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

Goal state before:
pp: α : Type u_1
E' : Type u_2
𝕜 : Type u_4
p : ℝ≥0∞
m m0 : MeasurableSpace α
μ : Measure α
inst✝⁴ : RCLike 𝕜
inst✝³ : NormedAddCommGroup E'
inst✝² : InnerProductSpace 𝕜 E'
inst✝¹ : CompleteSpace E'
inst✝ : NormedSpace ℝ E'
hm : m ≤ m0
f : ↥(lpMeas E' 𝕜 m p μ)
hp_ne_zero : p ≠ 0
hp_ne_top : p ≠ ∞
hf_int_finite : ∀ (s : Set α), MeasurableSet s → μ s < ∞ → IntegrableOn (↑↑↑f) s μ
hf_zero : ∀ (s : Set α), MeasurableSet s → μ s < ∞ → ∫ (x : α) in s, ↑↑↑f x ∂μ = 0
⊢ ↑↑↑f =ᵐ[μ] 0

Tactic:
obtain ⟨g, hg_sm, hfg⟩ := lpMeas.ae_fin_strongly_measurable' hm f hp_ne_zero hp_ne_top

Goal state after:
α : Type u_1
E' : Type u_2
𝕜 : Type u_4
p : ℝ≥0∞
m m0 : MeasurableSpace α
μ : Measure α
inst✝⁴ : RCLike 𝕜
inst✝³ : NormedAddCommGroup E'
inst✝² : InnerProductSpace 𝕜 E'
inst✝¹ : CompleteSpace E'
inst✝ : NormedSpace ℝ E'
hm : m ≤ m0
f : ↥(lpMeas E' 𝕜 m p μ)
hp_ne_zero : p ≠ 0
hp_ne_top : p ≠ ∞
hf_int_finite : ∀ (s : Set α), MeasurableSet s → μ s < ∞ → IntegrableOn (↑↑↑f) s μ
hf_zero : ∀ (s : Set α), MeasurableSet s → μ s < ∞ → ∫ (x : α) in s, ↑↑↑f x ∂μ = 0
g : α → E'
hg_sm : FinStronglyMeasurable g (μ.trim hm)
hfg : ↑↑↑f =ᵐ[μ] g
⊢ ↑↑↑f =ᵐ[μ] 0
Module: Mathlib.MeasureTheory.Function.ConditionalExpectation.Unique

Goal state before:
pp: α : Type u_1
F' : Type u_3
m m0 : MeasurableSpace α
μ : Measure α
inst✝³ : NormedAddCommGroup F'
inst✝² : NormedSpace ℝ F'
inst✝¹ : CompleteSpace F'
hm : m ≤ m0
inst✝ : SigmaFinite (μ.trim hm)
f g : α → F'
hf_int_finite : ∀ (s : Set α), MeasurableSet s → μ s < ∞ → IntegrableOn f s μ
hg_int_finite : ∀ (s : Set α), MeasurableSet s → μ s < ∞ → IntegrableOn g s μ
hfg_eq : ∀ (s : Set α), MeasurableSet s → μ s < ∞ → ∫ (x : α) in s, f x ∂μ = ∫ (x : α) in s, g x ∂μ
hfm : AEStronglyMeasurable f μ
hgm : AEStronglyMeasurable g μ
hf_mk_int_finite :
  ∀ (s : Set α), MeasurableSet s → (μ.trim hm) s < ∞ → IntegrableOn (AEStronglyMeasurable.mk f hfm) s (μ.trim hm)
hg_mk_int_finite :
  ∀ (s : Set α), MeasurableSet s → (μ.trim hm) s < ∞ → IntegrableOn (AEStronglyMeasurable.mk g hgm) s (μ.trim hm)
s : Set α
hs : MeasurableSet s
hμs : μ s < ∞
⊢ ∫ (x : α) in s, AEStronglyMeasurable.mk f hfm x ∂μ.trim hm =
    ∫ (x : α) in s, AEStronglyMeasurable.mk g hgm x ∂μ.trim hm

Tactic:
restrict_trim hm _ hs,

Goal state after:
α : Type u_1
F' : Type u_3
m m0 : MeasurableSpace α
μ : Measure α
inst✝³ : NormedAddCommGroup F'
inst✝² : NormedSpace ℝ F'
inst✝¹ : CompleteSpace F'
hm : m ≤ m0
inst✝ : SigmaFinite (μ.trim hm)
f g : α → F'
hf_int_finite : ∀ (s : Set α), MeasurableSet s → μ s < ∞ → IntegrableOn f s μ
hg_int_finite : ∀ (s : Set α), MeasurableSet s → μ s < ∞ → IntegrableOn g s μ
hfg_eq : ∀ (s : Set α), MeasurableSet s → μ s < ∞ → ∫ (x : α) in s, f x ∂μ = ∫ (x : α) in s, g x ∂μ
hfm : AEStronglyMeasurable f μ
hgm : AEStronglyMeasurable g μ
hf_mk_int_finite :
  ∀ (s : Set α), MeasurableSet s → (μ.trim hm) s < ∞ → IntegrableOn (AEStronglyMeasurable.mk f hfm) s (μ.trim hm)
hg_mk_int_finite :
  ∀ (s : Set α), MeasurableSet s → (μ.trim hm) s < ∞ → IntegrableOn (AEStronglyMeasurable.mk g hgm) s (μ.trim hm)
s : Set α
hs : MeasurableSet s
hμs : μ s < ∞
⊢ ∫ (x : α), AEStronglyMeasurable.mk f hfm x ∂(μ.restrict s).trim hm =
    ∫ (x : α), AEStronglyMeasurable.mk g hgm x ∂(μ.restrict s).trim hm
Module: Mathlib.MeasureTheory.Function.ConditionalExpectation.CondexpL1

Goal state before:
pp: α : Type u_1
G : Type u_4
inst✝² : NormedAddCommGroup G
m m0 : MeasurableSpace α
μ : Measure α
s : Set α
inst✝¹ : NormedSpace ℝ G
hm : m ≤ m0
inst✝ : SigmaFinite (μ.trim hm)
hs : MeasurableSet s
hμs : μ s ≠ ∞
x : G
⊢ ∫⁻ (a : α), ‖↑↑(condExpIndL1Fin hm hs hμs x) a‖ₑ ∂μ = ∫⁻ (a : α), ‖↑↑(condExpIndSMul hm hs hμs x) a‖ₑ ∂μ

Tactic:
refine lintegral_congr_ae ?_

Goal state after:
α : Type u_1
G : Type u_4
inst✝² : NormedAddCommGroup G
m m0 : MeasurableSpace α
μ : Measure α
s : Set α
inst✝¹ : NormedSpace ℝ G
hm : m ≤ m0
inst✝ : SigmaFinite (μ.trim hm)
hs : MeasurableSet s
hμs : μ s ≠ ∞
x : G
⊢ (fun a ↦ ‖↑↑(condExpIndL1Fin hm hs hμs x) a‖ₑ) =ᵐ[μ] fun a ↦ ‖↑↑(condExpIndSMul hm hs hμs x) a‖ₑ
Module: Mathlib.InformationTheory.KullbackLeibler.Basic

Goal state before:
pp: α : Type u_1
mα : MeasurableSpace α
μ ν : Measure α
inst✝¹ : IsFiniteMeasure μ
inst✝ : IsFiniteMeasure ν
h : ∫⁻ (x : α), ENNReal.ofReal (klFun (μ.rnDeriv ν x).toReal) ∂ν = 0
h_ne : μ ≪ ν ∧ Integrable (llr μ ν) μ
⊢ Measurable fun x ↦ ENNReal.ofReal (klFun (μ.rnDeriv ν x).toReal)

Tactic:
by fun_prop

Goal state after:
Module: Mathlib.MeasureTheory.Function.ConditionalExpectation.CondexpL1

Goal state before:
pp: α : Type u_1
G : Type u_4
inst✝² : NormedAddCommGroup G
m m0 : MeasurableSpace α
μ : Measure α
inst✝¹ : NormedSpace ℝ G
hm : m ≤ m0
inst✝ : SigmaFinite (μ.trim hm)
x : G
⊢ ↑↑0 =ᵐ[μ] ↑↑0

Tactic:
Lp.coeFn_zero,

Goal state after:
α : Type u_1
G : Type u_4
inst✝² : NormedAddCommGroup G
m m0 : MeasurableSpace α
μ : Measure α
inst✝¹ : NormedSpace ℝ G
hm : m ≤ m0
inst✝ : SigmaFinite (μ.trim hm)
x : G
⊢ 0 =ᵐ[μ] ↑↑0
Module: Mathlib.MeasureTheory.Function.ConditionalExpectation.CondexpL1

Goal state before:
pp: case refine_1
α : Type u_1
F' : Type u_3
inst✝³ : NormedAddCommGroup F'
inst✝² : NormedSpace ℝ F'
m m0 : MeasurableSpace α
μ : Measure α
hm : m ≤ m0
inst✝¹ : SigmaFinite (μ.trim hm)
inst✝ : CompleteSpace F'
f : ↥(Lp F' 1 μ)
c : F'
s : Set α
hs : MeasurableSet s
hμs : μ s < ∞
⊢ AEStronglyMeasurable (↑↑((condExpL1CLM F' hm μ) ↑(simpleFunc.indicatorConst 1 hs ⋯ c))) μ

Tactic:
rw [condExpL1CLM_indicatorConst hs hμs.ne c]

Goal state after:
case refine_1
α : Type u_1
F' : Type u_3
inst✝³ : NormedAddCommGroup F'
inst✝² : NormedSpace ℝ F'
m m0 : MeasurableSpace α
μ : Measure α
hm : m ≤ m0
inst✝¹ : SigmaFinite (μ.trim hm)
inst✝ : CompleteSpace F'
f : ↥(Lp F' 1 μ)
c : F'
s : Set α
hs : MeasurableSet s
hμs : μ s < ∞
⊢ AEStronglyMeasurable (↑↑((condExpInd F' hm μ s) c)) μ
Module: Mathlib.InformationTheory.KullbackLeibler.ChainRule

Goal state before:
pp: 𝓧 : Type u_1
𝓨 : Type u_2
m𝓧 : MeasurableSpace 𝓧
m𝓨 : MeasurableSpace 𝓨
μ ν : Measure 𝓧
κ η : Kernel 𝓧 𝓨
inst✝³ : IsFiniteMeasure μ
inst✝² : IsFiniteMeasure ν
inst✝¹ : IsMarkovKernel κ
inst✝ : IsMarkovKernel η
h_ac : μ ⊗ₘ κ ≪ ν ⊗ₘ η
h_ac_μν : μ ≪ ν
h_ac_κη : μ ⊗ₘ κ ≪ μ ⊗ₘ η
⊢ StronglyMeasurable fun x ↦ llr μ ν x.1

Tactic:
by fun_prop

Goal state after:
Module: Mathlib.InformationTheory.KullbackLeibler.ChainRule

Goal state before:
pp: 𝓧 : Type u_1
𝓨 : Type u_2
m𝓧 : MeasurableSpace 𝓧
m𝓨 : MeasurableSpace 𝓨
μ ν : Measure 𝓧
κ η : Kernel 𝓧 𝓨
inst✝³ : IsFiniteMeasure μ
inst✝² : IsFiniteMeasure ν
inst✝¹ : IsMarkovKernel κ
inst✝ : IsMarkovKernel η
h_ac : μ ⊗ₘ κ ≪ ν ⊗ₘ η
h_ac_μν : μ ≪ ν
h_ac_κη : μ ⊗ₘ κ ≪ μ ⊗ₘ η
⊢ AEStronglyMeasurable (llr μ ν) μ

Tactic:
by fun_prop

Goal state after:
Module: Mathlib.InformationTheory.KullbackLeibler.ChainRule

Goal state before:
pp: 𝓧 : Type u_1
𝓨 : Type u_2
m𝓧 : MeasurableSpace 𝓧
m𝓨 : MeasurableSpace 𝓨
μ ν : Measure 𝓧
κ η : Kernel 𝓧 𝓨
inst✝³ : IsFiniteMeasure μ
inst✝² : IsFiniteMeasure ν
inst✝¹ : IsMarkovKernel κ
inst✝ : IsMarkovKernel η
h_ac : μ ⊗ₘ κ ≪ ν ⊗ₘ η
h_int : Integrable (llr (μ ⊗ₘ κ) (ν ⊗ₘ η)) (μ ⊗ₘ κ)
h_ac_μν : μ ≪ ν
h_ac_κη : μ ⊗ₘ κ ≪ μ ⊗ₘ η
h_int_μν : Integrable (llr μ ν) μ
h_int_κη : Integrable (llr (μ ⊗ₘ κ) (μ ⊗ₘ η)) (μ ⊗ₘ κ)
⊢ AEStronglyMeasurable (llr μ ν) μ

Tactic:
by fun_prop

Goal state after:
Module: Mathlib.InformationTheory.KullbackLeibler.ChainRule

Goal state before:
pp: 𝓧 : Type u_1
𝓨 : Type u_2
m𝓧 : MeasurableSpace 𝓧
m𝓨 : MeasurableSpace 𝓨
μ ν : Measure 𝓧
κ η : Kernel 𝓧 𝓨
inst✝³ : IsFiniteMeasure μ
inst✝² : IsFiniteMeasure ν
inst✝¹ : IsMarkovKernel κ
inst✝ : IsMarkovKernel η
h_ac : μ ⊗ₘ κ ≪ ν ⊗ₘ η
h_int : Integrable (llr (μ ⊗ₘ κ) (ν ⊗ₘ η)) (μ ⊗ₘ κ)
h_ac_μν : μ ≪ ν
h_ac_κη : μ ⊗ₘ κ ≪ μ ⊗ₘ η
h_int_μν : Integrable (llr μ ν) μ
h_int_κη : Integrable (llr (μ ⊗ₘ κ) (μ ⊗ₘ η)) (μ ⊗ₘ κ)
⊢ StronglyMeasurable fun p ↦ log ((∂μ/∂ν) p.1).toReal

Tactic:
by fun_prop

Goal state after:
Module: Mathlib.InformationTheory.KullbackLeibler.ChainRule

Goal state before:
pp: 𝓧 : Type u_1
𝓨 : Type u_2
m𝓧 : MeasurableSpace 𝓧
m𝓨 : MeasurableSpace 𝓨
μ ν : Measure 𝓧
κ : Kernel 𝓧 𝓨
inst✝² : IsFiniteMeasure μ
inst✝¹ : IsFiniteMeasure ν
inst✝ : IsMarkovKernel κ
h_ac : μ ≪ ν
⊢ ∫⁻ (p : 𝓧 × 𝓨), ENNReal.ofReal (klFun ((∂μ ⊗ₘ κ/∂ν ⊗ₘ κ) p).toReal) ∂ν ⊗ₘ κ =
    ∫⁻ (p : 𝓧 × 𝓨), ENNReal.ofReal (klFun ((∂μ/∂ν) p.1).toReal) ∂ν ⊗ₘ κ

Tactic:
refine lintegral_congr_ae ?_

Goal state after:
𝓧 : Type u_1
𝓨 : Type u_2
m𝓧 : MeasurableSpace 𝓧
m𝓨 : MeasurableSpace 𝓨
μ ν : Measure 𝓧
κ : Kernel 𝓧 𝓨
inst✝² : IsFiniteMeasure μ
inst✝¹ : IsFiniteMeasure ν
inst✝ : IsMarkovKernel κ
h_ac : μ ≪ ν
⊢ (fun p ↦ ENNReal.ofReal (klFun ((∂μ ⊗ₘ κ/∂ν ⊗ₘ κ) p).toReal)) =ᵐ[ν ⊗ₘ κ] fun p ↦
    ENNReal.ofReal (klFun ((∂μ/∂ν) p.1).toReal)
Module: Mathlib.InformationTheory.KullbackLeibler.ChainRule

