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

Goal state before:
pp: ι : Type u_4
inst✝⁴ : Fintype ι
inst✝³ : DecidableEq ι
E : ι → Type u_5
inst✝² : (i : ι) → NormedAddCommGroup (E i)
inst✝¹ : (i : ι) → NormedSpace ℝ (E i)
mE : (i : ι) → MeasurableSpace (E i)
μ : (i : ι) → Measure (E i)
inst✝ : ∀ (i : ι), SigmaFinite (μ i)
L : StrongDual ℝ ((i : ι) → E i)
⊢ ∫ (v : (i : ι) → E i), cexp (∑ i, ↑((L ∘SL ContinuousLinearMap.single ℝ E i) (v i)) * I) ∂Measure.pi μ =
    ∏ i, ∫ (v : E i), cexp (↑((L ∘SL ContinuousLinearMap.single ℝ E i) v) * I) ∂μ i

Tactic:
Complex.exp_sum,

Goal state after:
ι : Type u_4
inst✝⁴ : Fintype ι
inst✝³ : DecidableEq ι
E : ι → Type u_5
inst✝² : (i : ι) → NormedAddCommGroup (E i)
inst✝¹ : (i : ι) → NormedSpace ℝ (E i)
mE : (i : ι) → MeasurableSpace (E i)
μ : (i : ι) → Measure (E i)
inst✝ : ∀ (i : ι), SigmaFinite (μ i)
L : StrongDual ℝ ((i : ι) → E i)
⊢ ∫ (v : (i : ι) → E i), ∏ x, cexp (↑((L ∘SL ContinuousLinearMap.single ℝ E x) (v x)) * I) ∂Measure.pi μ =
    ∏ i, ∫ (v : E i), cexp (↑((L ∘SL ContinuousLinearMap.single ℝ E i) v) * I) ∂μ i
Module: Mathlib.MeasureTheory.Measure.LevyProkhorovMetric

Goal state before:
pp: case neg.refine_1
Ω : Type u_1
inst✝² : MeasurableSpace Ω
inst✝¹ : PseudoEMetricSpace Ω
inst✝ : OpensMeasurableSpace Ω
μ ν κ : Measure Ω
LPμν_finite : ¬levyProkhorovEDist μ ν = ∞
LPνκ_finite : ¬levyProkhorovEDist ν κ = ∞
ε : ℝ≥0∞
B : Set Ω
ε_pos : 0 < ε
ε_lt_top : ε < ∞
B_mble : MeasurableSet B
half_ε_pos : 0 < ε / 2
r : ℝ≥0∞ := levyProkhorovEDist μ ν + ε / 2
s : ℝ≥0∞ := levyProkhorovEDist ν κ + ε / 2
lt_r : levyProkhorovEDist μ ν < r
lt_s : levyProkhorovEDist ν κ < s
hs_add_r : s + r = levyProkhorovEDist μ ν + levyProkhorovEDist ν κ + ε
hs_add_r' : s.toReal + r.toReal = (levyProkhorovEDist μ ν + levyProkhorovEDist ν κ + ε).toReal
⊢ μ B ≤ κ (thickening (s.toReal + r.toReal) B) + (s + r)

Tactic:
calc μ B ≤ ν (thickening r.toReal B) + r :=
      left_measure_le_of_levyProkhorovEDist_lt lt_r B_mble
    _ ≤ κ (thickening s.toReal (thickening r.toReal B)) + s + r := by
      grw [left_measure_le_of_levyProkhorovEDist_lt lt_s isOpen_thickening.measurableSet]
    _ = κ (thickening s.toReal (thickening r.toReal B)) + (s + r) := add_assoc _ _ _
    _ ≤ κ (thickening (s.toReal + r.toReal) B) + (s + r) := by grw [thickening_thickening_subset]

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

Goal state before:
pp: α : Type u_2
inst✝² : MeasurableSpace α
inst✝¹ : TopologicalSpace α
inst✝ : OpensMeasurableSpace α
f : α →ᵇ ℝ
μ : Measure α
f_nn : 0 ≤ᵐ[μ] ⇑f
hf : HasFiniteIntegral (⇑f) μ
⊢ Integrable (⇑f) μ

pp: α : Type u_2
inst✝² : MeasurableSpace α
inst✝¹ : TopologicalSpace α
inst✝ : OpensMeasurableSpace α
f : α →ᵇ ℝ
μ : Measure α
f_nn : 0 ≤ᵐ[μ] ⇑f
hf : HasFiniteIntegral (⇑f) μ
⊢ ⇑f ≤ᵐ[μ] fun x ↦ ‖f‖

Tactic:
· exact ⟨f.continuous.measurable.aestronglyMeasurable, hf⟩

Goal state after:
α : Type u_2
inst✝² : MeasurableSpace α
inst✝¹ : TopologicalSpace α
inst✝ : OpensMeasurableSpace α
f : α →ᵇ ℝ
μ : Measure α
f_nn : 0 ≤ᵐ[μ] ⇑f
hf : HasFiniteIntegral (⇑f) μ
⊢ ⇑f ≤ᵐ[μ] fun x ↦ ‖f‖
Module: Mathlib.MeasureTheory.Measure.LevyProkhorovMetric

Goal state before:
pp: case e'_4
Ω : Type u_1
inst✝³ : PseudoMetricSpace Ω
inst✝² : MeasurableSpace Ω
inst✝¹ : OpensMeasurableSpace Ω
inst✝ : SeparableSpace Ω
ε : ℝ
ε_pos : 0 < ε
h✝ : Nonempty Ω
xs : ℕ → Ω
xs_dense : DenseRange xs
half_ε_pos : 0 < ε / 2
Bs : ℕ → Set Ω := fun n ↦ ball (xs n) (ε / 2)
As : ℕ → Set Ω := disjointed Bs
n : ℕ
⊢ ε = 2 * (ε / 2)

Tactic:
ring

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
⊢ ε / 3 + ε / 3 + ε / 3 = ε

Tactic:
ring

Goal state after:
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 : Set α
tC : t ∈ C
ht : μ (t ∆ s) < ε / 2
D : Set (Set α)
D_count : D.Countable
DC : D ⊆ C
hD : μ (⋃₀ D)ᶜ = 0
Dne : D.Nonempty
f : ℕ → Set α
hf : D = range f
⊢ ∃ t' ∈ C, μ t'ᶜ < ε / 2

Tactic:
have fC n : Set.accumulate f n ∈ C := hC.accumulate_mem (fun n ↦ DC (by simp [hf])) n

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
D : Set (Set α)
D_count : D.Countable
DC : D ⊆ C
hD : μ (⋃₀ D)ᶜ = 0
Dne : D.Nonempty
f : ℕ → Set α
hf : D = range f
fC : ∀ (n : ℕ), accumulate f n ∈ C
⊢ ∃ t' ∈ C, μ t'ᶜ < ε / 2
Module: Mathlib.MeasureTheory.Measure.PreVariation

Goal state before:
pp: X : Type u_1
inst✝ : MeasurableSpace X
f : Set X → ℝ≥0∞
hf : IsSigmaSubadditiveSetFun f
hf' : f ∅ = 0
s : ℕ → Set X
hs : ∀ (i : ℕ), MeasurableSet (s i)
hs' : Pairwise (Disjoint on s)
b : ℝ≥0∞
Q : Finpartition ⟨⋃ i, s i, ⋯⟩
hQ : b < ∑ p ∈ Q.parts, f ↑p
s' : ℕ → Subtype MeasurableSet := fun i ↦ ⟨s i, ⋯⟩
P : (i : ℕ) → Finpartition (s' i) := fun i ↦ Q.restrict ⋯
splitting : ∑ q ∈ Q.parts, f ↑q ≤ ∑' (i : ℕ), ∑ p ∈ (P i).parts, f ↑p
n : ℕ
hn : b < ∑ a ∈ Finset.range n, ∑ p ∈ (P a).parts, f ↑p
bound : ∀ (i : ℕ), ∑ p ∈ (P i).parts, f ↑p ≤ preVariationFun f (s i)
⊢ ∃ I, b < ∑ i ∈ I, preVariationFun f (s i)

Tactic:
exact ⟨Finset.range n, lt_of_lt_of_le hn (Finset.sum_le_sum fun i _ => bound i)⟩

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

Goal state before:
pp: case refine_2
X : Type u_1
inst✝¹ : TopologicalSpace X
inst✝ : MeasurableSpace X
μ : Measure X
K : Set X
hK : IsCompact K
hKsub : K ⊆ μ.supportᶜ
⊢ ∀ ⦃s t : Set X⦄, μ s = 0 → μ t = 0 → μ (s ∪ t) = 0

Tactic:
exact fun _ _ hs ht ↦ measure_union_null hs ht

Goal state after:
Module: Mathlib.MeasureTheory.Order.UpperLower

Goal state before:
pp: ι : Type u_1
inst✝ : Fintype ι
s : Set (ι → ℝ)
x : ι → ℝ
f : (δ : ℝ) → 0 < δ → ι → ℝ
hf₀ : ∀ (δ : ℝ) (a : 0 < δ), closedBall (f δ a) (δ / 4) ⊆ closedBall x δ
hf₁ : ∀ (δ : ℝ) (a : 0 < δ), closedBall (f δ a) (δ / 4) ⊆ interior sᶜ
H : Tendsto (fun r ↦ volume (closure s ∩ closedBall x r) / volume (closedBall x r)) (𝓝[>] 0) (𝓝 1)
ε : ℕ → ℝ
hε' : ∀ (n : ℕ), 0 < ε n
hε₀ : Tendsto ε atTop (𝓝[>] 0)
⊢ False

Tactic:
refine not_eventually.2
      (Frequently.of_forall fun _ ↦ lt_irrefl <| 1 - ENNReal.ofReal (4⁻¹ ^ Fintype.card ι))
      ((Filter.Tendsto.eventually_lt tendsto_const_nhds (H.comp hε₀) <|
            ENNReal.sub_lt_self ENNReal.one_ne_top one_ne_zero ?_).mono
        fun n ↦ lt_of_le_of_lt' ?_)

Goal state after:
case refine_1
ι : Type u_1
inst✝ : Fintype ι
s : Set (ι → ℝ)
x : ι → ℝ
f : (δ : ℝ) → 0 < δ → ι → ℝ
hf₀ : ∀ (δ : ℝ) (a : 0 < δ), closedBall (f δ a) (δ / 4) ⊆ closedBall x δ
hf₁ : ∀ (δ : ℝ) (a : 0 < δ), closedBall (f δ a) (δ / 4) ⊆ interior sᶜ
H : Tendsto (fun r ↦ volume (closure s ∩ closedBall x r) / volume (closedBall x r)) (𝓝[>] 0) (𝓝 1)
ε : ℕ → ℝ
hε' : ∀ (n : ℕ), 0 < ε n
hε₀ : Tendsto ε atTop (𝓝[>] 0)
⊢ ENNReal.ofReal (4⁻¹ ^ Fintype.card ι) ≠ 0

case refine_2
ι : Type u_1
inst✝ : Fintype ι
s : Set (ι → ℝ)
x : ι → ℝ
f : (δ : ℝ) → 0 < δ → ι → ℝ
hf₀ : ∀ (δ : ℝ) (a : 0 < δ), closedBall (f δ a) (δ / 4) ⊆ closedBall x δ
hf₁ : ∀ (δ : ℝ) (a : 0 < δ), closedBall (f δ a) (δ / 4) ⊆ interior sᶜ
H : Tendsto (fun r ↦ volume (closure s ∩ closedBall x r) / volume (closedBall x r)) (𝓝[>] 0) (𝓝 1)
ε : ℕ → ℝ
hε' : ∀ (n : ℕ), 0 < ε n
hε₀ : Tendsto ε atTop (𝓝[>] 0)
n : ℕ
⊢ ((fun r ↦ volume (closure s ∩ closedBall x r) / volume (closedBall x r)) ∘ ε) n ≤
    1 - ENNReal.ofReal (4⁻¹ ^ Fintype.card ι)
Module: Mathlib.MeasureTheory.SpecificCodomains.Pi

Goal state before:
pp: X : Type u_1
mX : MeasurableSpace X
μ : Measure X
p : ℝ≥0∞
ι : Type u_2
inst✝¹ : Fintype ι
E : ι → Type u_3
inst✝ : (i : ι) → NormedAddCommGroup (E i)
f : X → (i : ι) → E i
hf : ∀ (i : ι), MemLp (fun x ↦ f x i) p μ
⊢ MemLp f p μ

Tactic:
by
    classical
    have : f = ∑ i, (Pi.single i) ∘ (f · i) := by ext; simp
    rw [this]
    refine memLp_finsetSum' _ fun i _ ↦ ?_
    exact (Isometry.single i).lipschitz.comp_memLp (by simp) (hf i)

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✝² : Fact (1 ≤ q)
E : Type u_2
F : Type u_3
inst✝¹ : NormedAddCommGroup E
inst✝ : NormedAddCommGroup F
f : X → WithLp q (E × F)
⊢ MemLp f 1 μ ↔ MemLp (fun x ↦ (f x).fst) 1 μ ∧ MemLp (fun x ↦ (f x).snd) 1 μ

Tactic:
memLp_prodLp_iff

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

Goal state before:
pp: case inr.inl
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 : 1 < ε
μ' : ProbabilityMeasure 𝓧
hμ' : μ' ∈ S
⊢ ↑μ' ∅ᶜ ≤ ε

Tactic:
rw [compl_empty, measure_univ]

Goal state after:
case inr.inl
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 : 1 < ε
μ' : ProbabilityMeasure 𝓧
hμ' : μ' ∈ S
⊢ 1 ≤ 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
hst : Disjoint s t
hs : MeasurableSet s
ht : MeasurableSet t
hfs : μ.IntegrableOn f s
hft : μ.IntegrableOn f t
⊢ ∫ᵛ (x : X) in s ∪ t, f x ∂[B; μ] = ∫ᵛ (x : X) in s, f x ∂[B; μ] + ∫ᵛ (x : X) in t, f x ∂[B; μ]

Tactic:
← integral_add_vectorMeasure hfs hft,

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
hst : Disjoint s t
hs : MeasurableSet s
ht : MeasurableSet t
hfs : μ.IntegrableOn f s
hft : μ.IntegrableOn f t
⊢ ∫ᵛ (x : X) in s ∪ t, f x ∂[B; μ] = ∫ᵛ (x : X), f x ∂[B; μ.restrict s + μ.restrict t]
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)
⊢ ∃ 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 A : ∀ s ∈ {s | ∃ u v, u ≤ v ∧ s = Ioc u v}, ‖m s‖ₑ ≤ hf.measureAux s := by
    rintro s ⟨u, v, huv, rfl⟩
    rw [AddContent.onIoc_apply huv]
    simp only [BoundedVariationOn.measureAux, h'α, ↓reduceDIte, StieltjesFunction.measure_Ioc,
      BoundedVariationOn.stieltjesFunctionRightLim_apply]
    rw [← variationOnFromTo.add hf.rightLim.locallyBoundedVariationOn
      (mem_univ h'α.some) (mem_univ u) (mem_univ v)]
    simp only [add_sub_cancel_left, variationOnFromTo, huv, ↓reduceIte, univ_inter]
    rw [ENNReal.ofReal_toReal]; swap
    · exact ((eVariationOn.mono _ (subset_univ _)).trans_lt hf.rightLim.lt_top).ne
    rw [← edist_eq_enorm_sub]
    exact eVariationOn.edist_le _ (by grind) (by grind)

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
⊢ ∃ 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.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
⊢ δ + δ = 2 * δ

Tactic:
ring

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
⊢ 2 * δ + δ = 3 * δ

Tactic:
ring

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')
⊢ 3 * δ + δ = 4 * δ

Tactic:
ring

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
Ist : ‖m (s'' ∪ t') - m₁ ⟨↑s ∪ ↑t, ⋯⟩‖ₑ < 4 * δ
⊢ 4 * δ + 3 * δ + δ = 8 * δ

Tactic:
ring

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
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
A : ∀ s ∈ supClosure C, ‖m₀ s‖ₑ ≤ μ s
B : ∀ s ∈ supClosure C, MeasurableSet s
m' : VectorMeasure α E
hm' : ∀ s ∈ supClosure C, m' s = m₀ s
m'bound : ∀ (s : Set α), ‖m' s‖ₑ ≤ μ s
⊢ ∃ m', (∀ s ∈ C, m' s = m s) ∧ ∀ (s : Set α), ‖m' s‖ₑ ≤ μ s

Tactic:
refine ⟨m', fun s hs ↦ ?_, m'bound⟩

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
A : ∀ s ∈ supClosure C, ‖m₀ s‖ₑ ≤ μ s
B : ∀ s ∈ supClosure C, MeasurableSet s
m' : VectorMeasure α E
hm' : ∀ s ∈ supClosure C, m' s = m₀ s
m'bound : ∀ (s : Set α), ‖m' s‖ₑ ≤ μ s
s : Set α
hs : s ∈ C
⊢ m' s = m s
Module: Mathlib.MeasureTheory.VectorMeasure.Prod

Goal state before:
pp: case compl
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✝ s : Set (X × Y)
hs : MeasurableSet s
ihs : StronglyMeasurable fun x ↦ ν (Prod.mk x ⁻¹' s)
⊢ StronglyMeasurable fun x ↦ ν (Prod.mk x ⁻¹' sᶜ)

Tactic:
| compl s hs ihs =>

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

Goal state before:
pp: X : Type u_1
mX : MeasurableSpace X
s : SignedMeasure X
i : Set X
⊢ ‖s i‖ ≤ s.totalVariation.real i

Tactic:
by_cases hi : MeasurableSet i

Goal state after:
case pos
X : Type u_1
mX : MeasurableSpace X
s : SignedMeasure X
i : Set X
hi : MeasurableSet i
⊢ ‖s i‖ ≤ s.totalVariation.real i

case neg
X : Type u_1
mX : MeasurableSpace X
s : SignedMeasure X
i : Set X
hi : ¬MeasurableSet i
⊢ ‖s i‖ ≤ s.totalVariation.real i
Module: Mathlib.MeasureTheory.VectorMeasure.Integral

Goal state before:
pp: X : Type u_2
E : Type u_4
F : Type u_5
G : Type u_6
mX : MeasurableSpace X
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 F
B : E →L[ℝ] F →L[ℝ] G
s : Set X
hs : MeasurableSet s
x : E
⊢ ‖B‖ₑ * ‖x‖ₑ * μ.variation s = ‖B‖ₑ * μ.variation s * ‖x‖ₑ

Tactic:
ring

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

Goal state before:
pp: s : Set ℕ
k p : ℕ
hp : p > 0
hs : ∀ x ≥ k, x ∈ s ↔ x + p ∈ s
h₁ : {x | x ∈ s ∧ x < k}.Finite
h₂ : {x | x ∈ s ∧ k ≤ x ∧ x < k + p}.Finite
x : ℕ
⊢ x ∈ s ↔ x ∈ {x | x ∈ s ∧ x < k} ∪ ({x | x ∈ s ∧ k ≤ x ∧ x < k + p} + ↑(closure ↑{p}))

Tactic:
simp only [sep_and, Finset.coe_singleton, mem_union, mem_ofPred_eq, mem_add, mem_inter_iff,
      SetLike.mem_coe, AddSubmonoid.mem_closure_singleton, smul_eq_mul, exists_exists_eq_and]

Goal state after:
s : Set ℕ
k p : ℕ
hp : p > 0
hs : ∀ x ≥ k, x ∈ s ↔ x + p ∈ s
h₁ : {x | x ∈ s ∧ x < k}.Finite
h₂ : {x | x ∈ s ∧ k ≤ x ∧ x < k + p}.Finite
x : ℕ
⊢ x ∈ s ↔ x ∈ s ∧ x < k ∨ ∃ x_1, ((x_1 ∈ s ∧ k ≤ x_1) ∧ x_1 ∈ s ∧ x_1 < k + p) ∧ ∃ a, x_1 + a * p = x
Module: Mathlib.MeasureTheory.VectorMeasure.Integral

Goal state before:
pp: X : Type u_2
E : Type u_4
F : Type u_5
G : Type u_6
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
f : X → E
μ : VectorMeasure X F
B : E →L[ℝ] F →L[ℝ] G
inst✝ : IsFiniteMeasure μ.variation
C : ℝ
h : ∀ᵐ (x : X) ∂μ.variation, ‖f x‖ ≤ C
⊢ ‖B‖ * (C * μ.variation.real univ) = C * ‖B‖ * μ.variation.real univ

Tactic:
ring

Goal state after:
Module: Mathlib.ModelTheory.Complexity

Goal state before:
pp: case ex.refine_1
L : Language
M : Type w
inst✝¹ : L.Structure M
α : Type u'
n : ℕ
inst✝ : Nonempty M
ψ : L.BoundedFormula α n
v : α → M
n✝ : ℕ
φ✝ : L.BoundedFormula α (n✝ + 1)
h✝ : φ✝.IsPrenex
ih :
  ∀ {φ : L.BoundedFormula α (n✝ + 1)},
    φ.IsQF → ∀ {xs : Fin (n✝ + 1) → M}, (φ.toPrenexImpRight φ✝).Realize v xs ↔ (φ ⟹ φ✝).Realize v xs
φ : L.BoundedFormula α n✝
hφ : φ.IsQF
xs : Fin n✝ → M
⊢ (∃ a, φ.Realize v xs → φ✝.Realize v (snoc xs a)) → φ.Realize v xs → ∃ a, φ✝.Realize v (snoc xs a)

Tactic:
rintro ⟨a, ha⟩ h

Goal state after:
case ex.refine_1
L : Language
M : Type w
inst✝¹ : L.Structure M
α : Type u'
n : ℕ
inst✝ : Nonempty M
ψ : L.BoundedFormula α n
v : α → M
n✝ : ℕ
φ✝ : L.BoundedFormula α (n✝ + 1)
h✝ : φ✝.IsPrenex
ih :
  ∀ {φ : L.BoundedFormula α (n✝ + 1)},
    φ.IsQF → ∀ {xs : Fin (n✝ + 1) → M}, (φ.toPrenexImpRight φ✝).Realize v xs ↔ (φ ⟹ φ✝).Realize v xs
φ : L.BoundedFormula α n✝
hφ : φ.IsQF
xs : Fin n✝ → M
a : M
ha : φ.Realize v xs → φ✝.Realize v (snoc xs a)
h : φ.Realize v xs
⊢ ∃ a, φ✝.Realize v (snoc xs a)