mathlib-initiative/mathlib-tactics huggingface dataset:
Module: Mathlib.MeasureTheory.Function.ConvergenceInDistribution

Goal state before:
pp: ι : Type u_1
E : Type u_2
Ω' : Type u_3
Ω'' : Type u_4
Ω : ι → Type u_5
m : (i : ι) → MeasurableSpace (Ω i)
μ : (i : ι) → Measure (Ω i)
inst✝⁶ : ∀ (i : ι), IsProbabilityMeasure (μ i)
m' : MeasurableSpace Ω'
μ' : Measure Ω'
inst✝⁵ : IsProbabilityMeasure μ'
m'' : MeasurableSpace Ω''
μ'' : Measure Ω''
inst✝⁴ : IsProbabilityMeasure μ''
mE : MeasurableSpace E
l : Filter ι
inst✝³ : TopologicalSpace E
inst✝² : HasOuterApproxClosed E
inst✝¹ : BorelSpace E
X : (i : ι) → Ω i → E
Z : Ω' → E
W : Ω'' → E
inst✝ : l.NeBot
h1 : TendstoInDistribution X l Z μ μ'
h2 : TendstoInDistribution X l W μ μ''
h_eq : ↑⟨Measure.map Z μ', ⋯⟩ = ↑⟨Measure.map W μ'', ⋯⟩
⊢ Measure.map Z μ' = Measure.map W μ''

Tactic:
simpa using h_eq

Goal state after:
Module: Mathlib.MeasureTheory.Function.ConvergenceInDistribution

Goal state before:
pp: ι : Type u_1
E : Type u_2
Ω' : Type u_3
m' : MeasurableSpace Ω'
μ' : Measure Ω'
inst✝³ : IsProbabilityMeasure μ'
mE : MeasurableSpace E
Z : Ω' → E
l : Filter ι
inst✝² : TopologicalSpace E
inst✝¹ : l.IsCountablyGenerated
inst✝ : OpensMeasurableSpace E
X : ι → Ω' → E
hX₁ : ∀ (i : ι), AEMeasurable (X i) μ'
hZ : AEMeasurable Z μ'
hX₂ : ∀ᵐ (ω : Ω') ∂μ', Tendsto (fun i ↦ X i ω) l (𝓝 (Z ω))
f : BoundedContinuousFunction E NNReal
ω : Ω'
⊢ Tendsto (fun i ↦ X i ω) l (𝓝 (Z ω)) → Tendsto (fun n ↦ ↑(f (X n ω))) l (𝓝 ↑(f (Z ω)))

Tactic:
hω

Goal state after:
ι : Type u_1
E : Type u_2
Ω' : Type u_3
m' : MeasurableSpace Ω'
μ' : Measure Ω'
inst✝³ : IsProbabilityMeasure μ'
mE : MeasurableSpace E
Z : Ω' → E
l : Filter ι
inst✝² : TopologicalSpace E
inst✝¹ : l.IsCountablyGenerated
inst✝ : OpensMeasurableSpace E
X : ι → Ω' → E
hX₁ : ∀ (i : ι), AEMeasurable (X i) μ'
hZ : AEMeasurable Z μ'
hX₂ : ∀ᵐ (ω : Ω') ∂μ', Tendsto (fun i ↦ X i ω) l (𝓝 (Z ω))
f : BoundedContinuousFunction E NNReal
ω : Ω'
hω : Tendsto (fun i ↦ X i ω) l (𝓝 (Z ω))
⊢ Tendsto (fun n ↦ ↑(f (X n ω))) l (𝓝 ↑(f (Z ω)))
Module: Mathlib.Probability.Independence.Kernel.IndepFun

Goal state before:
pp: α : Type u_1
Ω : Type u_2
ι : Type u_3
mα : MeasurableSpace α
mΩ : MeasurableSpace Ω
κ : Kernel α Ω
μ : Measure α
β : Type u_8
m : MeasurableSpace β
inst✝¹ : CommMonoid β
inst✝ : MeasurableMul₂ β
f : ι → Ω → β
hf_Indep : iIndepFun f κ μ
hf_meas : ∀ (i : ι), AEMeasurable (f i) (⇑κ ∘ₘ μ)
s : Finset ι
i : ι
hi : i ∉ s
h : IndepFun (∏ j ∈ s, AEMeasurable.mk (f j) ⋯) (AEMeasurable.mk (f i) ⋯) κ μ
this : ∀ᵐ (a : α) ∂μ, ∀ (i : ↥s), f ↑i =ᵐ[κ a] AEMeasurable.mk (f ↑i) ⋯
a : α
ha : ∀ (i : ↥s), f ↑i =ᵐ[κ a] AEMeasurable.mk (f ↑i) ⋯
ω : Ω
⊢ (∀ (i : ↥s), f (↑i) ω = AEMeasurable.mk (f ↑i) ⋯ ω) → (∏ j ∈ s, AEMeasurable.mk (f j) ⋯) ω = (∏ j ∈ s, f j) ω

Tactic:
hω

Goal state after:
α : Type u_1
Ω : Type u_2
ι : Type u_3
mα : MeasurableSpace α
mΩ : MeasurableSpace Ω
κ : Kernel α Ω
μ : Measure α
β : Type u_8
m : MeasurableSpace β
inst✝¹ : CommMonoid β
inst✝ : MeasurableMul₂ β
f : ι → Ω → β
hf_Indep : iIndepFun f κ μ
hf_meas : ∀ (i : ι), AEMeasurable (f i) (⇑κ ∘ₘ μ)
s : Finset ι
i : ι
hi : i ∉ s
h : IndepFun (∏ j ∈ s, AEMeasurable.mk (f j) ⋯) (AEMeasurable.mk (f i) ⋯) κ μ
this : ∀ᵐ (a : α) ∂μ, ∀ (i : ↥s), f ↑i =ᵐ[κ a] AEMeasurable.mk (f ↑i) ⋯
a : α
ha : ∀ (i : ↥s), f ↑i =ᵐ[κ a] AEMeasurable.mk (f ↑i) ⋯
ω : Ω
hω : ∀ (i : ↥s), f (↑i) ω = AEMeasurable.mk (f ↑i) ⋯ ω
⊢ (∏ j ∈ s, AEMeasurable.mk (f j) ⋯) ω = (∏ j ∈ s, f j) ω
Module: Mathlib.Probability.Process.Filtration

Goal state before:
pp: case pos
Ω : Type u_1
ι : Type u_2
m : MeasurableSpace Ω
inst✝ : Preorder ι
s : Set (Filtration ι m)
i : ι
h_nonempty : s.Nonempty
⊢ (if s.Nonempty then sInf ((fun f ↦ ↑f i) '' s) else m) ≤ m

Tactic:
simp only [h_nonempty, if_true]

Goal state after:
case pos
Ω : Type u_1
ι : Type u_2
m : MeasurableSpace Ω
inst✝ : Preorder ι
s : Set (Filtration ι m)
i : ι
h_nonempty : s.Nonempty
⊢ sInf ((fun f ↦ ↑f i) '' s) ≤ m
Module: Mathlib.MeasureTheory.Function.ConvergenceInDistribution

Goal state before:
pp: ι : Type u_1
E : Type u_2
Ω' : Type u_3
Ω'' : Type u_4
m' : MeasurableSpace Ω'
μ' : Measure Ω'
inst✝⁵ : IsProbabilityMeasure μ'
m'' : MeasurableSpace Ω''
μ'' : Measure Ω''
inst✝⁴ : IsProbabilityMeasure μ''
mE : MeasurableSpace E
l : Filter ι
inst✝³ : SeminormedAddCommGroup E
inst✝² : SecondCountableTopology E
inst✝¹ : BorelSpace E
X : ι → Ω'' → E
inst✝ : l.IsCountablyGenerated
Y : ι → Ω'' → E
Z : Ω' → E
hXZ : TendstoInDistribution X l Z (fun x ↦ μ'') μ'
hXY : TendstoInMeasure μ'' (Y - X) l 0
hY : ∀ (i : ι), AEMeasurable (Y i) μ''
hZ : AEMeasurable Z μ'
hX : ∀ (i : ι), AEMeasurable (X i) μ''
hE : Nonempty E
x₀ : E := hE.some
F : E → ℝ
M : ℝ
hF_bounded : ∀ (x y : E), dist (F x) (F y) ≤ M
L : NNReal
hF_lip : LipschitzWith L F
hF_cont : Continuous[PseudoMetricSpace.toUniformSpace.toTopologicalSpace, _] F
hL : 0 < L
ε : ℝ
hε : ε > 0
n : ι
h_int_Y : Integrable (fun x ↦ F (Y n x)) μ''
h_int_X : Integrable (fun x ↦ F (X n x)) μ''
h_int_sub : Integrable (fun a ↦ ‖F (Y n a) - F (X n a)‖) μ''
⊢ ↑L * (ε / 2) * μ''.real {x | ‖Y n x - X n x‖ < ε / 2} + M * μ''.real {ω | ε / 2 ≤ ‖Y n ω - X n ω‖} ≤
    ↑L * (ε / 2) + M * μ''.real {ω | ε / 2 ≤ ‖Y n ω - X n ω‖}

Tactic:
by
      rw [mul_assoc]
      gcongr
      grw [measureReal_le_one, mul_one]

Goal state after:
Module: Mathlib.Probability.Independence.Kernel.IndepFun

Goal state before:
pp: α : Type u_1
Ω : Type u_2
ι : Type u_3
β : Type u_4
mα : MeasurableSpace α
mΩ : MeasurableSpace Ω
κ : Kernel α Ω
μ : Measure α
mβ : MeasurableSpace β
X : ι → Ω → α
Y : ι → Ω → β
f : ι → Set Ω
t : ι → Set β
s : Finset ι
inst✝ : Finite ι
hY : ∀ (i : ι), Measurable (Y i)
hindep : iIndepFun (fun i ω ↦ (X i ω, Y i ω)) κ μ
hf : ∀ i ∈ s, MeasurableSet (f i)
hy✝ : ∀ᵐ (a : α) ∂μ, ∀ i ∉ s, (κ a) (Y i ⁻¹' t i) ≠ 0
ht : ∀ (i : ι), MeasurableSet (t i)
val✝ : Fintype ι
g : ι → Set Ω := fun i' ↦ if i' ∈ s then Y i' ⁻¹' t i' ∩ f i' else Y i' ⁻¹' t i'
hYt : ∀ (i : ι), MeasurableSet (Y i ⁻¹' t i)
hg : ∀ (i : ι), MeasurableSet (g i)
a : α
hy : ∀ i ∉ s, (κ a) (Y i ⁻¹' t i) ≠ 0
⊢ IsProbabilityMeasure (κ a) →
    (κ a) (⋂ i, Y i ⁻¹' t i) = ∏ i, (κ a) (Y i ⁻¹' t i) →
      (κ a) (⋂ i, g i) = ∏ i, (κ a) (g i) → (κ a)[⋂ i ∈ s, f i | ⋂ i, Y i ⁻¹' t i] = ∏ i ∈ s, (κ a)[f i | Y i ⁻¹' t i]

Tactic:
_

Goal state after:
α : Type u_1
Ω : Type u_2
ι : Type u_3
β : Type u_4
mα : MeasurableSpace α
mΩ : MeasurableSpace Ω
κ : Kernel α Ω
μ : Measure α
mβ : MeasurableSpace β
X : ι → Ω → α
Y : ι → Ω → β
f : ι → Set Ω
t : ι → Set β
s : Finset ι
inst✝ : Finite ι
hY : ∀ (i : ι), Measurable (Y i)
hindep : iIndepFun (fun i ω ↦ (X i ω, Y i ω)) κ μ
hf : ∀ i ∈ s, MeasurableSet (f i)
hy✝ : ∀ᵐ (a : α) ∂μ, ∀ i ∉ s, (κ a) (Y i ⁻¹' t i) ≠ 0
ht : ∀ (i : ι), MeasurableSet (t i)
val✝ : Fintype ι
g : ι → Set Ω := fun i' ↦ if i' ∈ s then Y i' ⁻¹' t i' ∩ f i' else Y i' ⁻¹' t i'
hYt : ∀ (i : ι), MeasurableSet (Y i ⁻¹' t i)
hg : ∀ (i : ι), MeasurableSet (g i)
a : α
hy : ∀ i ∉ s, (κ a) (Y i ⁻¹' t i) ≠ 0
a✝ : IsProbabilityMeasure (κ a)
⊢ (κ a) (⋂ i, Y i ⁻¹' t i) = ∏ i, (κ a) (Y i ⁻¹' t i) →
    (κ a) (⋂ i, g i) = ∏ i, (κ a) (g i) → (κ a)[⋂ i ∈ s, f i | ⋂ i, Y i ⁻¹' t i] = ∏ i ∈ s, (κ a)[f i | Y i ⁻¹' t i]
Module: Mathlib.MeasureTheory.Function.LpSeminorm.Count

Goal state before:
pp: α : Type u_1
ε : Type u_2
inst✝³ : MeasurableSpace α
inst✝² : MeasurableSingletonClass α
inst✝¹ : TopologicalSpace ε
inst✝ : ContinuousENorm ε
p : ℝ≥0∞
f : α → ε
i : α
hp : p ≠ 0
⊢ (if p = 0 then 0 else if p = ∞ then eLpNormEssSup f (dirac i) else eLpNorm' f p.toReal (dirac i)) = ‖f i‖ₑ

Tactic:
if_neg hp

Goal state after:
α : Type u_1
ε : Type u_2
inst✝³ : MeasurableSpace α
inst✝² : MeasurableSingletonClass α
inst✝¹ : TopologicalSpace ε
inst✝ : ContinuousENorm ε
p : ℝ≥0∞
f : α → ε
i : α
hp : p ≠ 0
⊢ (if p = ∞ then eLpNormEssSup f (dirac i) else eLpNorm' f p.toReal (dirac i)) = ‖f i‖ₑ
Module: Mathlib.MeasureTheory.Function.UnifTight

Goal state before:
pp: α : Type u_1
β : Type u_2
ι : Type u_3
m : MeasurableSpace α
μ : Measure α
inst✝ : NormedAddCommGroup β
f : ι → α → β
p : ℝ≥0∞
hf : UnifTight f p μ
⊢ UnifTight (-f) p μ

Tactic:
simp_rw [UnifTight, Pi.neg_apply, Set.indicator_neg', eLpNorm_neg]
  exact hf

Goal state after:
Module: Mathlib.MeasureTheory.Integral.CurveIntegral.Basic

Goal state before:
pp: 𝕜 : Type u_1
E : Type u_2
F : Type u_3
inst✝⁵ : RCLike 𝕜
inst✝⁴ : NormedAddCommGroup E
inst✝³ : NormedSpace 𝕜 E
inst✝² : NormedAddCommGroup F
inst✝¹ : NormedSpace 𝕜 F
a b : E
inst✝ : NormedSpace ℝ F
ω : E → E →L[𝕜] F
γ : Path a b
⊢ curveIntegral ω γ = ∫ (t : ℝ) in 0..1, curveIntegralFun ω γ t

Tactic:
simp +instances only [curveIntegral, NormedSpace.restrictScalars_eq]

Goal state after:
Module: Mathlib.MeasureTheory.Integral.CurveIntegral.Basic

Goal state before:
pp: 𝕜 : Type u_1
E : Type u_2
F : Type u_3
inst✝⁵ : RCLike 𝕜
inst✝⁴ : NormedAddCommGroup E
inst✝³ : NormedSpace 𝕜 E
inst✝² : NormedAddCommGroup F
inst✝¹ : NormedSpace 𝕜 F
a b : E
ω : E → E →L[𝕜] F
inst✝ : NormedSpace ℝ E
C : ℝ
h : ∀ z ∈ [a -[ℝ] b], ‖ω z‖ ≤ C
this : NormedSpace ℝ F := NormedSpace.restrictScalars ℝ 𝕜 F
⊢ ‖∫ (t : ℝ) in 0..1, (ω ((lineMap a b) t)) (b - a)‖ ≤ C * ‖b - a‖ * |1 - 0|

Tactic:
refine intervalIntegral.norm_integral_le_of_norm_le_const fun t ht ↦ ?_

Goal state after:
𝕜 : Type u_1
E : Type u_2
F : Type u_3
inst✝⁵ : RCLike 𝕜
inst✝⁴ : NormedAddCommGroup E
inst✝³ : NormedSpace 𝕜 E
inst✝² : NormedAddCommGroup F
inst✝¹ : NormedSpace 𝕜 F
a b : E
ω : E → E →L[𝕜] F
inst✝ : NormedSpace ℝ E
C : ℝ
h : ∀ z ∈ [a -[ℝ] b], ‖ω z‖ ≤ C
this : NormedSpace ℝ F := NormedSpace.restrictScalars ℝ 𝕜 F
t : ℝ
ht : t ∈ Ι 0 1
⊢ ‖(ω ((lineMap a b) t)) (b - a)‖ ≤ C * ‖b - a‖
Module: Mathlib.MeasureTheory.Integral.Regular

Goal state before:
pp: X : Type u_1
inst✝⁶ : TopologicalSpace X
inst✝⁵ : MeasurableSpace X
inst✝⁴ : BorelSpace X
inst✝³ : T2Space X
U : Set X
hU : IsOpen U
μ : Measure X
inst✝² : IsFiniteMeasure μ
inst✝¹ : μ.InnerRegularCompactLTTop
inst✝ : NormalSpace X
r : ENNReal
hr : r < μ U
K : Set X
KU : K ⊆ U
K_comp : IsCompact K
hK : r < μ K
⊢ ∃ i, Continuous i ∧ EqOn i 0 Uᶜ ∧ 0 ≤ i ∧ i ≤ 1 ∧ r < ENNReal.ofReal (∫ (x : X), i x ∂μ)

Tactic:
obtain ⟨⟨f, f_cont⟩, fU, fK, f_range⟩ : ∃ (f : C(X, ℝ)), EqOn f 0 Uᶜ ∧ EqOn f 1 K
        ∧ ∀ (x : X), f x ∈ Icc 0 1 := exists_continuous_zero_one_of_isClosed
      hU.isClosed_compl K_comp.isClosed (disjoint_compl_left_iff_subset.mpr KU)

Goal state after:
X : Type u_1
inst✝⁶ : TopologicalSpace X
inst✝⁵ : MeasurableSpace X
inst✝⁴ : BorelSpace X
inst✝³ : T2Space X
U : Set X
hU : IsOpen U
μ : Measure X
inst✝² : IsFiniteMeasure μ
inst✝¹ : μ.InnerRegularCompactLTTop
inst✝ : NormalSpace X
r : ENNReal
hr : r < μ U
K : Set X
KU : K ⊆ U
K_comp : IsCompact K
hK : r < μ K
f : X → ℝ
f_cont : Continuous f
fU : EqOn (⇑{ toFun := f, continuous_toFun := f_cont }) 0 Uᶜ
fK : EqOn (⇑{ toFun := f, continuous_toFun := f_cont }) 1 K
f_range : ∀ (x : X), { toFun := f, continuous_toFun := f_cont } x ∈ Icc 0 1
⊢ ∃ i, Continuous i ∧ EqOn i 0 Uᶜ ∧ 0 ≤ i ∧ i ≤ 1 ∧ r < ENNReal.ofReal (∫ (x : X), i x ∂μ)
Module: Mathlib.MeasureTheory.Integral.IntervalIntegral.TrapezoidalRule

Goal state before:
pp: case inr.inr
f : ℝ → ℝ
a b : ℝ
h_df : DifferentiableOn ℝ f [[a, b]]
h_ddf : DifferentiableOn ℝ (_root_.derivWithin f [[a, b]]) [[a, b]]
ζ : ℝ
fpp_bound : ∀ (x : ℝ), |iteratedDerivWithin 2 f [[a, b]] x| ≤ ζ
N : ℕ
N_nonzero : 0 < N
h_gt : b < a
⊢ |trapezoidal_error f N a b| ≤ |b - a| ^ 3 * ζ / (12 * ↑N ^ 2)

Tactic:
rw [uIcc_of_gt h_gt] at *
    rw [abs_of_neg (sub_neg.mpr h_gt), neg_sub, trapezoidal_error_symm f N_nonzero a b, abs_neg]
    exact trapezoidal_error_le_of_lt h_gt h_df h_ddf fpp_bound N_nonzero

Goal state after:
Module: Mathlib.MeasureTheory.Integral.RieszMarkovKakutani.Real

Goal state before:
pp: case h.refine_2
X : Type u_1
inst✝² : TopologicalSpace X
inst✝¹ : MeasurableSpace X
inst✝ : BorelSpace X
f : X →C_c ℝ
a ε : ℝ
hε : 0 < ε
N : ℕ
hf : range ⇑f ⊆ Ioo a (a + ↑N * ε)
b : ℝ := a + ↑N * ε
y : Fin N → ℝ := fun n ↦ a + ε * (↑↑n + 1)
hy : ∀ {n m : Fin N}, n < m → y n + ε ≤ y m
E : Fin N → Set X := fun n ↦ ⇑f ⁻¹' Ioc (y n - ε) (y n) ∩ tsupport ⇑f
m : Fin N
⊢ m ∈ univ → ∀ ⦃y : Fin N⦄, y ∈ univ → m ≠ y → (Disjoint on E) m y

Tactic:
_

Goal state after:
case h.refine_2
X : Type u_1
inst✝² : TopologicalSpace X
inst✝¹ : MeasurableSpace X
inst✝ : BorelSpace X
f : X →C_c ℝ
a ε : ℝ
hε : 0 < ε
N : ℕ
hf : range ⇑f ⊆ Ioo a (a + ↑N * ε)
b : ℝ := a + ↑N * ε
y : Fin N → ℝ := fun n ↦ a + ε * (↑↑n + 1)
hy : ∀ {n m : Fin N}, n < m → y n + ε ≤ y m
E : Fin N → Set X := fun n ↦ ⇑f ⁻¹' Ioc (y n - ε) (y n) ∩ tsupport ⇑f
m : Fin N
a✝ : m ∈ univ
⊢ ∀ ⦃y : Fin N⦄, y ∈ univ → m ≠ y → (Disjoint on E) m y
Module: Mathlib.MeasureTheory.Integral.RieszMarkovKakutani.Real

Goal state before:
pp: case h.refine_2
X : Type u_1
inst✝² : TopologicalSpace X
inst✝¹ : MeasurableSpace X
inst✝ : BorelSpace X
f : X →C_c ℝ
a ε : ℝ
hε : 0 < ε
N : ℕ
hf : range ⇑f ⊆ Ioo a (a + ↑N * ε)
b : ℝ := a + ↑N * ε
y : Fin N → ℝ := fun n ↦ a + ε * (↑↑n + 1)
hy : ∀ {n m : Fin N}, n < m → y n + ε ≤ y m
E : Fin N → Set X := fun n ↦ ⇑f ⁻¹' Ioc (y n - ε) (y n) ∩ tsupport ⇑f
m : Fin N
a✝ : m ∈ univ
n : Fin N
⊢ n ∈ univ → m ≠ n → (Disjoint on E) m n

Tactic:
_

Goal state after:
case h.refine_2
X : Type u_1
inst✝² : TopologicalSpace X
inst✝¹ : MeasurableSpace X
inst✝ : BorelSpace X
f : X →C_c ℝ
a ε : ℝ
hε : 0 < ε
N : ℕ
hf : range ⇑f ⊆ Ioo a (a + ↑N * ε)
b : ℝ := a + ↑N * ε
y : Fin N → ℝ := fun n ↦ a + ε * (↑↑n + 1)
hy : ∀ {n m : Fin N}, n < m → y n + ε ≤ y m
E : Fin N → Set X := fun n ↦ ⇑f ⁻¹' Ioc (y n - ε) (y n) ∩ tsupport ⇑f
m : Fin N
a✝¹ : m ∈ univ
n : Fin N
a✝ : n ∈ univ
⊢ m ≠ n → (Disjoint on E) m n
Module: Mathlib.MeasureTheory.Integral.RieszMarkovKakutani.Real

Goal state before:
pp: case h.refine_3
X : Type u_1
inst✝² : TopologicalSpace X
inst✝¹ : MeasurableSpace X
inst✝ : BorelSpace X
f : X →C_c ℝ
a ε : ℝ
hε : 0 < ε
N : ℕ
hf : range ⇑f ⊆ Ioo a (a + ↑N * ε)
b : ℝ := a + ↑N * ε
y : Fin N → ℝ := fun n ↦ a + ε * (↑↑n + 1)
hy : ∀ {n m : Fin N}, n < m → y n + ε ≤ y m
E : Fin N → Set X := fun n ↦ ⇑f ⁻¹' Ioc (y n - ε) (y n) ∩ tsupport ⇑f
n✝ : Fin N
⊢ ∀ x ∈ E n✝, a + ε * ↑↑n✝ < f x ∧ f x ≤ a + ε * (↑↑n✝ + 1)

Tactic:
_

Goal state after:
case h.refine_3
X : Type u_1
inst✝² : TopologicalSpace X
inst✝¹ : MeasurableSpace X
inst✝ : BorelSpace X
f : X →C_c ℝ
a ε : ℝ
hε : 0 < ε
N : ℕ
hf : range ⇑f ⊆ Ioo a (a + ↑N * ε)
b : ℝ := a + ↑N * ε
y : Fin N → ℝ := fun n ↦ a + ε * (↑↑n + 1)
hy : ∀ {n m : Fin N}, n < m → y n + ε ≤ y m
E : Fin N → Set X := fun n ↦ ⇑f ⁻¹' Ioc (y n - ε) (y n) ∩ tsupport ⇑f
n✝ : Fin N
x✝ : X
⊢ x✝ ∈ E n✝ → a + ε * ↑↑n✝ < f x✝ ∧ f x✝ ≤ a + ε * (↑↑n✝ + 1)
Module: Mathlib.MeasureTheory.Measure.FiniteMeasureExt

Goal state before:
pp: E : Type u_1
𝕜 : Type u_2
inst✝⁷ : RCLike 𝕜
inst✝⁶ : MeasurableSpace E
inst✝⁵ : PseudoEMetricSpace E
inst✝⁴ : BorelSpace E
inst✝³ : CompleteSpace E
inst✝² : SecondCountableTopology E
P P' : Measure E
inst✝¹ : IsFiniteMeasure P
inst✝ : IsFiniteMeasure P'
A : StarSubalgebra 𝕜 (E →ᵇ 𝕜)
hA : (StarSubalgebra.map (toContinuousMapStarₐ 𝕜) A).SeparatesPoints
heq : ∀ g ∈ A, ∫ (x : E), g x ∂P = ∫ (x : E), g x ∂P'
A_toReal : Subalgebra ℝ (E →ᵇ ℝ) :=
  Subalgebra.comap (AlgHom.compLeftContinuousBounded ℝ ofRealAm ⋯) (Subalgebra.restrictScalars ℝ A.toSubalgebra)
hA_toReal : (Subalgebra.map (toContinuousMapₐ ℝ) A_toReal).SeparatesPoints
g : E →ᵇ ℝ
hgA_toReal : g ∈ A_toReal
⊢ ∫ (x : E), g x ∂P = ∫ (x : E), g x ∂P'

Tactic:
rw [← @ofReal_inj 𝕜, ← integral_ofReal, ← integral_ofReal]

Goal state after:
E : Type u_1
𝕜 : Type u_2
inst✝⁷ : RCLike 𝕜
inst✝⁶ : MeasurableSpace E
inst✝⁵ : PseudoEMetricSpace E
inst✝⁴ : BorelSpace E
inst✝³ : CompleteSpace E
inst✝² : SecondCountableTopology E
P P' : Measure E
inst✝¹ : IsFiniteMeasure P
inst✝ : IsFiniteMeasure P'
A : StarSubalgebra 𝕜 (E →ᵇ 𝕜)
hA : (StarSubalgebra.map (toContinuousMapStarₐ 𝕜) A).SeparatesPoints
heq : ∀ g ∈ A, ∫ (x : E), g x ∂P = ∫ (x : E), g x ∂P'
A_toReal : Subalgebra ℝ (E →ᵇ ℝ) :=
  Subalgebra.comap (AlgHom.compLeftContinuousBounded ℝ ofRealAm ⋯) (Subalgebra.restrictScalars ℝ A.toSubalgebra)
hA_toReal : (Subalgebra.map (toContinuousMapₐ ℝ) A_toReal).SeparatesPoints
g : E →ᵇ ℝ
hgA_toReal : g ∈ A_toReal
⊢ ∫ (x : E), ↑(g x) ∂P = ∫ (x : E), ↑(g x) ∂P'
Module: Mathlib.MeasureTheory.Measure.LevyProkhorovMetric

Goal state before:
pp: Ω : Type u_1
inst✝¹ : MeasurableSpace Ω
inst✝ : PseudoEMetricSpace Ω
μ ν : Measure Ω
δ : ℝ≥0∞
h :
  ∀ (ε : ℝ≥0∞) (B : Set Ω),
    0 < ε →
      ε < ∞ →
        MeasurableSet B → μ B ≤ ν (thickening (δ + ε).toReal B) + δ + ε ∧ ν B ≤ μ (thickening (δ + ε).toReal B) + δ + ε
ε : ℝ≥0
hε : 0 < ε
⊢ δ < ∞ → levyProkhorovEDist μ ν ≤ δ + ↑ε

Tactic:
_

Goal state after:
Ω : Type u_1
inst✝¹ : MeasurableSpace Ω
inst✝ : PseudoEMetricSpace Ω
μ ν : Measure Ω
δ : ℝ≥0∞
h :
  ∀ (ε : ℝ≥0∞) (B : Set Ω),
    0 < ε →
      ε < ∞ →
        MeasurableSet B → μ B ≤ ν (thickening (δ + ε).toReal B) + δ + ε ∧ ν B ≤ μ (thickening (δ + ε).toReal B) + δ + ε
ε : ℝ≥0
hε : 0 < ε
a✝ : δ < ∞
⊢ levyProkhorovEDist μ ν ≤ δ + ↑ε
Module: Mathlib.MeasureTheory.Measure.FiniteMeasureProd

Goal state before:
pp: α : Type u_1
inst✝¹ : MeasurableSpace α
β : Type u_2
inst✝ : MeasurableSpace β
μ : FiniteMeasure α
ν : FiniteMeasure β
⊢ (μ.prod ν).mass = μ.mass * ν.mass

Tactic:
simp only [coeFn_def, mass, univ_prod_univ.symm, toMeasure_prod]

Goal state after:
α : Type u_1
inst✝¹ : MeasurableSpace α
β : Type u_2
inst✝ : MeasurableSpace β
μ : FiniteMeasure α
ν : FiniteMeasure β
⊢ (((↑μ).prod ↑ν) (univ ×ˢ univ)).toNNReal = (↑μ univ).toNNReal * (↑ν univ).toNNReal
Module: Mathlib.MeasureTheory.Measure.FiniteMeasureProd

Goal state before:
pp: α : Type u_1
inst✝³ : MeasurableSpace α
β : Type u_2
inst✝² : MeasurableSpace β
μ : FiniteMeasure α
ν : FiniteMeasure β
α' : Type u_3
inst✝¹ : MeasurableSpace α'
β' : Type u_4
inst✝ : MeasurableSpace β'
f : α → α'
g : β → β'
f_mble : Measurable f
g_mble : Measurable g
⊢ (Measure.map f ↑μ).prod (Measure.map g ↑ν) = Measure.map (Prod.map f g) ((↑μ).prod ↑ν)

Tactic:
rw [Measure.map_prod_map _ _ f_mble g_mble]

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

Goal state before:
pp: α : Type u_1
inst✝³ : MeasurableSpace α
β : Type u_2
inst✝² : MeasurableSpace β
μ : ProbabilityMeasure α
ν : ProbabilityMeasure β
α' : Type u_3
inst✝¹ : MeasurableSpace α'
β' : Type u_4
inst✝ : MeasurableSpace β'
f : α → α'
g : β → β'
f_mble : Measurable f
g_mble : Measurable g
⊢ (Measure.map f ↑μ).prod (Measure.map g ↑ν) = Measure.map (Prod.map f g) ((↑μ).prod ↑ν)

Tactic:
rw [Measure.map_prod_map _ _ f_mble g_mble]

Goal state after:
Module: Mathlib.MeasureTheory.Measure.Haar.MulEquivHaarChar

Goal state before:
pp: G : Type u_1
inst✝⁷ : Group G
inst✝⁶ : TopologicalSpace G
inst✝⁵ : MeasurableSpace G
inst✝⁴ : BorelSpace G
inst✝³ : IsTopologicalGroup G
inst✝² : LocallyCompactSpace G
μ : Measure G
inst✝¹ : μ.IsHaarMeasure
inst✝ : μ.Regular
φ : G ≃ₜ* G
smul : haar = haar.haarScalarFactor μ • μ
| haar.haarScalarFactor (map (⇑φ) haar) = μ.haarScalarFactor (map (⇑φ) μ)

Tactic:
1,

Goal state after:
G : Type u_1
inst✝⁷ : Group G
inst✝⁶ : TopologicalSpace G
inst✝⁵ : MeasurableSpace G
inst✝⁴ : BorelSpace G
inst✝³ : IsTopologicalGroup G
inst✝² : LocallyCompactSpace G
μ : Measure G
inst✝¹ : μ.IsHaarMeasure
inst✝ : μ.Regular
φ : G ≃ₜ* G
smul : haar = haar.haarScalarFactor μ • μ
| haar.haarScalarFactor (map (⇑φ) haar)
Module: Mathlib.MeasureTheory.Measure.Haar.MulEquivHaarChar

Goal state before:
pp: G : Type u_1
inst✝⁷ : Group G
inst✝⁶ : TopologicalSpace G
inst✝⁵ : MeasurableSpace G
inst✝⁴ : BorelSpace G
inst✝³ : IsTopologicalGroup G
inst✝² : LocallyCompactSpace G
μ : Measure G
inst✝¹ : μ.IsHaarMeasure
inst✝ : μ.Regular
φ : G ≃ₜ* G
smul : haar = haar.haarScalarFactor μ • μ
| (haar.haarScalarFactor μ • μ).haarScalarFactor (map (⇑φ) haar) = μ.haarScalarFactor (map (⇑φ) μ)

Tactic:
1,

Goal state after:
G : Type u_1
inst✝⁷ : Group G
inst✝⁶ : TopologicalSpace G
inst✝⁵ : MeasurableSpace G
inst✝⁴ : BorelSpace G
inst✝³ : IsTopologicalGroup G
inst✝² : LocallyCompactSpace G
μ : Measure G
inst✝¹ : μ.IsHaarMeasure
inst✝ : μ.Regular
φ : G ≃ₜ* G
smul : haar = haar.haarScalarFactor μ • μ
| (haar.haarScalarFactor μ • μ).haarScalarFactor (map (⇑φ) haar)
Module: Mathlib.MeasureTheory.Measure.LevyProkhorovMetric

Goal state before:
pp: Ω : Type u_1
inst✝³ : PseudoMetricSpace Ω
inst✝² : MeasurableSpace Ω
inst✝¹ : OpensMeasurableSpace Ω
inst✝ : SeparableSpace Ω
P : ProbabilityMeasure Ω
ε : ℝ
ε_pos : ε > 0
third_ε_pos : 0 < ε / 3
third_ε_pos' : 0 < ENNReal.ofReal (ε / 3)
Es : ℕ → Set Ω
Es_mble : ∀ (n : ℕ), MeasurableSet (Es n)
Es_bdd : ∀ (n : ℕ), Bornology.IsBounded (Es n)
Es_diam : ∀ (n : ℕ), diam (Es n) ≤ ε / 3
Es_cover : ⋃ n, Es n = univ
Es_disjoint : Pairwise fun n m ↦ Disjoint (Es n) (Es m)
N : ℕ
hN : ↑P (⋃ j ∈ Iio N, Es j)ᶜ < ENNReal.ofReal (ε / 3)
Js_finite : {J | J ⊆ Iio N}.Finite
Gs : Set (Set Ω) := (fun J ↦ thickening (ε / 3) (⋃ j ∈ J, Es j)) '' {J | J ⊆ Iio N}
Gs_open :
  ∀ (J : Set ℕ), IsOpen[PseudoMetricSpace.toUniformSpace.toTopologicalSpace] (thickening (ε / 3) (⋃ j ∈ J, Es j))
mem_nhds_P :
  ∀ (G : Set Ω),
    IsOpen[PseudoMetricSpace.toUniformSpace.toTopologicalSpace] G → {Q | ↑P G < ↑Q G + ENNReal.ofReal (ε / 3)} ∈ 𝓝 P
Q : ProbabilityMeasure Ω
hQ :
  ∀ i ⊆ Iio N,
    ↑P (⋃ i_2 ∈ i, thickening (ε / 3) (Es i_2)) < ↑Q (⋃ i_2 ∈ i, thickening (ε / 3) (Es i_2)) + ENNReal.ofReal (ε / 3)
δ : ℝ
B : Set Ω
δ_gt : 2 * (ε / 3) < δ
x✝ : MeasurableSet B
JB : Set ℕ := {i | (B ∩ Es i).Nonempty ∧ i ∈ Iio N}
this : B ⊆ (⋃ i ∈ JB, thickening (ε / 3) (Es i)) ∪ ⋃ j ∈ Ici N, Es j
ω : Ω
⊢ ω ∈ ⋃ j ∈ Ici N, Es j → ω ∈ (⋃ j ∈ Iio N, Es j)ᶜ

Tactic:
hω

Goal state after:
Ω : Type u_1
inst✝³ : PseudoMetricSpace Ω
inst✝² : MeasurableSpace Ω
inst✝¹ : OpensMeasurableSpace Ω
inst✝ : SeparableSpace Ω
P : ProbabilityMeasure Ω
ε : ℝ
ε_pos : ε > 0
third_ε_pos : 0 < ε / 3
third_ε_pos' : 0 < ENNReal.ofReal (ε / 3)
Es : ℕ → Set Ω
Es_mble : ∀ (n : ℕ), MeasurableSet (Es n)
Es_bdd : ∀ (n : ℕ), Bornology.IsBounded (Es n)
Es_diam : ∀ (n : ℕ), diam (Es n) ≤ ε / 3
Es_cover : ⋃ n, Es n = univ
Es_disjoint : Pairwise fun n m ↦ Disjoint (Es n) (Es m)
N : ℕ
hN : ↑P (⋃ j ∈ Iio N, Es j)ᶜ < ENNReal.ofReal (ε / 3)
Js_finite : {J | J ⊆ Iio N}.Finite
Gs : Set (Set Ω) := (fun J ↦ thickening (ε / 3) (⋃ j ∈ J, Es j)) '' {J | J ⊆ Iio N}
Gs_open :
  ∀ (J : Set ℕ), IsOpen[PseudoMetricSpace.toUniformSpace.toTopologicalSpace] (thickening (ε / 3) (⋃ j ∈ J, Es j))
mem_nhds_P :
  ∀ (G : Set Ω),
    IsOpen[PseudoMetricSpace.toUniformSpace.toTopologicalSpace] G → {Q | ↑P G < ↑Q G + ENNReal.ofReal (ε / 3)} ∈ 𝓝 P
Q : ProbabilityMeasure Ω
hQ :
  ∀ i ⊆ Iio N,
    ↑P (⋃ i_2 ∈ i, thickening (ε / 3) (Es i_2)) < ↑Q (⋃ i_2 ∈ i, thickening (ε / 3) (Es i_2)) + ENNReal.ofReal (ε / 3)
δ : ℝ
B : Set Ω
δ_gt : 2 * (ε / 3) < δ
x✝ : MeasurableSet B
JB : Set ℕ := {i | (B ∩ Es i).Nonempty ∧ i ∈ Iio N}
this : B ⊆ (⋃ i ∈ JB, thickening (ε / 3) (Es i)) ∪ ⋃ j ∈ Ici N, Es j
ω : Ω
hω : ω ∈ ⋃ j ∈ Ici N, Es j
⊢ ω ∈ (⋃ j ∈ Iio N, Es j)ᶜ
Module: Mathlib.MeasureTheory.Measure.IntegralCharFun

Goal state before:
pp: case e_f
μ : Measure ℝ
r : ℝ
inst✝ : IsProbabilityMeasure μ
hr : 0 < r
integrable_sinc_const_mul : ∀ (r : ℝ), Integrable (fun x ↦ sinc (r * x)) μ
x✝ : ℝ
⊢ 1 = 2 * 2⁻¹

Tactic:
rw [mul_inv_cancel₀ (by positivity)]

Goal state after:
Module: Mathlib.MeasureTheory.Measure.Lebesgue.VolumeOfBalls

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
inst✝ : Nontrivial E
x : E
r : ℝ
⊢ volume (ball x r) =
    ENNReal.ofReal r ^ finrank ℝ E * ENNReal.ofReal (√π ^ finrank ℝ E / Gamma (↑(finrank ℝ E) / 2 + 1))

Tactic:
rw [← ((stdOrthonormalBasis ℝ E).measurePreserving_repr_symm).measure_preimage
      measurableSet_ball.nullMeasurableSet]
  have : Nonempty (Fin (finrank ℝ E)) := Fin.pos_iff_nonempty.mp finrank_pos
  have := EuclideanSpace.volume_ball (Fin (finrank ℝ E)) ((stdOrthonormalBasis ℝ E).repr x) r
  simp_rw [Fintype.card_fin] at this
  convert! this
  simp only [LinearIsometryEquiv.preimage_ball, LinearIsometryEquiv.symm_symm]

Goal state after: