mathlib-initiative/mathlib-tactics huggingface dataset:
Module: Mathlib.InformationTheory.KullbackLeibler.Basic

Goal state before:
pp: case neg.h_int
α : Type u_1
mα : MeasurableSpace α
μ ν : Measure α
inst✝¹ : IsFiniteMeasure μ
inst✝ : IsFiniteMeasure ν
hμν : μ ≪ ν
h_int : Integrable (llr μ ν) μ
c : ℝ≥0
hc : ¬c = 0
h_llr_left : llr (c⁻¹ • μ) ν =ᵐ[μ] fun x ↦ llr μ ν x + log ↑c⁻¹
h_llr_right : llr μ (c • ν) =ᵐ[μ] fun x ↦ llr μ ν x - log ↑c
⊢ Integrable (fun x ↦ llr μ ν x - log ↑c) μ

Tactic:
fun_prop

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

Goal state before:
pp: case neg.h_int
α : Type u_1
mα : MeasurableSpace α
μ ν : Measure α
inst✝¹ : IsFiniteMeasure μ
inst✝ : IsFiniteMeasure ν
hμν : μ ≪ ν
h_int : Integrable (llr μ ν) μ
c : ℝ≥0
hc : ¬c = 0
⊢ Integrable (fun x ↦ llr μ ν x + log ↑c) μ

Tactic:
fun_prop

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

Goal state before:
pp: case neg
α : Type u_1
mα : MeasurableSpace α
μ ν : Measure α
inst✝¹ : IsFiniteMeasure μ
inst✝ : IsFiniteMeasure ν
c : ℝ≥0
hc : c ≠ 0
hc' : ↑c ≠ 0
hμ_smul : μ = c • c⁻¹ • μ
hν_smul : ν = c⁻¹ • c • ν
hμν : μ ≪ ν
hμν_right : μ ≪ c • ν
h_int : ¬Integrable (llr μ ν) μ
h_contra : Integrable (llr (c⁻¹ • μ) ν) (c⁻¹ • μ)
⊢ Integrable (fun x ↦ llr (c⁻¹ • μ) ν x + log ↑c) (c⁻¹ • μ)

Tactic:
fun_prop

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

Goal state before:
pp: case neg
α : Type u_1
mα : MeasurableSpace α
μ ν : Measure α
inst✝¹ : IsFiniteMeasure μ
inst✝ : IsFiniteMeasure ν
c : ℝ≥0
hc : c ≠ 0
hc' : ↑c ≠ 0
hμ_smul : μ = c • c⁻¹ • μ
hν_smul : ν = c⁻¹ • c • ν
hμν : μ ≪ ν
hμν_right : μ ≪ c • ν
h_int : ¬Integrable (llr μ ν) μ
h_contra : Integrable (llr μ (c • ν)) μ
this : IsFiniteMeasure (↑c • ν)
h : llr μ (c⁻¹ • c • ν) =ᵐ[μ] fun x ↦ llr μ (c • ν) x + log ↑c
⊢ Integrable (fun x ↦ llr μ (c • ν) x + log ↑c) μ

Tactic:
fun_prop

Goal state after:
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
c : ℝ≥0
hc : c ≠ 0
hc' : ↑c ≠ 0
hμ_smul : μ = c • c⁻¹ • μ
hν_smul : ν = c⁻¹ • c • ν
hμν : μ ≪ ν
hμν_right : μ ≪ c • ν
h_int : Integrable (llr μ ν) μ
⊢ Integrable (fun x ↦ llr μ ν x + log ↑c⁻¹) μ

Tactic:
fun_prop

Goal state after:
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
c : ℝ≥0
hc : c ≠ 0
hc' : ↑c ≠ 0
hμ_smul : μ = c • c⁻¹ • μ
hν_smul : ν = c⁻¹ • c • ν
hμν : μ ≪ ν
hμν_right : μ ≪ c • ν
h_int : Integrable (llr μ ν) μ
h_int_left : Integrable (llr (c⁻¹ • μ) ν) (c⁻¹ • μ)
⊢ Integrable (fun x ↦ llr μ ν x - log ↑c) μ

Tactic:
fun_prop

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

Goal state before:
pp: case refine_1
α : Type u_1
m m0 : MeasurableSpace α
μ : Measure α
s : Set α
hm : m ≤ m0
f g : α → ℝ
hf : StronglyMeasurable f
hfi : IntegrableOn f s μ
hg : StronglyMeasurable g
hgi : IntegrableOn g s μ
hgf : ∀ (t : Set α), MeasurableSet t → μ t < ∞ → ∫ (x : α) in t, g x ∂μ = ∫ (x : α) in t, f x ∂μ
hs : MeasurableSet s
hμs : μ s ≠ ∞
h_meas_nonneg_g : MeasurableSet {x | 0 ≤ g x}
h_meas_nonneg_f : MeasurableSet {x | 0 ≤ f x}
h_meas_nonpos_g : MeasurableSet {x | g x ≤ 0}
h_meas_nonpos_f : MeasurableSet {x | f x ≤ 0}
⊢ ∫ (x : α) in {x | 0 ≤ g x} ∩ s, g x ∂μ ≤ ∫ (x : α) in {x | 0 ≤ f x}, f x ∂μ.restrict s

Tactic:
Measure.restrict_restrict h_meas_nonneg_f,

Goal state after:
case refine_1
α : Type u_1
m m0 : MeasurableSpace α
μ : Measure α
s : Set α
hm : m ≤ m0
f g : α → ℝ
hf : StronglyMeasurable f
hfi : IntegrableOn f s μ
hg : StronglyMeasurable g
hgi : IntegrableOn g s μ
hgf : ∀ (t : Set α), MeasurableSet t → μ t < ∞ → ∫ (x : α) in t, g x ∂μ = ∫ (x : α) in t, f x ∂μ
hs : MeasurableSet s
hμs : μ s ≠ ∞
h_meas_nonneg_g : MeasurableSet {x | 0 ≤ g x}
h_meas_nonneg_f : MeasurableSet {x | 0 ≤ f x}
h_meas_nonpos_g : MeasurableSet {x | g x ≤ 0}
h_meas_nonpos_f : MeasurableSet {x | f x ≤ 0}
⊢ ∫ (x : α) in {x | 0 ≤ g x} ∩ s, g x ∂μ ≤ ∫ (x : α) in {x | 0 ≤ f x} ∩ s, f x ∂μ
Module: Mathlib.InformationTheory.KullbackLeibler.Basic

Goal state before:
pp: case neg
α : Type u_1
mα : MeasurableSpace α
μ ν : Measure α
inst✝¹ : IsFiniteMeasure μ
inst✝ : IsFiniteMeasure ν
c : ℝ≥0
hc : ¬c = 0
hc' : ↑c ≠ 0
hμ_smul : ∀ (μ : Measure α), μ = c⁻¹ • c • μ
hμν : μ ≪ ν
h_int : ¬Integrable (llr μ ν) μ
h_contra : Integrable (llr (c • μ) (c • ν)) (c • μ)
⊢ Integrable (llr (c • μ) (c • ν)) (c • μ)

Tactic:
fun_prop

Goal state after:
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
c : ℝ≥0
hc : ¬c = 0
hc' : ↑c ≠ 0
hμ_smul : ∀ (μ : Measure α), μ = c⁻¹ • c • μ
hμν : μ ≪ ν
h_int : Integrable (llr μ ν) μ
⊢ Integrable (llr μ ν) μ

Tactic:
fun_prop

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

Goal state before:
pp: α : Type u_1
F : Type u_2
p : ℝ≥0∞
inst✝¹ : NormedAddCommGroup F
m m0 : MeasurableSpace α
μ : Measure α
one_le_p : Fact (1 ≤ p)
inst✝ : NormedSpace ℝ F
hm : m ≤ m0
f : α → F
hf : MemLp f p (μ.trim hm)
⊢ ↑↑(MemLp.toLp f hf) =ᵐ[μ] ↑↑(MemLp.toLp f ⋯)

Tactic:
ae_eq_of_ae_eq_trim (MemLp.coeFn_toLp hf),

Goal state after:
α : Type u_1
F : Type u_2
p : ℝ≥0∞
inst✝¹ : NormedAddCommGroup F
m m0 : MeasurableSpace α
μ : Measure α
one_le_p : Fact (1 ≤ p)
inst✝ : NormedSpace ℝ F
hm : m ≤ m0
f : α → F
hf : MemLp f p (μ.trim hm)
⊢ f =ᵐ[μ] ↑↑(MemLp.toLp f ⋯)
Module: Mathlib.InformationTheory.KullbackLeibler.Basic

Goal state before:
pp: case neg.refine_1
α : Type u_1
mα : MeasurableSpace α
μ ν : Measure α
inst✝¹ : IsFiniteMeasure μ
inst✝ : IsFiniteMeasure ν
hμν : μ ≪ ν
h_int : Integrable (llr μ ν) μ
hμ : ¬μ = 0
hν : ¬ν = 0
this : NeZero ν
ν' : Measure α := (ν univ)⁻¹ • ν
hμν' : μ ≪ ν'
⊢ Integrable (llr μ ν') μ

Tactic:
rw [integrable_congr (llr_smul_right hμν (ν univ)⁻¹ (by simp) (by simp [hν]))]
    exact h_int.sub (integrable_const _)

Goal state after:
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
hμν : μ ≪ ν
h_int : Integrable (llr μ ν) μ
⊢ ν.real univ * klFun (μ.real univ / ν.real univ) ≤ ∫ (x : α), klFun (μ.rnDeriv ν x).toReal ∂ν

Tactic:
refine mul_le_integral_rnDeriv_of_ac convexOn_klFun continuous_klFun.continuousWithinAt ?_ hμν

Goal state after:
α : Type u_1
mα : MeasurableSpace α
μ ν : Measure α
inst✝¹ : IsFiniteMeasure μ
inst✝ : IsFiniteMeasure ν
hμν : μ ≪ ν
h_int : Integrable (llr μ ν) μ
⊢ Integrable (fun x ↦ klFun (μ.rnDeriv ν x).toReal) ν
Module: Mathlib.MeasureTheory.Function.ConditionalExpectation.CondexpL2

Goal state before:
pp: α : Type u_1
E : Type u_2
𝕜 : Type u_7
inst✝³ : RCLike 𝕜
inst✝² : NormedAddCommGroup E
inst✝¹ : InnerProductSpace 𝕜 E
inst✝ : CompleteSpace E
m m0 : MeasurableSpace α
μ : Measure α
hm : m ≤ m0
f g : ↥(Lp E 2 μ)
hg : AEStronglyMeasurable (↑↑g) μ
⊢ ⟪f, g⟫ = ⟪↑((condExpL2 E 𝕜 hm) f), g⟫

Tactic:
rw [← sub_eq_zero, ← inner_sub_left, condExpL2]

Goal state after:
α : Type u_1
E : Type u_2
𝕜 : Type u_7
inst✝³ : RCLike 𝕜
inst✝² : NormedAddCommGroup E
inst✝¹ : InnerProductSpace 𝕜 E
inst✝ : CompleteSpace E
m m0 : MeasurableSpace α
μ : Measure α
hm : m ≤ m0
f g : ↥(Lp E 2 μ)
hg : AEStronglyMeasurable (↑↑g) μ
⊢ ⟪f - ↑((lpMeas E 𝕜 m 2 μ).orthogonalProjectionOnto f), g⟫ = 0
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
hμν : μ ≪ ν
h_int : Integrable (llr μ ν) μ
⊢ ν.real univ * klFun (μ.real univ / ν.real univ) ≤ (klDiv μ ν).toReal

Tactic:
calc ν.real univ * klFun (μ.real univ / ν.real univ)
  _ ≤ ∫ x, klFun (μ.rnDeriv ν x).toReal ∂ν := by
    refine mul_le_integral_rnDeriv_of_ac convexOn_klFun continuous_klFun.continuousWithinAt ?_ hμν
    rwa [integrable_klFun_rnDeriv_iff hμν]
  _ = (klDiv μ ν).toReal := by rw [toReal_klDiv_eq_integral_klFun hμν]

Goal state after:
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:
fun_prop

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

Goal state before:
pp: case pos
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)
c : ℝ
x : G
hs : MeasurableSet s
hμs : μ s = ∞
⊢ condExpIndL1 hm μ s (c • x) = c • condExpIndL1 hm μ s x

Tactic:
simp_rw [condExpIndL1_of_measure_eq_top hμs]; rw [smul_zero]

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

Goal state before:
pp: case pos
α : Type u_1
F : Type u_2
𝕜 : Type u_6
inst✝⁵ : RCLike 𝕜
inst✝⁴ : NormedAddCommGroup F
inst✝³ : NormedSpace 𝕜 F
m m0 : MeasurableSpace α
μ : Measure α
s : Set α
hm : m ≤ m0
inst✝² : SigmaFinite (μ.trim hm)
inst✝¹ : NormedSpace ℝ F
inst✝ : SMulCommClass ℝ 𝕜 F
c : 𝕜
x : F
hs : MeasurableSet s
hμs : μ s = ∞
⊢ condExpIndL1 hm μ s (c • x) = c • condExpIndL1 hm μ s x

Tactic:
simp_rw [condExpIndL1_of_measure_eq_top hμs]; rw [smul_zero]

Goal state after:
Module: Mathlib.MeasureTheory.Function.ConditionalExpectation.CondexpL2

Goal state before:
pp: α : Type u_1
m m0 : MeasurableSpace α
μ : Measure α
s : Set α
hm : m ≤ m0
hs : MeasurableSet s
hμs : μ s ≠ ∞
f : ↥(Lp ℝ 2 μ)
hf : ↑↑f =ᵐ[μ.restrict s] 0
h_nnnorm_eq_zero : ∫⁻ (x : α) in s, ↑‖↑↑↑((condExpL2 ℝ ℝ hm) f) x‖₊ ∂μ = 0
⊢ Measurable fun x ↦ ↑‖↑↑↑((condExpL2 ℝ ℝ hm) f) x‖₊

Tactic:
refine Measurable.coe_nnreal_ennreal (Measurable.nnnorm ?_)
      exact (Lp.stronglyMeasurable _).measurable

Goal state after:
Module: Mathlib.MeasureTheory.Function.ConditionalExpectation.CondexpL2

Goal state before:
pp: α : Type u_1
E : Type u_2
𝕜 : Type u_7
inst✝³ : RCLike 𝕜
inst✝² : NormedAddCommGroup E
inst✝¹ : InnerProductSpace 𝕜 E
inst✝ : CompleteSpace E
m m0 : MeasurableSpace α
μ : Measure α
hm : m ≤ m0
f : ↥(Lp E 2 μ)
c : E
h_mem_Lp : MemLp (fun a ↦ ⟪c, ↑↑↑((condExpL2 E 𝕜 hm) f) a⟫) 2 μ
h_eq : ↑↑(MemLp.toLp (fun a ↦ ⟪c, ↑↑↑((condExpL2 E 𝕜 hm) f) a⟫) h_mem_Lp) =ᵐ[μ] fun a ↦ ⟪c, ↑↑↑((condExpL2 E 𝕜 hm) f) a⟫
⊢ ↑↑↑((condExpL2 𝕜 𝕜 hm) (MemLp.toLp (fun a ↦ ⟪c, ↑↑f a⟫) ⋯)) =ᵐ[μ] fun a ↦ ⟪c, ↑↑↑((condExpL2 E 𝕜 hm) f) a⟫

Tactic:
refine EventuallyEq.trans ?_ h_eq

Goal state after:
α : Type u_1
E : Type u_2
𝕜 : Type u_7
inst✝³ : RCLike 𝕜
inst✝² : NormedAddCommGroup E
inst✝¹ : InnerProductSpace 𝕜 E
inst✝ : CompleteSpace E
m m0 : MeasurableSpace α
μ : Measure α
hm : m ≤ m0
f : ↥(Lp E 2 μ)
c : E
h_mem_Lp : MemLp (fun a ↦ ⟪c, ↑↑↑((condExpL2 E 𝕜 hm) f) a⟫) 2 μ
h_eq : ↑↑(MemLp.toLp (fun a ↦ ⟪c, ↑↑↑((condExpL2 E 𝕜 hm) f) a⟫) h_mem_Lp) =ᵐ[μ] fun a ↦ ⟪c, ↑↑↑((condExpL2 E 𝕜 hm) f) a⟫
⊢ ↑↑↑((condExpL2 𝕜 𝕜 hm) (MemLp.toLp (fun a ↦ ⟪c, ↑↑f a⟫) ⋯)) =ᵐ[μ]
    ↑↑(MemLp.toLp (fun a ↦ ⟪c, ↑↑↑((condExpL2 E 𝕜 hm) f) a⟫) h_mem_Lp)
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:
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:
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:
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:
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
⊢ Measurable fun p ↦ ENNReal.ofReal (klFun ((∂μ/∂ν) p.1).toReal)

Tactic:
fun_prop

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

Goal state before:
pp: case neg.inr
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 : ¬μ ⊗ₘ κ ≪ μ ⊗ₘ η
⊢ ∞ = klDiv μ ν + klDiv (μ ⊗ₘ κ) (μ ⊗ₘ η)

Tactic:
| inr h =>

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

Goal state before:
pp: case neg.inr
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 : ¬Integrable (llr (μ ⊗ₘ κ) (μ ⊗ₘ η)) (μ ⊗ₘ κ)
⊢ ∞ = klDiv μ ν + klDiv (μ ⊗ₘ κ) (μ ⊗ₘ η)

Tactic:
| inr h =>

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

Goal state before:
pp: case neg
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✝¹ : SigmaFinite (μ.trim hm)
this✝ : s.indicator μ[f | m] =ᵐ[μ] s.indicator μ[s.indicator f + sᶜ.indicator f | m]
this : sᶜ.indicator μ[sᶜ.indicator f | m] =ᵐ[μ] μ[sᶜ.indicator f | m]
x : α
hx : sᶜ.indicator μ[sᶜ.indicator f | m] x = μ[sᶜ.indicator f | m] x
hxs : x ∉ s
⊢ s.indicator μ[sᶜ.indicator f | m] x = s.indicator (sᶜ.indicator μ[sᶜ.indicator f | m]) x

Tactic:
simp only [hxs, Set.indicator_of_notMem, not_false_iff]

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
inst✝ : IsFiniteMeasure μ
hm : m ≤ mα
hf_int : Integrable f μ
hs : IsClosed s
hc : Convex ℝ s
hf : ∀ᵐ (a : α) ∂μ, f a ∈ s
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
fY : α → ↥Y := fun a ↦ if h : f a ∈ Y then ⟨f a, h⟩ else 0
⊢ ∀ᵐ (a : α) ∂μ, μ[f | m] a ∈ s

Tactic:
let fX : α → E := Y.subtypeL ∘ fY

Goal state after:
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
inst✝ : IsFiniteMeasure μ
hm : m ≤ mα
hf_int : Integrable f μ
hs : IsClosed s
hc : Convex ℝ s
hf : ∀ᵐ (a : α) ∂μ, f a ∈ s
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
fY : α → ↥Y := fun a ↦ if h : f a ∈ Y then ⟨f a, h⟩ else 0
fX : α → E := ⇑Y.subtypeL ∘ fY
⊢ ∀ᵐ (a : α) ∂μ, μ[f | m] a ∈ s
Module: Mathlib.MeasureTheory.Function.ConditionalExpectation.Indicator

Goal state before:
pp: α : Type u_1
E : Type u_2
m m0 : MeasurableSpace α
inst✝³ : NormedAddCommGroup E
inst✝² : NormedSpace ℝ E
inst✝¹ : CompleteSpace E
μ : Measure α
f : α → E
s : Set α
hm : m ≤ m0
inst✝ : SigmaFinite (μ.trim hm)
hs_m : MeasurableSet s
hf_int : Integrable f μ
⊢ (μ.restrict s)[f | m] =ᵐ[μ.restrict s] μ[f | m]

Tactic:
by
  have : SigmaFinite ((μ.restrict s).trim hm) := by rw [← restrict_trim hm _ hs_m]; infer_instance
  rw [ae_eq_restrict_iff_indicator_ae_eq (hm _ hs_m)]
  refine EventuallyEq.trans ?_ (condExp_indicator hf_int hs_m)
  refine ae_eq_condExp_of_forall_setIntegral_eq hm (hf_int.indicator (hm _ hs_m)) ?_ ?_ ?_
  · intro t ht _
    rw [← integrable_indicator_iff (hm _ ht), Set.indicator_indicator, Set.inter_comm, ←
      Set.indicator_indicator]
    suffices h_int_restrict : Integrable (t.indicator ((μ.restrict s)[f | m])) (μ.restrict s) by
      rw [integrable_indicator_iff (hm _ hs_m), IntegrableOn]
      exact h_int_restrict
    exact integrable_condExp.indicator (hm _ ht)
  · intro t ht _
    calc
      ∫ x in t, s.indicator ((μ.restrict s)[f | m]) x ∂μ =
          ∫ x in t, ((μ.restrict s)[f | m]) x ∂μ.restrict s := by
        rw [integral_indicator (hm _ hs_m), Measure.restrict_restrict (hm _ hs_m),
          Measure.restrict_restrict (hm _ ht), Set.inter_comm]
      _ = ∫ x in t, f x ∂μ.restrict s := setIntegral_condExp hm hf_int.integrableOn ht
      _ = ∫ x in t, s.indicator f x ∂μ := by
        rw [integral_indicator (hm _ hs_m), Measure.restrict_restrict (hm _ hs_m),
          Measure.restrict_restrict (hm _ ht), Set.inter_comm]
  · exact (stronglyMeasurable_condExp.indicator hs_m).aestronglyMeasurable

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:
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:
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:
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

Tactic:
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:
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:
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:
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:
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
⊢ φ ∘ μ[f | m] ≤ᵐ[μ] μ[φ ∘ f | m]

Tactic:
let fX : α → E := Y.subtypeL ∘ fY

Goal state after:
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
⊢ φ ∘ μ[f | m] ≤ᵐ[μ] μ[φ ∘ f | m]
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:
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:
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:
fun_prop

Goal state after: