mathlib-initiative/mathlib-tactics huggingface dataset:
Module: Mathlib.MeasureTheory.Measure.Lebesgue.VolumeOfBalls

Goal state before:
pp: ι : Type u_1
inst✝¹ : Fintype ι
inst✝ : Nonempty ι
p : ℝ
hp : 1 ≤ p
r : ℝ
⊢ volume {x | (∑ i, |x i| ^ p) ^ (1 / p) ≤ r} =
    ENNReal.ofReal r ^ card ι * ENNReal.ofReal ((2 * Gamma (1 / p + 1)) ^ card ι / Gamma (↑(card ι) / p + 1))

Tactic:
have h₁ : 0 < p := by linarith

Goal state after:
ι : Type u_1
inst✝¹ : Fintype ι
inst✝ : Nonempty ι
p : ℝ
hp : 1 ≤ p
r : ℝ
h₁ : 0 < p
⊢ volume {x | (∑ i, |x i| ^ p) ^ (1 / p) ≤ r} =
    ENNReal.ofReal r ^ card ι * ENNReal.ofReal ((2 * Gamma (1 / p + 1)) ^ card ι / Gamma (↑(card ι) / p + 1))
Module: Mathlib.MeasureTheory.Measure.Lebesgue.VolumeOfBalls

Goal state before:
pp: ι : Type u_1
inst✝ : Fintype ι
p : ℝ
hp : 1 ≤ p
⊢ volume {x | ∑ i, ‖x i‖ ^ p < 1} =
    ENNReal.ofReal ((π * Real.Gamma (2 / p + 1)) ^ card ι / Real.Gamma (2 * ↑(card ι) / p + 1))

Tactic:
have h₁ : 0 < p := by linarith

Goal state after:
ι : Type u_1
inst✝ : Fintype ι
p : ℝ
hp : 1 ≤ p
h₁ : 0 < p
⊢ volume {x | ∑ i, ‖x i‖ ^ p < 1} =
    ENNReal.ofReal ((π * Real.Gamma (2 / p + 1)) ^ card ι / Real.Gamma (2 * ↑(card ι) / p + 1))
Module: Mathlib.MeasureTheory.Measure.Prokhorov

Goal state before:
pp: E : Type u_1
inst✝³ : MeasurableSpace E
inst✝² : TopologicalSpace E
inst✝¹ : T2Space E
inst✝ : BorelSpace E
u : ℕ → ℝ≥0
K : ℕ → Set E
C : ℝ≥0
hu : Tendsto u atTop (𝓝 0)
hK : ∀ (n : ℕ), IsCompact (K n)
h : NormalSpace E ∨ Monotone K
I :
  ∀ (μ : FiniteMeasure E) (n : ℕ),
    ∑ i ∈ Finset.range (n + 1), μ.restrict (disjointed K i) = μ.restrict ((partialSups K) n)
A : ∀ (n : ℕ), IsCompact ((partialSups K) n)
f : Ultrafilter (FiniteMeasure E)
hf : {μ | μ.mass ≤ C ∧ ∀ (n : ℕ), μ (K n)ᶜ ≤ u n} ∈ f
n : ℕ
⊢ ∃ ν ∈ {ρ | ρ.mass ≤ C ∧ ρ ((partialSups K) n)ᶜ = 0}, Filter.map (fun ρ ↦ ρ.restrict (disjointed K n)) ↑f ≤ 𝓝 ν

Tactic:
rw [← Ultrafilter.coe_map]

Goal state after:
E : Type u_1
inst✝³ : MeasurableSpace E
inst✝² : TopologicalSpace E
inst✝¹ : T2Space E
inst✝ : BorelSpace E
u : ℕ → ℝ≥0
K : ℕ → Set E
C : ℝ≥0
hu : Tendsto u atTop (𝓝 0)
hK : ∀ (n : ℕ), IsCompact (K n)
h : NormalSpace E ∨ Monotone K
I :
  ∀ (μ : FiniteMeasure E) (n : ℕ),
    ∑ i ∈ Finset.range (n + 1), μ.restrict (disjointed K i) = μ.restrict ((partialSups K) n)
A : ∀ (n : ℕ), IsCompact ((partialSups K) n)
f : Ultrafilter (FiniteMeasure E)
hf : {μ | μ.mass ≤ C ∧ ∀ (n : ℕ), μ (K n)ᶜ ≤ u n} ∈ f
n : ℕ
⊢ ∃ ν ∈ {ρ | ρ.mass ≤ C ∧ ρ ((partialSups K) n)ᶜ = 0}, ↑(Ultrafilter.map (fun ρ ↦ ρ.restrict (disjointed K n)) f) ≤ 𝓝 ν
Module: Mathlib.MeasureTheory.Measure.Lebesgue.VolumeOfBalls

Goal state before:
pp: case inl
ι : Type u_1
inst✝¹ : Fintype ι
inst✝ : Nonempty ι
p : ℝ
hp : 1 ≤ p
r : ℝ
h₁ : ∀ (x : ι → ℂ), 0 ≤ ∑ i, ‖x i‖ ^ p
h₂ : ∀ (x : ι → ℂ), 0 ≤ (∑ i, ‖x i‖ ^ p) ^ (1 / p)
hr : r ≤ 0
this : {x | (∑ i, ‖x i‖ ^ p) ^ (1 / p) < r} = ∅
⊢ 0 = 0 ^ (2 * card ι) * ENNReal.ofReal ((π * Real.Gamma (2 / p + 1)) ^ card ι / Real.Gamma (2 * ↑(card ι) / p + 1))

Tactic:
zero_pow Fin.pos'.ne',

Goal state after:
case inl
ι : Type u_1
inst✝¹ : Fintype ι
inst✝ : Nonempty ι
p : ℝ
hp : 1 ≤ p
r : ℝ
h₁ : ∀ (x : ι → ℂ), 0 ≤ ∑ i, ‖x i‖ ^ p
h₂ : ∀ (x : ι → ℂ), 0 ≤ (∑ i, ‖x i‖ ^ p) ^ (1 / p)
hr : r ≤ 0
this : {x | (∑ i, ‖x i‖ ^ p) ^ (1 / p) < r} = ∅
⊢ 0 = 0 * ENNReal.ofReal ((π * Real.Gamma (2 / p + 1)) ^ card ι / Real.Gamma (2 * ↑(card ι) / p + 1))
Module: Mathlib.MeasureTheory.Measure.Lebesgue.VolumeOfBalls

Goal state before:
pp: ι : Type u_1
inst✝¹ : Fintype ι
inst✝ : Nonempty ι
p : ℝ
hp : 1 ≤ p
r : ℝ
⊢ volume {x | (∑ i, ‖x i‖ ^ p) ^ (1 / p) ≤ r} =
    ENNReal.ofReal r ^ (2 * card ι) *
      ENNReal.ofReal ((π * Real.Gamma (2 / p + 1)) ^ card ι / Real.Gamma (2 * ↑(card ι) / p + 1))

Tactic:
have h₁ : 0 < p := by linarith

Goal state after:
ι : Type u_1
inst✝¹ : Fintype ι
inst✝ : Nonempty ι
p : ℝ
hp : 1 ≤ p
r : ℝ
h₁ : 0 < p
⊢ volume {x | (∑ i, ‖x i‖ ^ p) ^ (1 / p) ≤ r} =
    ENNReal.ofReal r ^ (2 * card ι) *
      ENNReal.ofReal ((π * Real.Gamma (2 / p + 1)) ^ card ι / Real.Gamma (2 * ↑(card ι) / p + 1))
Module: Mathlib.MeasureTheory.Measure.Lebesgue.VolumeOfBalls

Goal state before:
pp: case e'_3
ι : Type u_1
inst✝¹ : Nonempty ι
inst✝ : Fintype ι
x : EuclideanSpace ℝ ι
r : ℝ
hr : 0 ≤ r
⊢ √π = 2 * (1 / 2 * √π)

Tactic:
← mul_assoc,

Goal state after:
case e'_3
ι : Type u_1
inst✝¹ : Nonempty ι
inst✝ : Fintype ι
x : EuclideanSpace ℝ ι
r : ℝ
hr : 0 ≤ r
⊢ √π = 2 * (1 / 2) * √π
Module: Mathlib.MeasureTheory.Measure.Lebesgue.VolumeOfBalls

Goal state before:
pp: E : Type u_1
inst✝⁴ : NormedAddCommGroup E
inst✝³ : InnerProductSpace ℝ E
inst✝² : FiniteDimensional ℝ E
inst✝¹ : MeasurableSpace E
inst✝ : BorelSpace E
k : ℕ
hk : finrank ℝ E = 2 * k + 1
x : E
r : ℝ
this : Nontrivial E
⊢ volume (closedBall x r) = ENNReal.ofReal r ^ finrank ℝ E * ENNReal.ofReal (π ^ k * 2 ^ (k + 1) / ↑(finrank ℝ E)‼)

Tactic:
rw [addHaar_closedBall_eq_addHaar_ball, volume_ball_of_dim_odd hk x r]

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

Goal state before:
pp: E : Type u_1
inst✝³ : MeasurableSpace E
inst✝² : TopologicalSpace E
inst✝¹ : T2Space E
inst✝ : BorelSpace E
u : ℕ → ℝ≥0
K : ℕ → Set E
C : ℝ≥0
hu : Tendsto u atTop (𝓝 0)
hK : ∀ (n : ℕ), IsCompact (K n)
h : NormalSpace E ∨ Monotone K
I :
  ∀ (μ : FiniteMeasure E) (n : ℕ),
    ∑ i ∈ Finset.range (n + 1), μ.restrict (disjointed K i) = μ.restrict ((partialSups K) n)
A : ∀ (n : ℕ), IsCompact ((partialSups K) n)
f : Ultrafilter (FiniteMeasure E)
hf : {μ | μ.mass ≤ C ∧ ∀ (n : ℕ), μ (K n)ᶜ ≤ u n} ∈ f
ν : ℕ → FiniteMeasure E
ν_reg : ∀ (n : ℕ), (↑(ν n)).InnerRegular
νK : ∀ (n : ℕ), (ν n) ((partialSups K) n)ᶜ = 0
hν : ∀ (n : ℕ), Tendsto (fun ρ ↦ ρ.restrict (disjointed K n)) (↑f) (𝓝 (ν n))
B : (Measure.sum fun n ↦ ↑(ν n)) univ ≤ ↑C
μ : FiniteMeasure E := ⟨Measure.sum fun n ↦ ↑(ν n), ⋯⟩
g : E →ᵇ ℝ
ε : ℝ
εpos : ε > 0
I1 : ∀ᶠ (n : ℕ) in atTop, dist (∫ (x : E), g x ∂∑ i ∈ Finset.range (n + 1), ↑(ν i)) (∫ (x : E), g x ∂↑μ) < ε / 3
I2 : ∀ᶠ (n : ℕ) in atTop, ‖g‖ * ↑(u n) < ε / 3
n : ℕ
hn : dist (∫ (x : E), g x ∂∑ i ∈ Finset.range (n + 1), ↑(ν i)) (∫ (x : E), g x ∂↑μ) < ε / 3
h'n : ‖g‖ * ↑(u n) < ε / 3
this✝ :
  Tendsto (fun ρ ↦ ∫ (x : E), g x ∂↑(∑ i ∈ Finset.range (n + 1), ρ.restrict (disjointed K i))) (↑f)
    (𝓝 (∫ (x : E), g x ∂↑(∑ i ∈ Finset.range (n + 1), ν i)))
ρ : FiniteMeasure E
hρ :
  dist (∫ (x : E), g x ∂↑(∑ i ∈ Finset.range (n + 1), ρ.restrict (disjointed K i)))
      (∫ (x : E), g x ∂↑(∑ i ∈ Finset.range (n + 1), ν i)) <
    ε / 3
h'ρ : ρ.mass ≤ C ∧ ∀ (n : ℕ), ρ (K n)ᶜ ≤ u n
this : ρ = ρ.restrict ((partialSups K) n)ᶜ + ∑ i ∈ Finset.range (n + 1), ρ.restrict (disjointed K i)
⊢ ‖g‖ * ↑(ρ ((partialSups K) n)ᶜ) ≤ ‖g‖ * ↑(ρ (K n)ᶜ)

Tactic:
gcongr; apply le_partialSups

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

Goal state before:
pp: X : Type u_1
inst✝¹ : TopologicalSpace X
inst✝ : MeasurableSpace X
μ : Measure X
⊢ μ.support = ⋂₀ {t | IsClosed[inst✝¹] t ∧ μ tᶜ = 0}

Tactic:
convert! congr($(compl_support_eq_sUnion (μ := μ))ᶜ)

Goal state after:
case e'_2
X : Type u_1
inst✝¹ : TopologicalSpace X
inst✝ : MeasurableSpace X
μ : Measure X
⊢ μ.support = μ.supportᶜᶜ

case e'_3
X : Type u_1
inst✝¹ : TopologicalSpace X
inst✝ : MeasurableSpace X
μ : Measure X
⊢ ⋂₀ {t | IsClosed[inst✝¹] t ∧ μ tᶜ = 0} = (⋃₀ {t | IsOpen[inst✝¹] t ∧ μ t = 0})ᶜ
Module: Mathlib.MeasureTheory.Measure.SeparableMeasure

Goal state before:
pp: X : Type u_1
m : MeasurableSpace X
μ : Measure X
𝒜 : Set (Set X)
inst✝ : IsFiniteMeasure μ
h𝒜 : IsSetAlgebra 𝒜
hgen : m = MeasurableSpace.generateFrom 𝒜
s : Set X
f : ℕ → Set X
hs✝ : ∀ (n : ℕ), MeasurableSet (f n)
hf : ∀ (n : ℕ), MeasurableSet (f n) ∧ ∀ (ε : ℝ), 0 < ε → ∃ t ∈ 𝒜, μ.real (f n ∆ t) < ε
ε : ℝ
ε_pos : 0 < ε
this : Filter.Tendsto (fun n ↦ (μ (accumulate f n)).toReal) Filter.atTop (nhds (μ (⋃ i, f i)).toReal)
N : ℕ
hN : ∀ n ≥ N, dist (μ (accumulate f n)).toReal (μ (⋃ i, f i)).toReal < ε / 2
g : ℕ → Set X
g_mem : ∀ (n : ℕ), g n ∈ 𝒜
hg : ∀ (n : ℕ), μ.real (f n ∆ g n) < ε / (2 * (↑N + 1))
⊢ (↑N + 1) * (ε / 2 * (1 / (↑N + 1))) ≤ ε / 2

Tactic:
← mul_assoc,

Goal state after:
X : Type u_1
m : MeasurableSpace X
μ : Measure X
𝒜 : Set (Set X)
inst✝ : IsFiniteMeasure μ
h𝒜 : IsSetAlgebra 𝒜
hgen : m = MeasurableSpace.generateFrom 𝒜
s : Set X
f : ℕ → Set X
hs✝ : ∀ (n : ℕ), MeasurableSet (f n)
hf : ∀ (n : ℕ), MeasurableSet (f n) ∧ ∀ (ε : ℝ), 0 < ε → ∃ t ∈ 𝒜, μ.real (f n ∆ t) < ε
ε : ℝ
ε_pos : 0 < ε
this : Filter.Tendsto (fun n ↦ (μ (accumulate f n)).toReal) Filter.atTop (nhds (μ (⋃ i, f i)).toReal)
N : ℕ
hN : ∀ n ≥ N, dist (μ (accumulate f n)).toReal (μ (⋃ i, f i)).toReal < ε / 2
g : ℕ → Set X
g_mem : ∀ (n : ℕ), g n ∈ 𝒜
hg : ∀ (n : ℕ), μ.real (f n ∆ g n) < ε / (2 * (↑N + 1))
⊢ (↑N + 1) * (ε / 2) * (1 / (↑N + 1)) ≤ ε / 2
Module: Mathlib.MeasureTheory.Measure.SeparableMeasure

Goal state before:
pp: case refine_1
X : Type u_1
E : Type u_2
m : MeasurableSpace X
inst✝² : NormedAddCommGroup E
μ : Measure X
p : ℝ≥0∞
one_le_p : Fact (1 ≤ p)
p_ne_top : Fact (p ≠ ∞)
𝒜✝ : Set (Set X)
inst✝¹ : CountablyGenerated X
inst✝ : SFinite μ
this : IsSeparable (μ.restrict μ.sigmaFiniteSet)
𝒜 : Set (Set X)
count_𝒜 : 𝒜.Countable
h𝒜 : (μ.restrict μ.sigmaFiniteSet).MeasureDense 𝒜
ℬ : Set (Set X) := {x | ∃ s ∈ 𝒜, s ∩ μ.sigmaFiniteSet = x}
⊢ ∀ s ∈ ℬ, MeasurableSet s

Tactic:
rintro - ⟨s, s_mem, rfl⟩
      exact (h𝒜.measurable s s_mem).inter measurableSet_sigmaFiniteSet

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

Goal state before:
pp: case refine_2.inl
X : Type u_1
E : Type u_2
m : MeasurableSpace X
inst✝² : NormedAddCommGroup E
μ : Measure X
p : ℝ≥0∞
one_le_p : Fact (1 ≤ p)
p_ne_top : Fact (p ≠ ∞)
𝒜✝ : Set (Set X)
inst✝¹ : CountablyGenerated X
inst✝ : SFinite μ
this✝ : IsSeparable (μ.restrict μ.sigmaFiniteSet)
𝒜 : Set (Set X)
count_𝒜 : 𝒜.Countable
h𝒜 : (μ.restrict μ.sigmaFiniteSet).MeasureDense 𝒜
ℬ : Set (Set X) := {x | ∃ s ∈ 𝒜, s ∩ μ.sigmaFiniteSet = x}
s : Set X
ms : MeasurableSet s
hμs : μ s ≠ ∞
ε : ℝ
ε_pos : 0 < ε
hs : (μ.restrict μ.sigmaFiniteSetᶜ) s = 0
this : (μ.restrict μ.sigmaFiniteSet) s ≠ ∞
⊢ ∃ t ∈ ℬ, μ (s ∆ t) < ENNReal.ofReal ε

Tactic:
rcases h𝒜.approx s ms this ε ε_pos with ⟨t, t_mem, ht⟩

Goal state after:
case refine_2.inl
X : Type u_1
E : Type u_2
m : MeasurableSpace X
inst✝² : NormedAddCommGroup E
μ : Measure X
p : ℝ≥0∞
one_le_p : Fact (1 ≤ p)
p_ne_top : Fact (p ≠ ∞)
𝒜✝ : Set (Set X)
inst✝¹ : CountablyGenerated X
inst✝ : SFinite μ
this✝ : IsSeparable (μ.restrict μ.sigmaFiniteSet)
𝒜 : Set (Set X)
count_𝒜 : 𝒜.Countable
h𝒜 : (μ.restrict μ.sigmaFiniteSet).MeasureDense 𝒜
ℬ : Set (Set X) := {x | ∃ s ∈ 𝒜, s ∩ μ.sigmaFiniteSet = x}
s : Set X
ms : MeasurableSet s
hμs : μ s ≠ ∞
ε : ℝ
ε_pos : 0 < ε
hs : (μ.restrict μ.sigmaFiniteSetᶜ) s = 0
this : (μ.restrict μ.sigmaFiniteSet) s ≠ ∞
t : Set X
t_mem : t ∈ 𝒜
ht : (μ.restrict μ.sigmaFiniteSet) (s ∆ t) < ENNReal.ofReal ε
⊢ ∃ t ∈ ℬ, μ (s ∆ t) < ENNReal.ofReal ε
Module: Mathlib.MeasureTheory.VectorMeasure.Variation.Basic

Goal state before:
pp: X : Type u_1
V : Type u_2
mX : MeasurableSpace X
inst✝² : TopologicalSpace V
inst✝¹ : ENormedAddCommMonoid V
inst✝ : T2Space V
μ : VectorMeasure X V
h : μ.variation = 0
⊢ μ = 0

Tactic:
ext s hs
    apply enorm_eq_zero.1
    apply le_antisymm ?_ (by simp)
    grw [enorm_measure_le_variation]
    simp [h]

Goal state after:
Module: Mathlib.MeasureTheory.VectorMeasure.Variation.Basic

Goal state before:
pp: X : Type u_1
V : Type u_2
mX : MeasurableSpace X
inst✝ : NormedAddCommGroup V
μ : VectorMeasure X V
E : Set X
hE : μ.variation E ≠ ∞
⊢ ‖μ E‖ ≤ (μ.variation E).toReal

Tactic:
← toReal_enorm,

Goal state after:
X : Type u_1
V : Type u_2
mX : MeasurableSpace X
inst✝ : NormedAddCommGroup V
μ : VectorMeasure X V
E : Set X
hE : μ.variation E ≠ ∞
⊢ ‖μ E‖ₑ.toReal ≤ (μ.variation E).toReal
Module: Mathlib.MeasureTheory.VectorMeasure.Variation.Basic

Goal state before:
pp: X : Type u_1
V : Type u_2
mX : MeasurableSpace X
inst✝ : NormedAddCommGroup V
μ : VectorMeasure X V
E : Set X
hE : μ.variation E ≠ ∞
⊢ ‖μ E‖ ≤ μ.variation.real E

Tactic:
rw [measureReal_def, ← toReal_enorm, ENNReal.toReal_le_toReal (enorm_ne_top) hE]
  exact enorm_measure_le_variation μ E

Goal state after:
Module: Mathlib.MeasureTheory.VectorMeasure.AddContent

Goal state before:
pp: α : Type u_1
hα : MeasurableSpace α
E : Type u_2
inst✝² : NormedAddCommGroup E
inst✝¹ : CompleteSpace E
μ : Measure α
m : Set α → E
hm : ∀ (s : Set α), ‖m s‖ₑ ≤ μ s
inst✝ : IsFiniteMeasure μ
h'm : ∀ (s t : Set α), MeasurableSet s → MeasurableSet t → Disjoint s t → m (s ∪ t) = m s + m t
h''m : ∀ (s : Set α), ¬MeasurableSet s → m s = 0
f : ℕ → Set α
f_meas : ∀ (i : ℕ), MeasurableSet (f i)
f_disj : Pairwise (Function.onFun Disjoint f)
⊢ Filter.Tendsto (fun e ↦ ‖m (⋃ i, f i) - ∑ i ∈ Finset.range e, m (f i)‖) Filter.atTop (nhds 0)

Tactic:
← toReal_enorm,

Goal state after:
α : Type u_1
hα : MeasurableSpace α
E : Type u_2
inst✝² : NormedAddCommGroup E
inst✝¹ : CompleteSpace E
μ : Measure α
m : Set α → E
hm : ∀ (s : Set α), ‖m s‖ₑ ≤ μ s
inst✝ : IsFiniteMeasure μ
h'm : ∀ (s t : Set α), MeasurableSet s → MeasurableSet t → Disjoint s t → m (s ∪ t) = m s + m t
h''m : ∀ (s : Set α), ¬MeasurableSet s → m s = 0
f : ℕ → Set α
f_meas : ∀ (i : ℕ), MeasurableSet (f i)
f_disj : Pairwise (Function.onFun Disjoint f)
⊢ Filter.Tendsto (fun e ↦ ‖m (⋃ i, f i) - ∑ i ∈ Finset.range e, m (f i)‖ₑ.toReal) Filter.atTop (nhds 0)
Module: Mathlib.MeasureTheory.VectorMeasure.BoundedVariation

Goal state before:
pp: case inr
α : Type u_1
inst✝⁸ : LinearOrder α
inst✝⁷ : DenselyOrdered α
inst✝⁶ : TopologicalSpace α
inst✝⁵ : OrderTopology α
inst✝⁴ : SecondCountableTopology α
inst✝³ : CompactIccSpace α
hα : MeasurableSpace α
inst✝² : BorelSpace α
E : Type u_2
inst✝¹ : NormedAddCommGroup E
inst✝ : CompleteSpace E
f : α → E
hf : BoundedVariationOn f univ
h'α : Nonempty α
m : AddContent E {s | ∃ u v, u ≤ v ∧ s = Ioc u v} := AddContent.onIoc (Function.rightLim f)
A : ∀ s ∈ {s | ∃ u v, u ≤ v ∧ s = Ioc u v}, ‖m s‖ₑ ≤ hf.measureAux s
⊢ ∃ m,
    (∀ (u v : α), u ≤ v → m (Ioc u v) = Function.rightLim f v - Function.rightLim f u) ∧
      m botSet = 0 ∧ ∀ (s : Set α), ‖m s‖ₑ ≤ hf.measureAux s

Tactic:
have B : hα = generateFrom {s | ∃ u v, u ≤ v ∧ s = Ioc u v} := by
    borelize α
    convert! borel_eq_generateFrom_Ioc_le α using 2
    grind only

Goal state after:
case inr
α : Type u_1
inst✝⁸ : LinearOrder α
inst✝⁷ : DenselyOrdered α
inst✝⁶ : TopologicalSpace α
inst✝⁵ : OrderTopology α
inst✝⁴ : SecondCountableTopology α
inst✝³ : CompactIccSpace α
hα : MeasurableSpace α
inst✝² : BorelSpace α
E : Type u_2
inst✝¹ : NormedAddCommGroup E
inst✝ : CompleteSpace E
f : α → E
hf : BoundedVariationOn f univ
h'α : Nonempty α
m : AddContent E {s | ∃ u v, u ≤ v ∧ s = Ioc u v} := AddContent.onIoc (Function.rightLim f)
A : ∀ s ∈ {s | ∃ u v, u ≤ v ∧ s = Ioc u v}, ‖m s‖ₑ ≤ hf.measureAux s
B : hα = generateFrom {s | ∃ u v, u ≤ v ∧ s = Ioc u v}
⊢ ∃ m,
    (∀ (u v : α), u ≤ v → m (Ioc u v) = Function.rightLim f v - Function.rightLim f u) ∧
      m botSet = 0 ∧ ∀ (s : Set α), ‖m s‖ₑ ≤ hf.measureAux s
Module: Mathlib.MeasureTheory.VectorMeasure.BoundedVariation

Goal state before:
pp: case pos
α : Type u_1
inst✝⁸ : LinearOrder α
inst✝⁷ : DenselyOrdered α
inst✝⁶ : TopologicalSpace α
inst✝⁵ : OrderTopology α
inst✝⁴ : SecondCountableTopology α
inst✝³ : CompactIccSpace α
hα : MeasurableSpace α
inst✝² : BorelSpace α
E : Type u_2
inst✝¹ : NormedAddCommGroup E
inst✝ : CompleteSpace E
f : α → E
a : α
hf : BoundedVariationOn f univ
ha : IsBot a
h : ∃ x, IsBot x
heqa : h.choose = a
⊢ hf.vectorMeasure {a} = Function.rightLim f a - Function.leftLim f a

Tactic:
have A : hf.exists_vectorMeasure_le_measureAux.choose {a} = 0 := by
      rw [← botSet_eq_singleton_of_isBot ha]
      exact hf.exists_vectorMeasure_le_measureAux.choose_spec.2.1

Goal state after:
case pos
α : Type u_1
inst✝⁸ : LinearOrder α
inst✝⁷ : DenselyOrdered α
inst✝⁶ : TopologicalSpace α
inst✝⁵ : OrderTopology α
inst✝⁴ : SecondCountableTopology α
inst✝³ : CompactIccSpace α
hα : MeasurableSpace α
inst✝² : BorelSpace α
E : Type u_2
inst✝¹ : NormedAddCommGroup E
inst✝ : CompleteSpace E
f : α → E
a : α
hf : BoundedVariationOn f univ
ha : IsBot a
h : ∃ x, IsBot x
heqa : h.choose = a
A : ⋯.choose {a} = 0
⊢ hf.vectorMeasure {a} = Function.rightLim f a - Function.leftLim f a
Module: Mathlib.MeasureTheory.VectorMeasure.Decomposition.JordanSub

Goal state before:
pp: X : Type u_1
mX : MeasurableSpace X
μ ν : Measure X
inst✝¹ : IsFiniteMeasure μ
inst✝ : IsFiniteMeasure ν
s : Set X
hs : IsHahnDecomposition μ ν s
hsc : IsHahnDecomposition ν μ sᶜ
h₁ :
  ((ν - μ).restrict s).toSignedMeasure =
    VectorMeasure.restrict ν.toSignedMeasure s - VectorMeasure.restrict μ.toSignedMeasure s
h₂ :
  ((μ - ν).restrict sᶜ).toSignedMeasure =
    VectorMeasure.restrict μ.toSignedMeasure sᶜ - VectorMeasure.restrict ν.toSignedMeasure sᶜ
h₁' : ((μ - ν).restrict s).toSignedMeasure = toSignedMeasure 0
h₂' : ((ν - μ).restrict sᶜ).toSignedMeasure = toSignedMeasure 0
partition₁ : ((μ - ν).restrict s).toSignedMeasure + ((μ - ν).restrict sᶜ).toSignedMeasure = (μ - ν).toSignedMeasure
partition₂ : ((ν - μ).restrict s).toSignedMeasure + ((ν - μ).restrict sᶜ).toSignedMeasure = (ν - μ).toSignedMeasure
⊢ μ.toSignedMeasure - ν.toSignedMeasure = (μ - ν).toSignedMeasure - (ν - μ).toSignedMeasure

Tactic:
h₁',

Goal state after:
X : Type u_1
mX : MeasurableSpace X
μ ν : Measure X
inst✝¹ : IsFiniteMeasure μ
inst✝ : IsFiniteMeasure ν
s : Set X
hs : IsHahnDecomposition μ ν s
hsc : IsHahnDecomposition ν μ sᶜ
h₁ :
  ((ν - μ).restrict s).toSignedMeasure =
    VectorMeasure.restrict ν.toSignedMeasure s - VectorMeasure.restrict μ.toSignedMeasure s
h₂ :
  ((μ - ν).restrict sᶜ).toSignedMeasure =
    VectorMeasure.restrict μ.toSignedMeasure sᶜ - VectorMeasure.restrict ν.toSignedMeasure sᶜ
h₁' : ((μ - ν).restrict s).toSignedMeasure = toSignedMeasure 0
h₂' : ((ν - μ).restrict sᶜ).toSignedMeasure = toSignedMeasure 0
partition₁ : toSignedMeasure 0 + ((μ - ν).restrict sᶜ).toSignedMeasure = (μ - ν).toSignedMeasure
partition₂ : ((ν - μ).restrict s).toSignedMeasure + ((ν - μ).restrict sᶜ).toSignedMeasure = (ν - μ).toSignedMeasure
⊢ μ.toSignedMeasure - ν.toSignedMeasure = (μ - ν).toSignedMeasure - (ν - μ).toSignedMeasure
Module: Mathlib.MeasureTheory.VectorMeasure.Prod

Goal state before:
pp: ι : Type u_1
X : Type u_2
Y : Type u_3
E : Type u_4
F : Type u_5
G : Type u_6
H : Type u_7
I : Type u_8
J : Type u_9
mX : MeasurableSpace X
mY : MeasurableSpace Y
inst✝¹⁴ : NormedAddCommGroup E
inst✝¹³ : NormedSpace ℝ E
inst✝¹² : NormedAddCommGroup F
inst✝¹¹ : NormedSpace ℝ F
inst✝¹⁰ : NormedAddCommGroup G
inst✝⁹ : NormedSpace ℝ G
inst✝⁸ : NormedAddCommGroup H
inst✝⁷ : NormedSpace ℝ H
inst✝⁶ : NormedAddCommGroup I
inst✝⁵ : NormedSpace ℝ I
inst✝⁴ : NormedAddCommGroup J
inst✝³ : NormedSpace ℝ J
μ : VectorMeasure X E
ν : VectorMeasure Y F
B : E →L[ℝ] F →L[ℝ] G
inst✝² : CompleteSpace G
inst✝¹ : IsFiniteMeasure μ.variation
inst✝ : IsFiniteMeasure ν.variation
⊢ IsFiniteMeasure (μ.prod ν B).variation

Tactic:
have : IsFiniteMeasure (‖B‖ₑ • μ.variation.prod ν.variation) := by
    simp only [enorm_eq_nnnorm, Measure.coe_nnreal_smul]
    infer_instance

Goal state after:
ι : Type u_1
X : Type u_2
Y : Type u_3
E : Type u_4
F : Type u_5
G : Type u_6
H : Type u_7
I : Type u_8
J : Type u_9
mX : MeasurableSpace X
mY : MeasurableSpace Y
inst✝¹⁴ : NormedAddCommGroup E
inst✝¹³ : NormedSpace ℝ E
inst✝¹² : NormedAddCommGroup F
inst✝¹¹ : NormedSpace ℝ F
inst✝¹⁰ : NormedAddCommGroup G
inst✝⁹ : NormedSpace ℝ G
inst✝⁸ : NormedAddCommGroup H
inst✝⁷ : NormedSpace ℝ H
inst✝⁶ : NormedAddCommGroup I
inst✝⁵ : NormedSpace ℝ I
inst✝⁴ : NormedAddCommGroup J
inst✝³ : NormedSpace ℝ J
μ : VectorMeasure X E
ν : VectorMeasure Y F
B : E →L[ℝ] F →L[ℝ] G
inst✝² : CompleteSpace G
inst✝¹ : IsFiniteMeasure μ.variation
inst✝ : IsFiniteMeasure ν.variation
this : IsFiniteMeasure (‖B‖ₑ • μ.variation.prod ν.variation)
⊢ IsFiniteMeasure (μ.prod ν B).variation
Module: Mathlib.MeasureTheory.VectorMeasure.Integral

Goal state before:
pp: X : Type u_2
E : Type u_4
F : Type u_5
mX : MeasurableSpace X
inst✝¹ : NormedAddCommGroup E
inst✝ : NormedAddCommGroup F
f : X → E
⊢ VectorMeasure.Integrable 0 f

Tactic:
by
  simp [VectorMeasure.Integrable]

Goal state after:
Module: Mathlib.MeasureTheory.VectorMeasure.SetIntegral

Goal state before:
pp: case hft
X : Type u_2
E : Type u_3
F : Type u_4
G : Type u_5
mX : MeasurableSpace X
inst✝⁵ : NormedAddCommGroup E
inst✝⁴ : NormedAddCommGroup F
inst✝³ : NormedAddCommGroup G
μ : VectorMeasure X F
f : X → E
inst✝² : NormedSpace ℝ E
inst✝¹ : NormedSpace ℝ F
inst✝ : NormedSpace ℝ G
B : E →L[ℝ] F →L[ℝ] G
s : ℕ → Set X
hm : ∀ (i : ℕ), MeasurableSet (s i)
hd : Pairwise (Disjoint on s)
hfi : μ.IntegrableOn f (⋃ i, s i)
hG : CompleteSpace G
I : ∑' (i : ℕ), ‖B‖ₑ * ∫⁻ (x : X) in s i, ‖f x‖ₑ ∂μ.variation < ∞
this✝ : Summable fun n ↦ ∫ᵛ (x : X) in s n, f x ∂[B; μ]
N : ℕ
this : ⋃ n, s n = (⋃ n ∈ Finset.range N, s n) ∪ ⋃ n, s (n + N)
⊢ μ.IntegrableOn f (⋃ n, s (n + N))

pp: X : Type u_2
E : Type u_3
F : Type u_4
G : Type u_5
mX : MeasurableSpace X
inst✝⁵ : NormedAddCommGroup E
inst✝⁴ : NormedAddCommGroup F
inst✝³ : NormedAddCommGroup G
μ : VectorMeasure X F
f : X → E
inst✝² : NormedSpace ℝ E
inst✝¹ : NormedSpace ℝ F
inst✝ : NormedSpace ℝ G
B : E →L[ℝ] F →L[ℝ] G
s : ℕ → Set X
hm : ∀ (i : ℕ), MeasurableSet (s i)
hd : Pairwise (Disjoint on s)
hfi : μ.IntegrableOn f (⋃ i, s i)
hG : CompleteSpace G
I : ∑' (i : ℕ), ‖B‖ₑ * ∫⁻ (x : X) in s i, ‖f x‖ₑ ∂μ.variation < ∞
this✝ : Summable fun n ↦ ∫ᵛ (x : X) in s n, f x ∂[B; μ]
N : ℕ
this : ⋃ n, s n = (⋃ n ∈ Finset.range N, s n) ∪ ⋃ n, s (n + N)
⊢ ‖∫ᵛ (x : X) in ⋃ n ∈ Finset.range N, s n, f x ∂[B; μ] + ∫ᵛ (x : X) in ⋃ n, s (n + N), f x ∂[B; μ] -
        ∑ i ∈ Finset.range N, ∫ᵛ (x : X) in s i, f x ∂[B; μ]‖ₑ ≤
    ∑' (k : ℕ), ‖B‖ₑ * ∫⁻ (x : X) in s (k + N), ‖f x‖ₑ ∂μ.variation

Tactic:
· apply hfi.mono (MeasurableSet.iUnion hm) (by simp [subset_iUnion s])

Goal state after:
X : Type u_2
E : Type u_3
F : Type u_4
G : Type u_5
mX : MeasurableSpace X
inst✝⁵ : NormedAddCommGroup E
inst✝⁴ : NormedAddCommGroup F
inst✝³ : NormedAddCommGroup G
μ : VectorMeasure X F
f : X → E
inst✝² : NormedSpace ℝ E
inst✝¹ : NormedSpace ℝ F
inst✝ : NormedSpace ℝ G
B : E →L[ℝ] F →L[ℝ] G
s : ℕ → Set X
hm : ∀ (i : ℕ), MeasurableSet (s i)
hd : Pairwise (Disjoint on s)
hfi : μ.IntegrableOn f (⋃ i, s i)
hG : CompleteSpace G
I : ∑' (i : ℕ), ‖B‖ₑ * ∫⁻ (x : X) in s i, ‖f x‖ₑ ∂μ.variation < ∞
this✝ : Summable fun n ↦ ∫ᵛ (x : X) in s n, f x ∂[B; μ]
N : ℕ
this : ⋃ n, s n = (⋃ n ∈ Finset.range N, s n) ∪ ⋃ n, s (n + N)
⊢ ‖∫ᵛ (x : X) in ⋃ n ∈ Finset.range N, s n, f x ∂[B; μ] + ∫ᵛ (x : X) in ⋃ n, s (n + N), f x ∂[B; μ] -
        ∑ i ∈ Finset.range N, ∫ᵛ (x : X) in s i, f x ∂[B; μ]‖ₑ ≤
    ∑' (k : ℕ), ‖B‖ₑ * ∫⁻ (x : X) in s (k + N), ‖f x‖ₑ ∂μ.variation