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

Goal state before:
pp: case hbc.refine_3
μ : Measure ℝ
r : ℝ
inst✝ : IsProbabilityMeasure μ
hr : 0 < r
integrable_sinc_const_mul : ∀ (r : ℝ), Integrable (fun x ↦ sinc (r * x)) μ
x : ℝ
hx : x ∈ {x | 2 < |2 * r⁻¹ * x|}
hx_ne : 2 * r⁻¹ * x ≠ 0
⊢ 2⁻¹ ≤ 1 - sinc (2 * r⁻¹ * x)

Tactic:
le_sub_iff_add_le,

Goal state after:
case hbc.refine_3
μ : Measure ℝ
r : ℝ
inst✝ : IsProbabilityMeasure μ
hr : 0 < r
integrable_sinc_const_mul : ∀ (r : ℝ), Integrable (fun x ↦ sinc (r * x)) μ
x : ℝ
hx : x ∈ {x | 2 < |2 * r⁻¹ * x|}
hx_ne : 2 * r⁻¹ * x ≠ 0
⊢ 2⁻¹ + sinc (2 * r⁻¹ * x) ≤ 1
Module: Mathlib.MeasureTheory.Measure.MeasuredSets

Goal state before:
pp: α : Type u_1
mα : MeasurableSpace α
μ : Measure α
inst✝ : IsFiniteMeasure μ
C : Set (Set α)
hC : IsSetRing C
h'C : ∃ D, D.Countable ∧ D ⊆ C ∧ μ (⋃₀ D)ᶜ = 0
h : mα = generateFrom C
s✝ : Set α
hs✝ : MeasurableSet s✝
ε✝ : ℝ≥0∞
hε : 0 < ε✝
s : Set α
hs : MeasurableSet s
h's : ∀ (ε : ℝ≥0∞), 0 < ε → ∃ t ∈ C, μ (t ∆ s) < ε
ε : ℝ≥0∞
εpos : 0 < ε
⊢ ∃ t ∈ C, μ (t ∆ sᶜ) < ε

Tactic:
obtain ⟨t, tC, ht⟩ : ∃ t ∈ C, μ (t ∆ s) < ε / 2 := h's _ (ENNReal.half_pos εpos.ne')

Goal state after:
α : Type u_1
mα : MeasurableSpace α
μ : Measure α
inst✝ : IsFiniteMeasure μ
C : Set (Set α)
hC : IsSetRing C
h'C : ∃ D, D.Countable ∧ D ⊆ C ∧ μ (⋃₀ D)ᶜ = 0
h : mα = generateFrom C
s✝ : Set α
hs✝ : MeasurableSet s✝
ε✝ : ℝ≥0∞
hε : 0 < ε✝
s : Set α
hs : MeasurableSet s
h's : ∀ (ε : ℝ≥0∞), 0 < ε → ∃ t ∈ C, μ (t ∆ s) < ε
ε : ℝ≥0∞
εpos : 0 < ε
t : Set α
tC : t ∈ C
ht : μ (t ∆ s) < ε / 2
⊢ ∃ t ∈ C, μ (t ∆ sᶜ) < ε
Module: Mathlib.MeasureTheory.Measure.Prokhorov

Goal state before:
pp: case refine_1
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
hu : Tendsto u atTop (𝓝 0)
hK : ∀ (n : ℕ), IsCompact (K n)
h : NormalSpace E ∨ Monotone K
ν : ProbabilityMeasure E
hν : ∀ (n : ℕ), ν (K n)ᶜ ≤ u n
⊢ ν.toFiniteMeasure.mass = 1 ∧ ∀ (n : ℕ), ν.toFiniteMeasure (K n)ᶜ ≤ u n

Tactic:
simpa using! hν

Goal state after:
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))
⊢ (μ (⋃ n ∈ Finset.range (N + 1), f n ∆ g n)).toReal ≤ (∑ a ∈ Finset.range (N + 1), μ (f a ∆ g a)).toReal

Tactic:
exact toReal_mono (ne_of_lt <| sum_lt_top.2 fun _ _ ↦ measure_lt_top μ _)
                            (measure_biUnion_finset_le _ _)

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

Goal state before:
pp: case refine_2.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 : 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}
a : E
s : Set X
ms : MeasurableSet s
hμs✝ : μ s < ∞
hμs : μ s ≠ ∞
ε : ℝ
ε_pos : 0 < ε
μs_pow_nonneg : 0 ≤ μ.real s ^ (1 / p.toReal)
approx_a_pos : 0 < ε / (3 * (1 + μ.real s ^ (1 / p.toReal)))
b : E
b_mem : b ∈ u
hb : ‖a - b‖ < ε / (3 * (1 + μ.real s ^ (1 / p.toReal)))
t : Set X
ht : t ∈ 𝒜₀
hμt : μ t ≠ ∞
hst : ‖indicatorConstLp p ms hμs b - indicatorConstLp p ⋯ hμt b‖ < ε / 3
mt : MeasurableSet t
⊢ ‖↑(simpleFunc.indicatorConst p ms ⋯ a) - indicatorConstLp p mt hμt b‖ < ε

Tactic:
Lp.simpleFunc.coe_indicatorConst,

Goal state after:
case refine_2.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 : 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}
a : E
s : Set X
ms : MeasurableSet s
hμs✝ : μ s < ∞
hμs : μ s ≠ ∞
ε : ℝ
ε_pos : 0 < ε
μs_pow_nonneg : 0 ≤ μ.real s ^ (1 / p.toReal)
approx_a_pos : 0 < ε / (3 * (1 + μ.real s ^ (1 / p.toReal)))
b : E
b_mem : b ∈ u
hb : ‖a - b‖ < ε / (3 * (1 + μ.real s ^ (1 / p.toReal)))
t : Set X
ht : t ∈ 𝒜₀
hμt : μ t ≠ ∞
hst : ‖indicatorConstLp p ms hμs b - indicatorConstLp p ⋯ hμt b‖ < ε / 3
mt : MeasurableSet t
⊢ ‖indicatorConstLp p ms ⋯ a - indicatorConstLp p mt hμt b‖ < ε
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
⊢ ∫ᵛ (x : X) in s \ t, f x ∂[B; μ] + ∫ᵛ (x : X) in t, f x ∂[B; μ] = ∫ᵛ (x : X) in s, f x ∂[B; μ]

Tactic:
← setIntegral_union (by grind) (hs.diff ht) ht (hfs.mono hs sdiff_subset)
    (hfs.mono hs hts),

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
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
⊢ ∫ᵛ (x : X) in s \ t ∪ t, f x ∂[B; μ] = ∫ᵛ (x : X) in s, f x ∂[B; μ]
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
this : ∀ ε > 0, ‖m₁ ⟨↑s ∪ ↑t, ⋯⟩ - m₁ s - m₁ t‖ₑ < ε
⊢ m₁ ⟨↑s ∪ ↑t, ⋯⟩ = m₁ s + m₁ t

Tactic:
rw [← sub_eq_zero, ← enorm_eq_zero, sub_add_eq_sub_sub]

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
this : ∀ ε > 0, ‖m₁ ⟨↑s ∪ ↑t, ⋯⟩ - m₁ s - m₁ t‖ₑ < ε
⊢ ‖m₁ ⟨↑s ∪ ↑t, ⋯⟩ - m₁ s - m₁ t‖ₑ = 0
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✝⁶ : NormedAddCommGroup E
inst✝⁵ : NormedAddCommGroup F
inst✝⁴ : NormedAddCommGroup G
μ : VectorMeasure X F
f g : X → E
s : Set X
inst✝³ : NormedSpace ℝ E
inst✝² : NormedSpace ℝ F
inst✝¹ : NormedSpace ℝ G
B : E →L[ℝ] F →L[ℝ] G
inst✝ : DecidablePred fun x ↦ x ∈ s
hs : MeasurableSet s
hf : μ.IntegrableOn f s
hg : μ.IntegrableOn g sᶜ
⊢ ∫ᵛ (x : X), (s.indicator f + sᶜ.indicator g) x ∂[B; μ] = ∫ᵛ (x : X) in s, f x ∂[B; μ] + ∫ᵛ (x : X) in sᶜ, g x ∂[B; μ]

Tactic:
integral_add (hf.integrable_indicator hs) (hg.integrable_indicator hs.compl),

Goal state after:
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 g : X → E
s : Set X
inst✝³ : NormedSpace ℝ E
inst✝² : NormedSpace ℝ F
inst✝¹ : NormedSpace ℝ G
B : E →L[ℝ] F →L[ℝ] G
inst✝ : DecidablePred fun x ↦ x ∈ s
hs : MeasurableSet s
hf : μ.IntegrableOn f s
hg : μ.IntegrableOn g sᶜ
⊢ ∫ᵛ (x : X), s.indicator f x ∂[B; μ] + ∫ᵛ (x : X), sᶜ.indicator g x ∂[B; μ] =
    ∫ᵛ (x : X) in s, f x ∂[B; μ] + ∫ᵛ (x : X) in sᶜ, g x ∂[B; μ]
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)))
⊢ Tendsto (fun n ↦ hf.vectorMeasure (Icc a (u n))) atTop (𝓝 (atTop.limUnder f - Function.leftLim f a))

Tactic:
have : (fun n ↦ f.rightLim (u n) - f.leftLim a) =ᶠ[atTop]
        (fun n ↦ hf.vectorMeasure (Icc a (u n))) := by
      have : ∀ᶠ n in atTop, a ≤ u n := by
        simp only [tendsto_atTop, eventually_atTop] at hu
        simp [hu]
      filter_upwards [this] with n hn using by rw [hf.vectorMeasure_Icc hn]

Goal state after:
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 : (fun n ↦ Function.rightLim f (u n) - Function.leftLim f a) =ᶠ[atTop] fun n ↦ hf.vectorMeasure (Icc a (u n))
⊢ Tendsto (fun n ↦ hf.vectorMeasure (Icc a (u n))) atTop (𝓝 (atTop.limUnder f - 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
hμ' : μ (s' ∩ t') < 2 * δ
s'' : Set α := s' \ t'
s''C : s'' ∈ C
hs'' : μ (s'' ∆ ↑s) < 3 * δ
⊢ ‖m s'' - m₁ s‖ₑ < 3 * δ

Tactic:
have : m₁ ⟨s'', hCmeas _ s''C⟩ = m s'' :=
        C'_dense.extend_eq lip.continuous ⟨⟨s'', hCmeas _ s''C⟩, ⟨s'', s''C, rfl⟩⟩

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''
⊢ ‖m s'' - m₁ s‖ₑ < 3 * δ
Module: Mathlib.MeasureTheory.VectorMeasure.AddContent

Goal state before:
pp: case pos
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
hAddit : ∀ (s t : MeasuredSets μ), Disjoint ↑s ↑t → m₁ ⟨↑s ∪ ↑t, ⋯⟩ = m₁ s + m₁ t
m' : Set α → E := fun s ↦ if hs : MeasurableSet s then m₁ ⟨s, hs⟩ else 0
m'' : VectorMeasure α E := of_additive_of_le_measure m' ⋯ ⋯ ⋯
s : Set α
hs : MeasurableSet s
⊢ ‖m' s‖ₑ ≤ μ s

pp: case neg
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
hAddit : ∀ (s t : MeasuredSets μ), Disjoint ↑s ↑t → m₁ ⟨↑s ∪ ↑t, ⋯⟩ = m₁ s + m₁ t
m' : Set α → E := fun s ↦ if hs : MeasurableSet s then m₁ ⟨s, hs⟩ else 0
m'' : VectorMeasure α E := of_additive_of_le_measure m' ⋯ ⋯ ⋯
s : Set α
hs : ¬MeasurableSet s
⊢ ‖m' s‖ₑ ≤ μ s

Tactic:
· simp only [hs, ↓reduceDIte, m']
      exact hBound ⟨s, hs⟩

Goal state after:
case neg
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
hAddit : ∀ (s t : MeasuredSets μ), Disjoint ↑s ↑t → m₁ ⟨↑s ∪ ↑t, ⋯⟩ = m₁ s + m₁ t
m' : Set α → E := fun s ↦ if hs : MeasurableSet s then m₁ ⟨s, hs⟩ else 0
m'' : VectorMeasure α E := of_additive_of_le_measure m' ⋯ ⋯ ⋯
s : Set α
hs : ¬MeasurableSet s
⊢ ‖m' s‖ₑ ≤ μ s
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
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 ∈ supClosure C, μ (s ∆ t) < ε
m₀ : AddContent E (supClosure C) := m.supClosure hC
hm₀ : m₀ = m.supClosure hC
s : Set α
P : Finpartition s
PC : ↑P.parts ⊆ C
⊢ ‖∑ s ∈ P.parts, m s‖ₑ ≤ μ (P.parts.sup id)

Tactic:
Finset.sup_set_eq_biUnion,

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
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 ∈ supClosure C, μ (s ∆ t) < ε
m₀ : AddContent E (supClosure C) := m.supClosure hC
hm₀ : m₀ = m.supClosure hC
s : Set α
P : Finpartition s
PC : ↑P.parts ⊆ C
⊢ ‖∑ s ∈ P.parts, m s‖ₑ ≤ μ (⋃ x ∈ P.parts, id x)
Module: Mathlib.MeasureTheory.VectorMeasure.SetIntegral

Goal state before:
pp: case h_ae
X : Type u_2
E : Type u_3
F : Type u_4
G : Type u_5
H : Type u_6
mX : MeasurableSpace X
inst✝⁹ : NormedAddCommGroup E
inst✝⁸ : NormedAddCommGroup F
inst✝⁷ : NormedAddCommGroup G
inst✝⁶ : NormedAddCommGroup H
μ : VectorMeasure X F
f : X → E
inst✝⁵ : NormedSpace ℝ E
inst✝⁴ : NormedSpace ℝ F
inst✝³ : NormedSpace ℝ G
inst✝² : NormedSpace ℝ H
B : E →L[ℝ] F →L[ℝ] G
inst✝¹ : CompleteSpace G
inst✝ : CompleteSpace H
C : G →L[ℝ] H
hf : Integrable f μ.variation
⊢ ∀ ⦃f g : X → E⦄,
    f =ᵐ[μ.variation] g →
      Integrable f μ.variation →
        C ∫ᵛ (y : X), f y ∂[B; μ] = ∫ᵛ (y : X), f y ∂[(compL ℝ F G H) C ∘SL B; μ] →
          C ∫ᵛ (y : X), g y ∂[B; μ] = ∫ᵛ (y : X), g y ∂[(compL ℝ F G H) C ∘SL B; μ]

Tactic:
intro f g hfg _ hf
    rw [← integral_congr_ae hfg, ← integral_congr_ae hfg, hf]

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

Goal state before:
pp: X : Type u_2
Y : Type u_3
E : Type u_4
F : Type u_5
mX : MeasurableSpace X
mY : MeasurableSpace Y
inst✝³ : NormedAddCommGroup E
inst✝² : NormedAddCommGroup F
inst✝¹ : NormedSpace ℝ F
μ : VectorMeasure X E
ν : VectorMeasure Y F
inst✝ : IsFiniteMeasure μ.variation
s : Set (X × Y)
hs : MeasurableSet s
⊢ μ.Integrable fun x ↦ ν (Prod.mk x ⁻¹' s)

Tactic:
by
  refine Integrable.of_bound (μ := μ.variation) ?_ ν.bound ?_
  · exact (stronglyMeasurable_vectorMeasure_prodMk_left hs).aestronglyMeasurable
  · exact Eventually.of_forall (fun x ↦ norm_apply_le_bound)

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

Goal state before:
pp: case insert
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
ι : Type u_8
μ : ι → VectorMeasure X F
a : ι
s : Finset ι
ha : a ∉ s
ih : (∀ i ∈ s, (μ i).Integrable f) → (∑ i ∈ s, μ i).Integrable f
h : ∀ i ∈ insert a s, (μ i).Integrable f
⊢ (∑ i ∈ insert a s, μ i).Integrable f

Tactic:
simp only [Finset.mem_insert, forall_eq_or_imp, ha, not_false_eq_true,
        Finset.sum_insert] at h ⊢

Goal state after:
case insert
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
ι : Type u_8
μ : ι → VectorMeasure X F
a : ι
s : Finset ι
ha : a ∉ s
ih : (∀ i ∈ s, (μ i).Integrable f) → (∑ i ∈ s, μ i).Integrable f
h : (μ a).Integrable f ∧ ∀ a ∈ s, (μ a).Integrable f
⊢ (μ a + ∑ i ∈ s, μ i).Integrable f
Module: Mathlib.ModelTheory.FinitelyGenerated

Goal state before:
pp: L : Language
M : Type u_1
inst✝¹ : L.Structure M
N : Type u_2
inst✝ : L.Structure N
f : M ↪[L] N
s : L.Substructure M
t : Finset N
h : (closure L).toFun ↑t = Substructure.map f.toHom s
⊢ (closure L).toFun (⇑f ⁻¹' ↑t) = s

Tactic:
have hf : Function.Injective f.toHom := f.injective

Goal state after:
L : Language
M : Type u_1
inst✝¹ : L.Structure M
N : Type u_2
inst✝ : L.Structure N
f : M ↪[L] N
s : L.Substructure M
t : Finset N
h : (closure L).toFun ↑t = Substructure.map f.toHom s
hf : Function.Injective ⇑f.toHom
⊢ (closure L).toFun (⇑f ⁻¹' ↑t) = s
Module: Mathlib.ModelTheory.FinitelyGenerated

Goal state before:
pp: L : Language
M : Type u_1
inst✝¹ : L.Structure M
N : Type u_2
inst✝ : L.Structure N
f : M ↪[L] N
s : L.Substructure M
t : Set N
h1 : t.Countable
h2 : (closure L).toFun t = Substructure.map f.toHom s
⊢ (closure L).toFun (⇑f ⁻¹' t) = s

Tactic:
have hf : Function.Injective f.toHom := f.injective

Goal state after:
L : Language
M : Type u_1
inst✝¹ : L.Structure M
N : Type u_2
inst✝ : L.Structure N
f : M ↪[L] N
s : L.Substructure M
t : Set N
h1 : t.Countable
h2 : (closure L).toFun t = Substructure.map f.toHom s
hf : Function.Injective ⇑f.toHom
⊢ (closure L).toFun (⇑f ⁻¹' t) = s
Module: Mathlib.MeasureTheory.VectorMeasure.WithDensityVec

Goal state before:
pp: X : Type u_1
E : Type u_2
F : Type u_3
G : Type u_4
mX : MeasurableSpace X
inst✝⁶ : NormedAddCommGroup E
inst✝⁵ : NormedSpace ℝ E
inst✝⁴ : NormedAddCommGroup F
inst✝³ : NormedSpace ℝ F
inst✝² : NormedAddCommGroup G
inst✝¹ : NormedSpace ℝ G
μ : VectorMeasure X F
f : X → E
B : E →L[ℝ] F →L[ℝ] G
inst✝ : CompleteSpace G
hf : μ.Integrable f
hB : ∀ (x : E) (y : F), ‖(B x) y‖₊ = ‖B.flip y‖₊ * ‖x‖₊
s : Set X
hs : MeasurableSet s
ε : NNReal
εpos : 0 < ε
δ : NNReal := ε / 3
δpos : 0 < δ
g : X →ₛ E
hg : eLpNorm (f - ⇑g) 1 (μ.transpose B).variation ≤ ↑δ
gmem : MemLp (⇑g) 1 μ.variation
I1 : ∫⁻ (a : X) in s, ‖f a‖ₑ ∂(μ.transpose B).variation ≤ ∫⁻ (a : X) in s, ‖g a‖ₑ ∂(μ.transpose B).variation + ↑δ
I2 :
  ∫⁻ (a : X) in s, ‖g a‖ₑ ∂(μ.transpose B).variation =
    ∑ i ∈ g.range, ‖i‖ₑ * ((μ.transpose B).restrict s).variation (⇑g ⁻¹' {i})
ρ : ℝ≥0∞
ρpos : ρ > 0
hρ : ∑ i ∈ g.range, ‖i‖ₑ * ρ ≤ ↑δ
P : E → Finset (Set X)
Pg : ∀ (i : E), ∀ t ∈ P i, t ⊆ ⇑g ⁻¹' {i}
Pdisj : ∀ (i : E), (↑(P i)).PairwiseDisjoint id
Pmeas : ∀ (i : E), ∀ t ∈ P i, MeasurableSet t
hP :
  ∀ (i : E),
    ‖i‖ₑ * ((μ.transpose B).restrict s).variation (⇑g ⁻¹' {i}) ≤
      ‖i‖ₑ * (∑ p ∈ P i, ‖((μ.transpose B).restrict s) p‖ₑ + ρ)
I3 :
  ∑ i ∈ g.range, ‖i‖ₑ * ((μ.transpose B).restrict s).variation (⇑g ⁻¹' {i}) ≤
    ∑ i ∈ g.range.sigma P, ‖i.fst‖ₑ * ‖((μ.transpose B).restrict s) i.snd‖ₑ + ↑δ
⊢ ∑ i ∈ g.range.sigma P, ‖∫ᵛ (x : X) in i.snd, i.fst ∂[B; μ.restrict s]‖ₑ =
    ∑ i ∈ g.range.sigma P, ‖∫ᵛ (x : X) in i.snd, g x ∂[B; μ.restrict s]‖ₑ

Tactic:
by
      congr! 2 with ⟨i, p⟩ hi
      simp only [Finset.mem_sigma] at hi
      apply setIntegral_congr_ae
      filter_upwards with x hx using (Pg i _ hi.2 hx).symm

Goal state after:
Module: Mathlib.ModelTheory.DirectLimit

Goal state before:
pp: L : Language
ι : Type v
inst✝² : Preorder ι
G : ι → Type w
inst✝¹ : (i : ι) → L.Structure (G i)
f : (i j : ι) → i ≤ j → G i ↪[L] G j
inst✝ : DirectedSystem G fun i j h ↦ ⇑(f i j h)
α : Type u_1
x : α → Σˣ f
i j : ι
ij : i ≤ j
h : i ∈ upperBounds (range (Sigma.fst ∘ x))
⊢ ⇑(f i j ij) ∘ unify f x i h = unify f x j ⋯

Tactic:
by
  ext a
  simp [unify, DirectedSystem.map_map]

Goal state after:
Module: Mathlib.ModelTheory.PartialEquiv

Goal state before:
pp: L : Language
M : Type w
N : Type w'
inst✝¹ : L.Structure M
inst✝ : L.Structure N
f g : M ≃ₚ[L] N
⊢ f ≤ g ↔
    ∃ (dom_le_dom : f.dom ≤ g.dom) (cod_le_cod : f.cod ≤ g.cod),
      ∀ (x : ↥f.dom), (inclusion cod_le_cod) (f.toEquiv x) = g.toEquiv ((inclusion dom_le_dom) x)

Tactic:
by
  constructor
  · exact fun h ↦ ⟨dom_le_dom h, cod_le_cod h,
      by intro x; apply (subtype _).inj'; rwa [toEquiv_inclusion_apply]⟩
  · rintro ⟨dom_le_dom, le_cod, h_eq⟩
    rw [le_def]
    exact ⟨dom_le_dom, by ext; change subtype _ (g.toEquiv _) = _; rw [← h_eq]; rfl⟩

Goal state after: