mathlib-initiative/mathlib-tactics huggingface dataset:
Module: Mathlib.Analysis.BoundedVariation

Goal state before:
pp: α : Type u_2
inst✝⁶ : LinearOrder α
E : Type u_3
F : Type u_4
G : Type u_5
inst✝⁵ : NormedAddCommGroup E
inst✝⁴ : NormedSpace ℝ E
inst✝³ : NormedAddCommGroup F
inst✝² : NormedSpace ℝ F
inst✝¹ : NormedAddCommGroup G
inst✝ : NormedSpace ℝ G
s : Set α
f : α → E
g : α → F
C D : ℝ≥0∞
hf : ∀ x ∈ s, ‖f x‖ₑ ≤ C
hg : ∀ x ∈ s, ‖g x‖ₑ ≤ D
B : E →L[ℝ] F →L[ℝ] G
n : ℕ
u : ℕ → α
u_mono : Monotone u
u_mem : ∀ (i : ℕ), u i ∈ s
⊢ ‖B‖ₑ * D * ∑ x ∈ Finset.range n, edist (f (u (x + 1))) (f (u x)) +
      ‖B‖ₑ * C * ∑ x ∈ Finset.range n, edist (g (u (x + 1))) (g (u x)) ≤
    ‖B‖ₑ * D * eVariationOn f s + ‖B‖ₑ * C * eVariationOn g s

Tactic:
gcongr

Goal state after:
case h₂
α : Type u_2
inst✝⁶ : LinearOrder α
E : Type u_3
F : Type u_4
G : Type u_5
inst✝⁵ : NormedAddCommGroup E
inst✝⁴ : NormedSpace ℝ E
inst✝³ : NormedAddCommGroup F
inst✝² : NormedSpace ℝ F
inst✝¹ : NormedAddCommGroup G
inst✝ : NormedSpace ℝ G
s : Set α
f : α → E
g : α → F
C D : ℝ≥0∞
hf : ∀ x ∈ s, ‖f x‖ₑ ≤ C
hg : ∀ x ∈ s, ‖g x‖ₑ ≤ D
B : E →L[ℝ] F →L[ℝ] G
n : ℕ
u : ℕ → α
u_mono : Monotone u
u_mem : ∀ (i : ℕ), u i ∈ s
⊢ ∑ x ∈ Finset.range n, edist (f (u (x + 1))) (f (u x)) ≤ eVariationOn f s

case h₂
α : Type u_2
inst✝⁶ : LinearOrder α
E : Type u_3
F : Type u_4
G : Type u_5
inst✝⁵ : NormedAddCommGroup E
inst✝⁴ : NormedSpace ℝ E
inst✝³ : NormedAddCommGroup F
inst✝² : NormedSpace ℝ F
inst✝¹ : NormedAddCommGroup G
inst✝ : NormedSpace ℝ G
s : Set α
f : α → E
g : α → F
C D : ℝ≥0∞
hf : ∀ x ∈ s, ‖f x‖ₑ ≤ C
hg : ∀ x ∈ s, ‖g x‖ₑ ≤ D
B : E →L[ℝ] F →L[ℝ] G
n : ℕ
u : ℕ → α
u_mono : Monotone u
u_mem : ∀ (i : ℕ), u i ∈ s
⊢ ∑ x ∈ Finset.range n, edist (g (u (x + 1))) (g (u x)) ≤ eVariationOn g s
Module: Mathlib.Analysis.BoundedVariation

Goal state before:
pp: α : Type u_2
inst✝⁶ : LinearOrder α
E : Type u_3
F : Type u_4
G : Type u_5
inst✝⁵ : NormedAddCommGroup E
inst✝⁴ : NormedSpace ℝ E
inst✝³ : NormedAddCommGroup F
inst✝² : NormedSpace ℝ F
inst✝¹ : NormedAddCommGroup G
inst✝ : NormedSpace ℝ G
s : Set α
f : α → E
g : α → F
C D : ℝ≥0∞
hf : ∀ x ∈ s, ‖f x‖ₑ ≤ C
hg : ∀ x ∈ s, ‖g x‖ₑ ≤ D
B : E →L[ℝ] F →L[ℝ] G
⊢ eVariationOn (fun x ↦ (B (f x)) (g x)) s ≤ ‖B‖ₑ * (C * eVariationOn g s + D * eVariationOn f s)

Tactic:
by
  apply iSup_le
  rintro ⟨n, ⟨u, u_mono, u_mem⟩⟩
  calc ∑ i ∈ range n, edist (B (f (u (i + 1))) (g (u (i + 1)))) (B (f (u i)) (g (u i)))
  _ ≤ ∑ i ∈ range n, edist (B (f (u (i + 1))) (g (u (i + 1)))) (B (f (u i)) (g (u (i + 1)))) +
      ∑ i ∈ range n, edist (B (f (u i)) (g (u (i + 1)))) (B (f (u i)) (g (u i))) := by
    rw [← Finset.sum_add_distrib]
    gcongr with i hi
    apply edist_triangle
  _ = ∑ i ∈ range n, ‖B (f (u (i + 1)) - f (u i)) (g (u (i + 1)))‖ₑ +
      ∑ i ∈ range n, ‖B (f (u i)) (g (u (i + 1)) - g (u i))‖ₑ := by simp [edist_eq_enorm_sub]
  _ ≤ ∑ i ∈ range n, ‖B‖ₑ * ‖f (u (i + 1)) - f (u i)‖ₑ * ‖g (u (i + 1))‖ₑ +
      ∑ i ∈ range n, ‖B‖ₑ * ‖f (u i)‖ₑ * ‖g (u (i + 1)) - g (u i)‖ₑ := by
    gcongr with i hi i hi
    · apply ContinuousLinearMap.le_opENorm₂
    · apply ContinuousLinearMap.le_opENorm₂
  _ ≤ ∑ i ∈ range n, ‖B‖ₑ * ‖f (u (i + 1)) - f (u i)‖ₑ * D +
      ∑ i ∈ range n, ‖B‖ₑ * C * ‖g (u (i + 1)) - g (u i)‖ₑ := by
    gcongr with i hi i hi
    · apply hg _ (u_mem _)
    · apply hf _ (u_mem _)
  _ = ‖B‖ₑ * D * ∑ i ∈ range n, ‖f (u (i + 1)) - f (u i)‖ₑ +
      ‖B‖ₑ * C * ∑ i ∈ range n, ‖g (u (i + 1)) - g (u i)‖ₑ := by
    simp only [← sum_mul, ← mul_sum]
    ring
  _ ≤ ‖B‖ₑ * D * eVariationOn f s + ‖B‖ₑ * C * eVariationOn g s := by
    simp only [← edist_eq_enorm_sub]
    gcongr
    · exact eVariationOn.sum_le_of_monotoneOn_Iic (u_mono.monotoneOn _) (fun i hi ↦ u_mem i)
    · exact eVariationOn.sum_le_of_monotoneOn_Iic (u_mono.monotoneOn _) (fun i hi ↦ u_mem i)
  _ = ‖B‖ₑ * (C * eVariationOn g s + D * eVariationOn f s) := by ring

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

Goal state before:
pp: 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)
⊢ ↑t ^ 2 * (↑t ^ (n - 1) * μ (s ∩ f ⁻¹' I)) ≤ ↑t ^ 2 * ρ (s ∩ f ⁻¹' I)

Tactic:
gcongr

Goal state after:
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
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)
⊢ ↑t ^ (n - 1) * μ (s ∩ f ⁻¹' I) ≤ ρ (s ∩ f ⁻¹' I)
Module: Mathlib.MeasureTheory.Covering.Differentiation

Goal state before:
pp: 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 ^ n * t ^ (-1) < t ^ n * 1

Tactic:
gcongr

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 := ⋯
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
Module: Mathlib.Topology.EMetricSpace.BoundedVariation

Goal state before:
pp: α : Type u_1
inst✝¹ : LinearOrder α
E : Type u_2
inst✝ : PseudoEMetricSpace E
f : α → E
s t : Set α
h : ∀ x ∈ s, ∀ y ∈ t, x ≤ y
hs : ¬s = ∅
this✝ : Nonempty { u // Monotone u ∧ ∀ (i : ℕ), u i ∈ s }
ht : ¬t = ∅
this : Nonempty { u // Monotone u ∧ ∀ (i : ℕ), u i ∈ t }
n : ℕ
u : ℕ → α
hu : Monotone u
us : ∀ (i : ℕ), u i ∈ s
m : ℕ
v : ℕ → α
hv : Monotone v
vt : ∀ (i : ℕ), v i ∈ t
w : ℕ → α := fun i ↦ if i ≤ n then u i else v (i - (n + 1))
⊢ ∑ x ∈ Finset.range n ∪ Finset.Ico (n + 1) (n + 1 + m), edist (f (w (x + 1))) (f (w x)) ≤
    ∑ i ∈ Finset.range (n + 1 + m), edist (f (w (i + 1))) (f (w i))

Tactic:
gcongr

Goal state after:
case h
α : Type u_1
inst✝¹ : LinearOrder α
E : Type u_2
inst✝ : PseudoEMetricSpace E
f : α → E
s t : Set α
h : ∀ x ∈ s, ∀ y ∈ t, x ≤ y
hs : ¬s = ∅
this✝ : Nonempty { u // Monotone u ∧ ∀ (i : ℕ), u i ∈ s }
ht : ¬t = ∅
this : Nonempty { u // Monotone u ∧ ∀ (i : ℕ), u i ∈ t }
n : ℕ
u : ℕ → α
hu : Monotone u
us : ∀ (i : ℕ), u i ∈ s
m : ℕ
v : ℕ → α
hv : Monotone v
vt : ∀ (i : ℕ), v i ∈ t
w : ℕ → α := ⋯
⊢ Finset.range n ∪ Finset.Ico (n + 1) (n + 1 + m) ⊆ Finset.range (n + 1 + m)
Module: Mathlib.Topology.EMetricSpace.BoundedVariation

Goal state before:
pp: case e'_2.a
α : Type u_1
inst✝¹ : LinearOrder α
E : Type u_2
inst✝ : PseudoEMetricSpace E
f : α → E
I : ℕ → α
hI : Monotone I
n i : ℕ
hi : i ∈ Finset.range n
⊢ Icc (I i) (I (i + 1)) ⊆ Icc (I 0) (I n)

Tactic:
gcongr

Goal state after:
case ha
α : Type u_1
inst✝¹ : LinearOrder α
E : Type u_2
inst✝ : PseudoEMetricSpace E
f : α → E
I : ℕ → α
hI : Monotone I
n i : ℕ
hi : i ∈ Finset.range n
⊢ I 0 ≤ I i

case hb
α : Type u_1
inst✝¹ : LinearOrder α
E : Type u_2
inst✝ : PseudoEMetricSpace E
f : α → E
I : ℕ → α
hI : Monotone I
n i : ℕ
hi : i ∈ Finset.range n
⊢ I (i + 1) ≤ I n
Module: Mathlib.Topology.EMetricSpace.BoundedVariation

Goal state before:
pp: α : Type u_1
inst✝³ : LinearOrder α
E : Type u_2
inst✝² : PseudoEMetricSpace E
inst✝¹ : TopologicalSpace α
inst✝ : OrderTopology α
f : α → E
s : Set α
a : α
l : E
h : (𝓝[s ∩ Iio a] a).NeBot
ha : a ∈ s
h'f : Tendsto f (𝓝[s ∩ Iio a] a) (𝓝 l)
u : ℕ → α
n : ℕ
u_mono : StrictMonoOn u (Iic (n + 1))
u_mem : ∀ i ∈ Iic (n + 1), u i ∈ s ∩ Iic a
this✝¹ : u (n + 1) ≤ a
hn : u (n + 1) = a
this✝ :
  Tendsto (fun y ↦ eVariationOn f (s ∩ Iio a) + edist (f a) (f y)) (𝓝[s ∩ Iio a] a)
    (𝓝 (eVariationOn f (s ∩ Iio a) + edist (f a) l))
this : s ∩ Ioo (u n) a ∈ 𝓝[s ∩ Iio a] a
y : α
hy : y ∈ s ∩ Ioo (u n) a
v : ℕ → α := fun i ↦ if i ≤ n then u i else if i = n + 1 then y else a
A :
  ∑ i ∈ Finset.range (n + 1), edist (f (u (i + 1))) (f (u i)) ≤
    ∑ i ∈ Finset.range (n + 2), edist (f (v (i + 1))) (f (v i))
⊢ ∑ x ∈ Finset.range (n + 1), edist (f (v (x + 1))) (f (v x)) + edist (f (v (n + 1 + 1))) (f (v (n + 1))) ≤
    eVariationOn f (s ∩ Iio a) + edist (f a) (f y)

Tactic:
gcongr

Goal state after:
case h₁
α : Type u_1
inst✝³ : LinearOrder α
E : Type u_2
inst✝² : PseudoEMetricSpace E
inst✝¹ : TopologicalSpace α
inst✝ : OrderTopology α
f : α → E
s : Set α
a : α
l : E
h : (𝓝[s ∩ Iio a] a).NeBot
ha : a ∈ s
h'f : Tendsto f (𝓝[s ∩ Iio a] a) (𝓝 l)
u : ℕ → α
n : ℕ
u_mono : StrictMonoOn u (Iic (n + 1))
u_mem : ∀ i ∈ Iic (n + 1), u i ∈ s ∩ Iic a
this✝¹ : u (n + 1) ≤ a
hn : u (n + 1) = a
this✝ :
  Tendsto (fun y ↦ eVariationOn f (s ∩ Iio a) + edist (f a) (f y)) (𝓝[s ∩ Iio a] a)
    (𝓝 (eVariationOn f (s ∩ Iio a) + edist (f a) l))
this : s ∩ Ioo (u n) a ∈ 𝓝[s ∩ Iio a] a
y : α
hy : y ∈ s ∩ Ioo (u n) a
v : ℕ → α := ⋯
A :
  ∑ i ∈ Finset.range (n + 1), edist (f (u (i + 1))) (f (u i)) ≤
    ∑ i ∈ Finset.range (n + 2), edist (f (v (i + 1))) (f (v i))
⊢ ∑ x ∈ Finset.range (n + 1), edist (f (v (x + 1))) (f (v x)) ≤ eVariationOn f (s ∩ Iio a)

case h₂
α : Type u_1
inst✝³ : LinearOrder α
E : Type u_2
inst✝² : PseudoEMetricSpace E
inst✝¹ : TopologicalSpace α
inst✝ : OrderTopology α
f : α → E
s : Set α
a : α
l : E
h : (𝓝[s ∩ Iio a] a).NeBot
ha : a ∈ s
h'f : Tendsto f (𝓝[s ∩ Iio a] a) (𝓝 l)
u : ℕ → α
n : ℕ
u_mono : StrictMonoOn u (Iic (n + 1))
u_mem : ∀ i ∈ Iic (n + 1), u i ∈ s ∩ Iic a
this✝¹ : u (n + 1) ≤ a
hn : u (n + 1) = a
this✝ :
  Tendsto (fun y ↦ eVariationOn f (s ∩ Iio a) + edist (f a) (f y)) (𝓝[s ∩ Iio a] a)
    (𝓝 (eVariationOn f (s ∩ Iio a) + edist (f a) l))
this : s ∩ Ioo (u n) a ∈ 𝓝[s ∩ Iio a] a
y : α
hy : y ∈ s ∩ Ioo (u n) a
v : ℕ → α := ⋯
A :
  ∑ i ∈ Finset.range (n + 1), edist (f (u (i + 1))) (f (u i)) ≤
    ∑ i ∈ Finset.range (n + 2), edist (f (v (i + 1))) (f (v i))
⊢ edist (f (v (n + 1 + 1))) (f (v (n + 1))) ≤ edist (f a) (f y)
Module: Mathlib.MeasureTheory.Covering.Differentiation

Goal state before:
pp: α : Type u_1
inst✝⁴ : PseudoMetricSpace α
m0 : MeasurableSpace α
μ : Measure α
v : VitaliFamily μ
E : Type u_2
inst✝³ : NormedAddCommGroup E
inst✝² : SecondCountableTopology α
inst✝¹ : BorelSpace α
inst✝ : IsLocallyFiniteMeasure μ
f : α → E
hf : Integrable f μ
h'f : StronglyMeasurable f
A : μ.FiniteSpanningSetsIn {K | IsOpen[PseudoMetricSpace.toUniformSpace.toTopologicalSpace] K} :=
  μ.finiteSpanningSetsInOpen'
t : Set E
t_count : t.Countable
ht : range f ⊆ closure[PseudoMetricSpace.toUniformSpace.toTopologicalSpace] t
main :
  ∀ᵐ (x : α) ∂μ,
    ∀ (n : ℕ),
      ∀ c ∈ t,
        Tendsto (fun a ↦ (∫⁻ (y : α) in a, ‖f y - (A.set n).indicator (fun x ↦ c) y‖ₑ ∂μ) / μ a) (v.filterAt x)
          (𝓝 ‖f x - (A.set n).indicator (fun x ↦ c) x‖ₑ)
x : α
hx :
  ∀ (n : ℕ),
    ∀ c ∈ t,
      Tendsto (fun a ↦ (∫⁻ (y : α) in a, ‖f y - (A.set n).indicator (fun x ↦ c) y‖ₑ ∂μ) / μ a) (v.filterAt x)
        (𝓝 ‖f x - (A.set n).indicator (fun x ↦ c) x‖ₑ)
h'x : ∀ᶠ (a : Set α) in v.filterAt x, 0 < μ a
M : ∀ c ∈ t, Tendsto (fun a ↦ (∫⁻ (y : α) in a, ‖f y - c‖ₑ ∂μ) / μ a) (v.filterAt x) (𝓝 ‖f x - c‖ₑ)
ε : ℝ≥0∞
εpos : ε > 0
c : E
ct : c ∈ t
xc : ‖f x - c‖ₑ < ε / 2
a : Set α
ha : (∫⁻ (y : α) in a, ‖f y - c‖ₑ ∂μ) / μ a < ε / 2
h'a : 0 < μ a
⊢ μ a < ∞ → (∫⁻ (y : α) in a, ‖f y - f x‖ₑ ∂μ) / μ a ≤ ε

Tactic:
h''a

Goal state after:
α : Type u_1
inst✝⁴ : PseudoMetricSpace α
m0 : MeasurableSpace α
μ : Measure α
v : VitaliFamily μ
E : Type u_2
inst✝³ : NormedAddCommGroup E
inst✝² : SecondCountableTopology α
inst✝¹ : BorelSpace α
inst✝ : IsLocallyFiniteMeasure μ
f : α → E
hf : Integrable f μ
h'f : StronglyMeasurable f
A : μ.FiniteSpanningSetsIn {K | IsOpen[PseudoMetricSpace.toUniformSpace.toTopologicalSpace] K} :=
  μ.finiteSpanningSetsInOpen'
t : Set E
t_count : t.Countable
ht : range f ⊆ closure[PseudoMetricSpace.toUniformSpace.toTopologicalSpace] t
main :
  ∀ᵐ (x : α) ∂μ,
    ∀ (n : ℕ),
      ∀ c ∈ t,
        Tendsto (fun a ↦ (∫⁻ (y : α) in a, ‖f y - (A.set n).indicator (fun x ↦ c) y‖ₑ ∂μ) / μ a) (v.filterAt x)
          (𝓝 ‖f x - (A.set n).indicator (fun x ↦ c) x‖ₑ)
x : α
hx :
  ∀ (n : ℕ),
    ∀ c ∈ t,
      Tendsto (fun a ↦ (∫⁻ (y : α) in a, ‖f y - (A.set n).indicator (fun x ↦ c) y‖ₑ ∂μ) / μ a) (v.filterAt x)
        (𝓝 ‖f x - (A.set n).indicator (fun x ↦ c) x‖ₑ)
h'x : ∀ᶠ (a : Set α) in v.filterAt x, 0 < μ a
M : ∀ c ∈ t, Tendsto (fun a ↦ (∫⁻ (y : α) in a, ‖f y - c‖ₑ ∂μ) / μ a) (v.filterAt x) (𝓝 ‖f x - c‖ₑ)
ε : ℝ≥0∞
εpos : ε > 0
c : E
ct : c ∈ t
xc : ‖f x - c‖ₑ < ε / 2
a : Set α
ha : (∫⁻ (y : α) in a, ‖f y - c‖ₑ ∂μ) / μ a < ε / 2
h'a : 0 < μ a
h''a : μ a < ∞
⊢ (∫⁻ (y : α) in a, ‖f y - f x‖ₑ ∂μ) / μ a ≤ ε
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
E : Type u_2
inst✝³ : NormedAddCommGroup E
inst✝² : SecondCountableTopology α
inst✝¹ : BorelSpace α
inst✝ : IsLocallyFiniteMeasure μ
f : α → E
hf : Integrable f μ
h'f : StronglyMeasurable f
A : μ.FiniteSpanningSetsIn {K | IsOpen[PseudoMetricSpace.toUniformSpace.toTopologicalSpace] K} :=
  μ.finiteSpanningSetsInOpen'
t : Set E
t_count : t.Countable
ht : range f ⊆ closure[PseudoMetricSpace.toUniformSpace.toTopologicalSpace] t
main :
  ∀ᵐ (x : α) ∂μ,
    ∀ (n : ℕ),
      ∀ c ∈ t,
        Tendsto (fun a ↦ (∫⁻ (y : α) in a, ‖f y - (A.set n).indicator (fun x ↦ c) y‖ₑ ∂μ) / μ a) (v.filterAt x)
          (𝓝 ‖f x - (A.set n).indicator (fun x ↦ c) x‖ₑ)
x : α
hx :
  ∀ (n : ℕ),
    ∀ c ∈ t,
      Tendsto (fun a ↦ (∫⁻ (y : α) in a, ‖f y - (A.set n).indicator (fun x ↦ c) y‖ₑ ∂μ) / μ a) (v.filterAt x)
        (𝓝 ‖f x - (A.set n).indicator (fun x ↦ c) x‖ₑ)
h'x : ∀ᶠ (a : Set α) in v.filterAt x, 0 < μ a
M : ∀ c ∈ t, Tendsto (fun a ↦ (∫⁻ (y : α) in a, ‖f y - c‖ₑ ∂μ) / μ a) (v.filterAt x) (𝓝 ‖f x - c‖ₑ)
ε : ℝ≥0∞
εpos : ε > 0
c : E
ct : c ∈ t
xc : ‖f x - c‖ₑ < ε / 2
a : Set α
ha : (∫⁻ (y : α) in a, ‖f y - c‖ₑ ∂μ) / μ a < ε / 2
h'a : 0 < μ a
h''a : μ a < ∞
⊢ ‖f x - c‖ₑ * μ a ≤ ε / 2 * μ a

Tactic:
gcongr

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

Goal state before:
pp: α : Type u_1
inst✝⁴ : PseudoMetricSpace α
m0 : MeasurableSpace α
μ : Measure α
v : VitaliFamily μ
E : Type u_2
inst✝³ : NormedAddCommGroup E
inst✝² : SecondCountableTopology α
inst✝¹ : BorelSpace α
inst✝ : IsLocallyFiniteMeasure μ
f : α → E
hf : LocallyIntegrable f μ
⊢ ∀ᵐ (x : α) ∂μ, Tendsto (fun a ↦ (∫⁻ (y : α) in a, ‖f y - f x‖ₑ ∂μ) / μ a) (v.filterAt x) (𝓝 0)

Tactic:
rcases hf.exists_nat_integrableOn with ⟨u, u_open, u_univ, hu⟩
  have : ∀ n, ∀ᵐ x ∂μ,
      Tendsto (fun a => (∫⁻ y in a, ‖(u n).indicator f y - (u n).indicator f x‖ₑ ∂μ) / μ a)
      (v.filterAt x) (𝓝 0) := by
    intro n
    apply ae_tendsto_lintegral_enorm_sub_div_of_integrable
    exact (integrable_indicator_iff (u_open n).measurableSet).2 (hu n)
  filter_upwards [ae_all_iff.2 this] with x hx
  obtain ⟨n, hn⟩ : ∃ n, x ∈ u n := by simpa only [← u_univ, mem_iUnion] using mem_univ x
  apply Tendsto.congr' _ (hx n)
  filter_upwards [v.eventually_filterAt_subset_of_nhds ((u_open n).mem_nhds hn),
    v.eventually_filterAt_measurableSet x] with a ha h'a
  congr 1
  refine setLIntegral_congr_fun h'a (fun y hy ↦ ?_)
  rw [indicator_of_mem (ha hy) f, indicator_of_mem hn f]

Goal state after:
Module: Mathlib.Analysis.CStarAlgebra.ContinuousFunctionalCalculus.Unital

Goal state before:
pp: case neg.inr
R : Type u_1
A : Type u_2
p : A → Prop
inst✝⁸ : CommSemiring R
inst✝⁷ : StarRing R
inst✝⁶ : MetricSpace R
inst✝⁵ : IsTopologicalSemiring R
inst✝⁴ : ContinuousStar R
inst✝³ : TopologicalSpace A
inst✝² : Ring A
inst✝¹ : StarRing A
inst✝ : Algebra R A
instCFC : ContinuousFunctionalCalculus R A p
f g : R → R
a : A
hfg : Set.EqOn f g (spectrum R a)
h : ¬(p a ∧ ContinuousOn g (spectrum R a))
hg : ¬ContinuousOn g (spectrum R a)
⊢ cfc f a = cfc g a

Tactic:
· rw [cfc_apply_of_not_continuousOn a hg, cfc_apply_of_not_continuousOn]
      exact fun hf ↦ hg (hf.congr hfg.symm)

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

Goal state before:
pp: α : Type u_1
inst✝⁴ : PseudoMetricSpace α
m0 : MeasurableSpace α
μ : Measure α
v : VitaliFamily μ
E : Type u_2
inst✝³ : NormedAddCommGroup E
inst✝² : SecondCountableTopology α
inst✝¹ : BorelSpace α
inst✝ : IsLocallyFiniteMeasure μ
f : α → E
hf : LocallyIntegrable f μ
x : α
hx : Tendsto (fun a ↦ (∫⁻ (y : α) in a, ‖f y - f x‖ₑ ∂μ) / μ a) (v.filterAt x) (𝓝 0)
this : Tendsto (ENNReal.toReal ∘ fun a ↦ (∫⁻ (y : α) in a, ‖f y - f x‖ₑ ∂μ) / μ a) (v.filterAt x) (𝓝 0)
a : Set α
h'a : μ a < ∞
⊢ IntegrableOn f a μ →
    (ENNReal.toReal ∘ fun a ↦ (∫⁻ (y : α) in a, ‖f y - f x‖ₑ ∂μ) / μ a) a = ⨍ (y : α) in a, ‖f y - f x‖ ∂μ

Tactic:
h''a

Goal state after:
α : Type u_1
inst✝⁴ : PseudoMetricSpace α
m0 : MeasurableSpace α
μ : Measure α
v : VitaliFamily μ
E : Type u_2
inst✝³ : NormedAddCommGroup E
inst✝² : SecondCountableTopology α
inst✝¹ : BorelSpace α
inst✝ : IsLocallyFiniteMeasure μ
f : α → E
hf : LocallyIntegrable f μ
x : α
hx : Tendsto (fun a ↦ (∫⁻ (y : α) in a, ‖f y - f x‖ₑ ∂μ) / μ a) (v.filterAt x) (𝓝 0)
this : Tendsto (ENNReal.toReal ∘ fun a ↦ (∫⁻ (y : α) in a, ‖f y - f x‖ₑ ∂μ) / μ a) (v.filterAt x) (𝓝 0)
a : Set α
h'a : μ a < ∞
h''a : IntegrableOn f a μ
⊢ (ENNReal.toReal ∘ fun a ↦ (∫⁻ (y : α) in a, ‖f y - f x‖ₑ ∂μ) / μ a) a = ⨍ (y : α) in a, ‖f y - f x‖ ∂μ
Module: Mathlib.MeasureTheory.Covering.Differentiation

Goal state before:
pp: α : Type u_1
inst✝⁶ : PseudoMetricSpace α
m0 : MeasurableSpace α
μ : Measure α
v : VitaliFamily μ
E : Type u_2
inst✝⁵ : NormedAddCommGroup E
inst✝⁴ : SecondCountableTopology α
inst✝³ : BorelSpace α
inst✝² : IsLocallyFiniteMeasure μ
inst✝¹ : NormedSpace ℝ E
inst✝ : CompleteSpace E
f : α → E
hf : LocallyIntegrable f μ
x : α
hx : Tendsto (fun a ↦ ⨍ (y : α) in a, ‖f y - f x‖ ∂μ) (v.filterAt x) (𝓝 0)
h'x : ∀ᶠ (a : Set α) in v.filterAt x, 0 < μ a
a : Set α
ha : 0 < μ a
h'a : μ a < ∞
⊢ IntegrableOn f a μ → ‖⨍ (y : α) in a, f y ∂μ - f x‖ ≤ ⨍ (y : α) in a, ‖f y - f x‖ ∂μ

Tactic:
h''a

Goal state after:
α : Type u_1
inst✝⁶ : PseudoMetricSpace α
m0 : MeasurableSpace α
μ : Measure α
v : VitaliFamily μ
E : Type u_2
inst✝⁵ : NormedAddCommGroup E
inst✝⁴ : SecondCountableTopology α
inst✝³ : BorelSpace α
inst✝² : IsLocallyFiniteMeasure μ
inst✝¹ : NormedSpace ℝ E
inst✝ : CompleteSpace E
f : α → E
hf : LocallyIntegrable f μ
x : α
hx : Tendsto (fun a ↦ ⨍ (y : α) in a, ‖f y - f x‖ ∂μ) (v.filterAt x) (𝓝 0)
h'x : ∀ᶠ (a : Set α) in v.filterAt x, 0 < μ a
a : Set α
ha : 0 < μ a
h'a : μ a < ∞
h''a : IntegrableOn f a μ
⊢ ‖⨍ (y : α) in a, f y ∂μ - f x‖ ≤ ⨍ (y : α) in a, ‖f y - f x‖ ∂μ
Module: Mathlib.Topology.EMetricSpace.BoundedVariation

Goal state before:
pp: α : Type u_1
inst✝³ : LinearOrder α
E : Type u_2
inst✝² : PseudoEMetricSpace E
inst✝¹ : TopologicalSpace α
inst✝ : OrderTopology α
f : α → E
s : Set α
l : E
hf : BoundedVariationOn f s
x : α
h'f : Tendsto f (𝓝[s ∩ Iio x] x) (𝓝 l)
hx : x ∈ s
h : (𝓝[s ∩ Iio x] x).NeBot
H : Tendsto (fun y ↦ eVariationOn f (s ∩ Ico y x) + edist (f x) l) (𝓝[s ∩ Iio x] x) (𝓝 (edist (f x) l))
y : α
hy : y ∈ s ∩ Iio x
N : 𝓝[s ∩ Ici y ∩ Iio x] x = 𝓝[s ∩ Iio x] x
⊢ eVariationOn f (s ∩ Ico y x) + edist (f x) l = eVariationOn f (s ∩ Icc y x)

Tactic:
rw [show s ∩ Icc y x = (s ∩ Ici y) ∩ Iic x by grind,
      eVariationOn_on_inter_Iic_eq_Iio_add_edist (l := l)]

Goal state after:
α : Type u_1
inst✝³ : LinearOrder α
E : Type u_2
inst✝² : PseudoEMetricSpace E
inst✝¹ : TopologicalSpace α
inst✝ : OrderTopology α
f : α → E
s : Set α
l : E
hf : BoundedVariationOn f s
x : α
h'f : Tendsto f (𝓝[s ∩ Iio x] x) (𝓝 l)
hx : x ∈ s
h : (𝓝[s ∩ Iio x] x).NeBot
H : Tendsto (fun y ↦ eVariationOn f (s ∩ Ico y x) + edist (f x) l) (𝓝[s ∩ Iio x] x) (𝓝 (edist (f x) l))
y : α
hy : y ∈ s ∩ Iio x
N : 𝓝[s ∩ Ici y ∩ Iio x] x = 𝓝[s ∩ Iio x] x
⊢ eVariationOn f (s ∩ Ico y x) + edist (f x) l = eVariationOn f (s ∩ Ici y ∩ Iio x) + edist (f x) l

case h
α : Type u_1
inst✝³ : LinearOrder α
E : Type u_2
inst✝² : PseudoEMetricSpace E
inst✝¹ : TopologicalSpace α
inst✝ : OrderTopology α
f : α → E
s : Set α
l : E
hf : BoundedVariationOn f s
x : α
h'f : Tendsto f (𝓝[s ∩ Iio x] x) (𝓝 l)
hx : x ∈ s
h : (𝓝[s ∩ Iio x] x).NeBot
H : Tendsto (fun y ↦ eVariationOn f (s ∩ Ico y x) + edist (f x) l) (𝓝[s ∩ Iio x] x) (𝓝 (edist (f x) l))
y : α
hy : y ∈ s ∩ Iio x
N : 𝓝[s ∩ Ici y ∩ Iio x] x = 𝓝[s ∩ Iio x] x
⊢ (𝓝[s ∩ Ici y ∩ Iio x] x).NeBot

case ha
α : Type u_1
inst✝³ : LinearOrder α
E : Type u_2
inst✝² : PseudoEMetricSpace E
inst✝¹ : TopologicalSpace α
inst✝ : OrderTopology α
f : α → E
s : Set α
l : E
hf : BoundedVariationOn f s
x : α
h'f : Tendsto f (𝓝[s ∩ Iio x] x) (𝓝 l)
hx : x ∈ s
h : (𝓝[s ∩ Iio x] x).NeBot
H : Tendsto (fun y ↦ eVariationOn f (s ∩ Ico y x) + edist (f x) l) (𝓝[s ∩ Iio x] x) (𝓝 (edist (f x) l))
y : α
hy : y ∈ s ∩ Iio x
N : 𝓝[s ∩ Ici y ∩ Iio x] x = 𝓝[s ∩ Iio x] x
⊢ x ∈ s ∩ Ici y

case h'f
α : Type u_1
inst✝³ : LinearOrder α
E : Type u_2
inst✝² : PseudoEMetricSpace E
inst✝¹ : TopologicalSpace α
inst✝ : OrderTopology α
f : α → E
s : Set α
l : E
hf : BoundedVariationOn f s
x : α
h'f : Tendsto f (𝓝[s ∩ Iio x] x) (𝓝 l)
hx : x ∈ s
h : (𝓝[s ∩ Iio x] x).NeBot
H : Tendsto (fun y ↦ eVariationOn f (s ∩ Ico y x) + edist (f x) l) (𝓝[s ∩ Iio x] x) (𝓝 (edist (f x) l))
y : α
hy : y ∈ s ∩ Iio x
N : 𝓝[s ∩ Ici y ∩ Iio x] x = 𝓝[s ∩ Iio x] x
⊢ Tendsto f (𝓝[s ∩ Ici y ∩ Iio x] x) (𝓝 l)
Module: Mathlib.RingTheory.Polynomial.Bernstein

Goal state before:
pp: case neg.inl
R : Type u_1
inst✝ : CommRing R
n ν : ℕ
h : ¬ν = n
hνn : ν < n
⊢ Polynomial.eval 1 (↑(n.choose ν) * X ^ ν * (1 - X) ^ (n - ν)) = 0

Tactic:
simp [zero_pow <| Nat.sub_ne_zero_of_lt hνn]

Goal state after:
Module: Mathlib.RingTheory.Polynomial.Bernstein

Goal state before:
pp: R : Type u_1
inst✝ : CommRing R
n ν : ℕ
⊢ Polynomial.derivative (bernsteinPolynomial R n (ν + 1)) =
    ↑n * (bernsteinPolynomial R (n - 1) ν - bernsteinPolynomial R (n - 1) (ν + 1))

Tactic:
by
  cases n
  · simp [bernsteinPolynomial]
  · rw [Nat.cast_succ]; apply derivative_succ_aux

Goal state after: