mathlib-initiative/mathlib-tactics huggingface dataset:
Module: Mathlib.Probability.Moments.Variance

Goal state before:
pp: Ω : Type u_1
mΩ : MeasurableSpace Ω
μ : Measure Ω
ι : Type u_3
X : ι → Ω → ℝ
s : Finset ι
hs : ∀ i ∈ s, MemLp (X i) 2 μ
h : (↑s).Pairwise fun i j ↦ X i ⟂ᵢ[μ] X j
h'' : ¬∀ i ∈ s, X i =ᵐ[μ] 0
j : ι
hj1 : j ∈ s
hj2 : ¬X j =ᵐ[μ] 0
h' : s.Nontrivial
k : ι
hk1 : k ∈ s
hk2 : k ≠ j
⊢ 2 ≠ 0

Tactic:
by simp

Goal state after:
Module: Mathlib.Probability.Moments.Variance

Goal state before:
pp: Ω : Type u_1
mΩ : MeasurableSpace Ω
μ : Measure Ω
ι : Type u_3
X : ι → Ω → ℝ
s : Finset ι
hs : ∀ i ∈ s, MemLp (X i) 2 μ
h : (↑s).Pairwise fun i j ↦ X i ⟂ᵢ[μ] X j
h'' : ¬∀ i ∈ s, X i =ᵐ[μ] 0
j : ι
hj1 : j ∈ s
hj2 : ¬X j =ᵐ[μ] 0
h' : s.Nontrivial
k : ι
hk1 : k ∈ s
hk2 : k ≠ j
⊢ 2 ≠ ∞

Tactic:
by simp

Goal state after:
Module: Mathlib.Probability.Independence.Integration

Goal state before:
pp: case pos
Ω : Type u_1
𝕜 : Type u_2
inst✝¹⁴ : RCLike 𝕜
mΩ : MeasurableSpace Ω
μ : Measure Ω
𝓧 : Type u_3
𝓨 : Type u_4
E : Type u_5
F : Type u_6
G : Type u_7
inst✝¹³ : MeasurableSpace 𝓧
inst✝¹² : MeasurableSpace 𝓨
inst✝¹¹ : NormedAddCommGroup E
inst✝¹⁰ : NormedSpace ℝ E
inst✝⁹ : NormedSpace 𝕜 E
inst✝⁸ : CompleteSpace E
inst✝⁷ : NormedAddCommGroup F
inst✝⁶ : NormedSpace ℝ F
inst✝⁵ : NormedSpace 𝕜 F
inst✝⁴ : CompleteSpace F
inst✝³ : NormedAddCommGroup G
inst✝² : NormedSpace ℝ G
inst✝¹ : NormedSpace 𝕜 G
inst✝ : CompleteSpace G
X : Ω → 𝓧
Y : Ω → 𝓨
f : 𝓧 → E
g : 𝓨 → F
hXY : X ⟂ᵢ[μ] Y
hX : AEMeasurable X μ
hY : AEMeasurable Y μ
hf : AEStronglyMeasurable f (Measure.map X μ)
hg : AEStronglyMeasurable g (Measure.map Y μ)
B : E →L[𝕜] F →L[𝕜] G
c : ℝ≥0
hc : c ≠ 0
hB : ∀ (x : E) (y : F), ↑c * ‖x‖ * ‖y‖ ≤ ‖(B x) y‖
this✝³ : MeasurableSpace E := borel E
this✝² : BorelSpace E
this✝¹ : MeasurableSpace F := borel F
this✝ : BorelSpace F
hfXgY : (f ∘ X) ⟂ᵢ[μ] g ∘ Y
hfX : AEStronglyMeasurable (f ∘ X) μ
hgY : AEStronglyMeasurable (g ∘ Y) μ
h'X : ∀ᵐ (ω : Ω) ∂μ, f (X ω) = 0
h' : ∀ᵐ (ω : Ω) ∂μ, (B (f (X ω))) (g (Y ω)) = 0
⊢ ∫ (ω : Ω), (B (f (X ω))) (g (Y ω)) ∂μ = (B (∫ (ω : Ω), f (X ω) ∂μ)) (∫ (ω : Ω), g (Y ω) ∂μ)

Tactic:
simp [integral_congr_ae h'X, integral_congr_ae h']

Goal state after:
Module: Mathlib.Probability.HasLaw

Goal state before:
pp: Ω : Type u_1
𝓧 : Type u_2
mΩ : MeasurableSpace Ω
m𝓧 : MeasurableSpace 𝓧
μ : Measure 𝓧
P : Measure Ω
X : Ω → 𝓧
hX : HasLaw X μ P
f : 𝓧 → ℝ≥0∞
hf : AEMeasurable f μ
⊢ ∫⁻ (ω : Ω), f (X ω) ∂P = ∫⁻ (x : 𝓧), f x ∂map X P

Tactic:
lintegral_map' _ hX.aemeasurable

Goal state after:
Ω : Type u_1
𝓧 : Type u_2
mΩ : MeasurableSpace Ω
m𝓧 : MeasurableSpace 𝓧
μ : Measure 𝓧
P : Measure Ω
X : Ω → 𝓧
hX : HasLaw X μ P
f : 𝓧 → ℝ≥0∞
hf : AEMeasurable f μ
⊢ ∫⁻ (ω : Ω), f (X ω) ∂P = ∫⁻ (a : Ω), f (X a) ∂P

Ω : Type u_1
𝓧 : Type u_2
mΩ : MeasurableSpace Ω
m𝓧 : MeasurableSpace 𝓧
μ : Measure 𝓧
P : Measure Ω
X : Ω → 𝓧
hX : HasLaw X μ P
f : 𝓧 → ℝ≥0∞
hf : AEMeasurable f μ
⊢ AEMeasurable f (map X P)
Module: Mathlib.Probability.HasLaw

Goal state before:
pp: Ω : Type u_1
𝓧 : Type u_2
mΩ : MeasurableSpace Ω
m𝓧 : MeasurableSpace 𝓧
X : Ω → 𝓧
P : Measure Ω
c : ℝ≥0∞
inst✝ : MeasurableSingletonClass 𝓧
x : 𝓧
hX : HasLaw X (c • dirac x) P
⊢ ∀ᵐ (x_1 : 𝓧) ∂dirac x, x_1 = x

Tactic:
by simp

Goal state after:
Module: Mathlib.Probability.Moments.Variance

Goal state before:
pp: Ω : Type u_1
mΩ : MeasurableSpace Ω
μ : Measure Ω
inst✝ : IsProbabilityMeasure μ
a b : ℝ
X : Ω → ℝ
h : ∀ᵐ (ω : Ω) ∂μ, X ω ∈ Set.Icc a b
hX : AEMeasurable X μ
ha : ∀ᵐ (ω : Ω) ∂μ, a ≤ X ω
hb : ∀ᵐ (ω : Ω) ∂μ, X ω ≤ b
hX_int₂ : Integrable (fun ω ↦ -X ω ^ 2) μ
hX_int₁ : Integrable (fun ω ↦ (a + b) * X ω) μ
⊢ ∫ (ω : Ω), -X ω ^ 2 + (a + b) * X ω ∂μ - ∫ (x : Ω), a * b ∂μ = ∫ (ω : Ω), -X ω ^ 2 + (a + b) * X ω ∂μ - a * b

Tactic:
by simp

Goal state after:
Module: Mathlib.Probability.Independence.Integration

Goal state before:
pp: Ω : Type u_1
𝕜 : Type u_2
inst✝⁵ : RCLike 𝕜
mΩ : MeasurableSpace Ω
μ : Measure Ω
𝓧 : Type u_3
𝓨 : Type u_4
E : Type u_5
inst✝⁴ : MeasurableSpace 𝓧
inst✝³ : MeasurableSpace 𝓨
inst✝² : NormedAddCommGroup E
inst✝¹ : NormedSpace ℝ E
inst✝ : NormedSpace 𝕜 E
X : Ω → 𝓧
Y : Ω → 𝓨
f : 𝓧 → 𝕜
g : 𝓨 → E
hXY : X ⟂ᵢ[μ] Y
hX : AEMeasurable X μ
hY : AEMeasurable Y μ
hf : AEStronglyMeasurable f (Measure.map X μ)
hg : AEStronglyMeasurable g (Measure.map Y μ)
hE : CompleteSpace E
⊢ 1 ≠ 0

Tactic:
by simp

Goal state after:
Module: Mathlib.Probability.Independence.Integration

Goal state before:
pp: Ω : Type u_1
𝕜 : Type u_2
inst✝⁵ : RCLike 𝕜
mΩ : MeasurableSpace Ω
μ : Measure Ω
E : Type u_5
inst✝⁴ : NormedAddCommGroup E
inst✝³ : NormedSpace ℝ E
inst✝² : NormedSpace 𝕜 E
inst✝¹ : MeasurableSpace E
inst✝ : BorelSpace E
X : Ω → 𝕜
Y : Ω → E
hXY : X ⟂ᵢ[μ] Y
hX : AEStronglyMeasurable X μ
hY : AEStronglyMeasurable Y μ
hE : CompleteSpace E
⊢ 1 ≠ 0

Tactic:
by simp

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))
⊢ Tendsto (fun n ↦ ⟨Measure.map (X n) μ', ⋯⟩) l (𝓝 ⟨Measure.map Z μ', ⋯⟩)

Tactic:
simp_rw [ProbabilityMeasure.tendsto_iff_forall_lintegral_tendsto, ProbabilityMeasure.coe_mk]
    intro f
    rw [lintegral_map' (by fun_prop) hZ]
    conv in ∫⁻ _, _ ∂_ => rw [lintegral_map' (by fun_prop) (hX₁ i)]
    apply tendsto_lintegral_filter_of_dominated_convergence' (bound := fun _ ↦ edist 0 f)
    · exact .of_forall (by fun_prop)
    · simp [f.apply_le_edist_zero]
    · simp
    filter_upwards [hX₂] with ω hω
    simpa [Function.comp_def] using f.continuous.tendsto (Z ω) |>.comp hω

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
mα : MeasurableSpace α
mΩ : MeasurableSpace Ω
κ : Kernel α Ω
μ : Measure α
β : ι → Type u_8
m : (i : ι) → MeasurableSpace (β i)
f : (i : ι) → Ω → β i
hf_Indep : iIndepFun f κ μ
hf_meas : ∀ (i : ι), Measurable (f i)
i j k : ι
hik : i ≠ k
hjk : j ≠ k
h_right : f k = (fun p ↦ p ⟨k, ⋯⟩) ∘ fun a j ↦ f (↑j) a
h_meas_right : Measurable fun p ↦ p ⟨k, ⋯⟩
s : Finset ι := {i, j}
h_left : (fun ω ↦ (f i ω, f j ω)) = (fun p ↦ (p ⟨i, ⋯⟩, p ⟨j, ⋯⟩)) ∘ fun a j ↦ f (↑j) a
h_meas_left : Measurable fun p ↦ (p ⟨i, ⋯⟩, p ⟨j, ⋯⟩)
⊢ IndepFun (fun a ↦ (f i a, f j a)) (f k) κ μ

Tactic:
rw [h_left, h_right]

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 : ι → Type u_8
m : (i : ι) → MeasurableSpace (β i)
f : (i : ι) → Ω → β i
hf_Indep : iIndepFun f κ μ
hf_meas : ∀ (i : ι), Measurable (f i)
i j k : ι
hik : i ≠ k
hjk : j ≠ k
h_right : f k = (fun p ↦ p ⟨k, ⋯⟩) ∘ fun a j ↦ f (↑j) a
h_meas_right : Measurable fun p ↦ p ⟨k, ⋯⟩
s : Finset ι := {i, j}
h_left : (fun ω ↦ (f i ω, f j ω)) = (fun p ↦ (p ⟨i, ⋯⟩, p ⟨j, ⋯⟩)) ∘ fun a j ↦ f (↑j) a
h_meas_left : Measurable fun p ↦ (p ⟨i, ⋯⟩, p ⟨j, ⋯⟩)
⊢ IndepFun ((fun p ↦ (p ⟨i, ⋯⟩, p ⟨j, ⋯⟩)) ∘ fun a j ↦ f (↑j) a) ((fun p ↦ p ⟨k, ⋯⟩) ∘ fun a j ↦ f (↑j) a) κ μ
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), Measurable (f i)
s : Finset ι
i : ι
hi : i ∉ s
h_right : f i = (fun p ↦ p ⟨i, ⋯⟩) ∘ fun a j ↦ f (↑j) a
h_meas_right : Measurable fun p ↦ p ⟨i, ⋯⟩
h_left : ∏ j ∈ s, f j = (fun p ↦ ∏ j, p j) ∘ fun a j ↦ f (↑j) a
h_meas_left : Measurable fun p ↦ ∏ j, p j
⊢ IndepFun (∏ j ∈ s, f j) (f i) κ μ

Tactic:
rw [h_left, h_right]

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), Measurable (f i)
s : Finset ι
i : ι
hi : i ∉ s
h_right : f i = (fun p ↦ p ⟨i, ⋯⟩) ∘ fun a j ↦ f (↑j) a
h_meas_right : Measurable fun p ↦ p ⟨i, ⋯⟩
h_left : ∏ j ∈ s, f j = (fun p ↦ ∏ j, p j) ∘ fun a j ↦ f (↑j) a
h_meas_left : Measurable fun p ↦ ∏ j, p j
⊢ IndepFun ((fun p ↦ ∏ j, p j) ∘ fun a j ↦ f (↑j) a) ((fun p ↦ p ⟨i, ⋯⟩) ∘ fun a j ↦ f (↑j) a) κ μ
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''
⊢ NullMeasurableSet {x | ‖Y n x - X n x‖ < ε / 2} μ''

Tactic:
exact nullMeasurableSet_lt (by fun_prop) (by fun_prop)

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

Goal state before:
pp: case h₁.refine_1
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''
⊢ NullMeasurableSet {x | ‖Y n x - X n x‖ < ε / 2} μ''

Tactic:
exact nullMeasurableSet_lt (by fun_prop) (by fun_prop)

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

Goal state before:
pp: case h₂
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''
⊢ ∫ (a : Ω'') in {x | ε / 2 ≤ ‖Y n x - X n x‖}, ‖F (Y n a) - F (X n a)‖ ∂μ'' ≤
    ∫ (a : Ω'') in {x | ε / 2 ≤ ‖Y n x - X n x‖}, M ∂μ''

Tactic:
refine setIntegral_mono h_int_sub.integrableOn integrableOn_const fun a ↦ ?_

Goal state after:
case h₂
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''
a : Ω''
⊢ ‖F (Y n a) - F (X n a)‖ ≤ M
Module: Mathlib.Probability.Process.Filtration

Goal state before:
pp: case pos
Ω : Type u_1
ι : Type u_2
m : MeasurableSpace Ω
inst✝ : PartialOrder ι
𝓕 : Filtration ι m
this✝ : TopologicalSpace ι := Preorder.topology ι
this : OrderTopology ι
i : ι
hne : (𝓝[>] i).NeBot
⊢ ↑𝓕₊₊ i ≤ ↑𝓕₊ i

Tactic:
have hineq : (⨅ j > i, 𝓕₊ j) ≤ ⨅ j > i, 𝓕 j := by
      apply le_iInf₂ fun u hu => ?_
      have hiou : Set.Ioo i u ∈ 𝓝[>] i := by
        rw [mem_nhdsWithin_iff_exists_mem_nhds_inter]
        exact ⟨Set.Iio u, (isOpen_Iio' u).mem_nhds hu, fun _ hx ↦ ⟨hx.2, hx.1⟩⟩
      obtain ⟨v, hv⟩ := hne.nonempty_of_mem hiou
      have hle₁ : (⨅ j > i, 𝓕₊ j) ≤ 𝓕₊ v := iInf₂_le_of_le v hv.1 le_rfl
      have hle₂ : 𝓕₊ v ≤ 𝓕 u := by
        by_cases hnv : (𝓝[>] v).NeBot
        · simpa [rightCont_eq_of_neBot_nhdsGT] using iInf₂_le_of_le u hv.2 le_rfl
        · simpa [rightCont_apply, hnv] using 𝓕.mono hv.2.le
      exact hle₁.trans hle₂
    simpa [rightCont_eq_of_neBot_nhdsGT] using hineq

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

Goal state before:
pp: α : Type u_2
inst✝¹ : MeasurableSpace α
μ : Measure α
inst✝ : IsFiniteMeasure μ
r : ℝ≥0∞
s : ℕ → Set α
hs : ∀ (n : ℕ), MeasurableSet (s n)
hr₀ : r ≠ 0
hr : ∀ (n : ℕ), r ≤ μ (s n)
M : (α → ℝ) → Set α := fun f ↦ {x | eLpNormEssSup f μ < ↑‖f x‖₊}
N : Set α := ⋃ u, M ((⋂ n ∈ u, s n).indicator 1)
hN₀ : μ N = 0
hN₁ : ∀ (u : Finset ℕ), ((⋂ n ∈ u, s n) \ N).Nonempty → 0 < μ (⋂ n ∈ u, s n)
f : ℕ → α → ℝ≥0∞ := fun n ↦ (↑(n + 1))⁻¹ • ∑ k ∈ Finset.range (n + 1), (s k).indicator 1
hfapp : ∀ (n : ℕ) (a : α), f n a = (↑(n + 1))⁻¹ * ∑ k ∈ Finset.range (n + 1), (s k).indicator 1 a
hf : ∀ (n : ℕ), Measurable (f n)
hf₁ : ∀ (n : ℕ), f n ≤ 1
n : ℕ
⊢ ↑(n + 1) ≠ 0 ∨ ∑ x ∈ Finset.range (n + 1), μ (s x) ≠ 0

Tactic:
by simp

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

Goal state before:
pp: α : Type u_2
inst✝¹ : MeasurableSpace α
μ : Measure α
inst✝ : IsFiniteMeasure μ
r : ℝ≥0∞
s : ℕ → Set α
hs : ∀ (n : ℕ), MeasurableSet (s n)
hr₀ : r ≠ 0
hr : ∀ (n : ℕ), r ≤ μ (s n)
M : (α → ℝ) → Set α := fun f ↦ {x | eLpNormEssSup f μ < ↑‖f x‖₊}
N : Set α := ⋃ u, M ((⋂ n ∈ u, s n).indicator 1)
hN₀ : μ N = 0
hN₁ : ∀ (u : Finset ℕ), ((⋂ n ∈ u, s n) \ N).Nonempty → 0 < μ (⋂ n ∈ u, s n)
f : ℕ → α → ℝ≥0∞ := fun n ↦ (↑(n + 1))⁻¹ • ∑ k ∈ Finset.range (n + 1), (s k).indicator 1
hfapp : ∀ (n : ℕ) (a : α), f n a = (↑(n + 1))⁻¹ * ∑ k ∈ Finset.range (n + 1), (s k).indicator 1 a
hf : ∀ (n : ℕ), Measurable (f n)
hf₁ : ∀ (n : ℕ), f n ≤ 1
n : ℕ
⊢ ↑(n + 1) ≠ ∞ ∨ ∑ x ∈ Finset.range (n + 1), μ (s x) ≠ ∞

Tactic:
by simp

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

Goal state before:
pp: α : Type u_2
inst✝¹ : MeasurableSpace α
μ : Measure α
inst✝ : IsFiniteMeasure μ
r : ℝ≥0∞
s : ℕ → Set α
hs : ∀ (n : ℕ), MeasurableSet (s n)
hr₀ : r ≠ 0
hr : ∀ (n : ℕ), r ≤ μ (s n)
M : (α → ℝ) → Set α := fun f ↦ {x | eLpNormEssSup f μ < ↑‖f x‖₊}
N : Set α := ⋃ u, M ((⋂ n ∈ u, s n).indicator 1)
hN₀ : μ N = 0
hN₁ : ∀ (u : Finset ℕ), ((⋂ n ∈ u, s n) \ N).Nonempty → 0 < μ (⋂ n ∈ u, s n)
f : ℕ → α → ℝ≥0∞ := fun n ↦ (↑(n + 1))⁻¹ • ∑ k ∈ Finset.range (n + 1), (s k).indicator 1
hfapp : ∀ (n : ℕ) (a : α), f n a = (↑(n + 1))⁻¹ * ∑ k ∈ Finset.range (n + 1), (s k).indicator 1 a
hf : ∀ (n : ℕ), Measurable (f n)
hf₁ : ∀ (n : ℕ), f n ≤ 1
hrf : ∀ (n : ℕ), r ≤ ∫⁻ (a : α), f n a ∂μ
hμ : μ ≠ 0
this : ∫⁻ (x : α), limsup (fun x_1 ↦ f x_1 x) atTop ∂μ ≤ μ univ
x : α
hxN : x ∉ N
hx : ⨍⁻ (a : α), limsup (fun x ↦ f x a) atTop ∂μ ≤ limsup (fun x_1 ↦ f x_1 x) atTop
⊢ ∫⁻ (a : α), 1 a ∂(μ univ)⁻¹ • μ ≠ ∞

Tactic:
by simp

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
a✝ : IsProbabilityMeasure (κ a)
hYt : (κ a) (⋂ i, Y i ⁻¹' t i) = ∏ i, (κ a) (Y i ⁻¹' t i)
hg : (κ a) (⋂ i, g i) = ∏ i, (κ a) (g i)
⊢ (∏ i, if i ∈ s then (κ a)[f i | Y i ⁻¹' t i] else 1) = ∏ i ∈ s, (κ a)[f i | Y i ⁻¹' t i]

Tactic:
by simp

Goal state after:
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
⊢ eLpNorm f p (dirac i) = eLpNorm f p (count.restrict {i})

Tactic:
by simp

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

Goal state before:
pp: case neg.refine_1
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
ε : ℝ≥0∞
hε : ε ≠ 0
hε_top : ¬ε = ∞
s✝ : Set α
hμs : μ s✝ ≠ ∞
hfs : ∀ (i : ι), eLpNorm (s✝ᶜ.indicator (f i)) p μ ≤ ↑ε.toNNReal
s : Set α
⊢ ∀ ⦃t : Set α⦄,
    s ⊆ t → (∀ (i : ι), eLpNorm (t.indicator (f i)) p μ ≤ ε) → ∀ (i : ι), eLpNorm (s.indicator (f i)) p μ ≤ ε

Tactic:
t

Goal state after:
case neg.refine_1
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
ε : ℝ≥0∞
hε : ε ≠ 0
hε_top : ¬ε = ∞
s✝ : Set α
hμs : μ s✝ ≠ ∞
hfs : ∀ (i : ι), eLpNorm (s✝ᶜ.indicator (f i)) p μ ≤ ↑ε.toNNReal
s t : Set α
⊢ s ⊆ t → (∀ (i : ι), eLpNorm (t.indicator (f i)) p μ ≤ ε) → ∀ (i : ι), eLpNorm (s.indicator (f i)) p μ ≤ ε
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
ε : ℝ≥0∞
hε : ε ≠ 0
s : Set α
hμs : s ∈ μ.cofinite
hsm : MeasurableSet s
hfs : ∀ (i : ι), eLpNorm (s.indicator (f i)) p μ ≤ ε
⊢ ∀ (i : ι), eLpNorm (sᶜᶜ.indicator (f i)) p μ ≤ ε

Tactic:
rwa [compl_compl s]

Goal state after:
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 g : ι → α → β
p : ℝ≥0∞
hf : UnifTight f p μ
hg : UnifTight g p μ
hf_meas : ∀ (i : ι), AEStronglyMeasurable (f i) μ
hg_meas : ∀ (i : ι), AEStronglyMeasurable (g i) μ
ε : ℝ≥0
hε : 0 < ε
η : ℝ≥0∞
hη_pos : 0 < η
hη_top : η = ∞
hη :
  ∀ (f g : α → β),
    AEStronglyMeasurable f μ →
      AEStronglyMeasurable g μ → eLpNorm f p μ ≤ ∞ → eLpNorm g p μ ≤ ∞ → eLpNorm (f + g) p μ < ↑ε
⊢ μ ∅ ≠ ∞

Tactic:
by simp

Goal state after:
Module: Mathlib.MeasureTheory.Group.FoelnerFilter

Goal state before:
pp: G : Type u_1
X : Type u_2
inst✝⁴ : MeasurableSpace X
μ : Measure X
inst✝³ : Group G
inst✝² : MulAction G X
ι : Type u_3
l : Filter ι
inst✝¹ : NeZero μ
inst✝ : IsFiniteMeasure μ
⊢ ∀ᶠ (i : ι) in l, MeasurableSet univ

Tactic:
by simp

Goal state after:
Module: Mathlib.MeasureTheory.Group.FoelnerFilter

Goal state before:
pp: G : Type u_1
X : Type u_2
inst✝⁴ : MeasurableSpace X
μ : Measure X
inst✝³ : Group G
inst✝² : MulAction G X
ι : Type u_3
l : Filter ι
inst✝¹ : NeZero μ
inst✝ : IsFiniteMeasure μ
⊢ ∀ᶠ (i : ι) in l, μ univ ≠ ∞

Tactic:
by simp

Goal state after:
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
p : ℝ≥0∞
g : α → β
hp_ne_top : p ≠ ∞
hg : MemLp g p μ
ε : ℝ≥0
hε : 0 < ε
hε_top : ↑ε = ∞
⊢ μ ∅ ≠ ∞

Tactic:
by simp

Goal state after:
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✝¹ : NormedAddCommGroup β
p : ℝ≥0∞
inst✝ : Subsingleton ι
hp_top : p ≠ ∞
f : ι → α → β
hf : ∀ (i : ι), MemLp (f i) p μ
ε : ℝ≥0
hε : 0 < ε
hε_top : ↑ε = ∞
⊢ μ ∅ ≠ ∞

Tactic:
by simp

Goal state after:
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✝¹ : NormedAddCommGroup β
p : ℝ≥0∞
inst✝ : Subsingleton ι
hp_top : p ≠ ∞
f : ι → α → β
hf : ∀ (i : ι), MemLp (f i) p μ
ε : ℝ≥0
hε : 0 < ε
hε_top : ¬↑ε = ∞
hι : ¬Nonempty ι
⊢ μ ∅ ≠ ∞

Tactic:
by simp

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

Goal state before:
pp: α : Type u_1
β : Type u_2
m : MeasurableSpace α
μ : Measure α
inst✝ : NormedAddCommGroup β
p : ℝ≥0∞
hp_top : p ≠ ∞
n : ℕ
h : ∀ {f : Fin n → α → β}, (∀ (i : Fin n), MemLp (f i) p μ) → UnifTight f p μ
f : Fin (n + 1) → α → β
hfLp : ∀ (i : Fin (n + 1)), MemLp (f i) p μ
ε : ℝ≥0
hε : 0 < ε
hε_top : ↑ε = ∞
⊢ μ ∅ ≠ ∞

Tactic:
by simp

Goal state after:
Module: Mathlib.MeasureTheory.Group.GeometryOfNumbers

Goal state before:
pp: E : Type u_1
inst✝⁶ : MeasurableSpace E
μ : Measure E
F s : Set E
inst✝⁵ : NormedAddCommGroup E
inst✝⁴ : NormedSpace ℝ E
inst✝³ : BorelSpace E
inst✝² : FiniteDimensional ℝ E
inst✝¹ : μ.IsAddHaarMeasure
L : AddSubgroup E
inst✝ : Countable ↥L
fund : IsAddFundamentalDomain (↥L) F μ
h_symm : ∀ x ∈ s, -x ∈ s
h_conv : Convex ℝ s
h : μ F * 2 ^ finrank ℝ E < μ s
⊢ 0 ≤ 2⁻¹

Tactic:
by simp

Goal state after: