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

Goal state before:
pp: X : Type u_1
E : Type u_2
m : MeasurableSpace X
inst✝ : NormedAddCommGroup E
μ : Measure X
p : ℝ≥0∞
one_le_p : Fact (1 ≤ p)
p_ne_top : Fact (p ≠ ∞)
𝒜 : Set (Set X)
hμ : IsSeparable μ
⊢ IsSeparable μ.completion

Tactic:
obtain ⟨𝒜, count_𝒜, h𝒜⟩ := exists_countable_measureDense μ
  exact ⟨𝒜, count_𝒜, h𝒜.completion⟩

Goal state after:
Module: Mathlib.MeasureTheory.SpecificCodomains.WithLp

Goal state before:
pp: X : Type u_1
mX : MeasurableSpace X
μ : Measure X
q : ℝ≥0∞
inst✝⁴ : Fact (1 ≤ q)
ι : Type u_2
inst✝³ : Fintype ι
E : ι → Type u_3
inst✝² : (i : ι) → NormedAddCommGroup (E i)
f : X → PiLp q E
inst✝¹ : (i : ι) → NormedSpace ℝ (E i)
inst✝ : ∀ (i : ι), CompleteSpace (E i)
hf : ∀ (i : ι), Integrable (fun x ↦ (f x).ofLp i) μ
i : ι
⊢ ∫ (x : X), (PiLp.proj q E i) (f x) ∂μ = ∫ (x : X), (f x).ofLp i ∂μ

pp: case φ_int
X : Type u_1
mX : MeasurableSpace X
μ : Measure X
q : ℝ≥0∞
inst✝⁴ : Fact (1 ≤ q)
ι : Type u_2
inst✝³ : Fintype ι
E : ι → Type u_3
inst✝² : (i : ι) → NormedAddCommGroup (E i)
f : X → PiLp q E
inst✝¹ : (i : ι) → NormedSpace ℝ (E i)
inst✝ : ∀ (i : ι), CompleteSpace (E i)
hf : ∀ (i : ι), Integrable (fun x ↦ (f x).ofLp i) μ
i : ι
⊢ Integrable f μ

Tactic:
· simp

Goal state after:
case φ_int
X : Type u_1
mX : MeasurableSpace X
μ : Measure X
q : ℝ≥0∞
inst✝⁴ : Fact (1 ≤ q)
ι : Type u_2
inst✝³ : Fintype ι
E : ι → Type u_3
inst✝² : (i : ι) → NormedAddCommGroup (E i)
f : X → PiLp q E
inst✝¹ : (i : ι) → NormedSpace ℝ (E i)
inst✝ : ∀ (i : ι), CompleteSpace (E i)
hf : ∀ (i : ι), Integrable (fun x ↦ (f x).ofLp i) μ
i : ι
⊢ Integrable f μ
Module: Mathlib.MeasureTheory.Measure.SeparableMeasure

Goal state before:
pp: case refine_2.refine_2
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 : IsSeparable μ
inst✝ : SeparableSpace E
𝒜 : Set (Set X)
count_𝒜 : 𝒜.Countable
h𝒜 : μ.MeasureDense 𝒜
𝒜₀ : Set (Set X) := {s | s ∈ 𝒜 ∧ μ s ≠ ∞}
h𝒜₀ : μ.MeasureDense 𝒜₀
count_𝒜₀ : 𝒜₀.Countable
p_ne_zero : p ≠ 0
u : Set E
countable_u : u.Countable
dense_u : Dense u
key : (n : ℕ) → (Fin n → ↑u) → (Fin n → ↑𝒜₀) → ↥(Lp E p μ) := fun n d s ↦ ∑ i, indicatorConstLp p ⋯ ⋯ ↑(d i)
D : Set ↥(Lp E p μ) := {s | ∃ n d t, s = key n d t}
⊢ ∀ ⦃f g : X → E⦄ (hf : MemLp f p μ) (hg : MemLp g p μ),
    Disjoint (Function.support f) (Function.support g) →
      MemLp.toLp f hf ∈ closure D → MemLp.toLp g hg ∈ closure D → MemLp.toLp f hf + MemLp.toLp g hg ∈ closure D

Tactic:
· -- Now we have to show that the closure of `D` is closed by sum. Let `f` and `g` be two
      -- functions in `Lᵖ` which are also in the closure of `D`.
      rintro f g hf hg - f_mem g_mem
      rw [SeminormedAddCommGroup.mem_closure_iff] at *
      intro ε ε_pos
      -- For `ε > 0`, there exists `bf, bg ∈ D` such that `‖f - bf‖ₚ < ε/2` and `‖g - bg‖ₚ < ε/2`.
      rcases f_mem (ε / 2) (by linarith [ε_pos]) with ⟨bf, ⟨nf, df, sf, bf_eq⟩, hbf⟩
      rcases g_mem (ε / 2) (by linarith [ε_pos]) with ⟨bg, ⟨ng, dg, sg, bg_eq⟩, hbg⟩
      -- It is obvious that `D` is closed by sum, it suffices to concatenate the family of
      -- elements of `u` and the family of elements of `𝒜₀`.
      let d := fun i : Fin (nf + ng) ↦ if h : i < nf
        then df (Fin.castLT i h)
        else dg (Fin.subNat nf (Fin.cast (Nat.add_comm ..) i) (le_of_not_gt h))
      let s := fun i : Fin (nf + ng) ↦ if h : i < nf
        then sf (Fin.castLT i h)
        else sg (Fin.subNat nf (Fin.cast (Nat.add_comm ..) i) (le_of_not_gt h))
      -- So we can use `bf + bg`.
      refine ⟨bf + bg, ⟨nf + ng, d, s, ?_⟩, ?_⟩
      · simp [key, d, s, Fin.sum_univ_add, bf_eq, bg_eq]
      · -- We have
        -- `‖f + g - (bf + bg)‖ₚ`
        --   `≤ ‖f - bf‖ₚ + ‖g - bg‖ₚ`
        --   `< ε/2 + ε/2 = ε`.
        calc
          ‖MemLp.toLp f hf + MemLp.toLp g hg - (bf + bg)‖
            = ‖(MemLp.toLp f hf) - bf + ((MemLp.toLp g hg) - bg)‖ := by congr; abel
          _ ≤ ‖(MemLp.toLp f hf) - bf‖ + ‖(MemLp.toLp g hg) - bg‖ := norm_add_le ..
          _ < ε := by linarith [hbf, hbg]

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✝³ : TopologicalSpace V
inst✝² : ENormedAddCommMonoid V
inst✝¹ : T2Space V
μ : VectorMeasure X V
Y : Type u_3
inst✝ : MeasurableSpace Y
φ : X → Y
hφ : MeasurableEmbedding φ
s : Set Y
hs : MeasurableSet s
this : (μ.map φ).variation (s \ Set.range φ) = 0
⊢ Disjoint (s ∩ Set.range φ) (s \ Set.range φ)

Tactic:
by grind

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

Goal state before:
pp: case inl
X : Type u_1
V : Type u_2
mX : MeasurableSpace X
inst✝² : NormedAddCommGroup V
μ : VectorMeasure X V
𝕜 : Type u_3
inst✝¹ : NormedField 𝕜
inst✝ : NormedSpace 𝕜 V
⊢ ‖0‖₊ • μ.variation ≤ (0 • μ).variation

pp: case inr
X : Type u_1
V : Type u_2
mX : MeasurableSpace X
inst✝² : NormedAddCommGroup V
μ : VectorMeasure X V
𝕜 : Type u_3
inst✝¹ : NormedField 𝕜
inst✝ : NormedSpace 𝕜 V
c : 𝕜
hc : c ≠ 0
⊢ ‖c‖₊ • μ.variation ≤ (c • μ).variation

Tactic:
· simp

Goal state after:
case inr
X : Type u_1
V : Type u_2
mX : MeasurableSpace X
inst✝² : NormedAddCommGroup V
μ : VectorMeasure X V
𝕜 : Type u_3
inst✝¹ : NormedField 𝕜
inst✝ : NormedSpace 𝕜 V
c : 𝕜
hc : c ≠ 0
⊢ ‖c‖₊ • μ.variation ≤ (c • μ).variation
Module: Mathlib.MeasureTheory.Measure.Prokhorov

Goal state before:
pp: 𝓧 : Type u_1
m𝓧 : MeasurableSpace 𝓧
inst✝³ : PseudoMetricSpace 𝓧
inst✝² : OpensMeasurableSpace 𝓧
inst✝¹ : SecondCountableTopology 𝓧
S : Set (ProbabilityMeasure 𝓧)
inst✝ : CompleteSpace 𝓧
hcomp : IsCompact (closure[ProbabilityMeasure.instTopologicalSpace] S)
hnonempty : Nonempty 𝓧
D : ℕ → 𝓧
hD : DenseRange D
u : ℕ → ℝ
hu_anti : StrictAnti u
hu_pos : ∀ (n : ℕ), 0 < u n
hu : Tendsto u atTop (𝓝 0)
hcov : ∀ (m : ℕ), ⋃ i, ball (D i) (u m) = univ
ε : ℝ≥0∞
εpos : 0 < ε
hεbound : ε ≤ 1
km : ℕ → ℕ
bigK : Set 𝓧 :=
  ⋂ m, ⋃ i, ⋃ (_ : i ≤ km (m + 1)), closure[PseudoMetricSpace.toUniformSpace.toTopologicalSpace] (ball (D i) (u m))
μ : ProbabilityMeasure 𝓧
hs : μ ∈ S
m : ℕ
hbound : 1 ≤ ↑(μ (⋃ i, ⋃ (_ : i ≤ km (m + 1)), ball (D i) (u (m + 1)))) + ε * ↑2 ^ (-1 + -↑m)
i : ℕ
hi : i ≤ km (m + 1)
⊢ m ≤ m + 1

Tactic:
by grind

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

Goal state before:
pp: X : Type u_1
mX : MeasurableSpace X
μ : SignedMeasure X
s : Set X
hs : MeasurableSet s
a : ℝ≥0∞
ha : a < (variation μ) s
P : Finset (Set X)
Ps : ∀ t ∈ P, t ⊆ s
P_disj : (↑P).PairwiseDisjoint id
P_meas : ∀ t ∈ P, MeasurableSet t
hP : a < ∑ p ∈ P, ‖μ p‖ₑ
⊢ ↑({x ∈ P | 0 ≤ μ x}) ⊆ ↑P

Tactic:
by grind

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

Goal state before:
pp: X : Type u_1
mX : MeasurableSpace X
μ : SignedMeasure X
s : Set X
hs : MeasurableSet s
a : ℝ≥0∞
ha : a < (variation μ) s
P : Finset (Set X)
Ps : ∀ t ∈ P, t ⊆ s
P_disj : (↑P).PairwiseDisjoint id
P_meas : ∀ t ∈ P, MeasurableSet t
hP : a < ∑ p ∈ P, ‖μ p‖ₑ
I : ∑ p ∈ P with 0 ≤ μ p, ‖μ p‖ₑ = ‖μ (⋃ p ∈ {p ∈ P | 0 ≤ μ p}, p)‖ₑ
⊢ ∑ x ∈ P with μ x < 0, -μ x = -∑ p ∈ P with μ p < 0, μ p

pp: case hd
X : Type u_1
mX : MeasurableSpace X
μ : SignedMeasure X
s : Set X
hs : MeasurableSet s
a : ℝ≥0∞
ha : a < (variation μ) s
P : Finset (Set X)
Ps : ∀ t ∈ P, t ⊆ s
P_disj : (↑P).PairwiseDisjoint id
P_meas : ∀ t ∈ P, MeasurableSet t
hP : a < ∑ p ∈ P, ‖μ p‖ₑ
I : ∑ p ∈ P with 0 ≤ μ p, ‖μ p‖ₑ = ‖μ (⋃ p ∈ {p ∈ P | 0 ≤ μ p}, p)‖ₑ
⊢ (↑({x ∈ P | μ x < 0})).PairwiseDisjoint fun x ↦ x

pp: case hm
X : Type u_1
mX : MeasurableSpace X
μ : SignedMeasure X
s : Set X
hs : MeasurableSet s
a : ℝ≥0∞
ha : a < (variation μ) s
P : Finset (Set X)
Ps : ∀ t ∈ P, t ⊆ s
P_disj : (↑P).PairwiseDisjoint id
P_meas : ∀ t ∈ P, MeasurableSet t
hP : a < ∑ p ∈ P, ‖μ p‖ₑ
I : ∑ p ∈ P with 0 ≤ μ p, ‖μ p‖ₑ = ‖μ (⋃ p ∈ {p ∈ P | 0 ≤ μ p}, p)‖ₑ
⊢ ∀ b ∈ {x ∈ P | μ x < 0}, MeasurableSet b

Tactic:
· simp

Goal state after:
case hd
X : Type u_1
mX : MeasurableSpace X
μ : SignedMeasure X
s : Set X
hs : MeasurableSet s
a : ℝ≥0∞
ha : a < (variation μ) s
P : Finset (Set X)
Ps : ∀ t ∈ P, t ⊆ s
P_disj : (↑P).PairwiseDisjoint id
P_meas : ∀ t ∈ P, MeasurableSet t
hP : a < ∑ p ∈ P, ‖μ p‖ₑ
I : ∑ p ∈ P with 0 ≤ μ p, ‖μ p‖ₑ = ‖μ (⋃ p ∈ {p ∈ P | 0 ≤ μ p}, p)‖ₑ
⊢ (↑({x ∈ P | μ x < 0})).PairwiseDisjoint fun x ↦ x

case hm
X : Type u_1
mX : MeasurableSpace X
μ : SignedMeasure X
s : Set X
hs : MeasurableSet s
a : ℝ≥0∞
ha : a < (variation μ) s
P : Finset (Set X)
Ps : ∀ t ∈ P, t ⊆ s
P_disj : (↑P).PairwiseDisjoint id
P_meas : ∀ t ∈ P, MeasurableSet t
hP : a < ∑ p ∈ P, ‖μ p‖ₑ
I : ∑ p ∈ P with 0 ≤ μ p, ‖μ p‖ₑ = ‖μ (⋃ p ∈ {p ∈ P | 0 ≤ μ p}, p)‖ₑ
⊢ ∀ b ∈ {x ∈ P | μ x < 0}, MeasurableSet b
Module: Mathlib.MeasureTheory.VectorMeasure.Variation.Basic

Goal state before:
pp: X : Type u_1
mX : MeasurableSpace X
μ : SignedMeasure X
s : Set X
hs : MeasurableSet s
a : ℝ≥0∞
ha : a < (variation μ) s
P : Finset (Set X)
Ps : ∀ t ∈ P, t ⊆ s
P_disj : (↑P).PairwiseDisjoint id
P_meas : ∀ t ∈ P, MeasurableSet t
hP : a < ∑ p ∈ P, ‖μ p‖ₑ
I : ∑ p ∈ P with 0 ≤ μ p, ‖μ p‖ₑ = ‖μ (⋃ p ∈ {p ∈ P | 0 ≤ μ p}, p)‖ₑ
⊢ ↑({x ∈ P | μ x < 0}) ⊆ ↑P

Tactic:
by grind

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

Goal state before:
pp: case inr.inr.refine_1
𝓧 : Type u_1
m𝓧 : MeasurableSpace 𝓧
inst✝³ : PseudoMetricSpace 𝓧
inst✝² : OpensMeasurableSpace 𝓧
inst✝¹ : SecondCountableTopology 𝓧
S : Set (ProbabilityMeasure 𝓧)
inst✝ : CompleteSpace 𝓧
hcomp : IsCompact (closure[ProbabilityMeasure.instTopologicalSpace] S)
hnonempty : Nonempty 𝓧
D : ℕ → 𝓧
hD : DenseRange D
u : ℕ → ℝ
hu_anti : StrictAnti u
hu_pos : ∀ (n : ℕ), 0 < u n
hu : Tendsto u atTop (𝓝 0)
hcov : ∀ (m : ℕ), ⋃ i, ball (D i) (u m) = univ
ε : ℝ≥0∞
εpos : 0 < ε
hεbound : ε ≤ 1
km : ℕ → ℕ
hbound : ∀ (m : ℕ), ∀ μ ∈ S, 1 - ε * 2 ^ (-↑m) < ↑(μ (⋃ i, ⋃ (_ : i ≤ km m), ball (D i) (u m)))
bigK : Set 𝓧 :=
  ⋂ m, ⋃ i, ⋃ (_ : i ≤ km (m + 1)), closure[PseudoMetricSpace.toUniformSpace.toTopologicalSpace] (ball (D i) (u m))
bigcalc : ∀ μ ∈ S, ↑μ bigKᶜ ≤ ε
δ : ℝ
δpos : δ > 0
δ_inv : ℕ
hδ_inv : u δ_inv < δ
⊢ bigK ⊆ ⋃ y ∈ D '' Iic (km (δ_inv + 1)), ball y δ

Tactic:
simp only [mem_image, iUnion_exists, biUnion_and', iUnion_iUnion_eq_right, bigK]

Goal state after:
case inr.inr.refine_1
𝓧 : Type u_1
m𝓧 : MeasurableSpace 𝓧
inst✝³ : PseudoMetricSpace 𝓧
inst✝² : OpensMeasurableSpace 𝓧
inst✝¹ : SecondCountableTopology 𝓧
S : Set (ProbabilityMeasure 𝓧)
inst✝ : CompleteSpace 𝓧
hcomp : IsCompact (closure[ProbabilityMeasure.instTopologicalSpace] S)
hnonempty : Nonempty 𝓧
D : ℕ → 𝓧
hD : DenseRange D
u : ℕ → ℝ
hu_anti : StrictAnti u
hu_pos : ∀ (n : ℕ), 0 < u n
hu : Tendsto u atTop (𝓝 0)
hcov : ∀ (m : ℕ), ⋃ i, ball (D i) (u m) = univ
ε : ℝ≥0∞
εpos : 0 < ε
hεbound : ε ≤ 1
km : ℕ → ℕ
hbound : ∀ (m : ℕ), ∀ μ ∈ S, 1 - ε * 2 ^ (-↑m) < ↑(μ (⋃ i, ⋃ (_ : i ≤ km m), ball (D i) (u m)))
bigK : Set 𝓧 :=
  ⋂ m, ⋃ i, ⋃ (_ : i ≤ km (m + 1)), closure[PseudoMetricSpace.toUniformSpace.toTopologicalSpace] (ball (D i) (u m))
bigcalc : ∀ μ ∈ S, ↑μ bigKᶜ ≤ ε
δ : ℝ
δpos : δ > 0
δ_inv : ℕ
hδ_inv : u δ_inv < δ
⊢ ⋂ m, ⋃ i, ⋃ (_ : i ≤ km (m + 1)), closure[PseudoMetricSpace.toUniformSpace.toTopologicalSpace] (ball (D i) (u m)) ⊆
    ⋃ y ∈ Iic (km (δ_inv + 1)), ball (D y) δ
Module: Mathlib.MeasureTheory.VectorMeasure.Variation.Basic

Goal state before:
pp: X : Type u_1
mX : MeasurableSpace X
μ : SignedMeasure X
s : Set X
hs : MeasurableSet s
a : ℝ≥0∞
ha : a < (variation μ) s
P : Finset (Set X)
Ps : ∀ t ∈ P, t ⊆ s
P_disj : (↑P).PairwiseDisjoint id
P_meas : ∀ t ∈ P, MeasurableSet t
hP : a < ‖μ (⋃ p ∈ {p ∈ P | 0 ≤ μ p}, p)‖ₑ + ‖μ (⋃ p ∈ {p ∈ P | ¬0 ≤ μ p}, p)‖ₑ
I : ∑ p ∈ P with 0 ≤ μ p, ‖μ p‖ₑ = ‖μ (⋃ p ∈ {p ∈ P | 0 ≤ μ p}, p)‖ₑ
J : ∑ p ∈ P with ¬0 ≤ μ p, ‖μ p‖ₑ = ‖μ (⋃ p ∈ {p ∈ P | ¬0 ≤ μ p}, p)‖ₑ
h : ‖μ (⋃ p ∈ {p ∈ P | ¬0 ≤ μ p}, p)‖ₑ ≤ ‖μ (⋃ p ∈ {p ∈ P | 0 ≤ μ p}, p)‖ₑ
⊢ ∀ b ∈ {p ∈ P | 0 ≤ μ p}, MeasurableSet b

Tactic:
by grind

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

Goal state before:
pp: X : Type u_1
mX : MeasurableSpace X
μ : SignedMeasure X
s : Set X
hs : MeasurableSet s
a : ℝ≥0∞
ha : a < (variation μ) s
P : Finset (Set X)
Ps : ∀ t ∈ P, t ⊆ s
P_disj : (↑P).PairwiseDisjoint id
P_meas : ∀ t ∈ P, MeasurableSet t
hP : a < ‖μ (⋃ p ∈ {p ∈ P | 0 ≤ μ p}, p)‖ₑ + ‖μ (⋃ p ∈ {p ∈ P | ¬0 ≤ μ p}, p)‖ₑ
I : ∑ p ∈ P with 0 ≤ μ p, ‖μ p‖ₑ = ‖μ (⋃ p ∈ {p ∈ P | 0 ≤ μ p}, p)‖ₑ
J : ∑ p ∈ P with ¬0 ≤ μ p, ‖μ p‖ₑ = ‖μ (⋃ p ∈ {p ∈ P | ¬0 ≤ μ p}, p)‖ₑ
h : ‖μ (⋃ p ∈ {p ∈ P | 0 ≤ μ p}, p)‖ₑ ≤ ‖μ (⋃ p ∈ {p ∈ P | ¬0 ≤ μ p}, p)‖ₑ
⊢ ∀ b ∈ {p ∈ P | ¬0 ≤ μ p}, MeasurableSet b

Tactic:
by grind

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

Goal state before:
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
s t : Set X
inst✝² : NormedSpace ℝ E
inst✝¹ : NormedSpace ℝ F
inst✝ : NormedSpace ℝ G
B : E →L[ℝ] F →L[ℝ] G
hs : MeasurableSet s
ht : MeasurableSet t
hfs : μ.IntegrableOn f s
hts : t ⊆ s
⊢ Disjoint (s \ t) t

Tactic:
by grind

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

Goal state before:
pp: 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)
u v : α
huv : u ≤ v
⊢ v ∈ Icc u v

Tactic:
by grind

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

Goal state before:
pp: 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)
u v : α
huv : u ≤ v
⊢ u ∈ Icc u v

Tactic:
by grind

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

Goal state before:
pp: case e'_2.e'_12
X : Type u_2
E : Type u_3
F : Type u_4
G : Type u_5
mX : MeasurableSpace X
inst✝⁶ : NormedAddCommGroup E
inst✝⁵ : NormedAddCommGroup F
inst✝⁴ : NormedAddCommGroup G
μ : VectorMeasure X F
f : X → E
inst✝³ : NormedSpace ℝ E
inst✝² : NormedSpace ℝ F
inst✝¹ : NormedSpace ℝ G
B : E →L[ℝ] F →L[ℝ] G
ι : Type u_7
inst✝ : Fintype ι
s : ι → Set X
hs : ∀ (i : ι), MeasurableSet (s i)
h's : Pairwise (Disjoint on s)
hf : ∀ (i : ι), μ.IntegrableOn f (s i)
x✝ : ι
⊢ s x✝ = ⋃ (_ : x✝ ∈ Finset.univ), s x✝

pp: case convert_5
X : Type u_2
E : Type u_3
F : Type u_4
G : Type u_5
mX : MeasurableSpace X
inst✝⁶ : NormedAddCommGroup E
inst✝⁵ : NormedAddCommGroup F
inst✝⁴ : NormedAddCommGroup G
μ : VectorMeasure X F
f : X → E
inst✝³ : NormedSpace ℝ E
inst✝² : NormedSpace ℝ F
inst✝¹ : NormedSpace ℝ G
B : E →L[ℝ] F →L[ℝ] G
ι : Type u_7
inst✝ : Fintype ι
s : ι → Set X
hs : ∀ (i : ι), MeasurableSet (s i)
h's : Pairwise (Disjoint on s)
hf : ∀ (i : ι), μ.IntegrableOn f (s i)
⊢ (↑Finset.univ).Pairwise (Disjoint on s)

Tactic:
· simp

Goal state after:
case convert_5
X : Type u_2
E : Type u_3
F : Type u_4
G : Type u_5
mX : MeasurableSpace X
inst✝⁶ : NormedAddCommGroup E
inst✝⁵ : NormedAddCommGroup F
inst✝⁴ : NormedAddCommGroup G
μ : VectorMeasure X F
f : X → E
inst✝³ : NormedSpace ℝ E
inst✝² : NormedSpace ℝ F
inst✝¹ : NormedSpace ℝ G
B : E →L[ℝ] F →L[ℝ] G
ι : Type u_7
inst✝ : Fintype ι
s : ι → Set X
hs : ∀ (i : ι), MeasurableSet (s i)
h's : Pairwise (Disjoint on s)
hf : ∀ (i : ι), μ.IntegrableOn f (s i)
⊢ (↑Finset.univ).Pairwise (Disjoint on s)
Module: Mathlib.MeasureTheory.VectorMeasure.BoundedVariation

Goal state before:
pp: case inl
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
h : a ≤ a
⊢ hf.vectorMeasure (Ico a a) = Function.leftLim f a - Function.leftLim f a

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
a b : α
hf : BoundedVariationOn f univ
h : a ≤ b
h' : a < b
⊢ hf.vectorMeasure (Ico a b) = Function.leftLim f b - Function.leftLim f a

Tactic:
· simp

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
a b : α
hf : BoundedVariationOn f univ
h : a ≤ b
h' : a < b
⊢ hf.vectorMeasure (Ico a b) = Function.leftLim f b - Function.leftLim f a
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
inst✝ : IsFiniteMeasure μ
C : Set (Set α)
m : AddContent E C
hC : IsSetRing C
hCmeas : ∀ s ∈ C, MeasurableSet s
hm : ∀ s ∈ C, ‖m s‖ₑ ≤ μ s
h'C : ∀ (t : Set α) (ε : ℝ≥0∞), MeasurableSet t → 0 < ε → ∃ s ∈ C, μ (s ∆ t) < ε
C' : Set (MeasuredSets μ) := {s | ∃ c ∈ C, ↑s = c}
C'C : ∀ s ∈ C', ↑s ∈ C
C'_dense : Dense C'
m₀ : ↑C' → E := fun x ↦ m ↑↑x
lip : LipschitzWith 1 m₀
m₁ : MeasuredSets μ → E := C'_dense.extend m₀
m₁_lip : LipschitzWith 1 m₁
hBound : ∀ (s : MeasuredSets μ), ‖m₁ s‖ₑ ≤ μ ↑s
s t : MeasuredSets μ
h : Disjoint ↑s ↑t
ε : ℝ≥0∞
εpos : ε > 0
δ : ℝ≥0∞
δpos : 0 < δ
hδ : 8 * δ = ε
s' : Set α
s'C : s' ∈ C
hs' : μ (s' ∆ ↑s) < δ
t' : Set α
t'C : t' ∈ C
ht' : μ (t' ∆ ↑t) < δ
It : ‖m t' - m₁ t‖ₑ < δ
⊢ s' ∩ t' ⊆ ↑s ∩ ↑t ∪ s' ∆ ↑s ∪ t' ∆ ↑t

Tactic:
by grind

Goal state after:
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
⊢ μ.toSignedMeasure - ν.toSignedMeasure = (μ - ν).toSignedMeasure - (ν - μ).toSignedMeasure

Tactic:
have h₁ := toSignedMeasure_restrict_sub hs

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
⊢ μ.toSignedMeasure - ν.toSignedMeasure = (μ - ν).toSignedMeasure - (ν - μ).toSignedMeasure
Module: Mathlib.MeasureTheory.VectorMeasure.Variation.Semivariation

Goal state before:
pp: X : Type u_1
E : Type u_2
inst✝¹ : NormedAddCommGroup E
inst✝ : NormedSpace ℝ E
mX : MeasurableSpace X
μ : VectorMeasure X E
h : μ.semivariation univ = ∞
t : Set X → Set X
t_meas : ∀ (s : Set X), MeasurableSet s → μ.semivariation s = ∞ → MeasurableSet (t s)
t_subs : ∀ (s : Set X), MeasurableSet s → μ.semivariation s = ∞ → t s ⊆ s
t_var : ∀ (s : Set X), MeasurableSet s → μ.semivariation s = ∞ → μ.semivariation (t s) = ∞
ht : ∀ (s : Set X), MeasurableSet s → μ.semivariation s = ∞ → 1 ≤ ‖μ (s \ t s)‖ₑ
s : ℕ → Set X := fun n ↦ t^[n] univ
hs : ∀ (n : ℕ), MeasurableSet (s n) ∧ μ.semivariation (s n) = ∞
u : ℕ → Set X := fun n ↦ s n \ s (n + 1)
hu : ∀ (n : ℕ), 1 ≤ ‖μ (u n)‖ₑ
s_anti : Antitone s
m n : ℕ
hmn : m < n
this : Disjoint (u m) (s (m + 1))
⊢ m + 1 ≤ n

Tactic:
by grind

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

Goal state before:
pp: case inl
X : Type u_2
Y : Type u_3
E : Type u_4
F : Type u_5
G : Type u_6
mX : MeasurableSpace X
mY : MeasurableSpace Y
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
μ : VectorMeasure X E
ν : VectorMeasure Y F
B : E →L[ℝ] F →L[ℝ] G
h : μ.HasProd ν B
t : Set Y
⊢ (μ.prod ν B) (∅ ×ˢ t) = (B (μ ∅)) (ν t)

pp: case inr
X : Type u_2
Y : Type u_3
E : Type u_4
F : Type u_5
G : Type u_6
mX : MeasurableSpace X
mY : MeasurableSpace Y
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
μ : VectorMeasure X E
ν : VectorMeasure Y F
B : E →L[ℝ] F →L[ℝ] G
h : μ.HasProd ν B
s : Set X
t : Set Y
hs : s ≠ ∅
⊢ (μ.prod ν B) (s ×ˢ t) = (B (μ s)) (ν t)

Tactic:
· simp

Goal state after:
case inr
X : Type u_2
Y : Type u_3
E : Type u_4
F : Type u_5
G : Type u_6
mX : MeasurableSpace X
mY : MeasurableSpace Y
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
μ : VectorMeasure X E
ν : VectorMeasure Y F
B : E →L[ℝ] F →L[ℝ] G
h : μ.HasProd ν B
s : Set X
t : Set Y
hs : s ≠ ∅
⊢ (μ.prod ν B) (s ×ˢ t) = (B (μ s)) (ν t)
Module: Mathlib.MeasureTheory.VectorMeasure.Prod

Goal state before:
pp: case inr.inl
X : Type u_2
Y : Type u_3
E : Type u_4
F : Type u_5
G : Type u_6
mX : MeasurableSpace X
mY : MeasurableSpace Y
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
μ : VectorMeasure X E
ν : VectorMeasure Y F
B : E →L[ℝ] F →L[ℝ] G
h : μ.HasProd ν B
s : Set X
hs : s ≠ ∅
⊢ (μ.prod ν B) (s ×ˢ ∅) = (B (μ s)) (ν ∅)

pp: case inr.inr
X : Type u_2
Y : Type u_3
E : Type u_4
F : Type u_5
G : Type u_6
mX : MeasurableSpace X
mY : MeasurableSpace Y
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
μ : VectorMeasure X E
ν : VectorMeasure Y F
B : E →L[ℝ] F →L[ℝ] G
h : μ.HasProd ν B
s : Set X
t : Set Y
hs : s ≠ ∅
ht : t ≠ ∅
⊢ (μ.prod ν B) (s ×ˢ t) = (B (μ s)) (ν t)

Tactic:
· simp

Goal state after:
case inr.inr
X : Type u_2
Y : Type u_3
E : Type u_4
F : Type u_5
G : Type u_6
mX : MeasurableSpace X
mY : MeasurableSpace Y
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
μ : VectorMeasure X E
ν : VectorMeasure Y F
B : E →L[ℝ] F →L[ℝ] G
h : μ.HasProd ν B
s : Set X
t : Set Y
hs : s ≠ ∅
ht : t ≠ ∅
⊢ (μ.prod ν B) (s ×ˢ t) = (B (μ s)) (ν t)
Module: Mathlib.MeasureTheory.VectorMeasure.SetIntegral

Goal state before:
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
s : Set X
inst✝² : NormedSpace ℝ E
inst✝¹ : NormedSpace ℝ F
inst✝ : NormedSpace ℝ G
B : E →L[ℝ] F →L[ℝ] G
C : ℝ≥0∞
hC : ∀ᵐ (x : X) ∂μ.variation.restrict s, ‖f x‖ₑ ≤ C
⊢ ‖∫ᵛ (x : X) in s, f x ∂[B; μ]‖ₑ ≤ C * ‖B‖ₑ * μ.variation s

Tactic:
by
  by_cases hs : MeasurableSet s; swap
  · simp [setIntegral_eq_zero_of_not_measurableSet hs]
  rw [← variation_restrict hs] at hC
  apply (enorm_integral_le_of_enorm_le_const hC).trans
  rw [variation_restrict hs, Measure.restrict_apply MeasurableSet.univ]
  simp

Goal state after: