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

Goal state before:
pp: case refine_2.inl
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)
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), ⋯⟩
L : Tendsto id (↑f) (𝓝 μ)
n : ℕ
h : NormalSpace E
this : (↑μ).InnerRegular
⊢ ↑(μ (K n)ᶜ) ≤ ↑(u n)

Tactic:
ennreal_coeFn_eq_coeFn_toMeasure,

Goal state after:
case refine_2.inl
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)
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), ⋯⟩
L : Tendsto id (↑f) (𝓝 μ)
n : ℕ
h : NormalSpace E
this : (↑μ).InnerRegular
⊢ ↑μ (K n)ᶜ ≤ ↑(u n)
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
⊢ 0 < ε / 4

Tactic:
by positivity

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
⊢ 0 < 4 * δ⁻¹

Tactic:
by positivity

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

Goal state before:
pp: X : Type u_1
inst✝ : MeasurableSpace X
f : Set X → ℝ≥0∞
s : Set X
hs : MeasurableSet s
ε : ℝ≥0
hε : 0 < ε
h : preVariationFun f s ≠ ∞
ε' : ℝ≥0 := min ε (preVariationFun f s).toNNReal
hε' : ↑ε' ≤ preVariationFun f s
this✝ : ε' ≤ ε
hw : preVariationFun f s ≠ 0
this : 0 < ε'
a : ℝ≥0∞ := preVariationFun f s - ↑ε'
⊢ ↑ε' ≠ 0

Tactic:
by positivity

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
x : ℝ
hx : x ∈ Set.Ioc (-(2 * r⁻¹)) (2 * r⁻¹)
⊢ 0 < 2

Tactic:
by positivity

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
x : ℝ
hx : x ∈ Set.Ioc (-(2 * r⁻¹)) (2 * r⁻¹)
⊢ 0 < δ / 2

Tactic:
by positivity

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)
this : infDist a (⇑(algebraMap 𝕜 A) '' μ.support) ≤ ‖(algebraMap 𝕜 A) x - a‖
⊢ 0 < infDist a (⇑(algebraMap 𝕜 A) '' μ.support)

Tactic:
by positivity

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)
⊢ 0 < infDist a (⇑(algebraMap 𝕜 A) '' μ.support) / 2

Tactic:
by positivity

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

Goal state before:
pp: X : Type u_1
E : Type u_2
m : MeasurableSpace X
inst✝ : NormedAddCommGroup E
μ : Measure X
p : ℝ≥0∞
one_le_p : Fact (1 ≤ p)
p_ne_top : Fact (p ≠ ∞)
𝒜 : Set (Set X)
h𝒜 : μ.MeasureDense 𝒜
c : E
hc : c ≠ 0
p_pos : 0 < p
s : Set X
ms : MeasurableSet s
hμs : μ s ≠ ∞
ε : ℝ
hε : ε > 0
aux : 0 < (ε / ‖c‖) ^ p.toReal
t : Set X
ht : t ∈ 𝒜
hμt : μ t ≠ ∞
hμst : μ (s ∆ t) < ENNReal.ofReal ((ε / ‖c‖) ^ p.toReal)
⊢ 0 ≤ (ε / ‖c‖) ^ p.toReal

Tactic:
by positivity

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

Goal state before:
pp: X : Type u_1
E : Type u_2
m : MeasurableSpace X
inst✝ : NormedAddCommGroup E
μ : Measure X
p : ℝ≥0∞
one_le_p : Fact (1 ≤ p)
p_ne_top : Fact (p ≠ ∞)
𝒜 : Set (Set X)
h𝒜 : μ.MeasureDense 𝒜
c : E
hc : c ≠ 0
p_pos : 0 < p
s : Set X
ms : MeasurableSet s
hμs : μ s ≠ ∞
ε : ℝ
hε : ε > 0
aux : 0 < (ε / ‖c‖) ^ p.toReal
t : Set X
ht : t ∈ 𝒜
hμt : μ t ≠ ∞
hμst : μ (s ∆ t) < ENNReal.ofReal ((ε / ‖c‖) ^ p.toReal)
⊢ 0 ≤ ε / ‖c‖

Tactic:
by positivity

Goal state after:
Module: Mathlib.MeasureTheory.Measure.Typeclasses.ZeroOne

Goal state before:
pp: case inl.inl.inl
α : Type u_1
mα : MeasurableSpace α
μ : Measure α
inst✝ : IsZeroOneMeasure μ
s t : Set α
hs : MeasurableSet s
ht : MeasurableSet t
hμs : μ s = 1
hμt : μ t = 1
this✝ : μ (s ∩ t) ≤ μ s
this : μ (s ∩ t) ≤ μ t
h✝² : μ s = 0
h✝¹ : μ t = 0
h✝ : μ (s ∩ t) = 0
⊢ μ (s ∩ t) = 1

pp: case inl.inl.inr
α : Type u_1
mα : MeasurableSpace α
μ : Measure α
inst✝ : IsZeroOneMeasure μ
s t : Set α
hs : MeasurableSet s
ht : MeasurableSet t
hμs : μ s = 1
hμt : μ t = 1
this✝ : μ (s ∩ t) ≤ μ s
this : μ (s ∩ t) ≤ μ t
h✝² : μ s = 0
h✝¹ : μ t = 0
h✝ : μ (s ∩ t) = 1
⊢ μ (s ∩ t) = 1

pp: case inl.inr.inl
α : Type u_1
mα : MeasurableSpace α
μ : Measure α
inst✝ : IsZeroOneMeasure μ
s t : Set α
hs : MeasurableSet s
ht : MeasurableSet t
hμs : μ s = 1
hμt✝ : μ t = 1
this✝ : μ (s ∩ t) ≤ μ s
this : μ (s ∩ t) ≤ μ t
h✝¹ : μ s = 0
hμt : μ t = 1
h✝ : μ (s ∩ t) = 0
⊢ μ (s ∩ t) = 1

pp: case inl.inr.inr
α : Type u_1
mα : MeasurableSpace α
μ : Measure α
inst✝ : IsZeroOneMeasure μ
s t : Set α
hs : MeasurableSet s
ht : MeasurableSet t
hμs : μ s = 1
hμt✝ : μ t = 1
this✝ : μ (s ∩ t) ≤ μ s
this : μ (s ∩ t) ≤ μ t
h✝¹ : μ s = 0
hμt : μ t = 1
h✝ : μ (s ∩ t) = 1
⊢ μ (s ∩ t) = 1

pp: case inr.inl.inl
α : Type u_1
mα : MeasurableSpace α
μ : Measure α
inst✝ : IsZeroOneMeasure μ
s t : Set α
hs : MeasurableSet s
ht : MeasurableSet t
hμs✝ : μ s = 1
hμt : μ t = 1
this✝ : μ (s ∩ t) ≤ μ s
this : μ (s ∩ t) ≤ μ t
hμs : μ s = 1
h✝¹ : μ t = 0
h✝ : μ (s ∩ t) = 0
⊢ μ (s ∩ t) = 1

pp: case inr.inl.inr
α : Type u_1
mα : MeasurableSpace α
μ : Measure α
inst✝ : IsZeroOneMeasure μ
s t : Set α
hs : MeasurableSet s
ht : MeasurableSet t
hμs✝ : μ s = 1
hμt : μ t = 1
this✝ : μ (s ∩ t) ≤ μ s
this : μ (s ∩ t) ≤ μ t
hμs : μ s = 1
h✝¹ : μ t = 0
h✝ : μ (s ∩ t) = 1
⊢ μ (s ∩ t) = 1

pp: case inr.inr.inl
α : Type u_1
mα : MeasurableSpace α
μ : Measure α
inst✝ : IsZeroOneMeasure μ
s t : Set α
hs : MeasurableSet s
ht : MeasurableSet t
hμs✝ : μ s = 1
hμt✝ : μ t = 1
this✝ : μ (s ∩ t) ≤ μ s
this : μ (s ∩ t) ≤ μ t
hμs : μ s = 1
hμt : μ t = 1
h✝ : μ (s ∩ t) = 0
⊢ μ (s ∩ t) = 1

pp: case inr.inr.inr
α : Type u_1
mα : MeasurableSpace α
μ : Measure α
inst✝ : IsZeroOneMeasure μ
s t : Set α
hs : MeasurableSet s
ht : MeasurableSet t
hμs✝ : μ s = 1
hμt✝ : μ t = 1
this✝ : μ (s ∩ t) ≤ μ s
this : μ (s ∩ t) ≤ μ t
hμs : μ s = 1
hμt : μ t = 1
h✝ : μ (s ∩ t) = 1
⊢ μ (s ∩ t) = 1

Tactic:
all_goals try simp_all only [zero_le, zero_ne_one]

Goal state after:
case inr.inr.inl
α : Type u_1
mα : MeasurableSpace α
μ : Measure α
inst✝ : IsZeroOneMeasure μ
s t : Set α
hs : MeasurableSet s
ht : MeasurableSet t
hμs : μ s = 1
hμt : μ t = 1
h✝ : μ (s ∩ t) = 0
⊢ False
Module: Mathlib.MeasureTheory.Measure.Typeclasses.ZeroOne

Goal state before:
pp: α : Type u_1
mα : MeasurableSpace α
μ : Measure α
inst✝² : IsZeroOneMeasure μ
inst✝¹ : StandardBorelSpace α
inst✝ : NeZero μ
this : IsProbabilityMeasure μ
A : ℕ → Set α
hAm : ∀ (n : ℕ), MeasurableSet (A n)
hAsep : ∀ x ∈ univ, ∀ y ∈ univ, (∀ (n : ℕ), x ∈ A n ↔ y ∈ A n) → x = y
B : ℕ → Set α := fun n ↦ if h : μ (A n) = 1 then A n else (A n)ᶜ
mBn : MeasurableSet (⋂ n, B n)
hBn : μ (⋂ n, B n) = 1
neBn : (⋂ n, B n).Nonempty
y : α
hy : y ∈ ⋂ n, B n
n : ℕ
⊢ y ∈ A n ↔ neBn.some ∈ A n

Tactic:
have hsome := neBn.some_mem

Goal state after:
α : Type u_1
mα : MeasurableSpace α
μ : Measure α
inst✝² : IsZeroOneMeasure μ
inst✝¹ : StandardBorelSpace α
inst✝ : NeZero μ
this : IsProbabilityMeasure μ
A : ℕ → Set α
hAm : ∀ (n : ℕ), MeasurableSet (A n)
hAsep : ∀ x ∈ univ, ∀ y ∈ univ, (∀ (n : ℕ), x ∈ A n ↔ y ∈ A n) → x = y
B : ℕ → Set α := fun n ↦ if h : μ (A n) = 1 then A n else (A n)ᶜ
mBn : MeasurableSet (⋂ n, B n)
hBn : μ (⋂ n, B n) = 1
neBn : (⋂ n, B n).Nonempty
y : α
hy : y ∈ ⋂ n, B n
n : ℕ
hsome : neBn.some ∈ ⋂ n, B n
⊢ y ∈ A n ↔ neBn.some ∈ A n
Module: Mathlib.MeasureTheory.Measure.SeparableMeasure

Goal state before:
pp: case ac
X : Type u_1
m : MeasurableSpace X
μ : Measure X
𝒜 : Set (Set X)
h𝒜 : IsSetAlgebra 𝒜
S : μ.FiniteSpanningSetsIn 𝒜
hgen : m = MeasurableSpace.generateFrom 𝒜
s : Set X
ms : MeasurableSet s
hμs : μ s ≠ ∞
ε : ℝ
ε_pos : 0 < ε
T : ℕ → Set X := accumulate S.set
T_mem : ∀ (n : ℕ), T n ∈ 𝒜
T_finite : ∀ (n : ℕ), μ (T n) < ∞
T_spanning : ⋃ n, T n = univ
mono : Monotone fun n ↦ T n ∩ s
this✝ : Filter.Tendsto (fun n ↦ ((⇑μ ∘ fun n ↦ T n ∩ s) n).toReal) Filter.atTop (nhds (μ (⋃ n, T n ∩ s)).toReal)
N : ℕ
hN : ∀ n ≥ N, dist ((⇑μ ∘ fun n ↦ T n ∩ s) n).toReal (μ (⋃ n, T n ∩ s)).toReal < ε / 2
this : Fact (μ (T N) < ∞)
t : Set X
t_mem : t ∈ 𝒜
ht : (μ.restrict (T N)) (s ∆ t) < ENNReal.ofReal (ε / 2)
⊢ dist (μ (univ ∩ s)).toReal (μ (s ∩ T N)).toReal < ε / 2

Tactic:
rw [inter_comm s, dist_comm, ← T_spanning, iUnion_inter _ T]

Goal state after:
case ac
X : Type u_1
m : MeasurableSpace X
μ : Measure X
𝒜 : Set (Set X)
h𝒜 : IsSetAlgebra 𝒜
S : μ.FiniteSpanningSetsIn 𝒜
hgen : m = MeasurableSpace.generateFrom 𝒜
s : Set X
ms : MeasurableSet s
hμs : μ s ≠ ∞
ε : ℝ
ε_pos : 0 < ε
T : ℕ → Set X := accumulate S.set
T_mem : ∀ (n : ℕ), T n ∈ 𝒜
T_finite : ∀ (n : ℕ), μ (T n) < ∞
T_spanning : ⋃ n, T n = univ
mono : Monotone fun n ↦ T n ∩ s
this✝ : Filter.Tendsto (fun n ↦ ((⇑μ ∘ fun n ↦ T n ∩ s) n).toReal) Filter.atTop (nhds (μ (⋃ n, T n ∩ s)).toReal)
N : ℕ
hN : ∀ n ≥ N, dist ((⇑μ ∘ fun n ↦ T n ∩ s) n).toReal (μ (⋃ n, T n ∩ s)).toReal < ε / 2
this : Fact (μ (T N) < ∞)
t : Set X
t_mem : t ∈ 𝒜
ht : (μ.restrict (T N)) (s ∆ t) < ENNReal.ofReal (ε / 2)
⊢ dist (μ (T N ∩ s)).toReal (μ (⋃ i, T i ∩ s)).toReal < ε / 2
Module: Mathlib.MeasureTheory.Measure.SeparableMeasure

Goal state before:
pp: case refine_2.empty
X : Type u_1
m : MeasurableSpace X
μ : Measure X
inst✝¹ : CountablyGenerated X
inst✝ : SigmaFinite μ
h : (countableGeneratingSet X).Countable
hgen : MeasurableSpace.generateFrom (countableGeneratingSet X) = m
𝒜 : Set (Set X) := countableGeneratingSet X ∪ {x | ∃ n, μ.toFiniteSpanningSetsIn.set n = x}
count_𝒜 : 𝒜.Countable
s : Set X
⊢ MeasurableSet ∅

Tactic:
exact MeasurableSet.empty

Goal state after:
Module: Mathlib.MeasureTheory.OuterMeasure.OfAddContent

Goal state before:
pp: α : Type u_1
C : Set (Set α)
s : Set α
hC : IsSetSemiring C
m : AddContent ℝ≥0∞ C
m_sigma_subadd : m.IsSigmaSubadditive
m_top : ∀ s ∉ C, m s = ∞
hs : s ∈ C
f : ℕ → Set α
hf : ∀ (i : ℕ), f i ∈ C
hs_subset : s ⊆ ⋃ i, f i
⊢ m (s ∩ ⋃ i, f i) = m (⋃ i, s ∩ f i)

Tactic:
inter_iUnion

Goal state after:
α : Type u_1
C : Set (Set α)
s : Set α
hC : IsSetSemiring C
m : AddContent ℝ≥0∞ C
m_sigma_subadd : m.IsSigmaSubadditive
m_top : ∀ s ∉ C, m s = ∞
hs : s ∈ C
f : ℕ → Set α
hf : ∀ (i : ℕ), f i ∈ C
hs_subset : s ⊆ ⋃ i, f i
⊢ m (⋃ i, s ∩ f i) = m (⋃ i, s ∩ f i)
Module: Mathlib.MeasureTheory.Measure.Prokhorov

Goal state before:
pp: case h
𝓧 : Type u_1
m𝓧 : MeasurableSpace 𝓧
inst✝² : PseudoMetricSpace 𝓧
inst✝¹ : OpensMeasurableSpace 𝓧
inst✝ : SecondCountableTopology 𝓧
S : Set (ProbabilityMeasure 𝓧)
U : ℕ → Set 𝓧
O : ∀ (i : ℕ), IsOpen[PseudoMetricSpace.toUniformSpace.toTopologicalSpace] (U i)
Cov : ⋃ i, U i = univ
hcomp : IsCompact (closure[ProbabilityMeasure.instTopologicalSpace] S)
ε : ℝ
hε' : 0 ≤ ε
hε : 0 < ε
hεbound : ε ≤ 1
μ : ℕ → ProbabilityMeasure 𝓧
hμInS : ∀ (k : ℕ), μ k ∈ S
hcontradiction : ∀ (k : ℕ), ↑((μ k) (⋃ i, ⋃ (_ : i ≤ k), U i)) ≤ 1 - ↑(NNReal.mk ε hε')
μlim : ProbabilityMeasure 𝓧
left✝ : μlim ∈ closure[ProbabilityMeasure.instTopologicalSpace] S
sub : ℕ → ℕ
hsubmono : StrictMono sub
hμconverges : Tendsto (μ ∘ sub) atTop (𝓝 μlim)
n : ℕ
b : ℝ
c : ℕ
h : ∀ (b_1 : ℕ), c ≤ b_1 → b ≤ ↑((μ (sub b_1)) (⋃ i, ⋃ (_ : i ≤ sub b_1), U i))
⊢ ENNReal.ofReal ↑((μ (sub c)) (⋃ i, ⋃ (_ : i ≤ sub c), U i)) ≤ ENNReal.ofReal (1 - ε)

Tactic:
ofReal_coe_nnreal

Goal state after:
case h
𝓧 : Type u_1
m𝓧 : MeasurableSpace 𝓧
inst✝² : PseudoMetricSpace 𝓧
inst✝¹ : OpensMeasurableSpace 𝓧
inst✝ : SecondCountableTopology 𝓧
S : Set (ProbabilityMeasure 𝓧)
U : ℕ → Set 𝓧
O : ∀ (i : ℕ), IsOpen[PseudoMetricSpace.toUniformSpace.toTopologicalSpace] (U i)
Cov : ⋃ i, U i = univ
hcomp : IsCompact (closure[ProbabilityMeasure.instTopologicalSpace] S)
ε : ℝ
hε' : 0 ≤ ε
hε : 0 < ε
hεbound : ε ≤ 1
μ : ℕ → ProbabilityMeasure 𝓧
hμInS : ∀ (k : ℕ), μ k ∈ S
hcontradiction : ∀ (k : ℕ), ↑((μ k) (⋃ i, ⋃ (_ : i ≤ k), U i)) ≤ 1 - ↑(NNReal.mk ε hε')
μlim : ProbabilityMeasure 𝓧
left✝ : μlim ∈ closure[ProbabilityMeasure.instTopologicalSpace] S
sub : ℕ → ℕ
hsubmono : StrictMono sub
hμconverges : Tendsto (μ ∘ sub) atTop (𝓝 μlim)
n : ℕ
b : ℝ
c : ℕ
h : ∀ (b_1 : ℕ), c ≤ b_1 → b ≤ ↑((μ (sub b_1)) (⋃ i, ⋃ (_ : i ≤ sub b_1), U i))
⊢ ↑((μ (sub c)) (⋃ i, ⋃ (_ : i ≤ sub c), U i)) ≤ ENNReal.ofReal (1 - ε)
Module: Mathlib.MeasureTheory.VectorMeasure.Variation.Basic

Goal state before:
pp: case refine_1
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
s : Set X
hs : MeasurableSet s
a : ℝ≥0∞
ha : a < preVariationFun (fun x ↦ ‖μ x‖ₑ) s
P : Finpartition ⟨s, hs⟩
hP : a < ∑ p ∈ P.parts, (fun x ↦ ‖μ x‖ₑ) ↑p
⊢ ∀ t ∈ Finset.map (Function.Embedding.subtype MeasurableSet) P.parts, t ⊆ s

pp: case refine_2
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
s : Set X
hs : MeasurableSet s
a : ℝ≥0∞
ha : a < preVariationFun (fun x ↦ ‖μ x‖ₑ) s
P : Finpartition ⟨s, hs⟩
hP : a < ∑ p ∈ P.parts, (fun x ↦ ‖μ x‖ₑ) ↑p
⊢ (↑(Finset.map (Function.Embedding.subtype MeasurableSet) P.parts)).PairwiseDisjoint id

pp: case refine_3
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
s : Set X
hs : MeasurableSet s
a : ℝ≥0∞
ha : a < preVariationFun (fun x ↦ ‖μ x‖ₑ) s
P : Finpartition ⟨s, hs⟩
hP : a < ∑ p ∈ P.parts, (fun x ↦ ‖μ x‖ₑ) ↑p
⊢ ∀ t ∈ Finset.map (Function.Embedding.subtype MeasurableSet) P.parts, MeasurableSet t

pp: case refine_4
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
s : Set X
hs : MeasurableSet s
a : ℝ≥0∞
ha : a < preVariationFun (fun x ↦ ‖μ x‖ₑ) s
P : Finpartition ⟨s, hs⟩
hP : a < ∑ p ∈ P.parts, (fun x ↦ ‖μ x‖ₑ) ↑p
⊢ a < ∑ p ∈ Finset.map (Function.Embedding.subtype MeasurableSet) P.parts, ‖μ p‖ₑ

Tactic:
· simp only [mem_map, Function.Embedding.subtype_apply, Subtype.exists, exists_and_right,
      exists_eq_right, forall_exists_index]
    intro t ht h't
    exact P.le h't

Goal state after:
case refine_2
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
s : Set X
hs : MeasurableSet s
a : ℝ≥0∞
ha : a < preVariationFun (fun x ↦ ‖μ x‖ₑ) s
P : Finpartition ⟨s, hs⟩
hP : a < ∑ p ∈ P.parts, (fun x ↦ ‖μ x‖ₑ) ↑p
⊢ (↑(Finset.map (Function.Embedding.subtype MeasurableSet) P.parts)).PairwiseDisjoint id

case refine_3
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
s : Set X
hs : MeasurableSet s
a : ℝ≥0∞
ha : a < preVariationFun (fun x ↦ ‖μ x‖ₑ) s
P : Finpartition ⟨s, hs⟩
hP : a < ∑ p ∈ P.parts, (fun x ↦ ‖μ x‖ₑ) ↑p
⊢ ∀ t ∈ Finset.map (Function.Embedding.subtype MeasurableSet) P.parts, MeasurableSet t

case refine_4
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
s : Set X
hs : MeasurableSet s
a : ℝ≥0∞
ha : a < preVariationFun (fun x ↦ ‖μ x‖ₑ) s
P : Finpartition ⟨s, hs⟩
hP : a < ∑ p ∈ P.parts, (fun x ↦ ‖μ x‖ₑ) ↑p
⊢ a < ∑ p ∈ Finset.map (Function.Embedding.subtype MeasurableSet) P.parts, ‖μ p‖ₑ
Module: Mathlib.MeasureTheory.VectorMeasure.Variation.Basic

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

Tactic:
by positivity

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

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

Tactic:
by positivity

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
m : Set α → E
hm : ∀ (s : Set α), ‖m s‖ₑ ≤ μ s
inst✝ : IsFiniteMeasure μ
h'm : ∀ (s t : Set α), MeasurableSet s → MeasurableSet t → Disjoint s t → m (s ∪ t) = m s + m t
h''m : ∀ (s : Set α), ¬MeasurableSet s → m s = 0
f : ℕ → Set α
f_meas : ∀ (i : ℕ), MeasurableSet (f i)
f_disj : Pairwise (Function.onFun Disjoint f)
⊢ Summable fun i ↦ ‖m (f i)‖

Tactic:
simp only [← toReal_enorm]
      apply ENNReal.summable_toReal
      apply ne_of_lt
      calc ∑' i, ‖m (f i)‖ₑ
      _ ≤ ∑' i, μ (f i) := by gcongr; apply hm
      _ = μ (⋃ i, f i) := (measure_iUnion f_disj f_meas).symm
      _ < ⊤ := measure_lt_top μ (⋃ i, f i)

Goal state after:
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
hs : MeasurableSet s
⊢ ⨆ P, ∑ p ∈ P.parts, μ ↑p = μ s

Tactic:
by
  simp_rw [μ.sum_finpartition, iSup_const]

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

Goal state before:
pp: X : Type u_1
E : Type u_2
inst✝¹ : NormedAddCommGroup E
inst✝ : NormedSpace ℝ E
mX : MeasurableSpace X
μ : VectorMeasure X E
s : Set X
ℓ : StrongDual ℝ E
hℓ : ℓ ∈ {ℓ | ‖ℓ‖ₑ ≤ 1}
t : Set X
ht : MeasurableSet t
⊢ 0 ≤ ‖μ t‖ₑ

Tactic:
by positivity

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

Goal state before:
pp: X : Type u_1
E : Type u_2
inst✝¹ : NormedAddCommGroup E
inst✝ : NormedSpace ℝ E
mX : MeasurableSpace X
μ : VectorMeasure X E
s : Set X
hs : MeasurableSet s
a : ℝ≥0∞
ha : a < μ.semivariation s
ℓ : StrongDual ℝ E
hℓ : ℓ ∈ {ℓ | ‖ℓ‖ₑ ≤ 1}
h'ℓ : a < (μ.mapRange ↑ℓ ⋯).variation s
t : Set X
ts : t ⊆ s
t_meas : MeasurableSet t
ht : a < 2 * ‖(μ.mapRange ↑ℓ ⋯) t‖ₑ
⊢ 0 ≤ ‖μ t‖ₑ

Tactic:
by positivity

Goal state after: