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

Goal state before:
pp: case «1»
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)
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
x : X.obj (op { obj := ⦋1⦌, property := _proof_12 })
⊢ f₁
      ((ConcreteCategory.hom
          (X.map
            (σ₂ 0 δ₂_zero_comp_σ₂_one._proof_3 δ₂_zero_comp_σ₂_one._proof_4 ≫
                δ₂ 0 δ₂_zero_comp_σ₂_one._proof_4 δ₂_zero_comp_σ₂_one._proof_3).op))
        x) =
    (ConcreteCategory.hom (Y.map (Hom.tr (SimplexCategory.mkOfSucc 1) ⋯ f₂._proof_4).op))
      ((ConcreteCategory.hom (Y.map (σ₂ 1 _proof_15 _proof_12).op)) (f₁ x))

Tactic:
op_comp,

Goal state after:
case «1»
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)
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
x : X.obj (op { obj := ⦋1⦌, property := _proof_12 })
⊢ f₁
      ((ConcreteCategory.hom
          (X.map
            ((δ₂ 0 δ₂_zero_comp_σ₂_one._proof_4 δ₂_zero_comp_σ₂_one._proof_3).op ≫
              (σ₂ 0 δ₂_zero_comp_σ₂_one._proof_3 δ₂_zero_comp_σ₂_one._proof_4).op)))
        x) =
    (ConcreteCategory.hom (Y.map (Hom.tr (SimplexCategory.mkOfSucc 1) ⋯ f₂._proof_4).op))
      ((ConcreteCategory.hom (Y.map (σ₂ 1 _proof_15 _proof_12).op)) (f₁ x))
Module: Mathlib.AlgebraicTopology.SimplicialSet.NerveAdjunction

Goal state before:
pp: case «1»
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)
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
x : X.obj (op { obj := ⦋1⦌, property := _proof_12 })
⊢ (ConcreteCategory.hom (Y.map (σ₂ 0 _proof_13 _proof_11).op))
      (f₀ ((ConcreteCategory.hom (X.map (δ₂ 0 δ₂_zero_comp_σ₂_one._proof_4 δ₂_zero_comp_σ₂_one._proof_3).op)) x)) =
    (ConcreteCategory.hom
        (Y.map
          (σ₂ 0 δ₂_zero_comp_σ₂_one._proof_3 δ₂_zero_comp_σ₂_one._proof_4 ≫
              δ₂ 0 δ₂_zero_comp_σ₂_one._proof_4 δ₂_zero_comp_σ₂_one._proof_3).op))
      (f₁ x)

Tactic:
op_comp,

Goal state after:
case «1»
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)
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
x : X.obj (op { obj := ⦋1⦌, property := _proof_12 })
⊢ (ConcreteCategory.hom (Y.map (σ₂ 0 _proof_13 _proof_11).op))
      (f₀ ((ConcreteCategory.hom (X.map (δ₂ 0 δ₂_zero_comp_σ₂_one._proof_4 δ₂_zero_comp_σ₂_one._proof_3).op)) x)) =
    (ConcreteCategory.hom
        (Y.map
          ((δ₂ 0 δ₂_zero_comp_σ₂_one._proof_4 δ₂_zero_comp_σ₂_one._proof_3).op ≫
            (σ₂ 0 δ₂_zero_comp_σ₂_one._proof_3 δ₂_zero_comp_σ₂_one._proof_4).op)))
      (f₁ x)
Module: Mathlib.Analysis.Calculus.InverseFunctionTheorem.ApproximatesLinearOn

Goal state before:
pp: 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 := fun x ↦ x + f'symm.toFun (y - f x)
hg : g = fun x ↦ x + f'symm.toFun (y - f x)
u : ℕ → E := fun n ↦ g^[n] b
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
n : ℕ
w : E
hw : dist w b ≤ ↑f'symm.nnnorm * (1 - (↑c * ↑f'symm.nnnorm) ^ n) / (1 - ↑c * ↑f'symm.nnnorm) * dist (f b) y
⊢ ↑f'symm.nnnorm * (1 - (↑c * ↑f'symm.nnnorm) ^ n) * dist (f b) y ≤ ε * (1 - ↑c * ↑f'symm.nnnorm)

Tactic:
calc
      (f'symm.nnnorm : ℝ) * (1 - ((c : ℝ) * f'symm.nnnorm) ^ n) * dist (f b) y =
          f'symm.nnnorm * dist (f b) y * (1 - ((c : ℝ) * f'symm.nnnorm) ^ n) := by
        ring
      _ ≤ f'symm.nnnorm * dist (f b) y * 1 := by
        gcongr
        rw [sub_le_self_iff]
        positivity
      _ ≤ f'symm.nnnorm * (((f'symm.nnnorm : ℝ)⁻¹ - c) * ε) := by
        rw [mul_one]
        gcongr
        exact mem_closedBall'.1 hy
      _ = ε * (1 - c * f'symm.nnnorm) := by field

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
g : 𝕜 → E
z₀ : 𝕜
f : 𝕜 → 𝕜
hf : AnalyticAt 𝕜 f z₀
hg : AnalyticAt 𝕜 g z₀
hf' : ¬analyticOrderAt f z₀ = ⊤
hg' : ¬analyticOrderAt g z₀ = ⊤
f' : 𝕜 → 𝕜
h₁f' : AnalyticAt 𝕜 f' z₀
h₂f' : f' z₀ ≠ 0
h₃f' : f =ᶠ[𝓝 z₀] fun z ↦ (z - z₀) ^ analyticOrderNatAt f z₀ • f' z
g' : 𝕜 → E
h₁g' : AnalyticAt 𝕜 g' z₀
h₂g' : g' z₀ ≠ 0
h₃g' : g =ᶠ[𝓝 z₀] fun z ↦ (z - z₀) ^ analyticOrderNatAt g z₀ • g' z
⊢ analyticOrderAt (f • g) z₀ = ↑(analyticOrderNatAt f z₀) + analyticOrderAt g z₀

Tactic:
← Nat.cast_analyticOrderNatAt hg',

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
g : 𝕜 → E
z₀ : 𝕜
f : 𝕜 → 𝕜
hf : AnalyticAt 𝕜 f z₀
hg : AnalyticAt 𝕜 g z₀
hf' : ¬analyticOrderAt f z₀ = ⊤
hg' : ¬analyticOrderAt g z₀ = ⊤
f' : 𝕜 → 𝕜
h₁f' : AnalyticAt 𝕜 f' z₀
h₂f' : f' z₀ ≠ 0
h₃f' : f =ᶠ[𝓝 z₀] fun z ↦ (z - z₀) ^ analyticOrderNatAt f z₀ • f' z
g' : 𝕜 → E
h₁g' : AnalyticAt 𝕜 g' z₀
h₂g' : g' z₀ ≠ 0
h₃g' : g =ᶠ[𝓝 z₀] fun z ↦ (z - z₀) ^ analyticOrderNatAt g z₀ • g' z
⊢ analyticOrderAt (f • g) z₀ = ↑(analyticOrderNatAt f z₀) + ↑(analyticOrderNatAt g z₀)
Module: Mathlib.Analysis.Analytic.Order

Goal state before:
pp: case succ
𝕜 : Type u_3
E : Type u_4
inst✝⁴ : NontriviallyNormedField 𝕜
inst✝³ : NormedAddCommGroup E
inst✝² : NormedSpace 𝕜 E
inst✝¹ : CompleteSpace E
f : 𝕜 → E
z₀ : 𝕜
hf : AnalyticAt 𝕜 f z₀
inst✝ : CharZero 𝕜
n' : ℕ
hk : ∀ {n : ℕ}, ↑n = analyticOrderAt f z₀ → n ≠ 0 → n' ≤ n → analyticOrderAt (deriv^[n'] f) z₀ = ↑(n - n')
n : ℕ
⊢ ↑n = analyticOrderAt f z₀ → n ≠ 0 → n' + 1 ≤ n → analyticOrderAt (deriv^[n' + 1] f) z₀ = ↑(n - (n' + 1))

Tactic:
intro Hn Hpos Hk

Goal state after:
case succ
𝕜 : Type u_3
E : Type u_4
inst✝⁴ : NontriviallyNormedField 𝕜
inst✝³ : NormedAddCommGroup E
inst✝² : NormedSpace 𝕜 E
inst✝¹ : CompleteSpace E
f : 𝕜 → E
z₀ : 𝕜
hf : AnalyticAt 𝕜 f z₀
inst✝ : CharZero 𝕜
n' : ℕ
hk : ∀ {n : ℕ}, ↑n = analyticOrderAt f z₀ → n ≠ 0 → n' ≤ n → analyticOrderAt (deriv^[n'] f) z₀ = ↑(n - n')
n : ℕ
Hn : ↑n = analyticOrderAt f z₀
Hpos : n ≠ 0
Hk : n' + 1 ≤ n
⊢ analyticOrderAt (deriv^[n' + 1] f) z₀ = ↑(n - (n' + 1))
Module: Mathlib.Analysis.SpecialFunctions.Complex.Analytic

Goal state before:
pp: x : ℝ
hx : 0 < x
this : Real.log = fun x ↦ (log ↑x).re
⊢ AnalyticAt ℝ (fun x ↦ (log ↑x).re) x

Tactic:
refine AnalyticAt.re_ofReal <| analyticAt_clog ?_

Goal state after:
x : ℝ
hx : 0 < x
this : Real.log = fun x ↦ (log ↑x).re
⊢ ↑x ∈ slitPlane
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
n : ℕ
f : 𝕜 → E
hf : AnalyticAt 𝕜 f z₀
IH : analyticOrderAt (deriv f) z₀ = ↑n ↔ (∀ k < n, iteratedDeriv (k + 1) f z₀ = 0) ∧ iteratedDeriv (n + 1) f z₀ ≠ 0
ho : analyticOrderAt f z₀ = ↑(n + 1)
h_zero : ∀ k < n, iteratedDeriv (k + 1) f z₀ = 0
h_nz : iteratedDeriv (n + 1) f z₀ ≠ 0
k : ℕ
hk : 0 < n + 1
⊢ iteratedDeriv 0 f z₀ = 0

Tactic:
rw [iteratedDeriv_zero, ← hf.analyticOrderAt_ne_zero, ho, Nat.cast_add_one]

Goal state after:
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
n : ℕ
f : 𝕜 → E
hf : AnalyticAt 𝕜 f z₀
IH : analyticOrderAt (deriv f) z₀ = ↑n ↔ (∀ k < n, iteratedDeriv (k + 1) f z₀ = 0) ∧ iteratedDeriv (n + 1) f z₀ ≠ 0
ho : analyticOrderAt f z₀ = ↑(n + 1)
h_zero : ∀ k < n, iteratedDeriv (k + 1) f z₀ = 0
h_nz : iteratedDeriv (n + 1) f z₀ ≠ 0
k : ℕ
hk : 0 < n + 1
⊢ ↑n + 1 ≠ 0
Module: Mathlib.Analysis.Calculus.FDeriv.Extend

Goal state before:
pp: E : Type u_1
inst✝¹ : NormedAddCommGroup E
inst✝ : NormedSpace ℝ E
f g : ℝ → E
x : ℝ
f_diff : ∀ (y : ℝ), y ≠ x → HasDerivAt f (g y) y
hf : ContinuousAt f x
hg : ContinuousAt g x
y : ℝ
⊢ HasDerivAt f (g y) y

Tactic:
rcases eq_or_ne y x with (rfl | hne)

Goal state after:
case inl
E : Type u_1
inst✝¹ : NormedAddCommGroup E
inst✝ : NormedSpace ℝ E
f g : ℝ → E
y : ℝ
f_diff : ∀ (y_1 : ℝ), y_1 ≠ y → HasDerivAt f (g y_1) y_1
hf : ContinuousAt f y
hg : ContinuousAt g y
⊢ HasDerivAt f (g y) y

case inr
E : Type u_1
inst✝¹ : NormedAddCommGroup E
inst✝ : NormedSpace ℝ E
f g : ℝ → E
x : ℝ
f_diff : ∀ (y : ℝ), y ≠ x → HasDerivAt f (g y) y
hf : ContinuousAt f x
hg : ContinuousAt g x
y : ℝ
hne : y ≠ x
⊢ HasDerivAt f (g y) y
Module: Mathlib.RingTheory.Binomial

Goal state before:
pp: case succ
R : Type u_1
inst✝ : Ring R
r s : R
h : Commute r s
k : ℕ
ih :
  (descPochhammer ℤ k).smeval (r + s) =
    ∑ ij ∈ antidiagonal k, ↑(k.choose ij.1) * ((descPochhammer ℤ ij.1).smeval r * (descPochhammer ℤ ij.2).smeval s)
⊢ ∑ i ∈ antidiagonal k,
      (r + s - k • 1) * (↑(k.choose i.1) * ((descPochhammer ℤ i.1).smeval r * (descPochhammer ℤ i.2).smeval s)) =
    ∑ x ∈ antidiagonal k,
      (↑(k.choose x.1) * ((descPochhammer ℤ x.1).smeval r * (descPochhammer ℤ (x.2 + 1)).smeval s) +
        ↑(k.choose x.2) * ((descPochhammer ℤ (x.1 + 1)).smeval r * (descPochhammer ℤ x.2).smeval s))

Tactic:
refine sum_congr rfl ?_

Goal state after:
case succ
R : Type u_1
inst✝ : Ring R
r s : R
h : Commute r s
k : ℕ
ih :
  (descPochhammer ℤ k).smeval (r + s) =
    ∑ ij ∈ antidiagonal k, ↑(k.choose ij.1) * ((descPochhammer ℤ ij.1).smeval r * (descPochhammer ℤ ij.2).smeval s)
⊢ ∀ x ∈ antidiagonal k,
    (r + s - k • 1) * (↑(k.choose x.1) * ((descPochhammer ℤ x.1).smeval r * (descPochhammer ℤ x.2).smeval s)) =
      ↑(k.choose x.1) * ((descPochhammer ℤ x.1).smeval r * (descPochhammer ℤ (x.2 + 1)).smeval s) +
        ↑(k.choose x.2) * ((descPochhammer ℤ (x.1 + 1)).smeval r * (descPochhammer ℤ x.2).smeval s)
Module: Mathlib.RingTheory.Binomial

Goal state before:
pp: R : Type u_1
inst✝¹ : Ring R
inst✝ : BinomialRing R
r s : R
k : ℕ
h : Commute r s
⊢ ∑ ij ∈ antidiagonal k, ↑(k.choose ij.1) * ((descPochhammer ℤ ij.1).smeval r * (descPochhammer ℤ ij.2).smeval s) =
    ∑ x ∈ antidiagonal k, k.factorial • (choose r x.1 * choose s x.2)

Tactic:
refine sum_congr rfl ?_

Goal state after:
R : Type u_1
inst✝¹ : Ring R
inst✝ : BinomialRing R
r s : R
k : ℕ
h : Commute r s
⊢ ∀ x ∈ antidiagonal k,
    ↑(k.choose x.1) * ((descPochhammer ℤ x.1).smeval r * (descPochhammer ℤ x.2).smeval s) =
      k.factorial • (choose r x.1 * choose s x.2)
Module: Mathlib.Analysis.Analytic.IteratedFDeriv

Goal state before:
pp: case succ
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
k : ℕ
ih : HasFPowerSeriesWithinOnBall (iteratedFDerivWithin 𝕜 k f s) (p.iteratedFDerivSeries k) s x r
⊢ HasFPowerSeriesWithinOnBall
    (⇑(continuousMultilinearCurryLeftEquiv 𝕜 (fun x ↦ E) F).symm ∘ fderivWithin 𝕜 (iteratedFDerivWithin 𝕜 k f s) s)
    (p.iteratedFDerivSeries (k + 1)) s x r

Tactic:
apply (continuousMultilinearCurryLeftEquiv 𝕜 (fun _ : Fin (k + 1) ↦ E) F).symm
      |>.toContinuousLinearEquiv.toContinuousLinearMap.comp_hasFPowerSeriesWithinOnBall
        (ih.fderivWithin_of_mem_of_analyticOn (h'.iteratedFDerivWithin hs _) hs hx)

Goal state after:
Module: Mathlib.Analysis.SpecialFunctions.Log.ENNRealLogExp

Goal state before:
pp: b : ℝ≥0∞
hb : b < 1
⊢ Filter.Tendsto (fun x ↦ b ^ x) Filter.atBot (𝓝 ∞)

Tactic:
simp_rw [ENNReal.rpow_eq_exp_mul_log]
  refine EReal.tendsto_exp_nhds_top_nhds_top.comp ?_
  convert! EReal.Tendsto.mul_const tendsto_coe_atBot _ _
  · rw [EReal.bot_mul_of_neg (log_lt_zero_iff.2 hb)]
  all_goals simp

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

Goal state before:
pp: a b : ℝ
h : a < b
hb : 0 ≤ b
⊢ ∀ᶠ (x : ℝ) in atTop, ∃ n, a * x ≤ ↑n ∧ ↑n ≤ b * x

Tactic:
filter_upwards [eventually_ge_atTop 0, Real.eventually_atTop_exists_int_between h]
    with x x_0 ⟨m, m_a, m_b⟩
  refine ⟨m.toNat, m_a.trans (Int.cast_le.2 m.self_le_toNat), ?_⟩
  apply le_of_eq_of_le _ (max_le m_b (mul_nonneg hb x_0))
  exact_mod_cast Int.toNat_eq_max m

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

Goal state before:
pp: α : Type u_1
m0 : MeasurableSpace α
μ : Measure α
inst✝ : IsFiniteMeasure μ
h : NeZero μ
c : ℝ≥0∞
⊢ ⨍⁻ (_x : α), c ∂μ = c

Tactic:
simp only [laverage, lintegral_const, measure_univ, mul_one]

Goal state after:
Module: Mathlib.MeasureTheory.Function.AEEqOfLIntegral

Goal state before:
pp: α : Type u_1
m0 : MeasurableSpace α
μ : Measure α
inst✝ : SigmaFinite μ
f g : α → ℝ≥0∞
hf : AEMeasurable f μ
hg : AEMeasurable g μ
h : ∀ (s : Set α), MeasurableSet s → μ s < ∞ → ∫⁻ (x : α) in s, f x ∂μ = ∫⁻ (x : α) in s, g x ∂μ
A : f ≤ᵐ[μ] g
B : g ≤ᵐ[μ] f
⊢ f =ᵐ[μ] g

Tactic:
filter_upwards [A, B] with x using le_antisymm

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

Goal state before:
pp: α : Type u_1
m : MeasurableSpace α
μ ν : Measure α
⊢ (μ.singularPart ν).rnDeriv ν =ᵐ[ν] 0

Tactic:
by
  rw [rnDeriv_eq_zero]
  exact mutuallySingular_singularPart μ ν

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

Goal state before:
pp: α : Type u_1
m : MeasurableSpace α
μ ν s : Measure α
f : α → ℝ≥0∞
hf : Measurable f
hadd : μ.singularPart ν + ν.withDensity (μ.rnDeriv ν) = s + ν.withDensity f
this : μ.HaveLebesgueDecomposition ν
hmeas : Measurable (μ.rnDeriv ν)
hadd' : μ = μ.singularPart ν + ν.withDensity (μ.rnDeriv ν)
S : Set α
hS₁ : MeasurableSet S
hS₂ : s S = 0
hS₃ : ν Sᶜ = 0
T : Set α
hT₁ : MeasurableSet T
hT₂ : (μ.singularPart ν) T = 0
hT₃ : ν Tᶜ = 0
hνinter : ν (S ∩ T)ᶜ = 0
⊢ ν.withDensity f = ν.withDensity (μ.rnDeriv ν)

Tactic:
have heq :
    (ν.withDensity f).restrict (S ∩ T) = (ν.withDensity (μ.rnDeriv ν)).restrict (S ∩ T) := by
    ext1 A hA
    have hs : s (A ∩ (S ∩ T)) = 0 := by
      rw [← nonpos_iff_eq_zero]
      exact hS₂ ▸ measure_mono (inter_subset_right.trans inter_subset_left)
    have hsing : μ.singularPart ν (A ∩ (S ∩ T)) = 0 := by
      rw [← nonpos_iff_eq_zero]
      exact hT₂ ▸ measure_mono (inter_subset_right.trans inter_subset_right)
    rw [restrict_apply hA, restrict_apply hA, ← add_zero (ν.withDensity f (A ∩ (S ∩ T))), ← hs, ←
      add_apply, add_comm, ← hadd, add_apply, hsing, zero_add]

Goal state after:
α : Type u_1
m : MeasurableSpace α
μ ν s : Measure α
f : α → ℝ≥0∞
hf : Measurable f
hadd : μ.singularPart ν + ν.withDensity (μ.rnDeriv ν) = s + ν.withDensity f
this : μ.HaveLebesgueDecomposition ν
hmeas : Measurable (μ.rnDeriv ν)
hadd' : μ = μ.singularPart ν + ν.withDensity (μ.rnDeriv ν)
S : Set α
hS₁ : MeasurableSet S
hS₂ : s S = 0
hS₃ : ν Sᶜ = 0
T : Set α
hT₁ : MeasurableSet T
hT₂ : (μ.singularPart ν) T = 0
hT₃ : ν Tᶜ = 0
hνinter : ν (S ∩ T)ᶜ = 0
heq : (ν.withDensity f).restrict (S ∩ T) = (ν.withDensity (μ.rnDeriv ν)).restrict (S ∩ T)
⊢ ν.withDensity f = ν.withDensity (μ.rnDeriv ν)
Module: Mathlib.MeasureTheory.Covering.Differentiation

Goal state before:
pp: case hc
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
w : Set ℝ≥0∞
w_count : w.Countable
w_dense : Dense w
left✝ : 0 ∉ w
w_top : ∞ ∉ w
I : ∀ x ∈ w, x ≠ ∞
c : ℝ≥0
hc : ↑c ∈ w
d : ℝ≥0
hd : ↑d ∈ w
hcd : ↑c < ↑d
x : α
h1x : ∃ᶠ (a : Set α) in v.filterAt x, ρ a / μ a < ↑c
a✝ : ∃ᶠ (x : Set α) in v.filterAt x, ↑d < ρ x / μ x
⊢ ∃ᶠ (a : Set α) in v.filterAt x, ρ a ≤ ↑c * μ a

Tactic:
apply h1x.mono fun a ha => ?_

Goal state after:
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
w : Set ℝ≥0∞
w_count : w.Countable
w_dense : Dense w
left✝ : 0 ∉ w
w_top : ∞ ∉ w
I : ∀ x ∈ w, x ≠ ∞
c : ℝ≥0
hc : ↑c ∈ w
d : ℝ≥0
hd : ↑d ∈ w
hcd : ↑c < ↑d
x : α
h1x : ∃ᶠ (a : Set α) in v.filterAt x, ρ a / μ a < ↑c
a✝ : ∃ᶠ (x : Set α) in v.filterAt x, ↑d < ρ x / μ x
a : Set α
ha : ρ a / μ a < ↑c
⊢ ρ a ≤ ↑c * μ a
Module: Mathlib.Analysis.Calculus.Monotone

Goal state before:
pp: f : StieltjesFunction ℝ
x : ℝ
hx : Tendsto (fun a ↦ f.measure a / volume a) ((vitaliFamily volume 1).filterAt x) (𝓝 (f.measure.rnDeriv volume x))
h'x : f.measure.rnDeriv volume x < ⊤
h''x : ¬leftLim (↑f) x ≠ ↑f x
L1 : Tendsto (fun y ↦ (↑f y - ↑f x) / (y - x)) (𝓝[>] x) (𝓝 (f.measure.rnDeriv volume x).toReal)
L2 : Tendsto (fun y ↦ (leftLim (↑f) y - ↑f x) / (y - x)) (𝓝[<] x) (𝓝 (f.measure.rnDeriv volume x).toReal)
L3 :
  Tendsto (fun y ↦ (leftLim (↑f) (y + 1 * (y - x) ^ 2) - ↑f x) / (y - x)) (𝓝[<] x)
    (𝓝 (f.measure.rnDeriv volume x).toReal)
y : ℝ
hy : y < x
⊢ ↑f y ≤ leftLim (↑f) (y + 1 * (y - x) ^ 2)

Tactic:
apply f.mono.le_leftLim

Goal state after:
f : StieltjesFunction ℝ
x : ℝ
hx : Tendsto (fun a ↦ f.measure a / volume a) ((vitaliFamily volume 1).filterAt x) (𝓝 (f.measure.rnDeriv volume x))
h'x : f.measure.rnDeriv volume x < ⊤
h''x : ¬leftLim (↑f) x ≠ ↑f x
L1 : Tendsto (fun y ↦ (↑f y - ↑f x) / (y - x)) (𝓝[>] x) (𝓝 (f.measure.rnDeriv volume x).toReal)
L2 : Tendsto (fun y ↦ (leftLim (↑f) y - ↑f x) / (y - x)) (𝓝[<] x) (𝓝 (f.measure.rnDeriv volume x).toReal)
L3 :
  Tendsto (fun y ↦ (leftLim (↑f) (y + 1 * (y - x) ^ 2) - ↑f x) / (y - x)) (𝓝[<] x)
    (𝓝 (f.measure.rnDeriv volume x).toReal)
y : ℝ
hy : y < x
⊢ y < y + 1 * (y - x) ^ 2
Module: Mathlib.MeasureTheory.Measure.Decomposition.Lebesgue

Goal state before:
pp: case refine_4.refine_1
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
this :
  Filter.Tendsto (fun n ↦ ∫⁻ (x : α), (⨆ k, ⨆ (_ : k ≤ n), f k) x ∂ν) Filter.atTop
    (nhds (∫⁻ (x : α), (⨆ n, ⨆ k, ⨆ (_ : k ≤ n), f k) x ∂ν))
n : ℕ
⊢ g n ≤ ∫⁻ (x : α), (⨆ k, ⨆ (_ : k ≤ n), f k) x ∂ν

Tactic:
← hf₂ n

Goal state after:
case refine_4.refine_1
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
this :
  Filter.Tendsto (fun n ↦ ∫⁻ (x : α), (⨆ k, ⨆ (_ : k ≤ n), f k) x ∂ν) Filter.atTop
    (nhds (∫⁻ (x : α), (⨆ n, ⨆ k, ⨆ (_ : k ≤ n), f k) x ∂ν))
n : ℕ
⊢ (fun f ↦ ∫⁻ (x : α), f x ∂ν) (f n) ≤ ∫⁻ (x : α), (⨆ k, ⨆ (_ : k ≤ n), f k) x ∂ν
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
⊢ ∫⁻ (a : α) in A, ξ a ∂ν ≤ μ A

Tactic:
rw [hξ]

Goal state after:
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
⊢ ∫⁻ (a : α) in A, (⨆ n, ⨆ k, ⨆ (_ : k ≤ n), f k) a ∂ν ≤ μ A