = ↑y * x.log
Module: Mathlib.Analysis.SpecialFunctions.Log.ENNRealLog

Goal state before:
pp: case inr.inr
x : ℝ≥0∞
y : ℝ
y_pos : 0 < y
⊢ (x ^ y).log = ↑y * x.log

Tactic:
rcases ENNReal.trichotomy x with (rfl | rfl | x_real)

Goal state after:
case inr.inr.inl
y : ℝ
y_pos : 0 < y
⊢ (0 ^ y).log = ↑y * log 0

case inr.inr.inr.inl
y : ℝ
y_pos : 0 < y
⊢ (∞ ^ y).log = ↑y * ∞.log

case inr.inr.inr.inr
x : ℝ≥0∞
y : ℝ
y_pos : 0 < y
x_real : 0 < x.toReal
⊢ (x ^ y).log = ↑y * x.log
Module: Mathlib.Analysis.Asymptotics.LinearGrowth

Goal state before:
pp: ⊢ linearGrowthInf ⊤ = ⊤

Tactic:
nth_rw 2 [← liminf_const (f := atTop (α := ℕ)) ⊤]
  refine liminf_congr (eventually_atTop.2 ?_)
  exact ⟨1, fun n n_pos ↦ top_div_of_pos_ne_top (Nat.cast_pos'.2 n_pos) (natCast_ne_top n)⟩

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

Goal state before:
pp: case zero
α : Type u_1
β : Type u_2
l : Filter α
k f : α → β
inst✝¹ : TopologicalSpace β
inst✝ : CommSemiring β
hf : SuperpolynomialDecay l k f
⊢ SuperpolynomialDecay l k (k ^ 0 * f)

Tactic:
simpa only [one_mul, pow_zero] using hf

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

Goal state before:
pp: case inl
X : Type u_1
inst✝ : PseudoMetricSpace X
m0 : MeasurableSpace X
μ : Measure X
v : VitaliFamily μ
δ : ℝ
δpos : 0 < δ
s : Set X
f : X → Set (Set X)
fset : ∀ x ∈ s, f x ⊆ v.setsAt x ∪ {s | MeasurableSet s ∧ (interior s).Nonempty ∧ ¬s ⊆ closedBall x δ}
ffine : ∀ x ∈ s, ∀ ε > 0, ∃ t ∈ f x, t ⊆ closedBall x ε
g : X → Set (Set X) := fun x ↦ f x ∩ v.setsAt x
x : X
hx : x ∈ s
ε : ℝ
εpos : ε > 0
t : Set X
tf : t ∈ f x
ht : t ⊆ closedBall x (min ε δ)
h't : t ∈ v.setsAt x
⊢ ∃ t ∈ g x, t ⊆ closedBall x ε

pp: case inr
X : Type u_1
inst✝ : PseudoMetricSpace X
m0 : MeasurableSpace X
μ : Measure X
v : VitaliFamily μ
δ : ℝ
δpos : 0 < δ
s : Set X
f : X → Set (Set X)
fset : ∀ x ∈ s, f x ⊆ v.setsAt x ∪ {s | MeasurableSet s ∧ (interior s).Nonempty ∧ ¬s ⊆ closedBall x δ}
ffine : ∀ x ∈ s, ∀ ε > 0, ∃ t ∈ f x, t ⊆ closedBall x ε
g : X → Set (Set X) := fun x ↦ f x ∩ v.setsAt x
x : X
hx : x ∈ s
ε : ℝ
εpos : ε > 0
t : Set X
tf : t ∈ f x
ht : t ⊆ closedBall x (min ε δ)
h't : t ∈ {s | MeasurableSet s ∧ (interior s).Nonempty ∧ ¬s ⊆ closedBall x δ}
⊢ ∃ t ∈ g x, t ⊆ closedBall x ε

Tactic:
· exact ⟨t, ⟨tf, h't⟩, ht.trans (closedBall_subset_closedBall (min_le_left _ _))⟩

Goal state after:
case inr
X : Type u_1
inst✝ : PseudoMetricSpace X
m0 : MeasurableSpace X
μ : Measure X
v : VitaliFamily μ
δ : ℝ
δpos : 0 < δ
s : Set X
f : X → Set (Set X)
fset : ∀ x ∈ s, f x ⊆ v.setsAt x ∪ {s | MeasurableSet s ∧ (interior s).Nonempty ∧ ¬s ⊆ closedBall x δ}
ffine : ∀ x ∈ s, ∀ ε > 0, ∃ t ∈ f x, t ⊆ closedBall x ε
g : X → Set (Set X) := fun x ↦ f x ∩ v.setsAt x
x : X
hx : x ∈ s
ε : ℝ
εpos : ε > 0
t : Set X
tf : t ∈ f x
ht : t ⊆ closedBall x (min ε δ)
h't : t ∈ {s | MeasurableSet s ∧ (interior s).Nonempty ∧ ¬s ⊆ closedBall x δ}
⊢ ∃ t ∈ g x, t ⊆ closedBall x ε
Module: Mathlib.Analysis.Asymptotics.ExpGrowth

Goal state before:
pp: u v : ℕ → ℝ≥0∞
b : ℝ≥0∞
hb : b ≠ 0
h : ∀ᶠ (n : ℕ) in atTop, b * u n ≤ v n
⊢ expGrowthInf u ≤ expGrowthInf v

Tactic:
apply (expGrowthInf_eventually_monotone h).trans' (le_expGrowthInf_mul.trans' _)

Goal state after:
u v : ℕ → ℝ≥0∞
b : ℝ≥0∞
hb : b ≠ 0
h : ∀ᶠ (n : ℕ) in atTop, b * u n ≤ v n
⊢ expGrowthInf u ≤ (expGrowthInf fun x ↦ b) + expGrowthInf u
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' ∈ Set.Ioo 0 (linearGrowthInf fun n ↦ ↑(v n)),
    ∀ b' ∈ Set.Ioo 0 (linearGrowthSup u), a' * b' ≤ linearGrowthSup (u ∘ v)

Tactic:
intro a ⟨a_0, a_v⟩ b ⟨b_0, b_u⟩

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
b_u : b < linearGrowthSup u
⊢ a * b ≤ linearGrowthSup (u ∘ v)
Module: Mathlib.MeasureTheory.Covering.Vitali

Goal state before:
pp: case neg
α : Type u_1
ι : Type u_2
inst✝ : PseudoMetricSpace α
t : Set ι
x : ι → α
r : ι → ℝ
R : ℝ
hr : ∀ a ∈ t, r a ≤ R
τ : ℝ
hτ : 3 < τ
h✝ : t.Nonempty
ht : ∃ a ∈ t, 0 ≤ r a
t' : Set ι := {a | a ∈ t ∧ 0 ≤ r a}
u : Set ι
ut' : u ⊆ t'
u_disj : u.PairwiseDisjoint fun a ↦ closedBall (x a) (r a)
hu : ∀ a ∈ t', ∃ b ∈ u, (closedBall (x a) (r a) ∩ closedBall (x b) (r b)).Nonempty ∧ r a ≤ (τ - 1) / 2 * r b
A : ∀ a ∈ t', ∃ b ∈ u, closedBall (x a) (r a) ⊆ closedBall (x b) (τ * r b)
a : ι
ha : a ∈ t
⊢ ∃ b ∈ u, closedBall (x a) (r a) ⊆ closedBall (x b) (τ * r b)

Tactic:
rcases le_or_gt 0 (r a) with (h'a | h'a)

Goal state after:
case neg.inl
α : Type u_1
ι : Type u_2
inst✝ : PseudoMetricSpace α
t : Set ι
x : ι → α
r : ι → ℝ
R : ℝ
hr : ∀ a ∈ t, r a ≤ R
τ : ℝ
hτ : 3 < τ
h✝ : t.Nonempty
ht : ∃ a ∈ t, 0 ≤ r a
t' : Set ι := {a | a ∈ t ∧ 0 ≤ r a}
u : Set ι
ut' : u ⊆ t'
u_disj : u.PairwiseDisjoint fun a ↦ closedBall (x a) (r a)
hu : ∀ a ∈ t', ∃ b ∈ u, (closedBall (x a) (r a) ∩ closedBall (x b) (r b)).Nonempty ∧ r a ≤ (τ - 1) / 2 * r b
A : ∀ a ∈ t', ∃ b ∈ u, closedBall (x a) (r a) ⊆ closedBall (x b) (τ * r b)
a : ι
ha : a ∈ t
h'a : 0 ≤ r a
⊢ ∃ b ∈ u, closedBall (x a) (r a) ⊆ closedBall (x b) (τ * r b)

case neg.inr
α : Type u_1
ι : Type u_2
inst✝ : PseudoMetricSpace α
t : Set ι
x : ι → α
r : ι → ℝ
R : ℝ
hr : ∀ a ∈ t, r a ≤ R
τ : ℝ
hτ : 3 < τ
h✝ : t.Nonempty
ht : ∃ a ∈ t, 0 ≤ r a
t' : Set ι := {a | a ∈ t ∧ 0 ≤ r a}
u : Set ι
ut' : u ⊆ t'
u_disj : u.PairwiseDisjoint fun a ↦ closedBall (x a) (r a)
hu : ∀ a ∈ t', ∃ b ∈ u, (closedBall (x a) (r a) ∩ closedBall (x b) (r b)).Nonempty ∧ r a ≤ (τ - 1) / 2 * r b
A : ∀ a ∈ t', ∃ b ∈ u, closedBall (x a) (r a) ⊆ closedBall (x b) (τ * r b)
a : ι
ha : a ∈ t
h'a : r a < 0
⊢ ∃ b ∈ u, closedBall (x a) (r a) ⊆ closedBall (x b) (τ * r b)
Module: Mathlib.Analysis.Asymptotics.LinearGrowth

Goal state before:
pp: u : ℕ → EReal
m : ℕ
h : Monotone u
hm : m ≠ 0
x : ℕ
hx : 0 < x
⊢ ↑x * ↑m / ↑x = ↑m

Tactic:
← mul_div

Goal state after:
u : ℕ → EReal
m : ℕ
h : Monotone u
hm : m ≠ 0
x : ℕ
hx : 0 < x
⊢ ↑x * (↑m / ↑x) = ↑m
Module: Mathlib.MeasureTheory.Integral.Average

Goal state before:
pp: α : Type u_1
m0 : MeasurableSpace α
μ : Measure α
f : α → ℝ≥0∞
⊢ ⨍⁻ (x : α), f x ∂μ ≤ essSup f μ

Tactic:
simpa using setLAverage_le_essSup univ f

Goal state after:
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
s : Set α
t : Set ι
C : ℝ≥0
r : ι → ℝ
c : ι → α
B : ι → Set α
hB : ∀ a ∈ t, B a ⊆ closedBall (c a) (r a)
μB : ∀ a ∈ t, μ (closedBall (c a) (3 * r a)) ≤ ↑C * μ (B a)
ht : ∀ a ∈ t, (interior (B a)).Nonempty
h't : ∀ a ∈ t, IsClosed[PseudoMetricSpace.toUniformSpace.toTopologicalSpace] (B a)
hf : ∀ x ∈ s, ∀ ε > 0, ∃ a ∈ t, r a ≤ ε ∧ c a = x
R : α → ℝ
hR0 : ∀ (x : α), 0 < R x
hR1 : ∀ (x : α), R x ≤ 1
hRμ : ∀ (x : α), μ (closedBall x (20 * R x)) < ∞
t' : Set ι := {a | a ∈ t ∧ r a ≤ R (c a)}
⊢ ∃ u ⊆ t', u.PairwiseDisjoint B ∧ ∀ a ∈ t', ∃ b ∈ u, (B a ∩ B b).Nonempty ∧ r a ≤ 2 * r b

Tactic:
by
    have A : ∀ a ∈ t', r a ≤ 1 := by
      intro a ha
      apply ha.2.trans (hR1 (c a))
    have A' : ∀ a ∈ t', (B a).Nonempty :=
      fun a hat' => Set.Nonempty.mono interior_subset (ht a hat'.1)
    refine exists_disjoint_subfamily_covering_enlargement
      B t' r 2 one_lt_two (fun a ha => ?_) 1 A A'
    exact nonempty_closedBall.1 ((A' a ha).mono (hB a ha.1))

Goal state after:
Module: Mathlib.MeasureTheory.Measure.Sub

Goal state before:
pp: α : Type u_1
m : MeasurableSpace α
μ ν : Measure α
inst✝ : IsFiniteMeasure ν
s : Set α
hs : MeasurableSet s
⊢ μ s + ν s - ν s = μ s

Tactic:
ENNReal.add_sub_cancel_right (measure_ne_top ν s)

Goal state after:
α : Type u_1
m : MeasurableSpace α
μ ν : Measure α
inst✝ : IsFiniteMeasure ν
s : Set α
hs : MeasurableSet s
⊢ μ s = μ s