Goal state before:
pp: 𝓧 : Type u_1
𝓨 : Type u_2
m𝓧 : MeasurableSpace 𝓧
m𝓨 : MeasurableSpace 𝓨
μ ν : Measure 𝓧
κ : Kernel 𝓧 𝓨
inst✝² : IsFiniteMeasure μ
inst✝¹ : IsFiniteMeasure ν
inst✝ : IsMarkovKernel κ
h_ac : μ ≪ ν
⊢ Measurable fun p ↦ ENNReal.ofReal (klFun ((∂μ/∂ν) p.1).toReal)

Tactic:
by fun_prop

Goal state after:
Module: Mathlib.MeasureTheory.Function.ConditionalExpectation.Indicator

Goal state before:
pp: α : Type u_1
E : Type u_2
m m0 : MeasurableSpace α
inst✝² : NormedAddCommGroup E
inst✝¹ : NormedSpace ℝ E
inst✝ : CompleteSpace E
μ : Measure α
f : α → E
s : Set α
hf_int : Integrable f μ
hs : MeasurableSet s
hm : m ≤ m0
hμm this✝ : SigmaFinite (μ.trim hm)
this : s.indicator μ[f | m] =ᵐ[μ] s.indicator μ[s.indicator f + sᶜ.indicator f | m]
⊢ s.indicator μ[s.indicator f | m] + 0 =ᵐ[μ] s.indicator μ[s.indicator f | m]

Tactic:
add_zero

Goal state after:
α : Type u_1
E : Type u_2
m m0 : MeasurableSpace α
inst✝² : NormedAddCommGroup E
inst✝¹ : NormedSpace ℝ E
inst✝ : CompleteSpace E
μ : Measure α
f : α → E
s : Set α
hf_int : Integrable f μ
hs : MeasurableSet s
hm : m ≤ m0
hμm this✝ : SigmaFinite (μ.trim hm)
this : s.indicator μ[f | m] =ᵐ[μ] s.indicator μ[s.indicator f + sᶜ.indicator f | m]
⊢ s.indicator μ[s.indicator f | m] =ᵐ[μ] s.indicator μ[s.indicator f | m]
Module: Mathlib.MeasureTheory.Function.ConditionalExpectation.CondexpL1

Goal state before:
pp: α : Type u_1
F' : Type u_3
inst✝³ : NormedAddCommGroup F'
inst✝² : NormedSpace ℝ F'
m m0 : MeasurableSpace α
μ : Measure α
hm : m ≤ m0
inst✝¹ : SigmaFinite (μ.trim hm)
f : α → F'
s : Set α
inst✝ : CompleteSpace F'
hf : Integrable f μ
hs : MeasurableSet s
⊢ ∫ (x : α) in s, ↑↑(condExpL1 hm μ f) x ∂μ = ∫ (x : α) in s, f x ∂μ

Tactic:
simp_rw [condExpL1_eq hf]
  rw [setIntegral_condExpL1CLM (hf.toL1 f) hs]
  exact setIntegral_congr_ae (hm s hs) (hf.coeFn_toL1.mono fun x hx _ => hx)

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

Goal state before:
pp: Ω : Type u_1
mΩ₀ mΩ : MeasurableSpace Ω
P : Measure Ω
f : Ω → ℝ≥0∞
hf : ∫⁻ (x : Ω), f x ∂P ≠ ∞
hm : mΩ ≤ mΩ₀
hσ : SigmaFinite (P.trim hm)
⊢ AEMeasurable P⁻[f | mΩ] P

Tactic:
by fun_prop

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

Goal state before:
pp: Ω : Type u_1
mΩ₀ mΩ : MeasurableSpace Ω
Y : Ω → ℝ≥0∞
hm : mΩ ≤ mΩ₀
P : Measure Ω
hσ : SigmaFinite (P.trim hm)
X : Ω → ℝ≥0∞
hY : AEMeasurable Y (P.trim hm)
hXY : ∀ (s : Set Ω), MeasurableSet s → ∫⁻ (ω : Ω) in s, Y ω ∂P = ∫⁻ (ω : Ω) in s, X ω ∂P
⊢ AEMeasurable P⁻[X | mΩ] (P.trim hm)

Tactic:
by fun_prop

Goal state after:
Module: Mathlib.MeasureTheory.Function.ConditionalExpectation.LebesgueBochner

Goal state before:
pp: 𝓧 : Type u_1
m m𝓧 : MeasurableSpace 𝓧
μ : Measure 𝓧
f : 𝓧 → ℝ≥0∞
hf_meas : AEMeasurable f μ
hf : ∫⁻ (x : 𝓧), f x ∂μ ≠ ∞
hm : m ≤ m𝓧
hμ : SigmaFinite (μ.trim hm)
⊢ AEMeasurable f μ

Tactic:
by fun_prop

Goal state after:
Module: Mathlib.MeasureTheory.Function.ConditionalExpectation.CondJensen

Goal state before:
pp: E : Type u_1
inst✝³ : NormedAddCommGroup E
inst✝² : NormedSpace ℝ E
inst✝¹ : CompleteSpace E
α : Type u_2
f : α → E
m mα : MeasurableSpace α
μ : Measure α
s : Set E
hm : m ≤ mα
inst✝ : SigmaFinite (μ.trim hm)
hf_int : Integrable f μ
hs : IsClosed s
hc : Convex ℝ s
hf : ∀ᵐ (a : α) ∂μ, f a ∈ s
⊢ ∀ᵐ (a : α) ∂μ, μ[f | m] a ∈ s

Tactic:
apply (isCountablySpanning_spanningSets (μ.trim hm)).null_of_forall_restrict_null <;>
    rintro - ⟨n, rfl⟩
  · exact hm _ (measurableSet_spanningSets (μ.trim hm) n)
  have h1 := condExp_restrict_ae_eq_restrict hm (measurableSet_spanningSets (μ.trim hm) n) hf_int
  have : IsFiniteMeasure (μ.restrict (spanningSets (μ.trim hm) n)) := isFiniteMeasure_restrict.2
    ((le_trim hm).trans_lt (measure_spanningSets_lt_top (μ.trim hm) n)).ne
  have h2 := hc.condExp_mem_of_isFiniteMeasure (μ := μ.restrict (spanningSets (μ.trim hm) n)) hm
    hf_int.restrict hs (ae_restrict_of_ae hf)
  filter_upwards [h1, h2] with a ha hb
  simp_all

Goal state after:
Module: Mathlib.MeasureTheory.Function.ConditionalExpectation.LebesgueBochner

Goal state before:
pp: 𝓧 : Type u_1
m m𝓧 : MeasurableSpace 𝓧
μ : Measure 𝓧
f : 𝓧 → ℝ≥0∞
hf_meas : AEMeasurable f μ
hf : ∫⁻ (x : 𝓧), f x ∂μ ≠ ∞
hm : m ≤ m𝓧
hμ : SigmaFinite (μ.trim hm)
s : Set 𝓧
hs : MeasurableSet s
hsμ : μ s < ∞
⊢ AEMeasurable μ⁻[f | m] μ

Tactic:
by fun_prop

Goal state after:
Module: Mathlib.MeasureTheory.Function.ConditionalExpectation.LebesgueBochner

Goal state before:
pp: 𝓧 : Type u_1
m m𝓧 : MeasurableSpace 𝓧
μ : Measure 𝓧
f : 𝓧 → ℝ≥0∞
hf_meas : AEMeasurable f μ
hf : ∫⁻ (x : 𝓧), f x ∂μ ≠ ∞
hm : m ≤ m𝓧
hμ : SigmaFinite (μ.trim hm)
s : Set 𝓧
hs : MeasurableSet s
hsμ : μ s < ∞
⊢ AEMeasurable μ⁻[f | m] (μ.restrict s)

Tactic:
by fun_prop

Goal state after:
Module: Mathlib.MeasureTheory.Function.ConditionalExpectation.LebesgueBochner

Goal state before:
pp: 𝓧 : Type u_1
m m𝓧 : MeasurableSpace 𝓧
μ : Measure 𝓧
f : 𝓧 → ℝ≥0∞
hf_meas : AEMeasurable f μ
hf : ∫⁻ (x : 𝓧), f x ∂μ ≠ ∞
hm : m ≤ m𝓧
hμ : SigmaFinite (μ.trim hm)
s : Set 𝓧
hs : MeasurableSet s
hsμ : μ s < ∞
⊢ AEMeasurable f (μ.restrict s)

Tactic:
by fun_prop

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

Goal state before:
pp: Ω : Type u_1
mΩ₀ mΩ : MeasurableSpace Ω
P : Measure Ω
X Y : Ω → ℝ≥0∞
hXY : X ≤ᵐ[P] Y
hm : mΩ ≤ mΩ₀
hσ : SigmaFinite (P.trim hm)
⊢ Measurable P⁻[X | mΩ]

Tactic:
by fun_prop

Goal state after:
Module: Mathlib.MeasureTheory.Function.ConditionalExpectation.LebesgueBochner

Goal state before:
pp: 𝓧 : Type u_1
m m𝓧 : MeasurableSpace 𝓧
μ : Measure 𝓧
f : 𝓧 → ℝ≥0∞
hf_meas : AEMeasurable f μ
hf : ∫⁻ (x : 𝓧), f x ∂μ ≠ ∞
hm : m ≤ m𝓧
hμ : SigmaFinite (μ.trim hm)
⊢ StronglyMeasurable fun x ↦ (μ⁻[f | m] x).toReal

Tactic:
by fun_prop

Goal state after:
Module: Mathlib.MeasureTheory.Function.ConditionalExpectation.RadonNikodym

Goal state before:
pp: 𝓧 : Type u_1
𝓨 : Type u_2
m𝓧 : MeasurableSpace 𝓧
m𝓨 : MeasurableSpace 𝓨
μ ν : Measure 𝓧
inst✝ : IsFiniteMeasure μ
hμν : μ ≪ ν
g : 𝓧 → 𝓨
hg : Measurable g
hσ : SigmaFinite (Measure.map g ν)
this✝ : SigmaFinite (ν.trim ⋯)
this : SigmaFinite ν
⊢ Integrable (fun a ↦ (μ.rnDeriv ν a).toReal) ν

Tactic:
by fun_prop

Goal state after:
Module: Mathlib.MeasureTheory.Function.ConditionalExpectation.RadonNikodym

Goal state before:
pp: 𝓧 : Type u_1
𝓨 : Type u_2
m𝓧 : MeasurableSpace 𝓧
m𝓨 : MeasurableSpace 𝓨
μ ν : Measure 𝓧
inst✝ : IsFiniteMeasure μ
hμν : μ ≪ ν
g : 𝓧 → 𝓨
hg : Measurable g
hσ : SigmaFinite (Measure.map g ν)
this✝ : SigmaFinite (ν.trim ⋯)
this : SigmaFinite ν
t : Set 𝓨
ht : MeasurableSet t
a✝ : ν (g ⁻¹' t) < ∞
⊢ Measurable fun y ↦ ((Measure.map g μ).rnDeriv (Measure.map g ν) y).toReal

Tactic:
by fun_prop

Goal state after:
Module: Mathlib.MeasureTheory.Function.ConditionalExpectation.LebesgueBochner

Goal state before:
pp: 𝓧 : Type u_1
m m𝓧 : MeasurableSpace 𝓧
μ : Measure 𝓧
f : 𝓧 → ℝ
hf : Integrable f μ
h'f : 0 ≤ᵐ[μ] f
hm : m ≤ m𝓧
hμ : SigmaFinite (μ.trim hm)
A : μ[fun x ↦ (ENNReal.ofReal (f x)).toReal | m] =ᵐ[μ] μ[f | m]
B : 0 ≤ᵐ[μ] μ[f | m]
g : 𝓧 → ℝ≥0∞ := fun x ↦ ENNReal.ofReal (f x)
I : ∫⁻ (x : 𝓧), g x ∂μ ≠ ∞
⊢ Measurable μ⁻[g | m]

Tactic:
by fun_prop

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

Goal state before:
pp: Ω : Type u_1
mΩ₀ mΩ : MeasurableSpace Ω
P : Measure Ω
X Y : Ω → ℝ≥0∞
hm : mΩ ≤ mΩ₀
hσ : SigmaFinite (P.trim hm)
⊢ Measurable (P⁻[X | mΩ] + P⁻[Y | mΩ])

Tactic:
by fun_prop

Goal state after:
Module: Mathlib.MeasureTheory.Function.ConditionalExpectation.LebesgueBochner

Goal state before:
pp: 𝓧 : Type u_1
m m𝓧 : MeasurableSpace 𝓧
μ : Measure 𝓧
f : 𝓧 → ℝ
hf : Integrable f μ
h'f : 0 ≤ᵐ[μ] f
hm : m ≤ m𝓧
hμ : SigmaFinite (μ.trim hm)
A : μ[fun x ↦ (ENNReal.ofReal (f x)).toReal | m] =ᵐ[μ] μ[f | m]
B : 0 ≤ᵐ[μ] μ[f | m]
g : 𝓧 → ℝ≥0∞ := fun x ↦ ENNReal.ofReal (f x)
I : ∫⁻ (x : 𝓧), g x ∂μ ≠ ∞
J : ∀ᵐ (x : 𝓧) ∂μ, μ⁻[g | m] x < ∞
⊢ AEMeasurable g μ

Tactic:
by fun_prop

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

Goal state before:
pp: Ω : Type u_1
mΩ₀ mΩ : MeasurableSpace Ω
P : Measure Ω
X Y : Ω → ℝ≥0∞
hm : mΩ ≤ mΩ₀
hσ : SigmaFinite (P.trim hm)
s : Set Ω
hs : MeasurableSet s
a✝ : (P.trim hm) s < ∞
⊢ Measurable P⁻[X | mΩ]

Tactic:
by fun_prop

Goal state after:
Module: Mathlib.MeasureTheory.Function.ConditionalExpectation.RadonNikodym

Goal state before:
pp: 𝓧 : Type u_1
𝓨 : Type u_2
m𝓧 : MeasurableSpace 𝓧
m𝓨 : MeasurableSpace 𝓨
μ ν : Measure 𝓧
inst✝ : IsFiniteMeasure μ
hμν : μ ≪ ν
g : 𝓧 → 𝓨
hg : Measurable g
hσ : SigmaFinite (Measure.map g ν)
this : SigmaFinite ν
h_ne_top1 : ∀ᵐ (x : 𝓧) ∂ν, (Measure.map g μ).rnDeriv (Measure.map g ν) (g x) ≠ ∞
h_ne_top2 : ∀ᵐ (x : 𝓧) ∂ν, ν⁻[μ.rnDeriv ν | MeasurableSpace.comap g m𝓨] x ≠ ∞
⊢ AEMeasurable (μ.rnDeriv ν) ν

Tactic:
by fun_prop

Goal state after:
Module: Mathlib.MeasureTheory.Function.ConditionalExpectation.RadonNikodym

Goal state before:
pp: 𝓧 : Type u_1
𝓨 : Type u_2
m𝓧 : MeasurableSpace 𝓧
m𝓨 : MeasurableSpace 𝓨
μ ν : Measure 𝓧
inst✝¹ : IsFiniteMeasure μ
hμν : μ ≪ ν
g : 𝓧 → 𝓨
hg : Measurable g
inst✝ : SigmaFinite (Measure.map g ν)
s : Set ℝ≥0∞
hs : MeasurableSet s
⊢ Measurable ((Measure.map g μ).rnDeriv (Measure.map g ν))

Tactic:
by fun_prop

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

Goal state before:
pp: Ω : Type u_1
mΩ₀ mΩ : MeasurableSpace Ω
P : Measure Ω
X Y : Ω → ℝ≥0∞
hX : AEMeasurable X P
hm : mΩ ≤ mΩ₀
hσ : SigmaFinite (P.trim hm)
⊢ Measurable (P⁻[X | mΩ] + P⁻[Y | mΩ])

Tactic:
by fun_prop

Goal state after:
Module: Mathlib.MeasureTheory.Function.ConditionalExpectation.RadonNikodym

Goal state before:
pp: 𝓧 : Type u_1
𝓨 : Type u_2
m𝓧 : MeasurableSpace 𝓧
m𝓨 : MeasurableSpace 𝓨
μ ν : Measure 𝓧
inst✝¹ : IsFiniteMeasure μ
hμν : μ ≪ ν
g : 𝓧 → 𝓨
hg : Measurable g
inst✝ : SigmaFinite (Measure.map g ν)
s : Set ℝ
hs : MeasurableSet s
⊢ Measurable fun a ↦ ((Measure.map g μ).rnDeriv (Measure.map g ν) a).toReal

Tactic:
by fun_prop

Goal state after:
Module: Mathlib.InformationTheory.KullbackLeibler.DataProcessing

Goal state before:
pp: 𝓧 : Type u_1
𝓨 : Type u_2
m𝓧 : MeasurableSpace 𝓧
m𝓨 : MeasurableSpace 𝓨
μ ν : Measure 𝓧
inst✝¹ : IsFiniteMeasure μ
inst✝ : IsFiniteMeasure ν
f : ℝ → ℝ
g : 𝓧 → 𝓨
hμν : μ ≪ ν
hg : Measurable g
hf : StronglyMeasurable f
hf_cvx : ConvexOn ℝ (Ici 0) f
hf_cont_at : ContinuousWithinAt f (Ici 0) 0
h_int : Integrable (fun x ↦ f ((∂μ/∂ν) x).toReal) ν
hf_cont : ContinuousOn f (Ici 0)
c c' : ℝ
h : ∀ (x : ℝ), 0 ≤ x → c * x + c' ≤ f x
⊢ StronglyMeasurable fun x ↦ f ((∂Measure.map g μ/∂Measure.map g ν) x).toReal

Tactic:
by fun_prop

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

Goal state before:
pp: Ω : Type u_1
mΩ₀ mΩ : MeasurableSpace Ω
P : Measure Ω
X Y : Ω → ℝ≥0∞
hX : AEMeasurable X P
hm : mΩ ≤ mΩ₀
hσ : SigmaFinite (P.trim hm)
s : Set Ω
hs : MeasurableSet s
⊢ AEMeasurable X (P.restrict s)

Tactic:
by fun_prop

Goal state after:
Module: Mathlib.MeasureTheory.Function.ConditionalExpectation.CondJensen

Goal state before:
pp: E : Type u_1
inst✝³ : NormedAddCommGroup E
inst✝² : NormedSpace ℝ E
inst✝¹ : CompleteSpace E
α : Type u_2
f : α → E
φ : E → ℝ
m mα : MeasurableSpace α
μ : Measure α
s : Set E
inst✝ : IsFiniteMeasure μ
hm : m ≤ mα
hφ_cvx : ConvexOn ℝ s φ
hφ_cont : LowerSemicontinuousOn φ s
hf : ∀ᵐ (a : α) ∂μ, f a ∈ s
hs : IsClosed s
hf_int : Integrable f μ
hφ_int : Integrable (φ ∘ f) μ
this✝² : MeasurableSpace E := borel E
this✝¹ : BorelSpace E
t : Set E
ht : TopologicalSpace.IsSeparable t
htt : ∀ᵐ (x : α) ∂μ, f x ∈ t
Y : Submodule ℝ E := (Submodule.span ℝ t).topologicalClosure
this✝ : CompleteSpace ↥Y
this : SecondCountableTopology ↥Y
φY : ↥Y → ℝ := φ ∘ ⇑Y.subtypeL
fY : α → ↥Y := fun a ↦ if h : f a ∈ Y then ⟨f a, h⟩ else 0
fX : α → E := ⇑Y.subtypeL ∘ fY
lem0 : ∀ᵐ (a : α) ∂μ, f a ∈ Y
lem1 : f =ᵐ[μ] fX
hfY_int : Integrable fY μ
lem2 : μ[f | m] =ᵐ[μ] ⇑Y.subtypeL ∘ μ[fY | m]
lem3 : φ ∘ f =ᵐ[μ] φY ∘ fY
⊢ ContinuousOn (⇑Y.subtypeL) (⇑Y.subtypeL ⁻¹' s)

Tactic:
by fun_prop

Goal state after:
Module: Mathlib.InformationTheory.KullbackLeibler.DataProcessing

Goal state before:
pp: 𝓧 : Type u_1
𝓨 : Type u_2
m𝓧 : MeasurableSpace 𝓧
m𝓨 : MeasurableSpace 𝓨
μ ν : Measure 𝓧
inst✝¹ : IsFiniteMeasure μ
inst✝ : IsFiniteMeasure ν
f : ℝ → ℝ
g : 𝓧 → 𝓨
hμν : μ ≪ ν
hg : Measurable g
hf : StronglyMeasurable f
hf_cvx : ConvexOn ℝ (Ici 0) f
hf_cont_at : ContinuousWithinAt f (Ici 0) 0
h_int : Integrable (fun x ↦ f ((∂μ/∂ν) x).toReal) ν
hf_cont : ContinuousOn f (Ici 0)
c c' : ℝ
h : ∀ (x : ℝ), 0 ≤ x → c * x + c' ≤ f x
⊢ StronglyMeasurable fun x ↦ f ((∂Measure.map g μ/∂Measure.map g ν) (g x)).toReal

Tactic:
by fun_prop

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

Goal state before:
pp: Ω : Type u_1
mΩ₀ mΩ : MeasurableSpace Ω
P : Measure Ω
X : Ω → ℝ≥0∞
hX : AEMeasurable X P
c : ℝ≥0∞
hm : mΩ ≤ mΩ₀
hσ : SigmaFinite (P.trim hm)
⊢ Measurable (c • P⁻[X | mΩ])

Tactic:
by fun_prop

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

Goal state before:
pp: Ω : Type u_1
mΩ₀ mΩ : MeasurableSpace Ω
P : Measure Ω
X : Ω → ℝ≥0∞
c : ℝ≥0∞
hm : mΩ ≤ mΩ₀
hσ : SigmaFinite (P.trim hm)
⊢ Measurable (c • P⁻[X | mΩ])

Tactic:
by fun_prop

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

Goal state before:
pp: Ω : Type u_1
mΩ₀ mΩ : MeasurableSpace Ω
P : Measure Ω
X : Ω → ℝ≥0∞
c : ℝ≥0∞
hc : c ≠ ∞
hm : mΩ ≤ mΩ₀
hσ : SigmaFinite (P.trim hm)
⊢ Measurable (c • P⁻[X | mΩ])

Tactic:
by fun_prop

Goal state after:
Module: Mathlib.InformationTheory.KullbackLeibler.DataProcessing

Goal state before:
pp: 𝓧 : Type u_1
m m𝓧 : MeasurableSpace 𝓧
μ ν : Measure 𝓧
inst✝¹ : IsFiniteMeasure μ
inst✝ : IsFiniteMeasure ν
f : ℝ → ℝ
hm : m ≤ m𝓧
hμν : μ ≪ ν
hf : StronglyMeasurable f
hf_cvx : ConvexOn ℝ (Ici 0) f
hf_cont_at : ContinuousWithinAt f (Ici 0) 0
h_int : Integrable (fun x ↦ f ((∂μ/∂ν) x).toReal) ν
hf_cont : ContinuousOn f (Ici 0)
c c' : ℝ
h : ∀ (x : ℝ), 0 ≤ x → c * x + c' ≤ f x
⊢ StronglyMeasurable fun x ↦ f ((∂μ.trim hm/∂ν.trim hm) x).toReal

Tactic:
by fun_prop

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

Goal state before:
pp: Ω : Type u_1
mΩ₀ : MeasurableSpace Ω
P : Measure Ω
ι : Type u_2
mΩ : MeasurableSpace Ω
inst✝ : Countable ι
X : ι → Ω → ℝ≥0∞
hX : ∀ (i : ι), AEMeasurable (X i) P
hm : mΩ ≤ mΩ₀
hσ : SigmaFinite (P.trim hm)
⊢ Measurable (∑' (i : ι), P⁻[X i | mΩ])

Tactic:
by fun_prop

Goal state after:
Module: Mathlib.InformationTheory.KullbackLeibler.DataProcessing

Goal state before:
pp: 𝓧 : Type u_1
m m𝓧 : MeasurableSpace 𝓧
μ ν : Measure 𝓧
inst✝¹ : IsFiniteMeasure μ
inst✝ : IsFiniteMeasure ν
f : ℝ → ℝ
hm : m ≤ m𝓧
hμν : μ ≪ ν
hf : StronglyMeasurable f
hf_cvx : ConvexOn ℝ (Ici 0) f
hf_cont_at : ContinuousWithinAt f (Ici 0) 0
h_int : Integrable (fun x ↦ f ((∂μ/∂ν) x).toReal) ν
hf_cont : ContinuousOn f (Ici 0)
c c' : ℝ
h : ∀ (x : ℝ), 0 ≤ x → c * x + c' ≤ f x
⊢ Integrable (fun x ↦ ((∂μ.trim hm/∂ν.trim hm) x).toReal) (ν.trim hm)

Tactic:
by fun_prop

Goal state after:
Module: Mathlib.InformationTheory.KullbackLeibler.DataProcessing

Goal state before:
pp: 𝓧 : Type u_1
𝓨 : Type u_2
m𝓧 : MeasurableSpace 𝓧
m𝓨 : MeasurableSpace 𝓨
μ ν : Measure 𝓧
inst✝¹ : IsFiniteMeasure μ
inst✝ : IsFiniteMeasure ν
g : 𝓧 → 𝓨
hμν : μ ≪ ν
hg : Measurable g
h_int : Integrable (llr μ ν) μ
⊢ StronglyMeasurable klFun

Tactic:
by fun_prop

Goal state after: