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

Goal state before:
pp: case 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 : 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
⊢ ∃ t ∈ ℬ, μ (s ∆ t) < ENNReal.ofReal ε

Tactic:
rcases restrict_compl_sigmaFiniteSet_eq_zero_or_top μ s with hs | hs

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
⊢ ∃ t ∈ ℬ, μ (s ∆ t) < ENNReal.ofReal ε

case refine_2.inr
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 = ∞
⊢ ∃ t ∈ ℬ, μ (s ∆ t) < ENNReal.ofReal ε
Module: Mathlib.MeasureTheory.Measure.SeparableMeasure

Goal state before:
pp: 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
⊢ μ ((μ.sigmaFiniteSetᶜ ∩ s) ∆ (μ.sigmaFiniteSetᶜ ∩ (t ∩ μ.sigmaFiniteSet))) ≤ ⊥

Tactic:
calc
            μ ((μ.sigmaFiniteSetᶜ ∩ s) ∆ (μ.sigmaFiniteSetᶜ ∩ (t ∩ μ.sigmaFiniteSet)))
              ≤ μ ((μ.sigmaFiniteSetᶜ ∩ s) ∪ (μ.sigmaFiniteSetᶜ ∩ (t ∩ μ.sigmaFiniteSet))) :=
                measure_mono symmDiff_subset_union
            _ ≤ μ (μ.sigmaFiniteSetᶜ ∩ s) + μ (μ.sigmaFiniteSetᶜ ∩ (t ∩ μ.sigmaFiniteSet)) :=
                measure_union_le _ _
            _ = 0 := by
                rw [inter_comm, ← μ.restrict_apply ms, hs, ← inter_assoc, inter_comm,
                  ← inter_assoc, inter_compl_self, empty_inter, measure_empty, zero_add]

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✝² : AddCommMonoid V
inst✝¹ : TopologicalSpace V
inst✝ : T2Space V
μ : VectorMeasure X V
s : Set X
hs : MeasurableSet s
P : Finpartition ⟨s, hs⟩
⊢ ∑ p ∈ P.parts, μ ↑p = μ s

Tactic:
← μ.of_biUnion_finset (P.pairwiseDisjoint_apply (fun _ _ => rfl) rfl) (fun p _ => p.prop),

Goal state after:
X : Type u_1
V : Type u_2
mX : MeasurableSpace X
inst✝² : AddCommMonoid V
inst✝¹ : TopologicalSpace V
inst✝ : T2Space V
μ : VectorMeasure X V
s : Set X
hs : MeasurableSet s
P : Finpartition ⟨s, hs⟩
⊢ μ (⋃ b ∈ P.parts, ↑b) = μ s
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 ν : VectorMeasure X V
⊢ (μ + -ν).variation ≤ μ.variation + ν.variation

Tactic:
variation_add_le,

Goal state after:
X : Type u_1
V : Type u_2
mX : MeasurableSpace X
inst✝ : NormedAddCommGroup V
μ ν : VectorMeasure X V
⊢ μ.variation + (-ν).variation ≤ μ.variation + ν.variation
Module: Mathlib.MeasureTheory.Measure.Prokhorov

Goal state before:
pp: case inr.inr
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
⊢ ∃ K, IsCompact K ∧ ∀ μ ∈ {x | ∃ μ ∈ S, ↑μ = x}, μ Kᶜ ≤ ε

Tactic:
refine ⟨bigK, ?_, by simpa⟩

Goal state after:
case inr.inr
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
⊢ IsCompact bigK
Module: Mathlib.MeasureTheory.VectorMeasure.Variation.Basic

Goal state before:
pp: X : Type u_1
mX : MeasurableSpace X
μ : VectorMeasure X ℝ≥0∞
s : Set X
⊢ preVariationFun (⇑μ) s = μ s

Tactic:
by_cases h : MeasurableSet s

Goal state after:
case pos
X : Type u_1
mX : MeasurableSpace X
μ : VectorMeasure X ℝ≥0∞
s : Set X
h : MeasurableSet s
⊢ preVariationFun (⇑μ) s = μ s

case neg
X : Type u_1
mX : MeasurableSpace X
μ : VectorMeasure X ℝ≥0∞
s : Set X
h : ¬MeasurableSet s
⊢ preVariationFun (⇑μ) s = μ s
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
a : α
hf : BoundedVariationOn f univ
ha : IsBot a
h : ∃ x, IsBot x
heqa : h.choose = a
⊢ ⋯.choose botSet = 0

Tactic:
exact hf.exists_vectorMeasure_le_measureAux.choose_spec.2.1

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
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
this : m₁ ⟨t', ⋯⟩ = m t'
⊢ ‖m t' - m₁ t‖ₑ < δ

Tactic:
← this,

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
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
this : m₁ ⟨t', ⋯⟩ = m t'
⊢ ‖m₁ ⟨t', ⋯⟩ - m₁ t‖ₑ < δ
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
a : α
this✝ : Nonempty α
hlim : Tendsto f atTop (𝓝 (atTop.limUnder f))
u : ℕ → α
u_mono : Monotone u
hu : Tendsto u atTop atTop
A : Tendsto (fun n ↦ hf.vectorMeasure (Icc a (u n))) atTop (𝓝 (hf.vectorMeasure (Ici a)))
this : ∀ᶠ (n : ℕ) in atTop, a ≤ u n
n : ℕ
hn : a ≤ u n
⊢ Function.rightLim f (u n) - Function.leftLim f a = hf.vectorMeasure (Icc a (u n))

Tactic:
rw [hf.vectorMeasure_Icc hn]

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
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
hμ' : μ (s' ∩ t') < 2 * δ
s'' : Set α := s' \ t'
s''C : s'' ∈ C
hs'' : μ (s'' ∆ ↑s) < 3 * δ
this : m₁ ⟨s'', ⋯⟩ = m s''
⊢ ‖m s'' - m₁ s‖ₑ < 3 * δ

Tactic:
← this,

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
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
hμ' : μ (s' ∩ t') < 2 * δ
s'' : Set α := s' \ t'
s''C : s'' ∈ C
hs'' : μ (s'' ∆ ↑s) < 3 * δ
this : m₁ ⟨s'', ⋯⟩ = m s''
⊢ ‖m₁ ⟨s'', ⋯⟩ - m₁ s‖ₑ < 3 * δ
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
hμ' : μ (s' ∩ t') < 2 * δ
s'' : Set α := s' \ t'
s''C : s'' ∈ C
hs'' : μ (s'' ∆ ↑s) < 3 * δ
⊢ ‖m₁ ⟨↑s ∪ ↑t, ⋯⟩ - m₁ s - m₁ t‖ₑ < ε

Tactic:
have Is : ‖m s'' - m₁ s‖ₑ < 3 * δ := by
      have : m₁ ⟨s'', hCmeas _ s''C⟩ = m s'' :=
        C'_dense.extend_eq lip.continuous ⟨⟨s'', hCmeas _ s''C⟩, ⟨s'', s''C, rfl⟩⟩
      rw [← this, ← edist_eq_enorm_sub]
      apply (m₁_lip _ _).trans_lt
      simp only [ENNReal.coe_one, MeasuredSets.edist_def, one_mul]
      exact hs''

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
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
hμ' : μ (s' ∩ t') < 2 * δ
s'' : Set α := s' \ t'
s''C : s'' ∈ C
hs'' : μ (s'' ∆ ↑s) < 3 * δ
Is : ‖m s'' - m₁ s‖ₑ < 3 * δ
⊢ ‖m₁ ⟨↑s ∪ ↑t, ⋯⟩ - m₁ s - m₁ t‖ₑ < ε
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
a : α
this✝ : Nonempty α
hlim : Tendsto f atBot (𝓝 (atBot.limUnder f))
u : ℕ → α
u_anti : Antitone u
hu : Tendsto u atTop atBot
A : Tendsto (fun n ↦ hf.vectorMeasure (Icc (u n) a)) atTop (𝓝 (hf.vectorMeasure (Iic a)))
this : ∀ᶠ (n : ℕ) in atTop, u n ≤ a
n : ℕ
hn : u n ≤ a
⊢ Function.rightLim f a - Function.leftLim f (u n) = hf.vectorMeasure (Icc (u n) a)

Tactic:
rw [hf.vectorMeasure_Icc hn]

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
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
hμ' : μ (s' ∩ t') < 2 * δ
s'' : Set α := s' \ t'
s''C : s'' ∈ C
hs'' : μ (s'' ∆ ↑s) < 3 * δ
Is : ‖m s'' - m₁ s‖ₑ < 3 * δ
s''t'C : s'' ∪ t' ∈ C
this : m₁ ⟨s'' ∪ t', ⋯⟩ = m (s'' ∪ t')
⊢ ‖m (s'' ∪ t') - m₁ ⟨↑s ∪ ↑t, ⋯⟩‖ₑ < 4 * δ

Tactic:
← this,

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
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
hμ' : μ (s' ∩ t') < 2 * δ
s'' : Set α := s' \ t'
s''C : s'' ∈ C
hs'' : μ (s'' ∆ ↑s) < 3 * δ
Is : ‖m s'' - m₁ s‖ₑ < 3 * δ
s''t'C : s'' ∪ t' ∈ C
this : m₁ ⟨s'' ∪ t', ⋯⟩ = m (s'' ∪ t')
⊢ ‖m₁ ⟨s'' ∪ t', ⋯⟩ - m₁ ⟨↑s ∪ ↑t, ⋯⟩‖ₑ < 4 * δ
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
hs : MeasurableSet s
h : ∀ᵐ (x : X) ∂μ.variation, x ∉ s → f x = 0
⊢ ∀ᵐ (x : X) ∂μ.variation, x ∈ univ \ s → f x = 0

Tactic:
filter_upwards [h] with x hx h'x using hx h'x.2

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
inst✝ : IsFiniteMeasure μ
C : Set (Set α)
m : AddContent E C
hC : IsSetSemiring C
hm : ∀ s ∈ C, ‖m s‖ₑ ≤ μ s
h'C : hα = generateFrom C
M : ∀ s ∈ C, MeasurableSet s
D : Set (Set α)
DC : D ⊆ C
D_count : D.Countable
hD : ∀ s ∈ C, s ≤ᵐ[μ] ⋃₀ D
MD : MeasurableSet (⋃₀ D)
⊢ ∃ m', (∀ s ∈ C, m' s = m s) ∧ ∀ (s : Set α), ‖m' s‖ₑ ≤ μ s

Tactic:
let μ' := μ.restrict (⋃₀ D)

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
inst✝ : IsFiniteMeasure μ
C : Set (Set α)
m : AddContent E C
hC : IsSetSemiring C
hm : ∀ s ∈ C, ‖m s‖ₑ ≤ μ s
h'C : hα = generateFrom C
M : ∀ s ∈ C, MeasurableSet s
D : Set (Set α)
DC : D ⊆ C
D_count : D.Countable
hD : ∀ s ∈ C, s ≤ᵐ[μ] ⋃₀ D
MD : MeasurableSet (⋃₀ D)
μ' : Measure α := μ.restrict (⋃₀ D)
⊢ ∃ m', (∀ s ∈ C, m' s = m s) ∧ ∀ (s : Set α), ‖m' s‖ₑ ≤ μ s
Module: Mathlib.MeasureTheory.VectorMeasure.Prod

Goal state before:
pp: case basic
X : Type u_2
Y : Type u_3
F : Type u_5
mX : MeasurableSpace X
mY : MeasurableSpace Y
inst✝ : NormedAddCommGroup F
ν : VectorMeasure Y F
s✝ : Set (X × Y)
s : Set X
hs : s ∈ {s | MeasurableSet s}
t : Set Y
⊢ StronglyMeasurable fun x ↦ ν (Prod.mk x ⁻¹' (fun x1 x2 ↦ x1 ×ˢ x2) s t)

Tactic:
classical
    simpa [mk_preimage_prod_right_eq_if, of_if] using stronglyMeasurable_const.indicator hs

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

Goal state before:
pp: α : Type u_1
hα : MeasurableSpace α
E : Type u_2
inst✝³ : NormedAddCommGroup E
inst✝² : CompleteSpace E
μ : Measure α
inst✝¹ : NormedSpace ℝ E
inst✝ : IsFiniteMeasure μ
C : Set (Set α)
m : AddContent E C
hC : IsSetSemiring C
hm : ∀ s ∈ C, ‖m s‖ₑ ≤ μ s
h'C : ∀ s ∈ C, MeasurableSet s
M : MeasurableSpace α := generateFrom C
Mle : M ≤ hα
μ' : Measure α := μ.trim Mle
hμ' : μ' = μ.trim Mle
m' : VectorMeasure α E
m'C : ∀ s ∈ C, m' s = m s
hm' : ∀ (s : Set α), ‖m' s‖ₑ ≤ μ' s
m'_le : m'.variation ≤ μ'
this✝ : MeasurableSpace α := hα
f : ℕ → Set α
f_meas : ∀ (i : ℕ), MeasurableSet (f i)
hf : Pairwise (Function.onFun Disjoint f)
this :
  ∫ᵛ (x : α), μ[fun x ↦ ∑' (d : ℕ), (f d).indicator 1 x | M] x ∂•m' =
    ∫ᵛ (x : α), ∑' (d : ℕ), μ[(f d).indicator 1 | M] x ∂•m'
A : ∀ (i : ℕ), ∫⁻ (a : α), ‖μ[(f i).indicator 1 | M] a‖ₑ ∂μ = μ (f i)
⊢ μ (⋃ i, f i) < ∞

Tactic:
exact measure_lt_top _ _

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

Goal state before:
pp: case a
X : Type u_1
mX : MeasurableSpace X
μ : SignedMeasure X
r : Set X
hr : MeasurableSet r
⊢ μ.totalVariation r ≤ (VectorMeasure.variation μ) r

pp: case a
X : Type u_1
mX : MeasurableSpace X
μ : SignedMeasure X
r : Set X
hr : MeasurableSet r
⊢ (VectorMeasure.variation μ) r ≤ μ.totalVariation r

Tactic:
· obtain ⟨s, hs, hpos, hneg, hposPart, hnegPart⟩ := μ.toJordanDecomposition_spec
    calc μ.totalVariation r
      _ = ‖μ (s ∩ r)‖ₑ + ‖μ (sᶜ ∩ r)‖ₑ := by
          rw [totalVariation, Measure.add_apply, hposPart, hnegPart,
            μ.toMeasureOfZeroLE_apply_eq_enorm hs hpos hr,
            μ.toMeasureOfLEZero_apply_eq_enorm hs.compl hneg hr]
      _ ≤ μ.variation (s ∩ r) + μ.variation (sᶜ ∩ r) :=
          add_le_add (μ.enorm_measure_le_variation _) (μ.enorm_measure_le_variation _)
      _ = μ.variation ((s ∩ r) ∪ (sᶜ ∩ r)) :=
        (measure_union (by grind) (hs.compl.inter hr)).symm
      _ = μ.variation r := by congr; grind

Goal state after:
case a
X : Type u_1
mX : MeasurableSpace X
μ : SignedMeasure X
r : Set X
hr : MeasurableSet r
⊢ (VectorMeasure.variation μ) r ≤ μ.totalVariation r
Module: Mathlib.MeasureTheory.VectorMeasure.AddContent

Goal state before:
pp: case pos
α : Type u_1
hα : MeasurableSpace α
E : Type u_2
inst✝³ : NormedAddCommGroup E
inst✝² : CompleteSpace E
μ : Measure α
inst✝¹ : NormedSpace ℝ E
inst✝ : IsFiniteMeasure μ
C : Set (Set α)
m : AddContent E C
hC : IsSetSemiring C
hm : ∀ s ∈ C, ‖m s‖ₑ ≤ μ s
h'C : ∀ s ∈ C, MeasurableSet s
M : MeasurableSpace α := generateFrom C
Mle : M ≤ hα
μ' : Measure α := μ.trim Mle
hμ' : μ' = μ.trim Mle
m' : VectorMeasure α E
m'C : ∀ s ∈ C, m' s = m s
hm' : ∀ (s : Set α), ‖m' s‖ₑ ≤ μ' s
m'_le : m'.variation ≤ μ'
this : MeasurableSpace α := hα
m'' : VectorMeasure α E :=
  { measureOf' := fun s ↦ if MeasurableSet s then ∫ᵛ (x : α), μ[s.indicator 1 | M] x ∂•m' else 0, empty' := ⋯,
    not_measurable' := ⋯, m_iUnion' := ⋯ }
s : Set α
hs : MeasurableSet s
⊢ ‖∫ᵛ (x : α), μ[s.indicator 1 | M] x ∂•m'‖ₑ ≤ μ s

Tactic:
grw [enorm_integral_le_lintegral_enorm, ContinuousLinearMap.opENorm_lsmul_le, one_mul,
      lintegral_mono' m'_le le_rfl, hμ', lintegral_trim _ (by fun_prop),
      lintegral_enorm_condExp_indicator Mle hs]

Goal state after:
Module: Mathlib.ModelTheory.Arithmetic.Presburger.Basic

Goal state before:
pp: α : Type u_1
M : Type u_2
v : α → M
inst✝ : AddCommMonoidWithOne M
β : Type u_3
s : Finset β
f : β → presburger.Term α
⊢ Term.realize v (sum s f) = ∑ i ∈ s, Term.realize v (f i)

Tactic:
simp only [sum]
  conv => rhs; rw [← s.toList_toFinset, List.sum_toFinset _ s.nodup_toList]
  generalize s.toList = l
  induction l with simp [*]

Goal state after:
Module: Mathlib.ModelTheory.Arithmetic.Presburger.Semilinear.Defs

Goal state before:
pp: M : Type u_1
inst✝ : AddCommMonoid M
a : M
S : Set (Set M)
hS : S.Finite
hS' : ∀ t ∈ S, IsLinearSet t
⊢ IsSemilinearSet (a +ᵥ ⋃₀ S)

Tactic:
vadd_set_sUnion

Goal state after:
M : Type u_1
inst✝ : AddCommMonoid M
a : M
S : Set (Set M)
hS : S.Finite
hS' : ∀ t ∈ S, IsLinearSet t
⊢ IsSemilinearSet (⋃ s ∈ S, a +ᵥ s)