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/-
Copyright (c) 2023 Rémy Degenne. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Rémy Degenne
-/
module
public import Mathlib.Probability.Independence.Kernel.Indep
public import Mathlib.MeasureTheory.MeasurableSpace.Pi
public import Mathlib.Probability.ConditionalProbability
public import Mathlib.Probability.Kernel.Composition.MeasureComp
/-!
# Independence of random variables with respect to a kernel and a measure
A family of random variables is independent if the corresponding `σ`-algebras are independent.
Independence of families of sets and `σ`-algebras is covered in the `Indep` file.
This file deals with independence of random variables specifically.
Note that we define independence with respect to a kernel and a measure. This notion of independence
is a generalization of both independence and conditional independence.
For conditional independence, `κ` is the conditional kernel `ProbabilityTheory.condExpKernel` and
`μ` is the ambient measure. For (non-conditional) independence, `κ = Kernel.const Unit μ` and the
measure is the Dirac measure on `Unit`.
## Main definition
* `ProbabilityTheory.Kernel.iIndepFun`: independence of a family of functions (random variables).
Variant for two functions: `ProbabilityTheory.Kernel.IndepFun`.
-/
@[expose] public section
open Set MeasureTheory MeasurableSpace
namespace ProbabilityTheory.Kernel
variable {α Ω ι β β' γ γ' : Type*} {mα : MeasurableSpace α} {mΩ : MeasurableSpace Ω}
{κ η : Kernel α Ω} {μ : Measure α} {f : Ω → β} {g : Ω → β'}
section Definitions
/-- A family of functions defined on the same space `Ω` and taking values in possibly different
spaces, each with a measurable space structure, is independent if the family of measurable space
structures they generate on `Ω` is independent. For a function `g` with codomain having measurable
space structure `m`, the generated measurable space structure is `MeasurableSpace.comap g m`. -/
def iIndepFun {β : ι → Type*} [m : ∀ x : ι, MeasurableSpace (β x)]
(f : ∀ x : ι, Ω → β x) (κ : Kernel α Ω)
(μ : Measure α := by volume_tac) : Prop :=
iIndep (m := fun x ↦ MeasurableSpace.comap (f x) (m x)) κ μ
/-- Two functions are independent if the two measurable space structures they generate are
independent. For a function `f` with codomain having measurable space structure `m`, the generated
measurable space structure is `MeasurableSpace.comap f m`. -/
def IndepFun [mβ : MeasurableSpace β] [mγ : MeasurableSpace γ]
(f : Ω → β) (g : Ω → γ) (κ : Kernel α Ω)
(μ : Measure α := by volume_tac) : Prop :=
Indep (MeasurableSpace.comap f mβ) (MeasurableSpace.comap g mγ) κ μ
end Definitions
section ByDefinition
variable {β : ι → Type*} {mβ : ∀ i, MeasurableSpace (β i)}
{_mα : MeasurableSpace α} {m : ι → MeasurableSpace Ω} {_mΩ : MeasurableSpace Ω}
{κ η : Kernel α Ω} {μ : Measure α}
{π : ι → Set (Set Ω)} {s : ι → Set Ω} {S : Finset ι} {f : ∀ x : ι, Ω → β x}
{s1 s2 : Set (Set Ω)} {ι' : Type*} {g : ι' → ι}
@[simp] lemma iIndepFun_zero_right {β : ι → Type*} {m : ∀ x : ι, MeasurableSpace (β x)}
{f : ∀ x : ι, Ω → β x} : iIndepFun f κ 0 := by simp [iIndepFun]
@[simp] lemma indepFun_zero_right {β} [MeasurableSpace β] [MeasurableSpace γ]
{f : Ω → β} {g : Ω → γ} : IndepFun f g κ 0 := by simp [IndepFun]
@[simp] lemma indepFun_zero_left {β} [MeasurableSpace β] [MeasurableSpace γ]
{f : Ω → β} {g : Ω → γ} : IndepFun f g (0 : Kernel α Ω) μ := by simp [IndepFun]
lemma iIndepFun_congr {β : ι → Type*} {m : ∀ x : ι, MeasurableSpace (β x)}
{f : ∀ x : ι, Ω → β x} (h : κ =ᵐ[μ] η) : iIndepFun f κ μ ↔ iIndepFun f η μ :=
iIndep_congr h
alias ⟨iIndepFun.congr, _⟩ := iIndepFun_congr
lemma indepFun_congr {β} [MeasurableSpace β] [MeasurableSpace γ]
{f : Ω → β} {g : Ω → γ} (h : κ =ᵐ[μ] η) : IndepFun f g κ μ ↔ IndepFun f g η μ :=
indep_congr h
alias ⟨IndepFun.congr, _⟩ := indepFun_congr
@[nontriviality, simp]
lemma iIndepFun.of_subsingleton [Subsingleton ι] {β : ι → Type*} {m : ∀ i, MeasurableSpace (β i)}
{f : ∀ i, Ω → β i} [IsMarkovKernel κ] : iIndepFun f κ μ := by
simp [iIndepFun]
protected lemma iIndepFun.iIndep (hf : iIndepFun f κ μ) :
iIndep (fun x ↦ (mβ x).comap (f x)) κ μ := hf
lemma iIndepFun.ae_isProbabilityMeasure (h : iIndepFun f κ μ) :
∀ᵐ a ∂μ, IsProbabilityMeasure (κ a) :=
h.iIndep.ae_isProbabilityMeasure
lemma iIndepFun.meas_biInter (hf : iIndepFun f κ μ)
(hs : ∀ i, i ∈ S → MeasurableSet[(mβ i).comap (f i)] (s i)) :
∀ᵐ a ∂μ, κ a (⋂ i ∈ S, s i) = ∏ i ∈ S, κ a (s i) := hf.iIndep.meas_biInter hs
lemma iIndepFun.meas_iInter [Fintype ι] (hf : iIndepFun f κ μ)
(hs : ∀ i, MeasurableSet[(mβ i).comap (f i)] (s i)) :
∀ᵐ a ∂μ, κ a (⋂ i, s i) = ∏ i, κ a (s i) := hf.iIndep.meas_iInter hs
lemma IndepFun.meas_inter {β} [mβ : MeasurableSpace β] [mγ : MeasurableSpace γ]
{f : Ω → β} {g : Ω → γ} (hfg : IndepFun f g κ μ)
{s t : Set Ω} (hs : MeasurableSet[mβ.comap f] s) (ht : MeasurableSet[mγ.comap g] t) :
∀ᵐ a ∂μ, κ a (s ∩ t) = κ a s * κ a t := hfg _ _ hs ht
lemma iIndepFun.precomp (hg : Function.Injective g) (h : iIndepFun f κ μ) :
iIndepFun (fun i ↦ f (g i)) κ μ :=
iIndep.precomp hg h
lemma iIndepFun.of_precomp (hg : Function.Surjective g) (h : iIndepFun (fun i ↦ f (g i)) κ μ) :
iIndepFun f κ μ :=
iIndep.of_precomp hg h
lemma iIndepFun_precomp_of_bijective (hg : Function.Bijective g) :
iIndepFun (fun i ↦ f (g i)) κ μ ↔ iIndepFun f κ μ :=
⟨.of_precomp hg.surjective, .precomp hg.injective⟩
end ByDefinition
theorem iIndepFun.indepFun {β : ι → Type*} {m : ∀ x, MeasurableSpace (β x)} {f : ∀ i, Ω → β i}
(hf_Indep : iIndepFun f κ μ) {i j : ι} (hij : i ≠ j) : IndepFun (f i) (f j) κ μ :=
hf_Indep.indep hij
theorem indepFun_iff_measure_inter_preimage_eq_mul {mβ : MeasurableSpace β}
{mβ' : MeasurableSpace β'} :
IndepFun f g κ μ ↔
∀ s t, MeasurableSet s → MeasurableSet t
→ ∀ᵐ a ∂μ, κ a (f ⁻¹' s ∩ g ⁻¹' t) = κ a (f ⁻¹' s) * κ a (g ⁻¹' t) := by
constructor <;> intro h
· refine fun s t hs ht => h (f ⁻¹' s) (g ⁻¹' t) ⟨s, hs, rfl⟩ ⟨t, ht, rfl⟩
· rintro _ _ ⟨s, hs, rfl⟩ ⟨t, ht, rfl⟩; exact h s t hs ht
alias ⟨IndepFun.measure_inter_preimage_eq_mul, _⟩ := indepFun_iff_measure_inter_preimage_eq_mul
theorem iIndepFun_iff_measure_inter_preimage_eq_mul {ι : Type*} {β : ι → Type*}
(m : ∀ x, MeasurableSpace (β x)) (f : ∀ i, Ω → β i) :
iIndepFun f κ μ ↔
∀ (S : Finset ι) {sets : ∀ i : ι, Set (β i)} (_H : ∀ i, i ∈ S → MeasurableSet[m i] (sets i)),
∀ᵐ a ∂μ, κ a (⋂ i ∈ S, (f i) ⁻¹' (sets i)) = ∏ i ∈ S, κ a ((f i) ⁻¹' (sets i)) := by
refine ⟨fun h S sets h_meas => h _ fun i hi_mem => ⟨sets i, h_meas i hi_mem, rfl⟩, ?_⟩
intro h S setsΩ h_meas
classical
let setsβ : ∀ i : ι, Set (β i) := fun i =>
dite (i ∈ S) (fun hi_mem => (h_meas i hi_mem).choose) fun _ => Set.univ
have h_measβ : ∀ i ∈ S, MeasurableSet[m i] (setsβ i) := by
intro i hi_mem
simp_rw [setsβ, dif_pos hi_mem]
exact (h_meas i hi_mem).choose_spec.1
have h_preim : ∀ i ∈ S, setsΩ i = f i ⁻¹' setsβ i := by
intro i hi_mem
simp_rw [setsβ, dif_pos hi_mem]
exact (h_meas i hi_mem).choose_spec.2.symm
simp_all
alias ⟨iIndepFun.measure_inter_preimage_eq_mul, _⟩ := iIndepFun_iff_measure_inter_preimage_eq_mul
theorem iIndepFun.congr' {β : ι → Type*} {mβ : ∀ i, MeasurableSpace (β i)}
{f g : Π i, Ω → β i} (hf : iIndepFun f κ μ)
(h : ∀ i, ∀ᵐ a ∂μ, f i =ᵐ[κ a] g i) :
iIndepFun g κ μ := by
rw [iIndepFun_iff_measure_inter_preimage_eq_mul] at hf ⊢
intro S sets hmeas
have : ∀ᵐ a ∂μ, ∀ i ∈ S, f i =ᵐ[κ a] g i :=
(ae_ball_iff (Finset.countable_toSet S)).2 (fun i hi ↦ h i)
filter_upwards [this, hf S hmeas] with a ha h'a
have A i (hi : i ∈ S) : (κ a) (g i ⁻¹' sets i) = (κ a) (f i ⁻¹' sets i) := by
apply measure_congr
filter_upwards [ha i hi] with ω hω
change (g i ω ∈ sets i) = (f i ω ∈ sets i)
simp [hω]
have B : (κ a) (⋂ i ∈ S, g i ⁻¹' sets i) = (κ a) (⋂ i ∈ S, f i ⁻¹' sets i) := by
apply measure_congr
filter_upwards [(ae_ball_iff (Finset.countable_toSet S)).2 ha] with ω hω
change (ω ∈ ⋂ i ∈ S, g i ⁻¹' sets i) = (ω ∈ ⋂ i ∈ S, f i ⁻¹' sets i)
simp +contextual [hω]
convert! h'a using 2 with i hi
exact A i hi
theorem iIndepFun_congr' {β : ι → Type*} {mβ : ∀ i, MeasurableSpace (β i)}
{f g : Π i, Ω → β i} (h : ∀ i, ∀ᵐ a ∂μ, f i =ᵐ[κ a] g i) :
iIndepFun f κ μ ↔ iIndepFun g κ μ where
mp h' := h'.congr' h
mpr h' := by
refine h'.congr' fun i ↦ ?_
filter_upwards [h i] with a ha using ha.symm
lemma iIndepFun.comp {β γ : ι → Type*} {mβ : ∀ i, MeasurableSpace (β i)}
{mγ : ∀ i, MeasurableSpace (γ i)} {f : ∀ i, Ω → β i}
(h : iIndepFun f κ μ) (g : ∀ i, β i → γ i) (hg : ∀ i, Measurable (g i)) :
iIndepFun (fun i ↦ g i ∘ f i) κ μ := by
rw [iIndepFun_iff_measure_inter_preimage_eq_mul] at h ⊢
refine fun t s hs ↦ ?_
have := h t (sets := fun i ↦ g i ⁻¹' (s i)) (fun i a ↦ hg i (hs i a))
filter_upwards [this] with a ha
simp_rw [Set.preimage_comp]
exact ha
lemma iIndepFun.comp₀ {β γ : ι → Type*} {mβ : ∀ i, MeasurableSpace (β i)}
{mγ : ∀ i, MeasurableSpace (γ i)} {f : ∀ i, Ω → β i}
(h : iIndepFun f κ μ) (g : ∀ i, β i → γ i)
(hf : ∀ i, AEMeasurable (f i) (κ ∘ₘ μ)) (hg : ∀ i, AEMeasurable (g i) ((κ ∘ₘ μ).map (f i))) :
iIndepFun (fun i ↦ g i ∘ f i) κ μ := 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)
theorem indepFun_iff_indepSet_preimage {mβ : MeasurableSpace β} {mβ' : MeasurableSpace β'}
[IsZeroOrMarkovKernel κ] (hf : Measurable f) (hg : Measurable g) :
IndepFun f g κ μ ↔
∀ s t, MeasurableSet s → MeasurableSet t → IndepSet (f ⁻¹' s) (g ⁻¹' t) κ μ := by
refine indepFun_iff_measure_inter_preimage_eq_mul.trans ?_
constructor <;> intro h s t hs ht <;> specialize h s t hs ht
· rwa [indepSet_iff_measure_inter_eq_mul (hf hs) (hg ht) κ μ]
· rwa [← indepSet_iff_measure_inter_eq_mul (hf hs) (hg ht) κ μ]
@[symm]
nonrec theorem IndepFun.symm {_ : MeasurableSpace β} {_ : MeasurableSpace β'}
(hfg : IndepFun f g κ μ) : IndepFun g f κ μ := hfg.symm
theorem IndepFun.congr' {mβ : MeasurableSpace β} {mβ' : MeasurableSpace β'}
{f' : Ω → β} {g' : Ω → β'} (hfg : IndepFun f g κ μ)
(hf : ∀ᵐ a ∂μ, f =ᵐ[κ a] f') (hg : ∀ᵐ a ∂μ, g =ᵐ[κ a] g') :
IndepFun f' g' κ μ := by
rintro _ _ ⟨A, hA, rfl⟩ ⟨B, hB, rfl⟩
filter_upwards [hf, hg, hfg _ _ ⟨_, hA, rfl⟩ ⟨_, hB, rfl⟩] with a hf' hg' hfg'
have h1 : f ⁻¹' A =ᵐ[κ a] f' ⁻¹' A := hf'.fun_comp A
have h2 : g ⁻¹' B =ᵐ[κ a] g' ⁻¹' B := hg'.fun_comp B
rwa [← measure_congr h1, ← measure_congr h2, ← measure_congr (h1.inter h2)]
theorem IndepFun.comp {mβ : MeasurableSpace β} {mβ' : MeasurableSpace β'}
{mγ : MeasurableSpace γ} {mγ' : MeasurableSpace γ'} {φ : β → γ} {ψ : β' → γ'}
(hfg : IndepFun f g κ μ) (hφ : Measurable φ) (hψ : Measurable ψ) :
IndepFun (φ ∘ f) (ψ ∘ g) κ μ := by
rintro _ _ ⟨A, hA, rfl⟩ ⟨B, hB, rfl⟩
apply hfg
· exact ⟨φ ⁻¹' A, hφ hA, Set.preimage_comp.symm⟩
· exact ⟨ψ ⁻¹' B, hψ hB, Set.preimage_comp.symm⟩
theorem IndepFun.comp₀ {mβ : MeasurableSpace β} {mβ' : MeasurableSpace β'}
{mγ : MeasurableSpace γ} {mγ' : MeasurableSpace γ'} {φ : β → γ} {ψ : β' → γ'}
(hfg : IndepFun f g κ μ)
(hf : AEMeasurable f (κ ∘ₘ μ)) (hg : AEMeasurable g (κ ∘ₘ μ))
(hφ : AEMeasurable φ ((κ ∘ₘ μ).map f)) (hψ : AEMeasurable ψ ((κ ∘ₘ μ).map g)) :
IndepFun (φ ∘ f) (ψ ∘ g) κ μ := by
have h : IndepFun ((hφ.mk φ) ∘ f) ((hψ.mk ψ) ∘ g) κ μ := by
refine IndepFun.comp hfg hφ.measurable_mk hψ.measurable_mk
have hφ_ae := ae_of_ae_map hf hφ.ae_eq_mk
have hψ_ae := ae_of_ae_map hg hψ.ae_eq_mk
refine IndepFun.congr' h ?_ ?_
· filter_upwards [Measure.ae_ae_of_ae_comp (hφ_ae)] with a haφ
filter_upwards [haφ] with ω hωφ
simp [hωφ]
· filter_upwards [Measure.ae_ae_of_ae_comp (hψ_ae)] with a haψ
filter_upwards [haψ] with ω hωψ
simp [hωψ]
lemma indepFun_const_left {mβ : MeasurableSpace β} {mβ' : MeasurableSpace β'}
[IsZeroOrMarkovKernel κ] (c : β') (X : Ω → β) :
IndepFun (fun _ ↦ c) X κ μ := by
rw [IndepFun, MeasurableSpace.comap_const]
exact indep_bot_left _
lemma indepFun_const_right {mβ : MeasurableSpace β} {mβ' : MeasurableSpace β'}
[IsZeroOrMarkovKernel κ] (X : Ω → β) (c : β') :
IndepFun X (fun _ ↦ c) κ μ :=
(indepFun_const_left c X).symm
theorem IndepFun.neg_right {_mβ : MeasurableSpace β} {_mβ' : MeasurableSpace β'} [Neg β']
[MeasurableNeg β'] (hfg : IndepFun f g κ μ) :
IndepFun f (-g) κ μ := hfg.comp measurable_id measurable_neg
theorem IndepFun.neg_left {_mβ : MeasurableSpace β} {_mβ' : MeasurableSpace β'} [Neg β]
[MeasurableNeg β] (hfg : IndepFun f g κ μ) :
IndepFun (-f) g κ μ := hfg.comp measurable_neg measurable_id
/-- Two random variables `f, g` are independent given a kernel `κ` and a measure `μ` iff
`μ ⊗ₘ κ.map (fun ω ↦ (f ω, g ω)) = μ ⊗ₘ (κ.map f ×ₖ κ.map g)`. -/
theorem indepFun_iff_compProd_map_prod_eq_compProd_prod_map_map
{mβ : MeasurableSpace β} {mγ : MeasurableSpace γ}
[IsFiniteMeasure μ] [IsFiniteKernel κ] {f : Ω → β} {g : Ω → γ}
(hf : Measurable f) (hg : Measurable g) :
IndepFun f g κ μ ↔ μ ⊗ₘ κ.map (fun ω ↦ (f ω, g ω)) = μ ⊗ₘ (κ.map f ×ₖ κ.map g) := by
classical
rw [indepFun_iff_measure_inter_preimage_eq_mul]
refine ⟨fun h ↦ ?_, fun h ↦ ?_⟩
· rw [Measure.ext_prod₃_iff]
intro u s t hu hs ht
rw [Measure.compProd_apply (hu.prod (hs.prod ht)),
Measure.compProd_apply (hu.prod (hs.prod ht))]
refine lintegral_congr_ae ?_
have h_set_eq ω : Prod.mk ω ⁻¹' u ×ˢ s ×ˢ t = if ω ∈ u then s ×ˢ t else ∅ := by ext; simp
simp_rw [h_set_eq]
filter_upwards [h s t hs ht] with ω hω
by_cases hωu : ω ∈ u
swap; · simp [hωu]
simp only [hωu, ↓reduceIte]
rw [map_apply _ (by fun_prop), Measure.map_apply (by fun_prop) (hs.prod ht),
mk_preimage_prod, hω, prod_apply_prod, map_apply' _ (by fun_prop), map_apply' _ (by fun_prop)]
exacts [ht, hs]
· intro s t hs ht
rw [Measure.ext_prod₃_iff] at h
refine ae_eq_of_forall_setLIntegral_eq_of_sigmaFinite ?_ ?_ ?_
· exact Kernel.measurable_coe _ ((hf hs).inter (hg ht))
· exact (Kernel.measurable_coe _ (hf hs)).mul (Kernel.measurable_coe _ (hg ht))
intro u hu hμu
specialize h hu hs ht
rw [Measure.compProd_apply_prod hu (hs.prod ht),
Measure.compProd_apply_prod hu (hs.prod ht)] at h
convert! h with ω ω
· rw [map_apply' _ (by fun_prop) _ (hs.prod ht), mk_preimage_prod]
· rw [prod_apply_prod, map_apply' _ (by fun_prop) _ hs, map_apply' _ (by fun_prop) _ ht]
section iIndepFun
variable {β : ι → Type*} {m : ∀ i, MeasurableSpace (β i)} {f : ∀ i, Ω → β i}
/-- If `f` is a family of mutually independent random variables (`iIndepFun m f μ`) and `S, T` are
two disjoint finite index sets, then the tuple formed by `f i` for `i ∈ S` is independent of the
tuple `(f i)_i` for `i ∈ T`. -/
theorem iIndepFun.indepFun_finset (S T : Finset ι) (hST : Disjoint S T)
(hf_Indep : iIndepFun f κ μ) (hf_meas : ∀ i, Measurable (f i)) :
IndepFun (fun a (i : S) => f i a) (fun a (i : T) => f i a) κ μ := by
rcases eq_or_ne μ 0 with rfl | hμ
· simp
obtain ⟨η, η_eq, hη⟩ : ∃ (η : Kernel α Ω), κ =ᵐ[μ] η ∧ IsMarkovKernel η :=
exists_ae_eq_isMarkovKernel hf_Indep.ae_isProbabilityMeasure hμ
apply IndepFun.congr (Filter.EventuallyEq.symm η_eq)
-- We introduce π-systems, built from the π-system of boxes which generates `MeasurableSpace.pi`.
let πSβ := Set.pi (Set.univ : Set S) ''
Set.pi (Set.univ : Set S) fun i => { s : Set (β i) | MeasurableSet[m i] s }
let πS := { s : Set Ω | ∃ t ∈ πSβ, (fun a (i : S) => f i a) ⁻¹' t = s }
have hπS_pi : IsPiSystem πS := by exact IsPiSystem.comap (@isPiSystem_pi _ _ ?_) _
have hπS_gen : (MeasurableSpace.pi.comap fun a (i : S) => f i a) = generateFrom πS := by
rw [generateFrom_pi.symm, comap_generateFrom]
congr
let πTβ := Set.pi (Set.univ : Set T) ''
Set.pi (Set.univ : Set T) fun i => { s : Set (β i) | MeasurableSet[m i] s }
let πT := { s : Set Ω | ∃ t ∈ πTβ, (fun a (i : T) => f i a) ⁻¹' t = s }
have hπT_pi : IsPiSystem πT := by exact IsPiSystem.comap (@isPiSystem_pi _ _ ?_) _
have hπT_gen : (MeasurableSpace.pi.comap fun a (i : T) => f i a) = generateFrom πT := by
rw [generateFrom_pi.symm, comap_generateFrom]
congr
-- To prove independence, we prove independence of the generating π-systems.
refine IndepSets.indep (Measurable.comap_le (measurable_pi_iff.mpr fun i => hf_meas i))
(Measurable.comap_le (measurable_pi_iff.mpr fun i => hf_meas i)) hπS_pi hπT_pi hπS_gen hπT_gen
?_
rintro _ _ ⟨s, ⟨sets_s, hs1, hs2⟩, rfl⟩ ⟨t, ⟨sets_t, ht1, ht2⟩, rfl⟩
simp only [Set.mem_univ_pi, Set.mem_setOf_eq] at hs1 ht1
rw [← hs2, ← ht2]
classical
let sets_s' : ∀ i : ι, Set (β i) := fun i =>
dite (i ∈ S) (fun hi => sets_s ⟨i, hi⟩) fun _ => Set.univ
have h_sets_s'_eq : ∀ {i} (hi : i ∈ S), sets_s' i = sets_s ⟨i, hi⟩ := by
intro i hi; simp_rw [sets_s', dif_pos hi]
have h_sets_s'_univ : ∀ {i} (_hi : i ∈ T), sets_s' i = Set.univ := by
intro i hi; simp_rw [sets_s', dif_neg (Finset.disjoint_right.mp hST hi)]
let sets_t' : ∀ i : ι, Set (β i) := fun i =>
dite (i ∈ T) (fun hi => sets_t ⟨i, hi⟩) fun _ => Set.univ
have h_sets_t'_univ : ∀ {i} (_hi : i ∈ S), sets_t' i = Set.univ := by
intro i hi; simp_rw [sets_t', dif_neg (Finset.disjoint_left.mp hST hi)]
have h_meas_s' : ∀ i ∈ S, MeasurableSet (sets_s' i) := by
intro i hi; rw [h_sets_s'_eq hi]; exact hs1 _
have h_meas_t' : ∀ i ∈ T, MeasurableSet (sets_t' i) := by
intro i hi; simp_rw [sets_t', dif_pos hi]; exact ht1 _
have h_eq_inter_S : (fun (ω : Ω) (i : ↥S) =>
f (↑i) ω) ⁻¹' Set.pi Set.univ sets_s = ⋂ i ∈ S, f i ⁻¹' sets_s' i := by
ext1 x
simp_rw [Set.mem_preimage, Set.mem_univ_pi, Set.mem_iInter]
grind
have h_eq_inter_T : (fun (ω : Ω) (i : ↥T) => f (↑i) ω) ⁻¹' Set.pi Set.univ sets_t
= ⋂ i ∈ T, f i ⁻¹' sets_t' i := by
ext1 x
simp only [Set.mem_preimage, Set.mem_univ_pi, Set.mem_iInter]
constructor <;> intro h
· intro i hi; simp_rw [sets_t', dif_pos hi]; exact h ⟨i, hi⟩
· rintro ⟨i, hi⟩; specialize h i hi; simp_rw [sets_t', dif_pos hi] at h; exact h
replace hf_Indep := hf_Indep.congr η_eq
rw [iIndepFun_iff_measure_inter_preimage_eq_mul] at hf_Indep
have h_Inter_inter :
((⋂ i ∈ S, f i ⁻¹' sets_s' i) ∩ ⋂ i ∈ T, f i ⁻¹' sets_t' i) =
⋂ i ∈ S ∪ T, f i ⁻¹' (sets_s' i ∩ sets_t' i) := by
ext1 x
simp_rw [Set.mem_inter_iff, Set.mem_iInter, Set.mem_preimage, Finset.mem_union]
constructor <;> intro h
· grind
· exact ⟨fun i hi => (h i (Or.inl hi)).1, fun i hi => (h i (Or.inr hi)).2⟩
have h_meas_inter : ∀ i ∈ S ∪ T, MeasurableSet (sets_s' i ∩ sets_t' i) := by
intro i hi_mem
rw [Finset.mem_union] at hi_mem
rcases hi_mem with hi_mem | hi_mem
· rw [h_sets_t'_univ hi_mem, Set.inter_univ]
exact h_meas_s' i hi_mem
· rw [h_sets_s'_univ hi_mem, Set.univ_inter]
exact h_meas_t' i hi_mem
filter_upwards [hf_Indep S h_meas_s', hf_Indep T h_meas_t', hf_Indep (S ∪ T) h_meas_inter]
with a h_indepS h_indepT h_indepST
rw [h_eq_inter_S, h_eq_inter_T, h_indepS, h_indepT, h_Inter_inter, h_indepST,
Finset.prod_union hST]
congr 1
· refine Finset.prod_congr rfl fun i hi => ?_
rw [h_sets_t'_univ hi, Set.inter_univ]
· refine Finset.prod_congr rfl fun i hi => ?_
rw [h_sets_s'_univ hi, Set.univ_inter]
theorem iIndepFun.indepFun_finset₀ (S T : Finset ι) (hST : Disjoint S T)
(hf_Indep : iIndepFun f κ μ) (hf_meas : ∀ i, AEMeasurable (f i) (κ ∘ₘ μ)) :
IndepFun (fun a (i : S) ↦ f i a) (fun a (i : T) ↦ f i a) κ μ := by
have h : IndepFun (fun a (i : S) ↦ (hf_meas i).mk (f i) a)
(fun a (i : T) ↦ (hf_meas i).mk (f i) a) κ μ := by
refine iIndepFun.indepFun_finset S T hST ?_ fun i ↦ (hf_meas i).measurable_mk
exact iIndepFun.congr' hf_Indep fun i ↦ Measure.ae_ae_of_ae_comp (hf_meas i).ae_eq_mk
refine IndepFun.congr' h ?_ ?_
· have : ∀ᵐ (a : α) ∂μ, ∀ (i : S), f i =ᵐ[κ a] (hf_meas i).mk := by
rw [ae_all_iff]
exact fun i ↦ Measure.ae_ae_of_ae_comp (hf_meas i).ae_eq_mk
filter_upwards [this] with a ha
filter_upwards [ae_all_iff.2 ha] with b hb
ext i
exact (hb i).symm
· have : ∀ᵐ (a : α) ∂μ, ∀ (i : T), f i =ᵐ[κ a] (hf_meas i).mk := by
rw [ae_all_iff]
exact fun i ↦ Measure.ae_ae_of_ae_comp (hf_meas i).ae_eq_mk
filter_upwards [this] with a ha
filter_upwards [ae_all_iff.2 ha] with b hb
ext i
exact (hb i).symm
theorem iIndepFun.indepFun_prodMk (hf_Indep : iIndepFun f κ μ)
(hf_meas : ∀ i, Measurable (f i)) (i j k : ι) (hik : i ≠ k) (hjk : j ≠ k) :
IndepFun (fun a => (f i a, f j a)) (f k) κ μ := by
classical
have h_right :
f k = (fun p : ∀ j : ({k} : Finset ι), β j => p ⟨k, Finset.mem_singleton_self k⟩) ∘
fun a (j : ({k} : Finset ι)) => f j a :=
rfl
have h_meas_right : Measurable fun p : ∀ j : ({k} : Finset ι),
β j => p ⟨k, Finset.mem_singleton_self k⟩ :=
measurable_pi_apply _
let s : Finset ι := {i, j}
have h_left : (fun ω => (f i ω, f j ω)) = (fun p : ∀ l : s, β l =>
(p ⟨i, Finset.mem_insert_self i _⟩,
p ⟨j, Finset.mem_insert_of_mem (Finset.mem_singleton_self _)⟩)) ∘
fun a (j : s) => f j a := by
ext1 a
simp only
constructor
have h_meas_left : Measurable fun p : ∀ l : s, β l =>
(p ⟨i, Finset.mem_insert_self i _⟩,
p ⟨j, Finset.mem_insert_of_mem (Finset.mem_singleton_self _)⟩) :=
Measurable.prod (measurable_pi_apply _) (measurable_pi_apply _)
rw [h_left, h_right]
refine (hf_Indep.indepFun_finset s {k} ?_ hf_meas).comp h_meas_left h_meas_right
rw [Finset.disjoint_singleton_right]
simp only [s, Finset.mem_insert, Finset.mem_singleton, not_or]
exact ⟨hik.symm, hjk.symm⟩
theorem iIndepFun.indepFun_prodMk₀ (hf_Indep : iIndepFun f κ μ)
(hf_meas : ∀ i, AEMeasurable (f i) (κ ∘ₘ μ)) (i j k : ι) (hik : i ≠ k) (hjk : j ≠ k) :
IndepFun (fun a ↦ (f i a, f j a)) (f k) κ μ := by
have h : IndepFun (fun a ↦ ((hf_meas i).mk (f i) a, (hf_meas j).mk (f j) a))
((hf_meas k).mk (f k)) κ μ := by
refine iIndepFun.indepFun_prodMk ?_ (fun i ↦ (hf_meas i).measurable_mk) _ _ _ hik hjk
exact iIndepFun.congr' hf_Indep fun i ↦ Measure.ae_ae_of_ae_comp (hf_meas i).ae_eq_mk
refine IndepFun.congr' h ?_ ?_
· filter_upwards [Measure.ae_ae_of_ae_comp (hf_meas i).ae_eq_mk,
Measure.ae_ae_of_ae_comp (hf_meas j).ae_eq_mk] with a hi hj
filter_upwards [hi, hj] with ω hωi hωj
rw [← hωi, ← hωj]
· exact Measure.ae_ae_of_ae_comp (hf_meas k).ae_eq_mk.symm
open Finset in
lemma iIndepFun.indepFun_prodMk_prodMk (hf_indep : iIndepFun f κ μ)
(hf_meas : ∀ i, Measurable (f i))
(i j k l : ι) (hik : i ≠ k) (hil : i ≠ l) (hjk : j ≠ k) (hjl : j ≠ l) :
IndepFun (fun a ↦ (f i a, f j a)) (fun a ↦ (f k a, f l a)) κ μ := by
classical
let g (i j : ι) (v : Π x : ({i, j} : Finset ι), β x) : β i × β j :=
⟨v ⟨i, mem_insert_self _ _⟩, v ⟨j, mem_insert_of_mem <| mem_singleton_self _⟩⟩
have hg (i j : ι) : Measurable (g i j) := by fun_prop
exact (hf_indep.indepFun_finset {i, j} {k, l} (by aesop) hf_meas).comp (hg i j) (hg k l)
theorem iIndepFun.indepFun_prodMk_prodMk₀ (hf_indep : iIndepFun f κ μ)
(hf_meas : ∀ i, AEMeasurable (f i) (κ ∘ₘ μ))
(i j k l : ι) (hik : i ≠ k) (hil : i ≠ l) (hjk : j ≠ k) (hjl : j ≠ l) :
IndepFun (fun a ↦ (f i a, f j a)) (fun a ↦ (f k a, f l a)) κ μ := by
have h : IndepFun (fun a ↦ ((hf_meas i).mk (f i) a, (hf_meas j).mk (f j) a))
(fun a ↦ ((hf_meas k).mk (f k) a, (hf_meas l).mk (f l) a)) κ μ := by
refine iIndepFun.indepFun_prodMk_prodMk ?_ (fun i ↦ (hf_meas i).measurable_mk) _ _ _ _ hik hil
hjk hjl
exact iIndepFun.congr' hf_indep fun i ↦ Measure.ae_ae_of_ae_comp (hf_meas i).ae_eq_mk
refine IndepFun.congr' h ?_ ?_
· filter_upwards [Measure.ae_ae_of_ae_comp (hf_meas i).ae_eq_mk,
Measure.ae_ae_of_ae_comp (hf_meas j).ae_eq_mk] with a hi hj
filter_upwards [hi, hj] with ω hωi hωj
rw [← hωi, ← hωj]
· filter_upwards [Measure.ae_ae_of_ae_comp (hf_meas k).ae_eq_mk,
Measure.ae_ae_of_ae_comp (hf_meas l).ae_eq_mk] with a hk hl
filter_upwards [hk, hl] with ω hωk hωl
rw [← hωk, ← hωl]
end iIndepFun
section Mul
variable {β : Type*} {m : MeasurableSpace β} [Mul β] [MeasurableMul₂ β] {f : ι → Ω → β}
@[to_additive]
lemma iIndepFun.indepFun_mul_left (hf_indep : iIndepFun f κ μ)
(hf_meas : ∀ i, Measurable (f i)) (i j k : ι) (hik : i ≠ k) (hjk : j ≠ k) :
IndepFun (f i * f j) (f k) κ μ := by
have : IndepFun (fun ω => (f i ω, f j ω)) (f k) κ μ :=
hf_indep.indepFun_prodMk hf_meas i j k hik hjk
simpa using this.comp (measurable_fst.mul measurable_snd) measurable_id
@[to_additive]
lemma iIndepFun.indepFun_mul_left₀ (hf_indep : iIndepFun f κ μ)
(hf_meas : ∀ i, AEMeasurable (f i) (κ ∘ₘ μ)) (i j k : ι) (hik : i ≠ k) (hjk : j ≠ k) :
IndepFun (f i * f j) (f k) κ μ := by
have : IndepFun (fun ω => (f i ω, f j ω)) (f k) κ μ :=
hf_indep.indepFun_prodMk₀ hf_meas i j k hik hjk
simpa using this.comp (measurable_fst.mul measurable_snd) measurable_id
@[to_additive]
lemma iIndepFun.indepFun_mul_right (hf_indep : iIndepFun f κ μ)
(hf_meas : ∀ i, Measurable (f i)) (i j k : ι) (hij : i ≠ j) (hik : i ≠ k) :
IndepFun (f i) (f j * f k) κ μ :=
(hf_indep.indepFun_mul_left hf_meas _ _ _ hij.symm hik.symm).symm
@[to_additive]
lemma iIndepFun.indepFun_mul_right₀ (hf_indep : iIndepFun f κ μ)
(hf_meas : ∀ i, AEMeasurable (f i) (κ ∘ₘ μ)) (i j k : ι) (hij : i ≠ j) (hik : i ≠ k) :
IndepFun (f i) (f j * f k) κ μ :=
(hf_indep.indepFun_mul_left₀ hf_meas _ _ _ hij.symm hik.symm).symm
@[to_additive]
lemma iIndepFun.indepFun_mul_mul (hf_indep : iIndepFun f κ μ)
(hf_meas : ∀ i, Measurable (f i))
(i j k l : ι) (hik : i ≠ k) (hil : i ≠ l) (hjk : j ≠ k) (hjl : j ≠ l) :
IndepFun (f i * f j) (f k * f l) κ μ :=
(hf_indep.indepFun_prodMk_prodMk hf_meas i j k l hik hil hjk hjl).comp
measurable_mul measurable_mul
@[to_additive]
lemma iIndepFun.indepFun_mul_mul₀ (hf_indep : iIndepFun f κ μ)
(hf_meas : ∀ i, AEMeasurable (f i) (κ ∘ₘ μ))
(i j k l : ι) (hik : i ≠ k) (hil : i ≠ l) (hjk : j ≠ k) (hjl : j ≠ l) :
IndepFun (f i * f j) (f k * f l) κ μ :=
(hf_indep.indepFun_prodMk_prodMk₀ hf_meas i j k l hik hil hjk hjl).comp
measurable_mul measurable_mul
end Mul
section Div
variable {β : Type*} {m : MeasurableSpace β} [Div β] [MeasurableDiv₂ β] {f : ι → Ω → β}
@[to_additive]
lemma iIndepFun.indepFun_div_left (hf_indep : iIndepFun f κ μ)
(hf_meas : ∀ i, Measurable (f i)) (i j k : ι) (hik : i ≠ k) (hjk : j ≠ k) :
IndepFun (f i / f j) (f k) κ μ := by
have : IndepFun (fun ω => (f i ω, f j ω)) (f k) κ μ :=
hf_indep.indepFun_prodMk hf_meas i j k hik hjk
simpa using this.comp (measurable_fst.div measurable_snd) measurable_id
@[to_additive]
lemma iIndepFun.indepFun_div_left₀ (hf_indep : iIndepFun f κ μ)
(hf_meas : ∀ i, AEMeasurable (f i) (κ ∘ₘ μ)) (i j k : ι) (hik : i ≠ k) (hjk : j ≠ k) :
IndepFun (f i / f j) (f k) κ μ := by
have : IndepFun (fun ω => (f i ω, f j ω)) (f k) κ μ :=
hf_indep.indepFun_prodMk₀ hf_meas i j k hik hjk
simpa using this.comp (measurable_fst.div measurable_snd) measurable_id
@[to_additive]
lemma iIndepFun.indepFun_div_right (hf_indep : iIndepFun f κ μ)
(hf_meas : ∀ i, Measurable (f i)) (i j k : ι) (hij : i ≠ j) (hik : i ≠ k) :
IndepFun (f i) (f j / f k) κ μ :=
(hf_indep.indepFun_div_left hf_meas _ _ _ hij.symm hik.symm).symm
@[to_additive]
lemma iIndepFun.indepFun_div_right₀ (hf_indep : iIndepFun f κ μ)
(hf_meas : ∀ i, AEMeasurable (f i) (κ ∘ₘ μ)) (i j k : ι) (hij : i ≠ j) (hik : i ≠ k) :
IndepFun (f i) (f j / f k) κ μ :=
(hf_indep.indepFun_div_left₀ hf_meas _ _ _ hij.symm hik.symm).symm
@[to_additive]
lemma iIndepFun.indepFun_div_div (hf_indep : iIndepFun f κ μ)
(hf_meas : ∀ i, Measurable (f i))
(i j k l : ι) (hik : i ≠ k) (hil : i ≠ l) (hjk : j ≠ k) (hjl : j ≠ l) :
IndepFun (f i / f j) (f k / f l) κ μ :=
(hf_indep.indepFun_prodMk_prodMk hf_meas i j k l hik hil hjk hjl).comp
measurable_div measurable_div
@[to_additive]
lemma iIndepFun.indepFun_div_div₀ (hf_indep : iIndepFun f κ μ)
(hf_meas : ∀ i, AEMeasurable (f i) (κ ∘ₘ μ))
(i j k l : ι) (hik : i ≠ k) (hil : i ≠ l) (hjk : j ≠ k) (hjl : j ≠ l) :
IndepFun (f i / f j) (f k / f l) κ μ :=
(hf_indep.indepFun_prodMk_prodMk₀ hf_meas i j k l hik hil hjk hjl).comp
measurable_div measurable_div
end Div
section CommMonoid
variable {β : Type*} {m : MeasurableSpace β} [CommMonoid β] [MeasurableMul₂ β] {f : ι → Ω → β}
@[to_additive]
theorem iIndepFun.indepFun_finsetProd_of_notMem (hf_Indep : iIndepFun f κ μ)
(hf_meas : ∀ i, Measurable (f i)) {s : Finset ι} {i : ι} (hi : i ∉ s) :
IndepFun (∏ j ∈ s, f j) (f i) κ μ := by
classical
have h_right : f i =
(fun p : ({i} : Finset ι) → β => p ⟨i, Finset.mem_singleton_self i⟩) ∘
fun a (j : ({i} : Finset ι)) => f j a := rfl
have h_meas_right : Measurable fun p : ({i} : Finset ι) → β =>
p ⟨i, Finset.mem_singleton_self i⟩ := measurable_pi_apply _
have h_left : ∏ j ∈ s, f j = (fun p : s → β => ∏ j, p j) ∘ fun a (j : s) => f j a := by
ext1 a
simp only [Function.comp_apply]
have : (∏ j : ↥s, f (↑j) a) = (∏ j : ↥s, f ↑j) a := by rw [Finset.prod_apply]
rw [this, Finset.prod_coe_sort]
have h_meas_left : Measurable fun p : s → β => ∏ j, p j :=
Finset.univ.measurable_fun_prod fun (j : ↥s) (_H : j ∈ Finset.univ) => measurable_pi_apply j
rw [h_left, h_right]
exact
(hf_Indep.indepFun_finset s {i} (Finset.disjoint_singleton_left.mpr hi).symm hf_meas).comp
h_meas_left h_meas_right
@[deprecated (since := "2026-04-08")]
alias iIndepFun.indepFun_finset_sum_of_notMem := iIndepFun.indepFun_finsetSum_of_notMem
@[to_additive existing, deprecated (since := "2026-04-08")]
alias iIndepFun.indepFun_finset_prod_of_notMem := iIndepFun.indepFun_finsetProd_of_notMem
@[to_additive]
theorem iIndepFun.indepFun_finsetProd_of_notMem₀ (hf_Indep : iIndepFun f κ μ)
(hf_meas : ∀ i, AEMeasurable (f i) (κ ∘ₘ μ)) {s : Finset ι} {i : ι} (hi : i ∉ s) :
IndepFun (∏ j ∈ s, f j) (f i) κ μ := by
have h : IndepFun (∏ j ∈ s, (hf_meas j).mk (f j)) ((hf_meas i).mk (f i)) κ μ := by
refine iIndepFun.indepFun_finsetProd_of_notMem ?_ (fun i ↦ (hf_meas i).measurable_mk) hi
exact iIndepFun.congr' hf_Indep fun i ↦ Measure.ae_ae_of_ae_comp (hf_meas i).ae_eq_mk
refine IndepFun.congr' h ?_ ?_
· have : ∀ᵐ a ∂μ, ∀ (i : s), f i =ᵐ[κ a] (hf_meas i).mk := by
rw [ae_all_iff]
exact fun i ↦ Measure.ae_ae_of_ae_comp (hf_meas i).ae_eq_mk
filter_upwards [this] with a ha
filter_upwards [ae_all_iff.2 ha] with ω hω
simp only [Finset.prod_apply]
exact Finset.prod_congr rfl fun i hi ↦ (hω ⟨i, hi⟩).symm
· exact Measure.ae_ae_of_ae_comp (hf_meas i).ae_eq_mk.symm
@[deprecated (since := "2026-04-08")]
alias iIndepFun.indepFun_finset_sum_of_notMem₀ := iIndepFun.indepFun_finsetSum_of_notMem₀
@[to_additive existing, deprecated (since := "2026-04-08")]
alias iIndepFun.indepFun_finset_prod_of_notMem₀ := iIndepFun.indepFun_finsetProd_of_notMem₀
@[to_additive]
theorem iIndepFun.indepFun_prod_range_succ {f : ℕ → Ω → β}
(hf_Indep : iIndepFun f κ μ) (hf_meas : ∀ i, Measurable (f i)) (n : ℕ) :
IndepFun (∏ j ∈ Finset.range n, f j) (f n) κ μ :=
hf_Indep.indepFun_finsetProd_of_notMem hf_meas Finset.notMem_range_self
@[to_additive]
theorem iIndepFun.indepFun_prod_range_succ₀ {f : ℕ → Ω → β}
(hf_Indep : iIndepFun f κ μ) (hf_meas : ∀ i, AEMeasurable (f i) (κ ∘ₘ μ)) (n : ℕ) :
IndepFun (∏ j ∈ Finset.range n, f j) (f n) κ μ :=
hf_Indep.indepFun_finsetProd_of_notMem₀ hf_meas Finset.notMem_range_self
end CommMonoid
theorem iIndepSet.iIndepFun_indicator [Zero β] [One β] {m : MeasurableSpace β} {s : ι → Set Ω}
(hs : iIndepSet s κ μ) :
iIndepFun (fun n => (s n).indicator fun _ω => (1 : β)) κ μ := by
classical
rw [iIndepFun_iff_measure_inter_preimage_eq_mul]
rintro S π _hπ
simp_rw [Set.indicator_const_preimage_eq_union]
apply hs _ fun i _hi ↦ ?_
have hsi : MeasurableSet[generateFrom {s i}] (s i) :=
measurableSet_generateFrom (Set.mem_singleton _)
refine
MeasurableSet.union (MeasurableSet.ite' (fun _ => hsi) fun _ => ?_)
(MeasurableSet.ite' (fun _ => hsi.compl) fun _ => ?_)
· exact @MeasurableSet.empty _ (generateFrom {s i})
· exact @MeasurableSet.empty _ (generateFrom {s i})
lemma Indep.indicator_const_indepFun {m : MeasurableSpace Ω} {M 𝓧 : Type*}
[Zero M] [MeasurableSpace M] (c : M) [NeZero c] {m𝓧 : MeasurableSpace 𝓧} {A : Set Ω}
{X : Ω → 𝓧} (hA : MeasurableSet[m] A) (h : Indep m (m𝓧.comap X) κ μ) :
IndepFun (A.indicator (fun _ ↦ c)) X κ μ :=
indep_of_indep_of_le_left h (measurable_const.indicator hA).comap_le
variable {mβ : MeasurableSpace β} {X : ι → Ω → α} {Y : ι → Ω → β}
{f : _ → Set Ω} {t : ι → Set β} {s : Finset ι}
/-- The probability of an intersection of preimages conditioning on another intersection factors
into a product. -/
lemma iIndepFun.cond_iInter [Finite ι] (hY : ∀ i, Measurable (Y i))
(hindep : iIndepFun (fun i ω ↦ (X i ω, Y i ω)) κ μ)
(hf : ∀ i ∈ s, MeasurableSet[mα.comap (X i)] (f i))
(hy : ∀ᵐ a ∂μ, ∀ i ∉ s, κ a (Y i ⁻¹' t i) ≠ 0) (ht : ∀ i, MeasurableSet (t i)) :
∀ᵐ a ∂μ, (κ a)[⋂ i ∈ s, f i | ⋂ i, Y i ⁻¹' t i] = ∏ i ∈ s, (κ a)[f i | Y i in t i] := by
classical
cases nonempty_fintype ι
let g (i' : ι) := if i' ∈ s then Y i' ⁻¹' t i' ∩ f i' else Y i' ⁻¹' t i'
have hYt i : MeasurableSet[(mα.prod mβ).comap fun ω ↦ (X i ω, Y i ω)] (Y i ⁻¹' t i) :=
⟨.univ ×ˢ t i, .prod .univ (ht _), by ext; simp⟩
have hg i : MeasurableSet[(mα.prod mβ).comap fun ω ↦ (X i ω, Y i ω)] (g i) := by
by_cases hi : i ∈ s <;> simp only [hi, ↓reduceIte, g]
· obtain ⟨A, hA, hA'⟩ := hf i hi
exact (hYt _).inter ⟨A ×ˢ .univ, hA.prod .univ, by ext; simp [← hA']⟩
· exact hYt _
filter_upwards [hy, hindep.ae_isProbabilityMeasure, hindep.meas_iInter hYt, hindep.meas_iInter hg]
with a hy _ hYt hg
calc
_ = (κ a (⋂ i, Y i ⁻¹' t i))⁻¹ * κ a ((⋂ i, Y i ⁻¹' t i) ∩ ⋂ i ∈ s, f i) := by
rw [cond_apply]; exact .iInter fun i ↦ hY i (ht i)
_ = (κ a (⋂ i, Y i ⁻¹' t i))⁻¹ * κ a (⋂ i, g i) := by
congr 2
calc
_ = (⋂ i, Y i ⁻¹' t i) ∩ ⋂ i, if i ∈ s then f i else .univ := by
congr 1
simp only [Set.iInter_ite, Set.iInter_univ, Set.inter_univ]
_ = ⋂ i, Y i ⁻¹' t i ∩ (if i ∈ s then f i else .univ) := by rw [Set.iInter_inter_distrib]
_ = _ := Set.iInter_congr fun i ↦ by by_cases hi : i ∈ s <;> simp [hi, g]
_ = (∏ i, κ a (Y i ⁻¹' t i))⁻¹ * κ a (⋂ i, g i) := by
rw [hYt]
_ = (∏ i, κ a (Y i ⁻¹' t i))⁻¹ * ∏ i, κ a (g i) := by
rw [hg]
_ = ∏ i, (κ a (Y i ⁻¹' t i))⁻¹ * κ a (g i) := by
rw [Finset.prod_mul_distrib, ENNReal.prod_inv_distrib]
exact fun _ _ i _ _ ↦ .inr <| measure_ne_top _ _
_ = ∏ i, if i ∈ s then (κ a)[f i | Y i ⁻¹' t i] else 1 := by
refine Finset.prod_congr rfl fun i _ ↦ ?_
by_cases hi : i ∈ s
· simp only [hi, ↓reduceIte, g, cond_apply (hY i (ht i))]
· simp only [hi, ↓reduceIte, g, ENNReal.inv_mul_cancel (hy i hi) (measure_ne_top _ _)]
_ = _ := by simp
-- TODO: We can't state `Kernel.iIndepFun.cond` (the `Kernel` analogue of
-- `ProbabilityTheory.iIndepFun.cond`) because we don't have a version of `ProbabilityTheory.cond`
-- for kernels
end ProbabilityTheory.Kernel