mathlib-initiative/mathlib-tactics huggingface dataset:
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
this : ρ = ρ.restrict ((partialSups K) n)ᶜ + ∑ i ∈ Finset.range (n + 1), ρ.restrict (disjointed K i)
⊢ ∫ (x : E), ‖g x‖ ∂↑(ρ.restrict ((partialSups K) n)ᶜ) ≤ ∫ (x : E), ‖g‖ ∂↑(ρ.restrict ((partialSups K) n)ᶜ)

Tactic:
by
          apply integral_mono_of_nonneg
          · filter_upwards with x using by positivity
          · simp
          · filter_upwards with x using norm_coe_le_norm g x

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

Goal state before:
pp: E : Type u_1
mE : MeasurableSpace E
inst✝⁵ : NormedAddCommGroup E
𝕜 : Type u_2
inst✝⁴ : RCLike 𝕜
inst✝³ : InnerProductSpace 𝕜 E
inst✝² : FiniteDimensional 𝕜 E
inst✝¹ : BorelSpace E
μ : ℕ → Measure E
inst✝ : ∀ (i : ℕ), IsFiniteMeasure (μ i)
h : ∀ (y : E), ‖y‖ = 1 → Tendsto (fun r ↦ limsup (fun n ↦ (μ n).real {x | r < ‖⟪y, x⟫_𝕜‖}) atTop) atTop (𝓝 0)
C : ℝ≥0
hμ : ∀ᶠ (n : ℕ) in atTop, (μ n) Set.univ ≤ ↑C
z : E
hz : ‖z‖ = 1
r : ℝ
⊢ limsup (fun n ↦ (μ n) {x | r < ‖⟪z, x⟫_𝕜‖}) atTop =
    ENNReal.ofReal (limsup (fun n ↦ (μ n).real {x | r < ‖⟪z, x⟫_𝕜‖}) atTop)

Tactic:
measureReal_def

Goal state after:
E : Type u_1
mE : MeasurableSpace E
inst✝⁵ : NormedAddCommGroup E
𝕜 : Type u_2
inst✝⁴ : RCLike 𝕜
inst✝³ : InnerProductSpace 𝕜 E
inst✝² : FiniteDimensional 𝕜 E
inst✝¹ : BorelSpace E
μ : ℕ → Measure E
inst✝ : ∀ (i : ℕ), IsFiniteMeasure (μ i)
h : ∀ (y : E), ‖y‖ = 1 → Tendsto (fun r ↦ limsup (fun n ↦ (μ n).real {x | r < ‖⟪y, x⟫_𝕜‖}) atTop) atTop (𝓝 0)
C : ℝ≥0
hμ : ∀ᶠ (n : ℕ) in atTop, (μ n) Set.univ ≤ ↑C
z : E
hz : ‖z‖ = 1
r : ℝ
⊢ limsup (fun n ↦ (μ n) {x | r < ‖⟪z, x⟫_𝕜‖}) atTop =
    ENNReal.ofReal (limsup (fun n ↦ ((μ n) {x | r < ‖⟪z, x⟫_𝕜‖}).toReal) atTop)
Module: Mathlib.MeasureTheory.Measure.TightNormed

Goal state before:
pp: E : Type u_1
mE : MeasurableSpace E
inst✝⁵ : NormedAddCommGroup E
𝕜 : Type u_2
inst✝⁴ : RCLike 𝕜
inst✝³ : InnerProductSpace 𝕜 E
inst✝² : FiniteDimensional 𝕜 E
inst✝¹ : BorelSpace E
μ : ℕ → Measure E
inst✝ : ∀ (i : ℕ), IsFiniteMeasure (μ i)
h : ∀ (y : E), ‖y‖ = 1 → Tendsto (fun r ↦ limsup (fun n ↦ (μ n).real {x | r < ‖⟪y, x⟫_𝕜‖}) atTop) atTop (𝓝 0)
C : ℝ≥0
hμ : ∀ᶠ (n : ℕ) in atTop, (μ n) Set.univ ≤ ↑C
z : E
hz : ‖z‖ = 1
r : ℝ
⊢ limsup (fun n ↦ (μ n) {x | r < ‖⟪z, x⟫_𝕜‖}) atTop =
    ENNReal.ofReal (limsup (fun n ↦ (μ n).real {x | r < ‖⟪z, x⟫_𝕜‖}) atTop)

Tactic:
simp_rw [measureReal_def]

Goal state after:
E : Type u_1
mE : MeasurableSpace E
inst✝⁵ : NormedAddCommGroup E
𝕜 : Type u_2
inst✝⁴ : RCLike 𝕜
inst✝³ : InnerProductSpace 𝕜 E
inst✝² : FiniteDimensional 𝕜 E
inst✝¹ : BorelSpace E
μ : ℕ → Measure E
inst✝ : ∀ (i : ℕ), IsFiniteMeasure (μ i)
h : ∀ (y : E), ‖y‖ = 1 → Tendsto (fun r ↦ limsup (fun n ↦ (μ n).real {x | r < ‖⟪y, x⟫_𝕜‖}) atTop) atTop (𝓝 0)
C : ℝ≥0
hμ : ∀ᶠ (n : ℕ) in atTop, (μ n) Set.univ ≤ ↑C
z : E
hz : ‖z‖ = 1
r : ℝ
⊢ limsup (fun n ↦ (μ n) {x | r < ‖⟪z, x⟫_𝕜‖}) atTop =
    ENNReal.ofReal (limsup (fun n ↦ ((μ n) {x | r < ‖⟪z, x⟫_𝕜‖}).toReal) atTop)
Module: Mathlib.MeasureTheory.Measure.LevyConvergence

Goal state before:
pp: case hbc
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
⊢ ∫ (t : ℝ) in -(2 * r⁻¹)..2 * r⁻¹, ‖1 - f (t • z)‖ ≤ ∫ (t : ℝ) in -(2 * r⁻¹)..2 * r⁻¹, ε / 4

Tactic:
rw [intervalIntegral.integral_of_le hr', intervalIntegral.integral_of_le hr']

Goal state after:
case hbc
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
⊢ ∫ (x : ℝ) in Set.Ioc (-(2 * r⁻¹)) (2 * r⁻¹), ‖1 - f (x • z)‖ ∂volume ≤
    ∫ (x : ℝ) in Set.Ioc (-(2 * r⁻¹)) (2 * r⁻¹), ε / 4 ∂volume
Module: Mathlib.MeasureTheory.Measure.Support

Goal state before:
pp: X : Type u_1
inst✝² : TopologicalSpace X
inst✝¹ : MeasurableSpace X
μ : Measure X
inst✝ : OpensMeasurableSpace X
s : Set X
⊢ μ ((closure[inst✝²] s)ᶜ ∩ s) = 0

Tactic:
convert! μ.empty

Goal state after:
case e'_1
X : Type u_1
inst✝² : TopologicalSpace X
inst✝¹ : MeasurableSpace X
μ : Measure X
inst✝ : OpensMeasurableSpace X
s : Set X
⊢ (closure[inst✝²] s)ᶜ ∩ s = ∅
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)
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 : Monotone K
this✝¹ : Tendsto (fun m ↦ ∑ i ∈ Finset.range (m + 1), ↑(ν i) (K n)ᶜ) atTop (𝓝 (∑' (i : ℕ), ↑(ν i) (K n)ᶜ))
m : ℕ
hm : n ≤ m
this✝ : ∑ i ∈ Finset.range (m + 1), ↑(ν i) (K n)ᶜ = ∑ i ∈ Finset.Ioc n m, ↑(ν i) (K n)ᶜ
this : ↑(∑ i ∈ Finset.Ioc n m, ν i) univ ≤ ↑(u n)
⊢ ∑ i ∈ Finset.Ioc n m, ↑(ν i) (K n)ᶜ ≤ ↑(u n)

Tactic:
apply le_trans _ this
      simp only [toMeasure_sum, Measure.coe_finsetSum, Finset.sum_apply]
      gcongr
      simp

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

Goal state before:
pp: case inl
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
s : Set X
ms : MeasurableSet s
hμs : μ s ≠ ∞
⊢ indicatorConstLp p ms hμs 0 ∈ {x | ∃ s, ∃ (hs : s ∈ 𝒜) (hμs : μ s ≠ ∞), indicatorConstLp p ⋯ hμs 0 = x}

Tactic:
obtain ⟨t, ht, hμt⟩ := h𝒜.nonempty'

Goal state after:
case inl
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
s : Set X
ms : MeasurableSet s
hμs : μ s ≠ ∞
t : Set X
ht : t ∈ 𝒜
hμt : μ t ≠ ∞
⊢ indicatorConstLp p ms hμs 0 ∈ {x | ∃ s, ∃ (hs : s ∈ 𝒜) (hμs : μ s ≠ ∞), indicatorConstLp p ⋯ hμs 0 = x}
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)
this : 0 < p.toReal
⊢ ‖c‖ * μ.real (s ∆ t) ^ (1 / p.toReal) < ‖c‖ * (ENNReal.ofReal ((ε / ‖c‖) ^ p.toReal)).toReal ^ (1 / p.toReal)

Tactic:
measureReal_def

Goal state after:
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)
this : 0 < p.toReal
⊢ ‖c‖ * (μ (s ∆ t)).toReal ^ (1 / p.toReal) < ‖c‖ * (ENNReal.ofReal ((ε / ‖c‖) ^ p.toReal)).toReal ^ (1 / p.toReal)
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
⊢ μ.withDensity (f - g) = μ.withDensity f - μ.withDensity g

Tactic:
refine le_antisymm ?_ ?_

Goal state after:
case refine_1
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
⊢ μ.withDensity (f - g) ≤ μ.withDensity f - μ.withDensity g

case refine_2
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
⊢ μ.withDensity f - μ.withDensity g ≤ μ.withDensity (f - g)
Module: Mathlib.MeasureTheory.Measure.Typeclasses.ZeroOne

Goal state before:
pp: case mp
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 := ⋯
mBn : MeasurableSet (⋂ n, B n)
hBn : μ (⋂ n, B n) = 1
neBn : (⋂ n, B n).Nonempty
y : α
n : ℕ
hsome : ⋯.some ∈ if μ (A n) = 1 then A n else (A n)ᶜ
hy : y ∈ if μ (A n) = 1 then A n else (A n)ᶜ
⊢ y ∈ A n → neBn.some ∈ A n

pp: case mpr
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 := ⋯
mBn : MeasurableSet (⋂ n, B n)
hBn : μ (⋂ n, B n) = 1
neBn : (⋂ n, B n).Nonempty
y : α
n : ℕ
hsome : ⋯.some ∈ if μ (A n) = 1 then A n else (A n)ᶜ
hy : y ∈ if μ (A n) = 1 then A n else (A n)ᶜ
⊢ neBn.some ∈ A n → y ∈ A n

Tactic:
· intro h
      split_ifs at hy with hμAn
      · simpa [hμAn] using! hsome
      · contradiction

Goal state after:
case mpr
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 := ⋯
mBn : MeasurableSet (⋂ n, B n)
hBn : μ (⋂ n, B n) = 1
neBn : (⋂ n, B n).Nonempty
y : α
n : ℕ
hsome : ⋯.some ∈ if μ (A n) = 1 then A n else (A n)ᶜ
hy : y ∈ if μ (A n) = 1 then A n else (A n)ᶜ
⊢ neBn.some ∈ A n → y ∈ A n
Module: Mathlib.MeasureTheory.VectorMeasure.Variation.Basic

Goal state before:
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:
rwa [Finset.sum_map]

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

Goal state before:
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
ε : ℝ≥0∞
hε : 0 < ε
hμ : preVariationFun (fun x ↦ ‖μ x‖ₑ) s ≠ ∞
P : Finpartition ⟨s, hs⟩
hP : preVariationFun (fun x ↦ ‖μ x‖ₑ) s ≤ ∑ p ∈ P.parts, (fun x ↦ ‖μ x‖ₑ) ↑p + ε
⊢ preVariationFun (fun x ↦ ‖μ x‖ₑ) s ≤ ∑ x ∈ Finset.map (Function.Embedding.subtype MeasurableSet) P.parts, ‖μ x‖ₑ + ε

Tactic:
rwa [Finset.sum_map]

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

Goal state before:
pp: case h₂
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) := ⋯
C'C : ∀ s ∈ C', ↑s ∈ C
C'_dense : Dense C'
m₀ : ↑C' → E := ⋯
s t : ↑C'
this : edist s t = edist ↑s ↑t
Is : ↑↑s ∩ ↑↑t ∪ ↑↑s \ ↑↑t = ↑↑s
It : ↑↑t ∩ ↑↑s ∪ ↑↑t \ ↑↑s = ↑↑t
⊢ ‖m (↑↑t \ ↑↑s)‖ₑ ≤ μ (↑↑t \ ↑↑s)

Tactic:
exact hm _ (hC.sdiff_mem (C'C _ t.2) (C'C _ s.2))

Goal state after:
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 : X → E
inst✝³ : NormedSpace ℝ E
inst✝² : NormedSpace ℝ F
inst✝¹ : NormedSpace ℝ G
B : E →L[ℝ] F →L[ℝ] G
inst✝ : CompleteSpace G
a : X
hf : StronglyMeasurable f
⊢ ∫ᵛ (a : X) in {a}, f a ∂[B; μ] = (B (f a)) (μ {a})

Tactic:
by
  simp only [restrict_singleton, integral_dirac' hf]

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

Goal state before:
pp: X : Type u_1
mX : MeasurableSpace X
μ : SignedMeasure X
i j : Set X
him : MeasurableSet i
hi : μ ≤[i] 0
hjm : MeasurableSet j
this : μ (i ∩ j) ≤ 0
⊢ (μ.toMeasureOfLEZero i him hi) j = ENNReal.ofReal (-μ (i ∩ j))

Tactic:
μ.toMeasureOfLEZero_apply hi him hjm,

Goal state after:
X : Type u_1
mX : MeasurableSpace X
μ : SignedMeasure X
i j : Set X
him : MeasurableSet i
hi : μ ≤[i] 0
hjm : MeasurableSet j
this : μ (i ∩ j) ≤ 0
⊢ ↑(NNReal.mk (-μ (i ∩ j)) ⋯) = ENNReal.ofReal (-μ (i ∩ j))
Module: Mathlib.MeasureTheory.VectorMeasure.SetIntegral

Goal state before:
pp: case pos
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
inst✝² : NormedSpace ℝ E
inst✝¹ : NormedSpace ℝ F
inst✝ : NormedSpace ℝ G
B : E →L[ℝ] F →L[ℝ] G
s : ℕ → Set X
hm : ∀ (i : ℕ), MeasurableSet (s i)
hd : Pairwise (Disjoint on s)
hfi : μ.IntegrableOn f (⋃ i, s i)
hG : CompleteSpace G
I : ∑' (i : ℕ), ‖B‖ₑ * ∫⁻ (x : X) in s i, ‖f x‖ₑ ∂μ.variation < ∞
this : Summable fun n ↦ ∫ᵛ (x : X) in s n, f x ∂[B; μ]
⊢ HasSum (fun n ↦ ∫ᵛ (x : X) in s n, f x ∂[B; μ]) ∫ᵛ (x : X) in ⋃ n, s n, f x ∂[B; μ]

Tactic:
apply (Summable.hasSum_iff_tendsto_nat this).2

Goal state after:
case pos
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
inst✝² : NormedSpace ℝ E
inst✝¹ : NormedSpace ℝ F
inst✝ : NormedSpace ℝ G
B : E →L[ℝ] F →L[ℝ] G
s : ℕ → Set X
hm : ∀ (i : ℕ), MeasurableSet (s i)
hd : Pairwise (Disjoint on s)
hfi : μ.IntegrableOn f (⋃ i, s i)
hG : CompleteSpace G
I : ∑' (i : ℕ), ‖B‖ₑ * ∫⁻ (x : X) in s i, ‖f x‖ₑ ∂μ.variation < ∞
this : Summable fun n ↦ ∫ᵛ (x : X) in s n, f x ∂[B; μ]
⊢ Tendsto (fun n ↦ ∑ i ∈ Finset.range n, ∫ᵛ (x : X) in s i, f x ∂[B; μ]) atTop (𝓝 ∫ᵛ (x : X) in ⋃ n, s n, f x ∂[B; μ])
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✝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
f : X → E
B : E →L[ℝ] F →L[ℝ] G
⊢ (μ.withDensity f B) univ = ∫ᵛ (x : X), f x ∂[B; μ]

Tactic:
by_cases hf : μ.Integrable f
  · simp [withDensity_apply hf]
  · simp [withDensity, hf, integral_undef]

Goal state after:
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
f : X → E
μ : VectorMeasure X F
B C : E →L[ℝ] F →L[ℝ] G
hB : μ.Integrable f
⊢ μ.variation ≤ μ.variation + μ.variation

Tactic:
nth_rw 1 [← add_zero μ.variation]

Goal state after:
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
f : X → E
μ : VectorMeasure X F
B C : E →L[ℝ] F →L[ℝ] G
hB : μ.Integrable f
⊢ μ.variation + 0 ≤ μ.variation + μ.variation
Module: Mathlib.MeasureTheory.VectorMeasure.Integral

Goal state before:
pp: case pos
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
β : Type u_8
f : β → X → E
s : Set β
b : β
hb : b ∈ s
⊢ ∫ᵛ (y : X), s.indicator (fun x ↦ f x y) b ∂[B; μ] = s.indicator (fun x ↦ ∫ᵛ (y : X), f x y ∂[B; μ]) b

Tactic:
simp [hb]

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

Goal state before:
pp: case neg
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
β : Type u_8
f : β → X → E
s : Set β
b : β
hb : b ∉ s
⊢ ∫ᵛ (y : X), s.indicator (fun x ↦ f x y) b ∂[B; μ] = s.indicator (fun x ↦ ∫ᵛ (y : X), f x y ∂[B; μ]) b

Tactic:
simp [hb]

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

Goal state before:
pp: case e_f
X : Type u_2
E : Type u_4
F : Type u_5
G : Type u_6
mX : MeasurableSpace X
inst✝⁷ : NormedAddCommGroup E
inst✝⁶ : NormedSpace ℝ E
inst✝⁵ : NormedAddCommGroup F
inst✝⁴ : NormedSpace ℝ F
inst✝³ : NormedAddCommGroup G
inst✝² : NormedSpace ℝ G
f : X → E
μ : VectorMeasure X F
B : E →L[ℝ] F →L[ℝ] G
inst✝¹ : Unique X
inst✝ : CompleteSpace G
x : X
⊢ x = default

Tactic:
exact Unique.uniq _ x

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

Goal state before:
pp: case neg
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
hμ : ¬μ.variation = 0
this : (ae μ.variation).NeBot
⊢ ‖B‖ * (∫⁻ (a : X), ENNReal.ofReal C ∂μ.variation).toReal = ‖B‖ * (C * μ.variation.real univ)

Tactic:
have hC : 0 ≤ C := by
      obtain ⟨x, hx⟩ := h.exists
      exact (norm_nonneg _).trans hx

Goal state after:
case neg
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
hμ : ¬μ.variation = 0
this : (ae μ.variation).NeBot
hC : 0 ≤ C
⊢ ‖B‖ * (∫⁻ (a : X), ENNReal.ofReal C ∂μ.variation).toReal = ‖B‖ * (C * μ.variation.real univ)
Module: Mathlib.ModelTheory.Arithmetic.Presburger.Semilinear.Basic

Goal state before:
pp: M : Type u_1
inst✝⁴ : AddCommMonoid M
inst✝³ : PartialOrder M
inst✝² : WellQuasiOrderedLE M
inst✝¹ : IsOrderedCancelAddMonoid M
inst✝ : CanonicallyOrderedAdd M
s : Set M
hs : IsSlice s
hs' : s.Nonempty
f : M → AddSubmonoid M :=
  fun x ↦ if hx : x ∈ s then { carrier := {y | x + y ∈ s}, add_mem' := ⋯, zero_mem' := ⋯ } else ⊥
hf : ∀ x ∈ s, ∀ (y : M), y ∈ f x ↔ x + y ∈ s
g : M → AddSemigroupIdeal M := fun x ↦ AddSemigroupIdeal.closure (↑(f x) \ {0})
hg : ∀ x ∈ s, ∀ y ∈ s, x ≤ y → g x ≤ g y
a : M
ha : MaximalFor (fun x ↦ x ∈ s) g a
x : M
hx : a + x ∈ s
y : M
hxy : x + y ∈ f a
⊢ y ∈ f a

Tactic:
rw [hf _ ha.1, ← add_assoc] at hxy

Goal state after:
M : Type u_1
inst✝⁴ : AddCommMonoid M
inst✝³ : PartialOrder M
inst✝² : WellQuasiOrderedLE M
inst✝¹ : IsOrderedCancelAddMonoid M
inst✝ : CanonicallyOrderedAdd M
s : Set M
hs : IsSlice s
hs' : s.Nonempty
f : M → AddSubmonoid M :=
  fun x ↦ if hx : x ∈ s then { carrier := {y | x + y ∈ s}, add_mem' := ⋯, zero_mem' := ⋯ } else ⊥
hf : ∀ x ∈ s, ∀ (y : M), y ∈ f x ↔ x + y ∈ s
g : M → AddSemigroupIdeal M := fun x ↦ AddSemigroupIdeal.closure (↑(f x) \ {0})
hg : ∀ x ∈ s, ∀ y ∈ s, x ≤ y → g x ≤ g y
a : M
ha : MaximalFor (fun x ↦ x ∈ s) g a
x : M
hx : a + x ∈ s
y : M
hxy : a + x + y ∈ s
⊢ y ∈ f a
Module: Mathlib.ModelTheory.PartialEquiv

Goal state before:
pp: case refine_1
L : Language
M : Type w
N : Type w'
inst✝¹ : L.Structure M
inst✝ : L.Structure N
⊢ L.IsExtensionPair M N → ∀ (f : L.FGEquiv N M) (m : M), ∃ g, m ∈ (↑g).cod ∧ f ≤ g

Tactic:
· intro h f m
    obtain ⟨g, h1, h2⟩ := h f.symm m
    exact ⟨g.symm, h1, monotone_symm h2⟩

Goal state after:
Module: Mathlib.ModelTheory.PartialEquiv

Goal state before:
pp: case refine_2
L : Language
M : Type w
N : Type w'
inst✝¹ : L.Structure M
inst✝ : L.Structure N
⊢ (∀ (f : L.FGEquiv N M) (m : M), ∃ g, m ∈ (↑g).cod ∧ f ≤ g) → L.IsExtensionPair M N

Tactic:
· intro h f m
    obtain ⟨g, h1, h2⟩ := h f.symm m
    exact ⟨g.symm, h1, monotone_symm h2⟩

Goal state after: