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

Goal state before:
pp: case pos
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∞
f : ι → α → β
inst✝ : IsFiniteMeasure μ
hp : 1 ≤ p
hp' : p ≠ ∞
hf : ∀ (i : ι), StronglyMeasurable (f i)
h : ∀ (ε : ℝ), 0 < ε → ∃ C, ∀ (i : ι), eLpNorm ({x | C ≤ ‖f i x‖₊}.indicator (f i)) p μ ≤ ENNReal.ofReal ε
C : ℝ≥0
hC : ∀ (i : ι), eLpNorm ({x | C ≤ ‖f i x‖₊}.indicator (f i)) p μ ≤ ENNReal.ofReal 1
i : ι
x : α
hx : x ∈ {x | ‖f i x‖₊ < C}
⊢ ‖f i x‖ₑ ≤ ‖f i x + {x | C ≤ ‖f i x‖₊}.indicator (f i) x‖ₑ

Tactic:
Set.indicator_of_notMem,

Goal state after:
case pos
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∞
f : ι → α → β
inst✝ : IsFiniteMeasure μ
hp : 1 ≤ p
hp' : p ≠ ∞
hf : ∀ (i : ι), StronglyMeasurable (f i)
h : ∀ (ε : ℝ), 0 < ε → ∃ C, ∀ (i : ι), eLpNorm ({x | C ≤ ‖f i x‖₊}.indicator (f i)) p μ ≤ ENNReal.ofReal ε
C : ℝ≥0
hC : ∀ (i : ι), eLpNorm ({x | C ≤ ‖f i x‖₊}.indicator (f i)) p μ ≤ ENNReal.ofReal 1
i : ι
x : α
hx : x ∈ {x | ‖f i x‖₊ < C}
⊢ ‖f i x‖ₑ ≤ ‖f i x + 0‖ₑ

case pos.h
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∞
f : ι → α → β
inst✝ : IsFiniteMeasure μ
hp : 1 ≤ p
hp' : p ≠ ∞
hf : ∀ (i : ι), StronglyMeasurable (f i)
h : ∀ (ε : ℝ), 0 < ε → ∃ C, ∀ (i : ι), eLpNorm ({x | C ≤ ‖f i x‖₊}.indicator (f i)) p μ ≤ ENNReal.ofReal ε
C : ℝ≥0
hC : ∀ (i : ι), eLpNorm ({x | C ≤ ‖f i x‖₊}.indicator (f i)) p μ ≤ ENNReal.ofReal 1
i : ι
x : α
hx : x ∈ {x | ‖f i x‖₊ < C}
⊢ x ∉ {x | C ≤ ‖f i x‖₊}
Module: Mathlib.MeasureTheory.Measure.ProbabilityMeasure

Goal state before:
pp: Ω : Type u_1
Ω' : Type u_2
inst✝⁵ : MeasurableSpace Ω
inst✝⁴ : MeasurableSpace Ω'
inst✝³ : TopologicalSpace Ω
inst✝² : OpensMeasurableSpace Ω
inst✝¹ : TopologicalSpace Ω'
inst✝ : BorelSpace Ω'
ι : Type u_3
L : Filter ι
νs : ι → ProbabilityMeasure Ω
ν : ProbabilityMeasure Ω
lim : Tendsto νs L (𝓝 ν)
f : Ω → Ω'
f_cont : Continuous[inst✝³, inst✝¹] f
⊢ Tendsto (fun i ↦ (νs i).map ⋯) L (𝓝 (ν.map ⋯))

Tactic:
by
  rw [ProbabilityMeasure.tendsto_iff_forall_lintegral_tendsto] at lim ⊢
  intro g
  convert! lim (g.compContinuous ⟨f, f_cont⟩) <;>
  · simp only [map, compContinuous_apply, ContinuousMap.coe_mk]
    refine lintegral_map ?_ f_cont.measurable
    exact (ENNReal.continuous_coe.comp g.continuous).measurable

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

Goal state before:
pp: Ω : Type u_1
inst✝² : MeasurableSpace Ω
inst✝¹ : TopologicalSpace Ω
inst✝ : OpensMeasurableSpace Ω
γ : Type u_2
F : Filter γ
μs : γ → FiniteMeasure Ω
μ : FiniteMeasure Ω
h : ∀ (f : Ω →ᵇ ℝ≥0), Tendsto (fun i ↦ ∫⁻ (x : Ω), ↑(f x) ∂↑(μs i)) F (𝓝 (∫⁻ (x : Ω), ↑(f x) ∂↑μ))
f : Ω →ᵇ ℝ
f_pos : Ω →ᵇ ℝ≥0 := f.nnrealPart
_def_f_pos : f_pos = f.nnrealPart
f_neg : Ω →ᵇ ℝ≥0 := (-f).nnrealPart
_def_f_neg : f_neg = (-f).nnrealPart
tends_pos : Tendsto (ENNReal.toReal ∘ fun i ↦ ∫⁻ (x : Ω), ↑(f_pos x) ∂↑(μs i)) F (𝓝 (∫⁻ (x : Ω), ↑(f_pos x) ∂↑μ).toReal)
⊢ Tendsto (fun i ↦ ∫ (x : Ω), ↑(f_pos x) ∂↑(μs i) - ∫ (x : Ω), ↑(f_neg x) ∂↑(μs i)) F
    (𝓝 (∫ (x : Ω), ↑(f_pos x) ∂↑μ - ∫ (x : Ω), ↑(f_neg x) ∂↑μ))

Tactic:
have tends_neg := (ENNReal.tendsto_toReal (f_neg.lintegral_lt_top_of_nnreal μ).ne).comp (h f_neg)

Goal state after:
Ω : Type u_1
inst✝² : MeasurableSpace Ω
inst✝¹ : TopologicalSpace Ω
inst✝ : OpensMeasurableSpace Ω
γ : Type u_2
F : Filter γ
μs : γ → FiniteMeasure Ω
μ : FiniteMeasure Ω
h : ∀ (f : Ω →ᵇ ℝ≥0), Tendsto (fun i ↦ ∫⁻ (x : Ω), ↑(f x) ∂↑(μs i)) F (𝓝 (∫⁻ (x : Ω), ↑(f x) ∂↑μ))
f : Ω →ᵇ ℝ
f_pos : Ω →ᵇ ℝ≥0 := f.nnrealPart
_def_f_pos : f_pos = f.nnrealPart
f_neg : Ω →ᵇ ℝ≥0 := (-f).nnrealPart
_def_f_neg : f_neg = (-f).nnrealPart
tends_pos : Tendsto (ENNReal.toReal ∘ fun i ↦ ∫⁻ (x : Ω), ↑(f_pos x) ∂↑(μs i)) F (𝓝 (∫⁻ (x : Ω), ↑(f_pos x) ∂↑μ).toReal)
tends_neg : Tendsto (ENNReal.toReal ∘ fun i ↦ ∫⁻ (x : Ω), ↑(f_neg x) ∂↑(μs i)) F (𝓝 (∫⁻ (x : Ω), ↑(f_neg x) ∂↑μ).toReal)
⊢ Tendsto (fun i ↦ ∫ (x : Ω), ↑(f_pos x) ∂↑(μs i) - ∫ (x : Ω), ↑(f_neg x) ∂↑(μs i)) F
    (𝓝 (∫ (x : Ω), ↑(f_pos x) ∂↑μ - ∫ (x : Ω), ↑(f_neg x) ∂↑μ))
Module: Mathlib.MeasureTheory.Measure.Portmanteau

Goal state before:
pp: case mp
Ω : Type u_1
inst✝⁴ : MeasurableSpace Ω
inst✝³ : TopologicalSpace Ω
inst✝² : OpensMeasurableSpace Ω
ι : Type u_2
L : Filter ι
μ : Measure Ω
μs : ι → Measure Ω
inst✝¹ : IsProbabilityMeasure μ
inst✝ : ∀ (i : ι), IsProbabilityMeasure (μs i)
⊢ (∀ (F : Set Ω), IsClosed[inst✝³] F → limsup (fun i ↦ (μs i) F) L ≤ μ F) →
    ∀ (G : Set Ω), IsOpen[inst✝³] G → μ G ≤ liminf (fun i ↦ (μs i) G) L

Tactic:
intro h G G_open
    exact le_measure_liminf_of_limsup_measure_compl_le
      G_open.measurableSet (h Gᶜ (isClosed_compl_iff.mpr G_open))

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

Goal state before:
pp: case inr
Ω : Type u_1
ι : Type u_2
L : Filter ι
inst✝⁴ : MeasurableSpace Ω
inst✝³ : TopologicalSpace Ω
inst✝² : PseudoMetrizableSpace Ω
inst✝¹ : OpensMeasurableSpace Ω
μ : Measure Ω
inst✝ : IsFiniteMeasure μ
μs : ι → Measure Ω
h : ∀ {E : Set Ω}, MeasurableSet E → μ (frontier E) = 0 → Tendsto (fun i ↦ (μs i) E) L (𝓝 (μ E))
F : Set Ω
F_closed : IsClosed[inst✝³] F
this : PseudoMetricSpace Ω := pseudoMetrizableSpacePseudoMetric Ω
h✝ : L.NeBot
ex : ∃ rs, Tendsto rs atTop (𝓝 0) ∧ ∀ (n : ℕ), 0 < rs n ∧ μ (frontier (Metric.thickening (rs n) F)) = 0
rs : ℕ → ℝ := Classical.choose ex
rs_lim : Tendsto rs atTop (𝓝 0)
rs_pos : ∀ (n : ℕ), 0 < rs n
rs_null : ∀ (n : ℕ), μ (frontier (Metric.thickening (rs n) F)) = 0
Fthicks_open : ∀ (n : ℕ), IsOpen[inst✝³] (Metric.thickening (rs n) F)
key : ∀ (n : ℕ), Tendsto (fun i ↦ (μs i) (Metric.thickening (rs n) F)) L (𝓝 (μ (Metric.thickening (rs n) F)))
ε : ℝ≥0
ε_pos : 0 < ε
μF_finite : μ F < ∞
keyB : Tendsto (fun r ↦ μ (Metric.cthickening r F)) (𝓝 0) (𝓝 (μ F))
nhds : Iio (μ F + ↑ε) ∈ 𝓝 (μ F)
⊢ limsup (fun i ↦ (μs i) F) L ≤ μ F + ↑ε

Tactic:
specialize rs_lim (keyB nhds)

Goal state after:
case inr
Ω : Type u_1
ι : Type u_2
L : Filter ι
inst✝⁴ : MeasurableSpace Ω
inst✝³ : TopologicalSpace Ω
inst✝² : PseudoMetrizableSpace Ω
inst✝¹ : OpensMeasurableSpace Ω
μ : Measure Ω
inst✝ : IsFiniteMeasure μ
μs : ι → Measure Ω
h : ∀ {E : Set Ω}, MeasurableSet E → μ (frontier E) = 0 → Tendsto (fun i ↦ (μs i) E) L (𝓝 (μ E))
F : Set Ω
F_closed : IsClosed[inst✝³] F
this : PseudoMetricSpace Ω := pseudoMetrizableSpacePseudoMetric Ω
h✝ : L.NeBot
ex : ∃ rs, Tendsto rs atTop (𝓝 0) ∧ ∀ (n : ℕ), 0 < rs n ∧ μ (frontier (Metric.thickening (rs n) F)) = 0
rs : ℕ → ℝ := Classical.choose ex
rs_pos : ∀ (n : ℕ), 0 < rs n
rs_null : ∀ (n : ℕ), μ (frontier (Metric.thickening (rs n) F)) = 0
Fthicks_open : ∀ (n : ℕ), IsOpen[inst✝³] (Metric.thickening (rs n) F)
key : ∀ (n : ℕ), Tendsto (fun i ↦ (μs i) (Metric.thickening (rs n) F)) L (𝓝 (μ (Metric.thickening (rs n) F)))
ε : ℝ≥0
rs_lim : (fun r ↦ μ (Metric.cthickening r F)) ⁻¹' Iio (μ F + ↑ε) ∈ map rs atTop
ε_pos : 0 < ε
μF_finite : μ F < ∞
keyB : Tendsto (fun r ↦ μ (Metric.cthickening r F)) (𝓝 0) (𝓝 (μ F))
nhds : Iio (μ F + ↑ε) ∈ 𝓝 (μ F)
⊢ limsup (fun i ↦ (μs i) F) L ≤ μ F + ↑ε
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
γ : ι → Type u_9
mβ : (i : ι) → MeasurableSpace (β i)
mγ : (i : ι) → MeasurableSpace (γ i)
f : (i : ι) → Ω → β i
h : iIndepFun f κ μ
g : (i : ι) → β i → γ i
hf : ∀ (i : ι), AEMeasurable (f i) (⇑κ ∘ₘ μ)
hg : ∀ (i : ι), AEMeasurable (g i) (Measure.map (f i) (⇑κ ∘ₘ μ))
⊢ iIndepFun (fun i ↦ g i ∘ f i) κ μ

Tactic:
by
  have h : iIndepFun (fun i ↦ ((hg i).mk (g i)) ∘ f i) κ μ :=
    iIndepFun.comp h (fun i ↦ (hg i).mk (g i)) fun i ↦ (hg i).measurable_mk
  have h_ae i := ae_of_ae_map (hf i) (hg i).ae_eq_mk.symm
  exact iIndepFun.congr' h fun i ↦ Measure.ae_ae_of_ae_comp (h_ae i)

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

Goal state before:
pp: Ω : Type u_1
mΩ : MeasurableSpace Ω
X Y : Ω → ℝ
μ : Measure Ω
h : X =ᵐ[μ] Y
⊢ eVar[X; μ] = eVar[Y; μ]

Tactic:
by
  simp_rw [evariance, integral_congr_ae h]
  apply lintegral_congr_ae
  filter_upwards [h] with ω hω using by simp [hω]

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

Goal state before:
pp: Ω : Type u_1
mΩ : MeasurableSpace Ω
μ : Measure Ω
E : Type u_5
F : Type u_6
G : Type u_7
inst✝⁹ : TopologicalSpace E
inst✝⁸ : ContinuousENorm E
inst✝⁷ : MeasurableSpace E
inst✝⁶ : OpensMeasurableSpace E
inst✝⁵ : TopologicalSpace F
inst✝⁴ : ContinuousENorm F
inst✝³ : MeasurableSpace F
inst✝² : OpensMeasurableSpace F
inst✝¹ : TopologicalSpace G
inst✝ : ContinuousENorm G
X : Ω → E
Y : Ω → F
hXY : X ⟂ᵢ[μ] Y
hX : Integrable X μ
hY : Integrable Y μ
B : E → F → G
cB : Continuous (Function.uncurry B)
C : ℝ≥0
hB : ∀ (x : E) (y : F), ‖B x y‖ₑ ≤ ↑C * ‖x‖ₑ * ‖y‖ₑ
⊢ ∫⁻ (a : Ω), ‖(fun ω ↦ B (X ω) (Y ω)) a‖ₑ ∂μ ≤ ↑C * ∫⁻ (ω : Ω), ‖X ω‖ₑ * ‖Y ω‖ₑ ∂μ

Tactic:
rw [← lintegral_const_mul'' _ (by fun_prop)]

Goal state after:
Ω : Type u_1
mΩ : MeasurableSpace Ω
μ : Measure Ω
E : Type u_5
F : Type u_6
G : Type u_7
inst✝⁹ : TopologicalSpace E
inst✝⁸ : ContinuousENorm E
inst✝⁷ : MeasurableSpace E
inst✝⁶ : OpensMeasurableSpace E
inst✝⁵ : TopologicalSpace F
inst✝⁴ : ContinuousENorm F
inst✝³ : MeasurableSpace F
inst✝² : OpensMeasurableSpace F
inst✝¹ : TopologicalSpace G
inst✝ : ContinuousENorm G
X : Ω → E
Y : Ω → F
hXY : X ⟂ᵢ[μ] Y
hX : Integrable X μ
hY : Integrable Y μ
B : E → F → G
cB : Continuous (Function.uncurry B)
C : ℝ≥0
hB : ∀ (x : E) (y : F), ‖B x y‖ₑ ≤ ↑C * ‖x‖ₑ * ‖y‖ₑ
⊢ ∫⁻ (a : Ω), ‖(fun ω ↦ B (X ω) (Y ω)) a‖ₑ ∂μ ≤ ∫⁻ (a : Ω), ↑C * (‖X a‖ₑ * ‖Y a‖ₑ) ∂μ
Module: Mathlib.Probability.Moments.Variance

Goal state before:
pp: case pos
Ω : Type u_1
mΩ : MeasurableSpace Ω
μ : Measure Ω
inst✝ : IsProbabilityMeasure μ
X : Ω → ℝ
hX : AEStronglyMeasurable X μ
hℒ : MemLp X 2 μ
⊢ eVar[X; μ] = ∫⁻ (ω : Ω), ‖X ω‖ₑ ^ 2 ∂μ - ENNReal.ofReal ((∫ (x : Ω), X x ∂μ) ^ 2)

Tactic:
rw [← ofReal_variance hℒ, variance_eq_sub hℒ, ENNReal.ofReal_sub _ (sq_nonneg _)]

Goal state after:
case pos
Ω : Type u_1
mΩ : MeasurableSpace Ω
μ : Measure Ω
inst✝ : IsProbabilityMeasure μ
X : Ω → ℝ
hX : AEStronglyMeasurable X μ
hℒ : MemLp X 2 μ
⊢ ENNReal.ofReal (∫ (x : Ω), (X ^ 2) x ∂μ) - ENNReal.ofReal ((∫ (x : Ω), X x ∂μ) ^ 2) =
    ∫⁻ (ω : Ω), ‖X ω‖ₑ ^ 2 ∂μ - ENNReal.ofReal ((∫ (x : Ω), X x ∂μ) ^ 2)
Module: Mathlib.Probability.Moments.Covariance

Goal state before:
pp: Ω : Type u_1
mΩ : MeasurableSpace Ω
μ : Measure Ω
ι : Type u_2
X : ι → Ω → ℝ
s : Finset ι
inst✝ : IsFiniteMeasure μ
ι' : Type u_3
Y : ι' → Ω → ℝ
t : Finset ι'
hX : ∀ i ∈ s, MemLp (X i) 2 μ
hY : ∀ i ∈ t, MemLp (Y i) 2 μ
⊢ MemLp (∑ j ∈ t, Y j) 2 μ

Tactic:
· exact memLp_finsetSum' t hY

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

Goal state before:
pp: E : Type u_3
F : Type u_4
inst✝⁵ : NormedAddCommGroup E
inst✝⁴ : NormedSpace ℝ E
mE : MeasurableSpace E
inst✝³ : NormedAddCommGroup F
inst✝² : NormedSpace ℝ F
mF : MeasurableSpace F
μ : Measure E
inst✝¹ : IsProbabilityMeasure μ
ν : Measure F
inst✝ : IsProbabilityMeasure ν
L : StrongDual ℝ (E × F)
hLμ : MemLp (⇑(L ∘SL ContinuousLinearMap.inl ℝ E F)) 2 μ
hLν : MemLp (⇑(L ∘SL ContinuousLinearMap.inr ℝ E F)) 2 ν
⊢ Var[⇑L; μ.prod ν] = Var[⇑(L ∘SL ContinuousLinearMap.inl ℝ E F); μ] + Var[⇑(L ∘SL ContinuousLinearMap.inr ℝ E F); ν]

Tactic:
have : L = fun x : E × F ↦ L.comp (.inl ℝ E F) x.1 + L.comp (.inr ℝ E F) x.2 := by
    ext; rw [L.comp_inl_add_comp_inr]

Goal state after:
E : Type u_3
F : Type u_4
inst✝⁵ : NormedAddCommGroup E
inst✝⁴ : NormedSpace ℝ E
mE : MeasurableSpace E
inst✝³ : NormedAddCommGroup F
inst✝² : NormedSpace ℝ F
mF : MeasurableSpace F
μ : Measure E
inst✝¹ : IsProbabilityMeasure μ
ν : Measure F
inst✝ : IsProbabilityMeasure ν
L : StrongDual ℝ (E × F)
hLμ : MemLp (⇑(L ∘SL ContinuousLinearMap.inl ℝ E F)) 2 μ
hLν : MemLp (⇑(L ∘SL ContinuousLinearMap.inr ℝ E F)) 2 ν
this : ⇑L = fun x ↦ (L ∘SL ContinuousLinearMap.inl ℝ E F) x.1 + (L ∘SL ContinuousLinearMap.inr ℝ E F) x.2
⊢ Var[⇑L; μ.prod ν] = Var[⇑(L ∘SL ContinuousLinearMap.inl ℝ E F); μ] + Var[⇑(L ∘SL ContinuousLinearMap.inr ℝ E F); ν]
Module: Mathlib.Probability.IdentDistrib

Goal state before:
pp: α : Type u_1
β : Type u_2
γ : Type u_3
inst✝² : MeasurableSpace α
inst✝¹ : MeasurableSpace β
inst✝ : MeasurableSpace γ
μ : Measure α
ν : Measure β
f : α → γ
g : β → γ
h : IdentDistrib f g μ ν
p : γ → Prop
pmeas : MeasurableSet {x | p x}
hp : ∀ᵐ (x : α) ∂μ, p (f x)
⊢ ∀ᵐ (y : γ) ∂Measure.map g ν, p y

Tactic:
rw [← h.map_eq]

Goal state after:
α : Type u_1
β : Type u_2
γ : Type u_3
inst✝² : MeasurableSpace α
inst✝¹ : MeasurableSpace β
inst✝ : MeasurableSpace γ
μ : Measure α
ν : Measure β
f : α → γ
g : β → γ
h : IdentDistrib f g μ ν
p : γ → Prop
pmeas : MeasurableSet {x | p x}
hp : ∀ᵐ (x : α) ∂μ, p (f x)
⊢ ∀ᵐ (y : γ) ∂Measure.map f μ, p y
Module: Mathlib.Probability.IdentDistrib

Goal state before:
pp: case neg
α : Type u_1
β : Type u_2
γ : Type u_3
inst✝⁵ : MeasurableSpace α
inst✝⁴ : MeasurableSpace β
inst✝³ : MeasurableSpace γ
μ : Measure α
ν : Measure β
f : α → γ
g : β → γ
inst✝² : NormedAddCommGroup γ
inst✝¹ : NormedSpace ℝ γ
inst✝ : BorelSpace γ
h : IdentDistrib f g μ ν
hf : ¬AEStronglyMeasurable f μ
⊢ ∫ (x : α), f x ∂μ = ∫ (x : β), g x ∂ν

Tactic:
integral_non_aestronglyMeasurable hf

Goal state after:
case neg
α : Type u_1
β : Type u_2
γ : Type u_3
inst✝⁵ : MeasurableSpace α
inst✝⁴ : MeasurableSpace β
inst✝³ : MeasurableSpace γ
μ : Measure α
ν : Measure β
f : α → γ
g : β → γ
inst✝² : NormedAddCommGroup γ
inst✝¹ : NormedSpace ℝ γ
inst✝ : BorelSpace γ
h : IdentDistrib f g μ ν
hf : ¬AEStronglyMeasurable f μ
⊢ 0 = ∫ (x : β), g x ∂ν
Module: Mathlib.Probability.IdentDistrib

Goal state before:
pp: case neg
α : Type u_1
β : Type u_2
γ : Type u_3
inst✝⁵ : MeasurableSpace α
inst✝⁴ : MeasurableSpace β
inst✝³ : MeasurableSpace γ
μ : Measure α
ν : Measure β
f : α → γ
g : β → γ
inst✝² : NormedAddCommGroup γ
inst✝¹ : NormedSpace ℝ γ
inst✝ : BorelSpace γ
h : IdentDistrib f g μ ν
hf : ¬AEStronglyMeasurable g ν
⊢ 0 = ∫ (x : β), g x ∂ν

Tactic:
integral_non_aestronglyMeasurable hf

Goal state after:
case neg
α : Type u_1
β : Type u_2
γ : Type u_3
inst✝⁵ : MeasurableSpace α
inst✝⁴ : MeasurableSpace β
inst✝³ : MeasurableSpace γ
μ : Measure α
ν : Measure β
f : α → γ
g : β → γ
inst✝² : NormedAddCommGroup γ
inst✝¹ : NormedSpace ℝ γ
inst✝ : BorelSpace γ
h : IdentDistrib f g μ ν
hf : ¬AEStronglyMeasurable g ν
⊢ 0 = 0
Module: Mathlib.MeasureTheory.Function.LpSpace.ContinuousCompMeasurePreserving

Goal state before:
pp: X : Type u_1
Y : Type u_2
inst✝¹¹ : TopologicalSpace X
inst✝¹⁰ : MeasurableSpace X
inst✝⁹ : BorelSpace X
inst✝⁸ : R1Space X
inst✝⁷ : TopologicalSpace Y
inst✝⁶ : MeasurableSpace Y
inst✝⁵ : BorelSpace Y
inst✝⁴ : R1Space Y
μ : Measure X
ν : Measure Y
inst✝³ : μ.InnerRegularCompactLTTop
inst✝² : IsLocallyFiniteMeasure ν
E : Type u_3
inst✝¹ : NormedAddCommGroup E
p : ℝ≥0∞
inst✝ : Fact (1 ≤ p)
α : Type u_4
l : Filter α
f : α → ↥(Lp E p ν)
f₀ : ↥(Lp E p ν)
g : α → C(X, Y)
g₀ : C(X, Y)
hf : Tendsto f l (𝓝 f₀)
hg : Tendsto g l (𝓝 g₀)
hgm : ∀ (a : α), MeasurePreserving (⇑(g a)) μ ν
hgm₀ : MeasurePreserving (⇑g₀) μ ν
hp : p ≠ ∞
this :
  Tendsto (fun gf ↦ (Lp.compMeasurePreserving ⇑↑gf.2 ⋯) gf.1) (𝓝 (f₀, ⟨g₀, hgm₀⟩))
    (𝓝 ((Lp.compMeasurePreserving ⇑↑(f₀, ⟨g₀, hgm₀⟩).2 ⋯) (f₀, ⟨g₀, hgm₀⟩).1))
⊢ Tendsto (fun a ↦ (Lp.compMeasurePreserving ⇑(g a) ⋯) (f a)) l (𝓝 ((Lp.compMeasurePreserving (⇑g₀) hgm₀) f₀))

Tactic:
replace hg : Tendsto (fun a ↦ ⟨g a, hgm a⟩ : α → {g : C(X, Y) // MeasurePreserving g μ ν})
      l (𝓝 ⟨g₀, hgm₀⟩) :=
    tendsto_subtype_rng.2 hg

Goal state after:
X : Type u_1
Y : Type u_2
inst✝¹¹ : TopologicalSpace X
inst✝¹⁰ : MeasurableSpace X
inst✝⁹ : BorelSpace X
inst✝⁸ : R1Space X
inst✝⁷ : TopologicalSpace Y
inst✝⁶ : MeasurableSpace Y
inst✝⁵ : BorelSpace Y
inst✝⁴ : R1Space Y
μ : Measure X
ν : Measure Y
inst✝³ : μ.InnerRegularCompactLTTop
inst✝² : IsLocallyFiniteMeasure ν
E : Type u_3
inst✝¹ : NormedAddCommGroup E
p : ℝ≥0∞
inst✝ : Fact (1 ≤ p)
α : Type u_4
l : Filter α
f : α → ↥(Lp E p ν)
f₀ : ↥(Lp E p ν)
g : α → C(X, Y)
g₀ : C(X, Y)
hf : Tendsto f l (𝓝 f₀)
hgm : ∀ (a : α), MeasurePreserving (⇑(g a)) μ ν
hgm₀ : MeasurePreserving (⇑g₀) μ ν
hp : p ≠ ∞
this :
  Tendsto (fun gf ↦ (Lp.compMeasurePreserving ⇑↑gf.2 ⋯) gf.1) (𝓝 (f₀, ⟨g₀, hgm₀⟩))
    (𝓝 ((Lp.compMeasurePreserving ⇑↑(f₀, ⟨g₀, hgm₀⟩).2 ⋯) (f₀, ⟨g₀, hgm₀⟩).1))
hg : Tendsto (fun a ↦ ⟨g a, ⋯⟩) l (𝓝 ⟨g₀, hgm₀⟩)
⊢ Tendsto (fun a ↦ (Lp.compMeasurePreserving ⇑(g a) ⋯) (f a)) l (𝓝 ((Lp.compMeasurePreserving (⇑g₀) hgm₀) f₀))
Module: Mathlib.MeasureTheory.Group.FoelnerFilter

Goal state before:
pp: case h.refine_3
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
F : ι → Set X
inst✝¹ : SMulInvariantMeasure G X μ
inst✝ : l.NeBot
hfoel : IsFoelner G μ l F
⊢ ∀ (g : G) (s : Set X), mean μ (Ultrafilter.of l) F (g • s) = mean μ (Ultrafilter.of l) F s

Tactic:
exact (hfoel.mono <| Ultrafilter.of_le l).mean_smul_eq_mean

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
h_vol : μ F < μ (2⁻¹ • s)
x y : ↥L
hxy : x ≠ y
h : ¬Disjoint (x +ᵥ 2⁻¹ • s) (y +ᵥ 2⁻¹ • s)
v : E
hv : 2 • v ∈ s
w : E
hw : 2 • w ∈ s
hvw : w - v = ↑(x - y)
⊢ 2⁻¹ • 2 • w + 2⁻¹ • -(2 • v) ∈ s

Tactic:
refine h_conv hw (h_symm _ hv) ?_ ?_ ?_

Goal state after:
case refine_1
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
h_vol : μ F < μ (2⁻¹ • s)
x y : ↥L
hxy : x ≠ y
h : ¬Disjoint (x +ᵥ 2⁻¹ • s) (y +ᵥ 2⁻¹ • s)
v : E
hv : 2 • v ∈ s
w : E
hw : 2 • w ∈ s
hvw : w - v = ↑(x - y)
⊢ 0 ≤ 2⁻¹

case refine_2
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
h_vol : μ F < μ (2⁻¹ • s)
x y : ↥L
hxy : x ≠ y
h : ¬Disjoint (x +ᵥ 2⁻¹ • s) (y +ᵥ 2⁻¹ • s)
v : E
hv : 2 • v ∈ s
w : E
hw : 2 • w ∈ s
hvw : w - v = ↑(x - y)
⊢ 0 ≤ 2⁻¹

case refine_3
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
h_vol : μ F < μ (2⁻¹ • s)
x y : ↥L
hxy : x ≠ y
h : ¬Disjoint (x +ᵥ 2⁻¹ • s) (y +ᵥ 2⁻¹ • s)
v : E
hv : 2 • v ∈ s
w : E
hw : 2 • w ∈ s
hvw : w - v = ↑(x - y)
⊢ 2⁻¹ + 2⁻¹ = 1
Module: Mathlib.MeasureTheory.Integral.CircleTransform

Goal state before:
pp: E : Type u_1
inst✝¹ : NormedAddCommGroup E
inst✝ : NormedSpace ℂ E
R : ℝ
hR : 0 < R
f : ℂ → E
z w : ℂ
hf : ContinuousOn f (sphere z R)
hw : w ∈ ball z R
⊢ Continuous (circleTransform R z w f)

Tactic:
apply_rules [Continuous.smul, continuous_const]

Goal state after:
case hg.hf
E : Type u_1
inst✝¹ : NormedAddCommGroup E
inst✝ : NormedSpace ℂ E
R : ℝ
hR : 0 < R
f : ℂ → E
z w : ℂ
hf : ContinuousOn f (sphere z R)
hw : w ∈ ball z R
⊢ Continuous (deriv (circleMap z R))

case hg.hg.hf
E : Type u_1
inst✝¹ : NormedAddCommGroup E
inst✝ : NormedSpace ℂ E
R : ℝ
hR : 0 < R
f : ℂ → E
z w : ℂ
hf : ContinuousOn f (sphere z R)
hw : w ∈ ball z R
⊢ Continuous fun θ ↦ (circleMap z R θ - w)⁻¹

case hg.hg.hg
E : Type u_1
inst✝¹ : NormedAddCommGroup E
inst✝ : NormedSpace ℂ E
R : ℝ
hR : 0 < R
f : ℂ → E
z w : ℂ
hf : ContinuousOn f (sphere z R)
hw : w ∈ ball z R
⊢ Continuous fun θ ↦ f (circleMap z R θ)
Module: Mathlib.Topology.ContinuousMap.CompactlySupported

Goal state before:
pp: case inr
α : Type u_2
inst✝ : TopologicalSpace α
f : α →C_c ℝ
a : ℝ
ha : 0 ≤ a
x : α
hfx : f x ≤ 0
⊢ max (a * f x) 0 = a * max (f x) 0

Tactic:
simp [mul_nonpos_iff, ha, hfx]

Goal state after:
Module: Mathlib.Topology.ContinuousMap.CompactlySupported

Goal state before:
pp: case inl
α : Type u_2
inst✝ : TopologicalSpace α
f : α →C_c ℝ
a : ℝ
ha : a ≤ 0
x : α
hfx : 0 ≤ f x
⊢ max (a * f x) 0 = max (-a) 0 * max (-f x) 0

Tactic:
simp [mul_nonpos_iff, ha, hfx]

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✝⁴ : RCLike 𝕜
inst✝³ : NormedAddCommGroup E
inst✝² : NormedSpace 𝕜 E
inst✝¹ : NormedAddCommGroup F
inst✝ : NormedSpace 𝕜 F
a b c : E
ω : E → E →L[𝕜] F
γab : Path a b
γbc : Path b c
h₁ : CurveIntegrable ω γab
h₂ : CurveIntegrable ω γbc
instF : NormedSpace ℝ F := NormedSpace.restrictScalars ℝ 𝕜 F
⊢ (∫ (x : ℝ) in 0..1 / 2, 2 • curveIntegralFun ω γab (2 * x)) +
      ∫ (x : ℝ) in 1 / 2..1, 2 • curveIntegralFun ω γbc (2 * x - 1) =
    ∫ᶜ (x : E) in γab, ω x + ∫ᶜ (x : E) in γbc, ω x

Tactic:
rw [intervalIntegral.integral_smul, intervalIntegral.smul_integral_comp_mul_left,
    intervalIntegral.integral_smul,
    intervalIntegral.smul_integral_comp_mul_left (f := (curveIntegralFun ω γbc <| · - 1)),
    intervalIntegral.integral_comp_sub_right]

Goal state after:
𝕜 : Type u_1
E : Type u_2
F : Type u_3
inst✝⁴ : RCLike 𝕜
inst✝³ : NormedAddCommGroup E
inst✝² : NormedSpace 𝕜 E
inst✝¹ : NormedAddCommGroup F
inst✝ : NormedSpace 𝕜 F
a b c : E
ω : E → E →L[𝕜] F
γab : Path a b
γbc : Path b c
h₁ : CurveIntegrable ω γab
h₂ : CurveIntegrable ω γbc
instF : NormedSpace ℝ F := NormedSpace.restrictScalars ℝ 𝕜 F
⊢ (∫ (x : ℝ) in 2 * 0..2 * (1 / 2), curveIntegralFun ω γab x) +
      ∫ (x : ℝ) in 2 * (1 / 2) - 1..2 * 1 - 1, curveIntegralFun ω γbc x =
    ∫ᶜ (x : E) in γab, ω x + ∫ᶜ (x : E) in γbc, ω x
Module: Mathlib.MeasureTheory.Integral.IntervalIntegral.DistLEIntegral

Goal state before:
pp: case hderiv
E✝ : Type u_1
inst✝³ : NormedAddCommGroup E✝
inst✝² : NormedSpace ℝ E✝
f✝ : ℝ → E✝
a b : ℝ
B : ℝ → ℝ
hab : a ≤ b
hBi : IntervalIntegrable B volume a b
E : Type u_1
inst✝¹ : NormedAddCommGroup E
inst✝ : NormedSpace ℝ E
f : ℝ → E
hfc : ContinuousOn f (Icc a b)
hfd : DifferentiableOn ℝ f (Ioo a b)
hfB : ∀ᵐ (t : ℝ), t ∈ Ioo a b → ‖deriv f t‖ ≤ B t
hE : CompleteSpace E
hfB' : (fun x ↦ ‖deriv f x‖) ≤ᵐ[volume.restrict (uIoc a b)] B
⊢ ∀ x ∈ Ioo (min a b) (max a b), HasDerivWithinAt f (deriv f x) (Ioi x) x

Tactic:
min_eq_left hab,

Goal state after:
case hderiv
E✝ : Type u_1
inst✝³ : NormedAddCommGroup E✝
inst✝² : NormedSpace ℝ E✝
f✝ : ℝ → E✝
a b : ℝ
B : ℝ → ℝ
hab : a ≤ b
hBi : IntervalIntegrable B volume a b
E : Type u_1
inst✝¹ : NormedAddCommGroup E
inst✝ : NormedSpace ℝ E
f : ℝ → E
hfc : ContinuousOn f (Icc a b)
hfd : DifferentiableOn ℝ f (Ioo a b)
hfB : ∀ᵐ (t : ℝ), t ∈ Ioo a b → ‖deriv f t‖ ≤ B t
hE : CompleteSpace E
hfB' : (fun x ↦ ‖deriv f x‖) ≤ᵐ[volume.restrict (uIoc a b)] B
⊢ ∀ x ∈ Ioo a (max a b), HasDerivWithinAt f (deriv f x) (Ioi x) x