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

Goal state before:
pp: ι : Type u_1
κ : Type u_2
X : ι → Type u_5
Y : κ → Type u_6
mX : (i : ι) → MeasurableSpace (X i)
inst✝⁹ : (i : ι) → TopologicalSpace (X i)
inst✝⁸ : ∀ (i : ι), BorelSpace (X i)
inst✝⁷ : ∀ (i : ι), HasOuterApproxClosed (X i)
mY : (j : κ) → MeasurableSpace (Y j)
inst✝⁶ : (j : κ) → TopologicalSpace (Y j)
inst✝⁵ : ∀ (j : κ), BorelSpace (Y j)
inst✝⁴ : ∀ (j : κ), HasOuterApproxClosed (Y j)
inst✝³ : Finite ι
inst✝² : Finite κ
μ ν : Measure (((i : ι) → X i) × ((j : κ) → Y j))
inst✝¹ : IsFiniteMeasure μ
inst✝ : IsFiniteMeasure ν
h :
  ∀ (f : ((i : ι) → X i) →ᵇ ℝ) (g : ((j : κ) → Y j) →ᵇ ℝ),
    ∫ (p : ((i : ι) → X i) × ((j : κ) → Y j)), f p.1 * g p.2 ∂μ =
      ∫ (p : ((i : ι) → X i) × ((j : κ) → Y j)), f p.1 * g p.2 ∂ν
this✝ : Fintype ι
this : Fintype κ
f : (i : ι) → X i →ᵇ ℝ
g : (j : κ) → Y j →ᵇ ℝ
i : ι
⊢ Continuous[Pi.topologicalSpace, inst✝⁹ i] (Function.eval i)

Tactic:
by fun_prop

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

Goal state before:
pp: ι : Type u_1
κ : Type u_2
X : ι → Type u_5
Y : κ → Type u_6
mX : (i : ι) → MeasurableSpace (X i)
inst✝⁹ : (i : ι) → TopologicalSpace (X i)
inst✝⁸ : ∀ (i : ι), BorelSpace (X i)
inst✝⁷ : ∀ (i : ι), HasOuterApproxClosed (X i)
mY : (j : κ) → MeasurableSpace (Y j)
inst✝⁶ : (j : κ) → TopologicalSpace (Y j)
inst✝⁵ : ∀ (j : κ), BorelSpace (Y j)
inst✝⁴ : ∀ (j : κ), HasOuterApproxClosed (Y j)
inst✝³ : Finite ι
inst✝² : Finite κ
μ ν : Measure (((i : ι) → X i) × ((j : κ) → Y j))
inst✝¹ : IsFiniteMeasure μ
inst✝ : IsFiniteMeasure ν
h :
  ∀ (f : ((i : ι) → X i) →ᵇ ℝ) (g : ((j : κ) → Y j) →ᵇ ℝ),
    ∫ (p : ((i : ι) → X i) × ((j : κ) → Y j)), f p.1 * g p.2 ∂μ =
      ∫ (p : ((i : ι) → X i) × ((j : κ) → Y j)), f p.1 * g p.2 ∂ν
this✝ : Fintype ι
this : Fintype κ
f : (i : ι) → X i →ᵇ ℝ
g : (j : κ) → Y j →ᵇ ℝ
j : κ
⊢ Continuous[Pi.topologicalSpace, inst✝⁶ j] (Function.eval j)

Tactic:
by fun_prop

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

Goal state before:
pp: ι : Type u_1
T : Type u_4
X : ι → Type u_5
mX : (i : ι) → MeasurableSpace (X i)
inst✝⁸ : (i : ι) → TopologicalSpace (X i)
inst✝⁷ : ∀ (i : ι), BorelSpace (X i)
inst✝⁶ : ∀ (i : ι), HasOuterApproxClosed (X i)
mT : MeasurableSpace T
inst✝⁵ : TopologicalSpace T
inst✝⁴ : BorelSpace T
inst✝³ : HasOuterApproxClosed T
inst✝² : Finite ι
μ ν : Measure (((i : ι) → X i) × T)
inst✝¹ : IsFiniteMeasure μ
inst✝ : IsFiniteMeasure ν
h :
  ∀ (f : ((i : ι) → X i) →ᵇ ℝ) (g : T →ᵇ ℝ),
    ∫ (p : ((i : ι) → X i) × T), f p.1 * g p.2 ∂μ = ∫ (p : ((i : ι) → X i) × T), f p.1 * g p.2 ∂ν
this : Fintype ι
f : (i : ι) → X i →ᵇ ℝ
g : T →ᵇ ℝ
i : ι
⊢ Continuous[Pi.topologicalSpace, inst✝⁸ i] (Function.eval i)

Tactic:
by fun_prop

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

Goal state before:
pp: E : Type u_1
inst✝⁵ : NormedAddCommGroup E
inst✝⁴ : InnerProductSpace ℝ E
inst✝³ : FiniteDimensional ℝ E
inst✝² : MeasurableSpace E
inst✝¹ : BorelSpace E
μ : ℕ → Measure E
inst✝ : ∀ (i : ℕ), IsProbabilityMeasure (μ i)
f : E → ℂ
hf : ContinuousAt f 0
h : ∀ (t : E), Tendsto (fun n ↦ charFun (μ n) t) atTop (𝓝 (f t))
z : E
hz : ‖z‖ = 1
h_le_4 : ∀ (n : ℕ) (r : ℝ), 0 < r → 2⁻¹ * r * ‖∫ (t : ℝ) in -2 * r⁻¹..2 * r⁻¹, 1 - charFun (μ n) (t • z)‖ ≤ 4
h_le :
  ∀ (n : ℕ) (r : ℝ),
    0 < r → (μ n).real {x | r < |⟪z, x⟫|} ≤ 2⁻¹ * r * ‖∫ (t : ℝ) in -2 * r⁻¹..2 * r⁻¹, 1 - charFun (μ n) (t • z)‖
h_limsup_le :
  ∀ (r : ℝ),
    0 < r →
      limsup (fun n ↦ (μ n).real {x | r < |⟪z, x⟫|}) atTop ≤ 2⁻¹ * r * ‖∫ (t : ℝ) in -2 * r⁻¹..2 * r⁻¹, 1 - f (t • z)‖
ε : ℝ
hε : ε > 0
hf0 : f 0 = 1
hf_tendsto : ∀ (ε : ℝ), 0 < ε → ∃ δ, 0 < δ ∧ ∀ ⦃x : E⦄, ‖x‖ < δ → ‖1 - f x‖ < ε
δ : ℝ
hδ : 0 < δ
hδ_lt : ∀ ⦃x : E⦄, ‖x‖ < δ → ‖1 - f x‖ < ε / 4
r : ℝ
hrδ : 4 * δ⁻¹ ≤ r
hr : 0 < r
hr' : -(2 * r⁻¹) ≤ 2 * r⁻¹
h_le_Ioc : ∀ x ∈ Set.Ioc (-(2 * r⁻¹)) (2 * r⁻¹), ‖1 - f (x • z)‖ ≤ ε / 4
⊢ ∀ (i : ℕ), Measurable fun t ↦ charFun (μ i) t

Tactic:
by fun_prop

Goal state after:
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 ⋯
⊢ ∑' (i : ℕ), ∑ q ∈ Q.parts, f (↑q ⊓ ↑(s' i)) = ∑' (i : ℕ), ∑ p ∈ (P i).parts, f ↑p

Tactic:
congr 1

Goal state after:
case e_f
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 ⋯
⊢ (fun i ↦ ∑ q ∈ Q.parts, f (↑q ⊓ ↑(s' i))) = fun i ↦ ∑ p ∈ (P i).parts, f ↑p
Module: Mathlib.MeasureTheory.Measure.HasOuterApproxClosedProd

Goal state before:
pp: κ : Type u_2
Z : Type u_3
Y : κ → Type u_6
mY : (j : κ) → MeasurableSpace (Y j)
inst✝⁸ : (j : κ) → TopologicalSpace (Y j)
inst✝⁷ : ∀ (j : κ), BorelSpace (Y j)
inst✝⁶ : ∀ (j : κ), HasOuterApproxClosed (Y j)
mZ : MeasurableSpace Z
inst✝⁵ : TopologicalSpace Z
inst✝⁴ : BorelSpace Z
inst✝³ : HasOuterApproxClosed Z
inst✝² : Finite κ
μ ν : Measure (Z × ((i : κ) → Y i))
inst✝¹ : IsFiniteMeasure μ
inst✝ : IsFiniteMeasure ν
h :
  ∀ (f : Z →ᵇ ℝ) (g : ((j : κ) → Y j) →ᵇ ℝ),
    ∫ (p : Z × ((i : κ) → Y i)), f p.1 * g p.2 ∂μ = ∫ (p : Z × ((i : κ) → Y i)), f p.1 * g p.2 ∂ν
this : Fintype κ
f : Z →ᵇ ℝ
g : (j : κ) → Y j →ᵇ ℝ
j : κ
⊢ Continuous[Pi.topologicalSpace, inst✝⁸ j] (Function.eval j)

Tactic:
by fun_prop

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

Goal state before:
pp: E : Type u_1
inst✝⁵ : NormedAddCommGroup E
inst✝⁴ : InnerProductSpace ℝ E
inst✝³ : FiniteDimensional ℝ E
inst✝² : MeasurableSpace E
inst✝¹ : BorelSpace E
μ : ℕ → Measure E
inst✝ : ∀ (i : ℕ), IsProbabilityMeasure (μ i)
f : E → ℂ
hf : ContinuousAt f 0
h : ∀ (t : E), Tendsto (fun n ↦ charFun (μ n) t) atTop (𝓝 (f t))
z : E
hz : ‖z‖ = 1
h_le_4 : ∀ (n : ℕ) (r : ℝ), 0 < r → 2⁻¹ * r * ‖∫ (t : ℝ) in -2 * r⁻¹..2 * r⁻¹, 1 - charFun (μ n) (t • z)‖ ≤ 4
h_le :
  ∀ (n : ℕ) (r : ℝ),
    0 < r → (μ n).real {x | r < |⟪z, x⟫|} ≤ 2⁻¹ * r * ‖∫ (t : ℝ) in -2 * r⁻¹..2 * r⁻¹, 1 - charFun (μ n) (t • z)‖
h_limsup_le :
  ∀ (r : ℝ),
    0 < r →
      limsup (fun n ↦ (μ n).real {x | r < |⟪z, x⟫|}) atTop ≤ 2⁻¹ * r * ‖∫ (t : ℝ) in -2 * r⁻¹..2 * r⁻¹, 1 - f (t • z)‖
ε : ℝ
hε : ε > 0
hf0 : f 0 = 1
hf_tendsto : ∀ (ε : ℝ), 0 < ε → ∃ δ, 0 < δ ∧ ∀ ⦃x : E⦄, ‖x‖ < δ → ‖1 - f x‖ < ε
δ : ℝ
hδ : 0 < δ
hδ_lt : ∀ ⦃x : E⦄, ‖x‖ < δ → ‖1 - f x‖ < ε / 4
r : ℝ
hrδ : 4 * δ⁻¹ ≤ r
hr : 0 < r
hr' : -(2 * r⁻¹) ≤ 2 * r⁻¹
h_le_Ioc : ∀ x ∈ Set.Ioc (-(2 * r⁻¹)) (2 * r⁻¹), ‖1 - f (x • z)‖ ≤ ε / 4
hf_meas : Measurable f
⊢ Integrable (fun x ↦ ε / 4) (volume.restrict (Set.Ioc (-(2 * r⁻¹)) (2 * r⁻¹)))

Tactic:
by fun_prop

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

Goal state before:
pp: 𝕜 : Type u_1
A : Type u_2
inst✝⁴ : NontriviallyNormedField 𝕜
inst✝³ : MeasurableSpace 𝕜
inst✝² : CompleteSpace 𝕜
inst✝¹ : NormedDivisionRing A
inst✝ : NormedAlgebra 𝕜 A
μ : Measure 𝕜
a : A
hz : a ∉ ⇑(algebraMap 𝕜 A) '' μ.support
x : 𝕜
hx : x ∈ μ.support
this : 0 < infDist a (⇑(algebraMap 𝕜 A) '' μ.support)
⊢ infDist a (⇑(algebraMap 𝕜 A) '' μ.support) ≤ ‖(algebraMap 𝕜 A) x - a‖

Tactic:
infDist_le_dist_of_mem (y := (algebraMap 𝕜 A) x),

Goal state after:
𝕜 : Type u_1
A : Type u_2
inst✝⁴ : NontriviallyNormedField 𝕜
inst✝³ : MeasurableSpace 𝕜
inst✝² : CompleteSpace 𝕜
inst✝¹ : NormedDivisionRing A
inst✝ : NormedAlgebra 𝕜 A
μ : Measure 𝕜
a : A
hz : a ∉ ⇑(algebraMap 𝕜 A) '' μ.support
x : 𝕜
hx : x ∈ μ.support
this : 0 < infDist a (⇑(algebraMap 𝕜 A) '' μ.support)
⊢ dist a ((algebraMap 𝕜 A) x) ≤ ‖(algebraMap 𝕜 A) x - a‖

case h
𝕜 : Type u_1
A : Type u_2
inst✝⁴ : NontriviallyNormedField 𝕜
inst✝³ : MeasurableSpace 𝕜
inst✝² : CompleteSpace 𝕜
inst✝¹ : NormedDivisionRing A
inst✝ : NormedAlgebra 𝕜 A
μ : Measure 𝕜
a : A
hz : a ∉ ⇑(algebraMap 𝕜 A) '' μ.support
x : 𝕜
hx : x ∈ μ.support
this : 0 < infDist a (⇑(algebraMap 𝕜 A) '' μ.support)
⊢ (algebraMap 𝕜 A) x ∈ ⇑(algebraMap 𝕜 A) '' μ.support
Module: Mathlib.MeasureTheory.Measure.LevyConvergence

Goal state before:
pp: E : Type u_1
inst✝⁵ : NormedAddCommGroup E
inst✝⁴ : InnerProductSpace ℝ E
inst✝³ : FiniteDimensional ℝ E
inst✝² : MeasurableSpace E
inst✝¹ : BorelSpace E
μ : ℕ → Measure E
inst✝ : ∀ (i : ℕ), IsProbabilityMeasure (μ i)
f : E → ℂ
hf : ContinuousAt f 0
h : ∀ (t : E), Tendsto (fun n ↦ charFun (μ n) t) atTop (𝓝 (f t))
z : E
hz : ‖z‖ = 1
h_le_4 : ∀ (n : ℕ) (r : ℝ), 0 < r → 2⁻¹ * r * ‖∫ (t : ℝ) in -2 * r⁻¹..2 * r⁻¹, 1 - charFun (μ n) (t • z)‖ ≤ 4
h_le :
  ∀ (n : ℕ) (r : ℝ),
    0 < r → (μ n).real {x | r < |⟪z, x⟫|} ≤ 2⁻¹ * r * ‖∫ (t : ℝ) in -2 * r⁻¹..2 * r⁻¹, 1 - charFun (μ n) (t • z)‖
h_limsup_le :
  ∀ (r : ℝ),
    0 < r →
      limsup (fun n ↦ (μ n).real {x | r < |⟪z, x⟫|}) atTop ≤ 2⁻¹ * r * ‖∫ (t : ℝ) in -2 * r⁻¹..2 * r⁻¹, 1 - f (t • z)‖
ε : ℝ
hε : ε > 0
hf0 : f 0 = 1
hf_tendsto : ∀ (ε : ℝ), 0 < ε → ∃ δ, 0 < δ ∧ ∀ ⦃x : E⦄, ‖x‖ < δ → ‖1 - f x‖ < ε
δ : ℝ
hδ : 0 < δ
hδ_lt : ∀ ⦃x : E⦄, ‖x‖ < δ → ‖1 - f x‖ < ε / 4
r : ℝ
hrδ : 4 * δ⁻¹ ≤ r
hr : 0 < r
hr' : -(2 * r⁻¹) ≤ 2 * r⁻¹
h_le_Ioc : ∀ x ∈ Set.Ioc (-(2 * r⁻¹)) (2 * r⁻¹), ‖1 - f (x • z)‖ ≤ ε / 4
hf_meas : Measurable f
⊢ Measurable fun x ↦ ‖1 - f (x • z)‖

Tactic:
by fun_prop

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

Goal state before:
pp: 𝕜 : Type u_1
A : Type u_2
inst✝¹¹ : NontriviallyNormedField 𝕜
inst✝¹⁰ : MeasurableSpace 𝕜
inst✝⁹ : CompleteSpace 𝕜
inst✝⁸ : NormedDivisionRing A
inst✝⁷ : NormedAlgebra 𝕜 A
inst✝⁶ : HereditarilyLindelofSpace 𝕜
inst✝⁵ : OpensMeasurableSpace 𝕜
inst✝⁴ : CompleteSpace A
inst✝³ : SecondCountableTopology A
inst✝² : MeasurableSpace A
inst✝¹ : BorelSpace A
μ : Measure 𝕜
inst✝ : IsFiniteMeasure μ
a : A
hz : a ∉ ⇑(algebraMap 𝕜 A) '' μ.support
⊢ AEStronglyMeasurable (resolvent a) μ

Tactic:
by fun_prop

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

Goal state before:
pp: 𝕜 : Type u_1
A : Type u_2
inst✝⁷ : NontriviallyNormedField 𝕜
inst✝⁶ : HereditarilyLindelofSpace 𝕜
inst✝⁵ : CompleteSpace 𝕜
inst✝⁴ : MeasurableSpace 𝕜
inst✝³ : BorelSpace 𝕜
inst✝² : RCLike A
inst✝¹ : NormedAlgebra 𝕜 A
μ : Measure 𝕜
inst✝ : IsFiniteMeasure μ
a : A
ha : a ∉ ⇑(algebraMap 𝕜 A) '' μ.support
h : μ.support.Nonempty
this : 0 < infDist a (⇑(algebraMap 𝕜 A) '' μ.support)
s : Set A := ball a (infDist a (⇑(algebraMap 𝕜 A) '' μ.support) / 2)
hs_z : s ∈ 𝓝 a
hs_μ : s ⊆ (⇑(algebraMap 𝕜 A) '' μ.support)ᶜ
a✝ : A
⊢ AEStronglyMeasurable (resolvent a✝) μ

Tactic:
by fun_prop

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

Goal state before:
pp: E : Type u_1
inst✝³ : NormedAddCommGroup E
inst✝² : InnerProductSpace ℝ E
inst✝¹ : MeasurableSpace E
inst✝ : BorelSpace E
ι : Type u_2
𝓕 : Filter ι
μ₀ : ProbabilityMeasure E
μ✝ : ι → ProbabilityMeasure E
h : ∀ (t : E), Tendsto (fun n ↦ charFun (↑(μ✝ n)) t) 𝓕 (𝓝 (charFun (↑μ₀) t))
g : E →ᵇ ℂ
w : AddMonoidAlgebra ℂ E
hw : ⇑g = fun x ↦ w.coeff.sum fun a z ↦ z * ↑(probChar (((innerₗ E) x) a))
μ : Measure E
hμ : IsProbabilityMeasure μ
⊢ ∑ i ∈ w.coeff.support, ∫ (a : E), w.coeff i * ↑(probChar (((innerₗ E) a) i)) ∂μ =
    ∑ x ∈ w.coeff.support, w.coeff x * ∫ (x_1 : E), ↑(probChar (((innerₗ E) x_1) x)) ∂μ

pp: case hf
E : Type u_1
inst✝³ : NormedAddCommGroup E
inst✝² : InnerProductSpace ℝ E
inst✝¹ : MeasurableSpace E
inst✝ : BorelSpace E
ι : Type u_2
𝓕 : Filter ι
μ₀ : ProbabilityMeasure E
μ✝ : ι → ProbabilityMeasure E
h : ∀ (t : E), Tendsto (fun n ↦ charFun (↑(μ✝ n)) t) 𝓕 (𝓝 (charFun (↑μ₀) t))
g : E →ᵇ ℂ
w : AddMonoidAlgebra ℂ E
hw : ⇑g = fun x ↦ w.coeff.sum fun a z ↦ z * ↑(probChar (((innerₗ E) x) a))
μ : Measure E
hμ : IsProbabilityMeasure μ
⊢ ∀ i ∈ w.coeff.support, Integrable (fun x ↦ w.coeff i * ↑(probChar (((innerₗ E) x) i))) μ

Tactic:
· congr with y
      rw [integral_const_mul]

Goal state after:
case hf
E : Type u_1
inst✝³ : NormedAddCommGroup E
inst✝² : InnerProductSpace ℝ E
inst✝¹ : MeasurableSpace E
inst✝ : BorelSpace E
ι : Type u_2
𝓕 : Filter ι
μ₀ : ProbabilityMeasure E
μ✝ : ι → ProbabilityMeasure E
h : ∀ (t : E), Tendsto (fun n ↦ charFun (↑(μ✝ n)) t) 𝓕 (𝓝 (charFun (↑μ₀) t))
g : E →ᵇ ℂ
w : AddMonoidAlgebra ℂ E
hw : ⇑g = fun x ↦ w.coeff.sum fun a z ↦ z * ↑(probChar (((innerₗ E) x) a))
μ : Measure E
hμ : IsProbabilityMeasure μ
⊢ ∀ i ∈ w.coeff.support, Integrable (fun x ↦ w.coeff i * ↑(probChar (((innerₗ E) x) i))) μ
Module: Mathlib.MeasureTheory.Measure.ResolventTransform

Goal state before:
pp: 𝕜 : Type u_1
A : Type u_2
inst✝⁷ : NontriviallyNormedField 𝕜
inst✝⁶ : HereditarilyLindelofSpace 𝕜
inst✝⁵ : CompleteSpace 𝕜
inst✝⁴ : MeasurableSpace 𝕜
inst✝³ : BorelSpace 𝕜
inst✝² : RCLike A
inst✝¹ : NormedAlgebra 𝕜 A
μ : Measure 𝕜
inst✝ : IsFiniteMeasure μ
a : A
ha : a ∉ ⇑(algebraMap 𝕜 A) '' μ.support
h : μ.support.Nonempty
this : 0 < infDist a (⇑(algebraMap 𝕜 A) '' μ.support)
s : Set A := ball a (infDist a (⇑(algebraMap 𝕜 A) '' μ.support) / 2)
hs_z : s ∈ 𝓝 a
hs_μ : s ⊆ (⇑(algebraMap 𝕜 A) '' μ.support)ᶜ
resolvent_meas : ∀ᶠ (w : A) in 𝓝 a, AEStronglyMeasurable (resolvent w) μ
resolvent'_bound : ∀ᵐ (x : 𝕜) ∂μ, ∀ w ∈ s, ‖resolvent w x ^ 2‖ ≤ (infDist a (⇑(algebraMap 𝕜 A) '' μ.support) / 2)⁻¹ ^ 2
h_deriv : ∀ᵐ (x : 𝕜) ∂μ, ∀ w ∈ s, HasDerivAt (fun w ↦ resolvent w x) (resolvent w x ^ 2) w
⊢ AEStronglyMeasurable (fun a_1 ↦ resolvent a a_1 ^ 2) μ

Tactic:
by fun_prop

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

Goal state before:
pp: 𝕜 : Type u_1
A : Type u_2
inst✝⁷ : NontriviallyNormedField 𝕜
inst✝⁶ : HereditarilyLindelofSpace 𝕜
inst✝⁵ : CompleteSpace 𝕜
inst✝⁴ : MeasurableSpace 𝕜
inst✝³ : BorelSpace 𝕜
inst✝² : RCLike A
inst✝¹ : NormedAlgebra 𝕜 A
μ : Measure 𝕜
inst✝ : IsFiniteMeasure μ
a : A
ha : a ∉ ⇑(algebraMap 𝕜 A) '' μ.support
h : μ.support.Nonempty
this : 0 < infDist a (⇑(algebraMap 𝕜 A) '' μ.support)
s : Set A := ball a (infDist a (⇑(algebraMap 𝕜 A) '' μ.support) / 2)
hs_z : s ∈ 𝓝 a
hs_μ : s ⊆ (⇑(algebraMap 𝕜 A) '' μ.support)ᶜ
resolvent_meas : ∀ᶠ (w : A) in 𝓝 a, AEStronglyMeasurable (resolvent w) μ
resolvent'_bound : ∀ᵐ (x : 𝕜) ∂μ, ∀ w ∈ s, ‖resolvent w x ^ 2‖ ≤ (infDist a (⇑(algebraMap 𝕜 A) '' μ.support) / 2)⁻¹ ^ 2
h_deriv : ∀ᵐ (x : 𝕜) ∂μ, ∀ w ∈ s, HasDerivAt (fun w ↦ resolvent w x) (resolvent w x ^ 2) w
⊢ Integrable (fun a_1 ↦ (infDist a (⇑(algebraMap 𝕜 A) '' μ.support) / 2)⁻¹ ^ 2) μ

Tactic:
by fun_prop

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

Goal state before:
pp: E : Type u_1
inst✝⁴ : NormedAddCommGroup E
inst✝³ : InnerProductSpace ℝ E
inst✝² : FiniteDimensional ℝ E
inst✝¹ : MeasurableSpace E
inst✝ : BorelSpace E
μ₀ : ProbabilityMeasure E
μ : ℕ → ProbabilityMeasure E
h : ∀ (t : E), Tendsto (fun n ↦ charFun (↑(μ n)) t) atTop (𝓝 (charFun (↑μ₀) t))
⊢ ContinuousAt (charFun ↑μ₀) 0

Tactic:
by fun_prop

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

Goal state before:
pp: E : Type u_1
inst✝⁴ : NormedAddCommGroup E
inst✝³ : InnerProductSpace ℝ E
inst✝² : FiniteDimensional ℝ E
inst✝¹ : MeasurableSpace E
inst✝ : BorelSpace E
μ₀ : ProbabilityMeasure E
μ : ℕ → ProbabilityMeasure E
h : ∀ (t : E), Tendsto (fun n ↦ charFun (↑(μ n)) t) atTop (𝓝 (charFun (↑μ₀) t))
⊢ Tendsto μ atTop (𝓝 μ₀)

Tactic:
by
  have h_tight : IsTightMeasureSet (𝓧 := E) {μ n | n} :=
    isTightMeasureSet_of_tendsto_charFun (by fun_prop) h
  refine tendsto_of_tight_of_separatesPoints h_tight (𝕜 := ℂ)
    (A := charPoly continuous_probChar (L := innerₗ E) continuous_inner) ?_ ?_
  · refine separatesPoints_charPoly continuous_probChar probChar_ne_one _ ?_
    exact fun v hv ↦ DFunLike.ne_iff.mpr ⟨v, inner_self_ne_zero.mpr hv⟩
  · exact fun g ↦ tendsto_charPoly_of_tendsto_charFun h

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

Goal state before:
pp: α : Type u_1
mα : MeasurableSpace α
μ : Measure α
f g : α → ℝ≥0∞
inst✝ : IsFiniteMeasure (μ.withDensity g)
hf : Measurable f
hg : Measurable g
t : Set α := {x | f x ≤ g x}
ht : MeasurableSet t
⊢ Measurable (f - g)

Tactic:
by fun_prop

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

Goal state before:
pp: case h₁.h₂
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))
⊢ NullMeasurableSet (⋃ n ∈ Finset.range (N + 1), f n) μ

Tactic:
· exact MeasurableSet.biUnion (countable_coe_iff.1 inferInstance)
                      (fun n _ ↦ (hf n).1.nullMeasurableSet)

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
this : {μ | μ.mass = C ∧ ∀ (n : ℕ), μ (K n)ᶜ ≤ u n} = {μ | μ.mass ≤ C ∧ ∀ (n : ℕ), μ (K n)ᶜ ≤ u n} ∩ {μ | μ.mass = C}
⊢ Continuous[FiniteMeasure.instTopologicalSpace, _] mass

Tactic:
by fun_prop

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
this : {μ | μ.mass = C ∧ ∀ (n : ℕ), μ (K n)ᶜ ≤ u n} = {μ | μ.mass ≤ C ∧ ∀ (n : ℕ), μ (K n)ᶜ ≤ u n} ∩ {μ | μ.mass = C}
⊢ Continuous[FiniteMeasure.instTopologicalSpace, _] fun μ ↦ C

Tactic:
by fun_prop

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
hu : Tendsto u atTop (𝓝 0)
hK : ∀ (n : ℕ), IsCompact (K n)
h : NormalSpace E ∨ Monotone K
⊢ ProbabilityMeasure.toFiniteMeasure '' {μ | ∀ (n : ℕ), μ (K n)ᶜ ≤ u n} = {μ | μ.mass = 1 ∧ ∀ (n : ℕ), μ (K n)ᶜ ≤ u n}

Tactic:
ext μ

Goal state after:
E : Type u_1
inst✝³ : MeasurableSpace E
inst✝² : TopologicalSpace E
inst✝¹ : T2Space E
inst✝ : BorelSpace E
u : ℕ → ℝ≥0
K : ℕ → Set E
hu : Tendsto u atTop (𝓝 0)
hK : ∀ (n : ℕ), IsCompact (K n)
h : NormalSpace E ∨ Monotone K
μ : FiniteMeasure E
⊢ μ ∈ ProbabilityMeasure.toFiniteMeasure '' {μ | ∀ (n : ℕ), μ (K n)ᶜ ≤ u n} ↔
    μ ∈ {μ | μ.mass = 1 ∧ ∀ (n : ℕ), μ (K n)ᶜ ≤ u n}
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 ν : VectorMeasure X V
inst✝ : ContinuousAdd V
⊢ (μ + ν).variation ≤ μ.variation + ν.variation

Tactic:
refine variation_le_of_forall_enorm_le fun E _ => ?_
  calc
    _ ≤ ‖μ E‖ₑ + ‖ν E‖ₑ := enorm_add_le _ _
    _ ≤ μ.variation E + ν.variation E := by
      gcongr <;> exact enorm_measure_le_variation _ E

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 : TopologicalSpace V
inst✝¹ : ENormedAddCommMonoid V
inst✝ : T2Space V
μ : VectorMeasure X V
h : μ.variation = 0
s : Set X
hs : MeasurableSet s
⊢ ‖μ s‖ₑ ≤ 0

Tactic:
enorm_measure_le_variation

Goal state after:
X : Type u_1
V : Type u_2
mX : MeasurableSpace X
inst✝² : TopologicalSpace V
inst✝¹ : ENormedAddCommMonoid V
inst✝ : T2Space V
μ : VectorMeasure X V
h : μ.variation = 0
s : Set X
hs : MeasurableSet s
⊢ μ.variation s ≤ 0
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
⊢ (μ.map φ).variation (s ∩ Set.range φ) + 0 = (μ.map φ).variation (s ∩ Set.range φ)

Tactic:
add_zero

Goal state after:
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
⊢ (μ.map φ).variation (s ∩ Set.range φ) = (μ.map φ).variation (s ∩ Set.range φ)
Module: Mathlib.MeasureTheory.VectorMeasure.Variation.Basic

Goal state before:
pp: X : Type u_1
V : Type u_2
mX : MeasurableSpace X
inst✝² : TopologicalSpace V
inst✝¹ : ENormedAddCommMonoid V
inst✝ : T2Space V
x : X
v : V
s : Set X
hs : MeasurableSet s
⊢ ‖(dirac x v) s‖ₑ ≤ (‖v‖ₑ • Measure.dirac x) s

Tactic:
by_cases hx : x ∈ s <;> simp [hs, hx]

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 : TopologicalSpace V
inst✝¹ : ENormedAddCommMonoid V
inst✝ : T2Space V
x : X
v : V
s : Set X
hs : MeasurableSet s
⊢ (‖v‖ₑ • Measure.dirac x) s ≤ ‖(dirac x v) s‖ₑ

Tactic:
by_cases hx : x ∈ s <;> simp [hs, hx]

Goal state after:
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
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
⊢ ⋃ i, ⋃ (_ : i ≤ km (δ_inv + 1)), closure[PseudoMetricSpace.toUniformSpace.toTopologicalSpace] (ball (D i) (u δ_inv)) ⊆
    ⋃ i, ⋃ (_ : i ≤ km (δ_inv + 1)), ball (D i) δ

Tactic:
by
        gcongr
        exact closure_ball_subset_closedBall.trans <| closedBall_subset_ball <| hδ_inv

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}
s : MeasuredSets μ
ht : ↑s ∈ C
⊢ ↑s ∈ C

Tactic:
exact ht

Goal state after: