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 1 _proof_15 _proof_12).op ≫ (δ₂ 0 _proof_12 _proof_15).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 _proof_12 _proof_15 ≫ σ₂ 1 _proof_15 _proof_12).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 1 _proof_15 _proof_12).op ≫ (Hom.tr (SimplexCategory.δ 0) ⋯ f₂._proof_4).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 (Hom.tr (SimplexCategory.δ 0) ⋯ f₂._proof_4 ≫ σ₂ 1 _proof_15 _proof_12).op)) (f₁ x)
Module: Mathlib.Analysis.AbsoluteValue.Equivalence

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

Tactic:
· exact ⟨1, zero_lt_one,
      funext fun x ↦ by
        rcases eq_or_ne x 0 with rfl | h₀ <;>
        aesop (add simp [h.isNontrivial_congr])⟩

Goal state after:
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
hf : AnalyticAt 𝕜 f z₀
⊢ analyticOrderAt f z₀ = 0 ↔ ¬AnalyticAt 𝕜 f z₀ ∨ f z₀ ≠ 0

Tactic:
← ENat.natCast_zero,

Goal state after:
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
hf : AnalyticAt 𝕜 f z₀
⊢ analyticOrderAt f z₀ = ↑0 ↔ ¬AnalyticAt 𝕜 f z₀ ∨ f z₀ ≠ 0
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
⊢ analyticOrderAt f z₀ = 0 ↔ ¬AnalyticAt 𝕜 f z₀ ∨ f z₀ ≠ 0

Tactic:
by_cases hf : AnalyticAt 𝕜 f z₀
  · rw [← ENat.natCast_zero, hf.analyticOrderAt_eq_natCast]
    constructor
    · intro ⟨g, _, _, hg⟩
      simpa [hf, hg.self_of_nhds]
    · exact fun hz ↦ ⟨f, hf, hz.resolve_left <| not_not_intro hf, by simp⟩
  · simp [hf]

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 : analyticOrderAt f z₀ ≠ 0
⊢ f z₀ = 0

Tactic:
by
  by_cases hf' : AnalyticAt 𝕜 f z₀ <;> simp_all [analyticOrderAt_eq_zero]

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

Goal state before:
pp: case hbc
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
D :
  ∀ (n : ℕ),
    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
n : ℕ
⊢ dist (f (u n)) y ≤ (↑c * ↑f'symm.nnnorm) ^ n * dist (f b) y

Tactic:
exact (D n).1

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

Goal state before:
pp: case coe.e_a
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
s : ℕ
hrne : s + 1 ≠ 0
F : 𝕜 → E
hFa : AnalyticAt 𝕜 F x
hFne : F x ≠ 0
hfF : ∀ᶠ (z : 𝕜) in 𝓝 x, f z = (z - x) ^ (s + 1) • F z + f x
U : Set 𝕜
hUf : ∀ y ∈ U, f y = (y - x) ^ (s + 1) • F y + f x ∧ AnalyticAt 𝕜 F y
hUo : IsOpen[PseudoMetricSpace.toUniformSpace.toTopologicalSpace] U
hUx : x ∈ U
this✝ : ∀ y ∈ U, deriv f y = (y - x) ^ (s + 1) • deriv F y + (s + 1) • (y - x) ^ s • F y
this : analyticOrderAt (fun y ↦ (s + 1) • (y - x) ^ s • F y) x = ↑s
⊢ ↑s + 1 ≤ analyticOrderAt (fun x_1 ↦ (x_1 - x) ^ (s + 1) • deriv F x_1) x

Tactic:
← Nat.cast_add_one,

Goal state after:
case coe.e_a
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
s : ℕ
hrne : s + 1 ≠ 0
F : 𝕜 → E
hFa : AnalyticAt 𝕜 F x
hFne : F x ≠ 0
hfF : ∀ᶠ (z : 𝕜) in 𝓝 x, f z = (z - x) ^ (s + 1) • F z + f x
U : Set 𝕜
hUf : ∀ y ∈ U, f y = (y - x) ^ (s + 1) • F y + f x ∧ AnalyticAt 𝕜 F y
hUo : IsOpen[PseudoMetricSpace.toUniformSpace.toTopologicalSpace] U
hUx : x ∈ U
this✝ : ∀ y ∈ U, deriv f y = (y - x) ^ (s + 1) • deriv F y + (s + 1) • (y - x) ^ s • F y
this : analyticOrderAt (fun y ↦ (s + 1) • (y - x) ^ s • F y) x = ↑s
⊢ ↑(s + 1) ≤ analyticOrderAt (fun x_1 ↦ (x_1 - x) ^ (s + 1) • deriv F x_1) x
Module: Mathlib.Analysis.Analytic.Order

Goal state before:
pp: case convert_2
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
f : 𝕜 → E
hf : AnalyticAt 𝕜 f 0
n : ℕ
this : AnalyticAt 𝕜 (fun z ↦ ∑ i ∈ Finset.range n, (z ^ i / ↑i.factorial) • iteratedDeriv i f 0) 0
⊢ ↑n ≤ analyticOrderAt (fun i ↦ f i - ∑ i_1 ∈ Finset.range n, (i ^ i_1 / ↑i_1.factorial) • iteratedDeriv i_1 f 0) 0

Tactic:
natCast_le_analyticOrderAt_iff_iteratedDeriv_eq_zero (hf.fun_sub this)

Goal state after:
case convert_2
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
f : 𝕜 → E
hf : AnalyticAt 𝕜 f 0
n : ℕ
this : AnalyticAt 𝕜 (fun z ↦ ∑ i ∈ Finset.range n, (z ^ i / ↑i.factorial) • iteratedDeriv i f 0) 0
⊢ ∀ i < n,
    iteratedDeriv i (fun i ↦ f i - ∑ i_1 ∈ Finset.range n, (i ^ i_1 / ↑i_1.factorial) • iteratedDeriv i_1 f 0) 0 = 0
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
hzero : f z₀ = 0
n : ℕ
⊢ (∀ i < n, iteratedDeriv i (deriv f) z₀ = 0) ↔ ↑n + 1 ≤ analyticOrderAt f z₀

Tactic:
← 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
f : 𝕜 → E
hf : AnalyticAt 𝕜 f z₀
hzero : f z₀ = 0
n : ℕ
⊢ (∀ i < n, iteratedDeriv i (deriv f) z₀ = 0) ↔ ↑(n + 1) ≤ analyticOrderAt f z₀
Module: Mathlib.Analysis.Meromorphic.Basic

Goal state before:
pp: case neg
𝕜 : Type u_1
𝕜' : Type u_2
inst✝² : NontriviallyNormedField 𝕜
inst✝¹ : NontriviallyNormedField 𝕜'
inst✝ : NormedAlgebra 𝕜 𝕜'
ι : Type u_5
F : ι → 𝕜 → 𝕜'
x : 𝕜
hf : ∀ (i : ι), MeromorphicAt (F i) x
h₂f : ¬Function.HasFiniteMulSupport F
⊢ MeromorphicAt (∏ᶠ (i : ι), F i) x

Tactic:
· exact finprod_of_not_hasFiniteMulSupport h₂f ▸ const (1 : 𝕜') x

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

Goal state before:
pp: case refine_1
𝕜 : Type u_1
inst✝³ : NontriviallyNormedField 𝕜
E : Type u_3
inst✝² : NormedAddCommGroup E
inst✝¹ : NormedSpace 𝕜 E
x : 𝕜
inst✝ : CompleteSpace E
f : 𝕜 → E
n : ℕ
h : ∀ᶠ (y : 𝕜) in 𝓝 x, AnalyticAt 𝕜 (fun z ↦ (z - x) ^ n • f z) y
⊢ 𝓝[≠] x ≤ 𝓝 x

Tactic:
simp [nhdsWithin]

Goal state after:
Module: Mathlib.Analysis.SpecialFunctions.Trigonometric.Deriv

Goal state before:
pp: n : ℕ
x : ℝ
⊢ |iteratedDeriv 0 sin x| ≤ 1

Tactic:
by simpa using Real.abs_sin_le_one x

Goal state after:
Module: Mathlib.Analysis.SpecialFunctions.Trigonometric.Deriv

Goal state before:
pp: n : ℕ
x : ℝ
⊢ |iteratedDeriv 1 cos x| ≤ 1

Tactic:
by simpa using Real.abs_sin_le_one x

Goal state after:
Module: Mathlib.RingTheory.Binomial

Goal state before:
pp: case neg
R : Type u_2
inst✝³ : NonAssocRing R
inst✝² : Pow R ℕ
inst✝¹ : NatPowAssoc R
inst✝ : BinomialRing R
k : ℕ
hk : ¬k = 0
⊢ choose 0 k = 0

Tactic:
choose_zero_pos R <| Nat.pos_of_ne_zero hk

Goal state after:
case neg
R : Type u_2
inst✝³ : NonAssocRing R
inst✝² : Pow R ℕ
inst✝¹ : NatPowAssoc R
inst✝ : BinomialRing R
k : ℕ
hk : ¬k = 0
⊢ 0 = 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
diff : DifferentiableOn ℝ f (Ioi x)
⊢ HasDerivWithinAt f (g x) (Ici x) x

Tactic:
apply
      hasDerivWithinAt_Ici_of_tendsto_deriv diff hf.continuousWithinAt
        self_mem_nhdsWithin

Goal state after:
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
diff : DifferentiableOn ℝ f (Ioi x)
⊢ Tendsto (fun x ↦ deriv f x) (𝓝[>] x) (𝓝 (g x))
Module: Mathlib.Analysis.SpecialFunctions.Pow.Deriv

Goal state before:
pp: c : ℂ
t : ℝ
ht : 0 < t
⊢ deriv (fun x ↦ ‖↑x ^ c‖) t = c.re * t ^ (c.re - 1)

Tactic:
EventuallyEq.deriv_eq (f := fun x ↦ x ^ c.re)

Goal state after:
c : ℂ
t : ℝ
ht : 0 < t
⊢ deriv (fun x ↦ x ^ c.re) t = c.re * t ^ (c.re - 1)

c : ℂ
t : ℝ
ht : 0 < t
⊢ (fun x ↦ ‖↑x ^ c‖) =ᶠ[𝓝 t] fun x ↦ x ^ c.re
Module: Mathlib.Topology.MetricSpace.Cover

Goal state before:
pp: X : Type u_1
Y : Type u_2
inst✝¹ : PseudoEMetricSpace X
inst✝ : PseudoEMetricSpace Y
ε : ℝ≥0
s : Set X
f : X → Y
hf : Isometry f
C : Set X
⊢ IsCover ε (f '' s) (f '' C) ↔ IsCover ε s C

Tactic:
refine ⟨fun h x hx ↦ ?_, fun h ↦ by simpa using h.image_lipschitz hf.lipschitz⟩

Goal state after:
X : Type u_1
Y : Type u_2
inst✝¹ : PseudoEMetricSpace X
inst✝ : PseudoEMetricSpace Y
ε : ℝ≥0
s : Set X
f : X → Y
hf : Isometry f
C : Set X
h : IsCover ε (f '' s) (f '' C)
x : X
hx : x ∈ s
⊢ ∃ y ∈ C, (x, y) ∈ {(x, y) | edist x y ≤ ↑ε}
Module: Mathlib.MeasureTheory.Covering.VitaliFamily

Goal state before:
pp: X : Type u_1
inst✝ : PseudoMetricSpace X
m0 : MeasurableSpace X
μ : Measure X
v : VitaliFamily μ
δ : ℝ
δpos : 0 < δ
x : X
ε : ℝ
⊢ ε > 0 → ∃ s ∈ v.setsAt x ∪ {s | MeasurableSet s ∧ (interior s).Nonempty ∧ ¬s ⊆ closedBall x δ}, s ⊆ closedBall x ε

Tactic:
εpos

Goal state after:
X : Type u_1
inst✝ : PseudoMetricSpace X
m0 : MeasurableSpace X
μ : Measure X
v : VitaliFamily μ
δ : ℝ
δpos : 0 < δ
x : X
ε : ℝ
εpos : ε > 0
⊢ ∃ s ∈ v.setsAt x ∪ {s | MeasurableSet s ∧ (interior s).Nonempty ∧ ¬s ⊆ closedBall x δ}, s ⊆ closedBall x ε
Module: Mathlib.MeasureTheory.Covering.VitaliFamily

Goal state before:
pp: 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
⊢ ε > 0 → ∃ t ∈ g x, t ⊆ closedBall x ε

Tactic:
εpos

Goal state after:
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 ∈ g x, t ⊆ closedBall x ε
Module: Mathlib.Analysis.Asymptotics.LinearGrowth

Goal state before:
pp: case pos
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 = ⊥
⊢ (linearGrowthInf fun n ↦ ↑(v n)) * linearGrowthSup u ≤ linearGrowthSup (u ∘ v)

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 = ⊥
⊢ (linearGrowthInf fun n ↦ ↑(v n)) * linearGrowthSup u ≤ linearGrowthSup (u ∘ v)

Tactic:
· rw [u_0, linearGrowthSup_bot, mul_bot_of_pos v_0]; exact bot_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 = ⊥
⊢ (linearGrowthInf fun n ↦ ↑(v n)) * linearGrowthSup u ≤ linearGrowthSup (u ∘ v)
Module: Mathlib.MeasureTheory.Integral.Average

Goal state before:
pp: α : Type u_1
m0 : MeasurableSpace α
μ : Measure α
inst✝ : IsFiniteMeasure μ
f : α → ℝ≥0∞
⊢ μ univ * ⨍⁻ (x : α), f x ∂μ = ∫⁻ (x : α), f x ∂μ

Tactic:
rcases eq_or_ne μ 0 with hμ | hμ

Goal state after:
case inl
α : Type u_1
m0 : MeasurableSpace α
μ : Measure α
inst✝ : IsFiniteMeasure μ
f : α → ℝ≥0∞
hμ : μ = 0
⊢ μ univ * ⨍⁻ (x : α), f x ∂μ = ∫⁻ (x : α), f x ∂μ

case inr
α : Type u_1
m0 : MeasurableSpace α
μ : Measure α
inst✝ : IsFiniteMeasure μ
f : α → ℝ≥0∞
hμ : μ ≠ 0
⊢ μ univ * ⨍⁻ (x : α), f x ∂μ = ∫⁻ (x : α), f x ∂μ
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 ⊆ t,
    (u.PairwiseDisjoint fun a ↦ closedBall (x a) (r a)) ∧
      ∀ a ∈ t, ∃ b ∈ u, closedBall (x a) (r a) ⊆ closedBall (x b) (τ * r b)

Tactic:
rcases exists_disjoint_subfamily_covering_enlargement (fun a => closedBall (x a) (r a)) t' r
      ((τ - 1) / 2) (by linarith) (fun a ha => ha.2) R (fun a ha => hr a ha.1) fun a ha =>
      ⟨x a, mem_closedBall_self ha.2⟩ with
    ⟨u, ut', u_disj, hu⟩

Goal state after:
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
⊢ ∃ u ⊆ t,
    (u.PairwiseDisjoint fun a ↦ closedBall (x a) (r a)) ∧
      ∀ a ∈ t, ∃ b ∈ u, closedBall (x a) (r a) ⊆ closedBall (x b) (τ * r b)
Module: Mathlib.MeasureTheory.Integral.Average

Goal state before:
pp: case pos
α : Type u_1
m0 : MeasurableSpace α
μ ν : Measure α
f : α → ℝ≥0∞
hμ : IsFiniteMeasure μ
⊢ ⨍⁻ (x : α), f x ∂(μ + ν) =
    μ univ / (μ univ + ν univ) * ⨍⁻ (x : α), f x ∂μ + ν univ / (μ univ + ν univ) * ⨍⁻ (x : α), f x ∂ν

Tactic:
by_cases hν : IsFiniteMeasure ν

Goal state after:
case pos
α : Type u_1
m0 : MeasurableSpace α
μ ν : Measure α
f : α → ℝ≥0∞
hμ : IsFiniteMeasure μ
hν : IsFiniteMeasure ν
⊢ ⨍⁻ (x : α), f x ∂(μ + ν) =
    μ univ / (μ univ + ν univ) * ⨍⁻ (x : α), f x ∂μ + ν univ / (μ univ + ν univ) * ⨍⁻ (x : α), f x ∂ν

case neg
α : Type u_1
m0 : MeasurableSpace α
μ ν : Measure α
f : α → ℝ≥0∞
hμ : IsFiniteMeasure μ
hν : ¬IsFiniteMeasure ν
⊢ ⨍⁻ (x : α), f x ∂(μ + ν) =
    μ univ / (μ univ + ν univ) * ⨍⁻ (x : α), f x ∂μ + ν univ / (μ univ + ν univ) * ⨍⁻ (x : α), f x ∂ν
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
h : ∀ (s : Set α), MeasurableSet s → μ s < ∞ → ∫⁻ (x : α) in s, f x ∂μ ≤ ∫⁻ (x : α) in s, g x ∂μ
ε N : ℝ≥0
p : ℕ
⊢ 0 < ε → μ ({x | g x + ↑ε ≤ f x ∧ g x ≤ ↑N} ∩ spanningSets μ p) = 0

Tactic:
εpos

Goal state after:
α : Type u_1
m0 : MeasurableSpace α
μ : Measure α
inst✝ : SigmaFinite μ
f g : α → ℝ≥0∞
hf : AEMeasurable f μ
h : ∀ (s : Set α), MeasurableSet s → μ s < ∞ → ∫⁻ (x : α) in s, f x ∂μ ≤ ∫⁻ (x : α) in s, g x ∂μ
ε N : ℝ≥0
p : ℕ
εpos : 0 < ε
⊢ μ ({x | g x + ↑ε ≤ f x ∧ g x ≤ ↑N} ∩ spanningSets μ p) = 0
Module: Mathlib.MeasureTheory.Integral.Average

Goal state before:
pp: case pos
α : Type u_1
m0 : MeasurableSpace α
μ : Measure α
s t : Set α
f : α → ℝ≥0∞
hd : AEDisjoint μ s t
ht : NullMeasurableSet t μ
hsμ : μ s ≠ ∞
htμ : μ t ≠ ∞
hs₀ : μ s = 0
⊢ ⨍⁻ (x : α) in s ∪ t, f x ∂μ ∈ [⨍⁻ (x : α) in s, f x ∂μ -[ℝ≥0∞] ⨍⁻ (x : α) in t, f x ∂μ]

Tactic:
← ae_eq_empty

Goal state after:
case pos
α : Type u_1
m0 : MeasurableSpace α
μ : Measure α
s t : Set α
f : α → ℝ≥0∞
hd : AEDisjoint μ s t
ht : NullMeasurableSet t μ
hsμ : μ s ≠ ∞
htμ : μ t ≠ ∞
hs₀ : s =ᵐ[μ] ∅
⊢ ⨍⁻ (x : α) in s ∪ t, f x ∂μ ∈ [⨍⁻ (x : α) in s, f x ∂μ -[ℝ≥0∞] ⨍⁻ (x : α) in t, f x ∂μ]
Module: Mathlib.MeasureTheory.Integral.Average

Goal state before:
pp: α : Type u_1
E : Type u_2
m0 : MeasurableSpace α
inst✝² : NormedAddCommGroup E
inst✝¹ : NormedSpace ℝ E
μ : Measure α
inst✝ : IsFiniteMeasure μ
f : α → E
⊢ μ.real univ • ⨍ (x : α), f x ∂μ = ∫ (x : α), f x ∂μ

Tactic:
rcases eq_or_ne μ 0 with hμ | hμ

Goal state after:
case inl
α : Type u_1
E : Type u_2
m0 : MeasurableSpace α
inst✝² : NormedAddCommGroup E
inst✝¹ : NormedSpace ℝ E
μ : Measure α
inst✝ : IsFiniteMeasure μ
f : α → E
hμ : μ = 0
⊢ μ.real univ • ⨍ (x : α), f x ∂μ = ∫ (x : α), f x ∂μ

case inr
α : Type u_1
E : Type u_2
m0 : MeasurableSpace α
inst✝² : NormedAddCommGroup E
inst✝¹ : NormedSpace ℝ E
μ : Measure α
inst✝ : IsFiniteMeasure μ
f : α → E
hμ : μ ≠ 0
⊢ μ.real univ • ⨍ (x : α), f x ∂μ = ∫ (x : α), f x ∂μ
Module: Mathlib.MeasureTheory.Integral.Average

Goal state before:
pp: α : Type u_1
E : Type u_2
m0 : MeasurableSpace α
inst✝¹ : NormedAddCommGroup E
inst✝ : NormedSpace ℝ E
μ : Measure α
f : α → E
s t : Set α
hd : AEDisjoint μ s t
ht : NullMeasurableSet t μ
hs₀ : μ s ≠ 0
ht₀ : μ t ≠ 0
hsμ : μ s ≠ ∞
htμ : μ t ≠ ∞
hfs : IntegrableOn f s μ
hft : IntegrableOn f t μ
⊢ ⨍ (x : α) in s ∪ t, f x ∂μ ∈ openSegment ℝ (⨍ (x : α) in s, f x ∂μ) (⨍ (x : α) in t, f x ∂μ)

Tactic:
replace hs₀ : 0 < μ.real s := ENNReal.toReal_pos hs₀ hsμ

Goal state after:
α : Type u_1
E : Type u_2
m0 : MeasurableSpace α
inst✝¹ : NormedAddCommGroup E
inst✝ : NormedSpace ℝ E
μ : Measure α
f : α → E
s t : Set α
hd : AEDisjoint μ s t
ht : NullMeasurableSet t μ
ht₀ : μ t ≠ 0
hsμ : μ s ≠ ∞
htμ : μ t ≠ ∞
hfs : IntegrableOn f s μ
hft : IntegrableOn f t μ
hs₀ : 0 < μ.real s
⊢ ⨍ (x : α) in s ∪ t, f x ∂μ ∈ openSegment ℝ (⨍ (x : α) in s, f x ∂μ) (⨍ (x : α) in t, f x ∂μ)
Module: Mathlib.MeasureTheory.Integral.Average

Goal state before:
pp: case pos
α : Type u_1
E : Type u_2
m0 : MeasurableSpace α
inst✝¹ : NormedAddCommGroup E
inst✝ : NormedSpace ℝ E
μ : Measure α
f : α → E
s t : Set α
hd : AEDisjoint μ s t
ht : NullMeasurableSet t μ
hsμ : μ s ≠ ∞
htμ : μ t ≠ ∞
hfs : IntegrableOn f s μ
hft : IntegrableOn f t μ
hse : μ s = 0
⊢ ⨍ (x : α) in s ∪ t, f x ∂μ ∈ [⨍ (x : α) in s, f x ∂μ -[ℝ] ⨍ (x : α) in t, f x ∂μ]

Tactic:
← ae_eq_empty

Goal state after:
case pos
α : Type u_1
E : Type u_2
m0 : MeasurableSpace α
inst✝¹ : NormedAddCommGroup E
inst✝ : NormedSpace ℝ E
μ : Measure α
f : α → E
s t : Set α
hd : AEDisjoint μ s t
ht : NullMeasurableSet t μ
hsμ : μ s ≠ ∞
htμ : μ t ≠ ∞
hfs : IntegrableOn f s μ
hft : IntegrableOn f t μ
hse : s =ᵐ[μ] ∅
⊢ ⨍ (x : α) in s ∪ t, f x ∂μ ∈ [⨍ (x : α) in s, f x ∂μ -[ℝ] ⨍ (x : α) in t, f x ∂μ]