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import OAI.NumberTheory.DukePrimeDegree.Dynamics.HopfPairs
import Mathlib.Probability.Kernel.Disintegration.StandardBorel
namespace OAI
/-!
# Pairs sampled from a conditional measure
Resampling the second coordinate from its conditional distribution
preserves both coordinate marginals. These pairs let the Hopf principle
apply inside a foliation chart, with both ambient marginals dominated
by the original finite invariant measure.
-/
open MeasureTheory ProbabilityTheory Filter Set
open scoped ENNReal Topology Uniformity
namespace DukePrimeDegree
variable {S B : Type*} [MeasurableSpace S] [MeasurableSpace B]
[StandardBorelSpace B] [Nonempty B]
/-- Keep the transverse coordinate and independently resample the leaf
coordinate using its conditional law. -/
noncomputable def conditionalPairMeasure (ρ : Measure (S × B)) [IsFiniteMeasure ρ] :
Measure ((S × B) × B) :=
ρ ⊗ₘ ρ.condKernel.comap Prod.fst measurable_fst
instance (ρ : Measure (S × B)) [IsFiniteMeasure ρ] :
IsFiniteMeasure (conditionalPairMeasure ρ) := by
unfold conditionalPairMeasure
infer_instance
lemma conditionalPairMeasure_left (ρ : Measure (S × B)) [IsFiniteMeasure ρ] :
(conditionalPairMeasure ρ).map Prod.fst = ρ := by
exact Measure.fst_compProd ρ _
lemma conditionalPairMeasure_right (ρ : Measure (S × B)) [IsFiniteMeasure ρ] :
(conditionalPairMeasure ρ).map (fun z => (z.1.1, z.2)) = ρ := by
ext A hA
have hm : Measurable (fun z : (S × B) × B => (z.1.1, z.2)) := by fun_prop
rw [Measure.map_apply hm hA, conditionalPairMeasure,
Measure.compProd_apply (hA.preimage hm)]
change (∫⁻ z : S × B, ρ.condKernel z.1 (Prod.mk z.1 ⁻¹' A) ∂ρ) = ρ A
calc
_ = ∫⁻ s, ρ.condKernel s (Prod.mk s ⁻¹' A) ∂ρ.fst :=
(lintegral_map (Kernel.measurable_kernel_prodMk_left hA) measurable_fst).symm
_ = (ρ.fst ⊗ₘ ρ.condKernel) A := (Measure.compProd_apply hA).symm
_ = ρ A := by rw [Measure.disintegrate]
lemma map_conditionalPair_left {α : Type*} [MeasurableSpace α]
(ρ : Measure (S × B)) [IsFiniteMeasure ρ]
(R : S × B → α) (hR : Measurable R) :
(conditionalPairMeasure ρ).map (fun z => R z.1) = ρ.map R := by
change (conditionalPairMeasure ρ).map (R ∘ Prod.fst) = ρ.map R
rw [← Measure.map_map hR measurable_fst, conditionalPairMeasure_left]
lemma map_conditionalPair_right {α : Type*} [MeasurableSpace α]
(ρ : Measure (S × B)) [IsFiniteMeasure ρ]
(R : S × B → α) (hR : Measurable R) :
(conditionalPairMeasure ρ).map (fun z => R (z.1.1, z.2)) = ρ.map R := by
let r : (S × B) × B → S × B := fun z => (z.1.1, z.2)
have hr : Measurable r := by fun_prop
change (conditionalPairMeasure ρ).map (R ∘ r) = ρ.map R
rw [← Measure.map_map hR hr]
exact congrArg (Measure.map R) (conditionalPairMeasure_right ρ)
/-- An ambient almost-everywhere property holds at both sampled points. -/
lemma ae_conditionalPair_of_ambient (ρ : Measure (S × B)) [IsFiniteMeasure ρ]
{P : S × B → Prop} (hP : ∀ᵐ z ∂ρ, P z) :
∀ᵐ z ∂conditionalPairMeasure ρ, P z.1 ∧ P (z.1.1, z.2) := by
have hleft : ∀ᵐ z ∂conditionalPairMeasure ρ, P z.1 := by
apply ae_of_ae_map measurable_fst.aemeasurable
rwa [conditionalPairMeasure_left]
have hright : ∀ᵐ z ∂conditionalPairMeasure ρ, P (z.1.1, z.2) := by
apply ae_of_ae_map (by fun_prop :
Measurable (fun z : (S × B) × B => (z.1.1, z.2))).aemeasurable
rwa [conditionalPairMeasure_right]
exact hleft.and hright
/-- A chart whose same-fiber point pairs become asymptotic carries
constant conditional values for every integrable invariant observable.
The conclusion is with respect to the actual conditional kernel. -/
theorem ae_conditionalPair_eq_of_asymptotic_orbits
{α : Type*} [UniformSpace α] [T2Space α] [NormalSpace α]
[WeaklyLocallyCompactSpace α] [MeasurableSpace α] [BorelSpace α]
(μ : Measure α) [μ.Regular]
(ρ : Measure (S × B)) [IsFiniteMeasure ρ]
(R : S × B → α) (hR : Measurable R) (hRμ : ρ.map R ≤ μ)
(T : α → α) (hT : MeasurePreserving T μ μ)
(hasymptotic : ∀ᵐ z ∂conditionalPairMeasure ρ,
Tendsto (fun n => (T^[n] (R z.1), T^[n] (R (z.1.1, z.2)))) atTop (𝓤 α))
(f : α → ℝ) (hf : Integrable f μ) (hfinv : (fun x => f (T x)) =ᵐ[μ] f) :
∀ᵐ z ∂conditionalPairMeasure ρ, f (R z.1) = f (R (z.1.1, z.2)) := by
have hl : (conditionalPairMeasure ρ).map (fun z => R z.1) ≤ μ := by
rw [map_conditionalPair_left ρ R hR]
exact hRμ
have hr : (conditionalPairMeasure ρ).map (fun z => R (z.1.1, z.2)) ≤ μ := by
rw [map_conditionalPair_right ρ R hR]
exact hRμ
have hh := ae_eq_of_asymptotic_pair_orbits μ (conditionalPairMeasure ρ)
(fun z => R z.1) (fun z => R (z.1.1, z.2))
(hR.comp measurable_fst) (by fun_prop) hl hr T hT hasymptotic f hf hfinv
exact hh
theorem ae_conditional_eq_of_asymptotic_orbits
{α : Type*} [UniformSpace α] [T2Space α] [NormalSpace α]
[WeaklyLocallyCompactSpace α] [MeasurableSpace α] [BorelSpace α]
(μ : Measure α) [μ.Regular]
(ρ : Measure (S × B)) [IsFiniteMeasure ρ]
(R : S × B → α) (hR : Measurable R) (hRμ : ρ.map R ≤ μ)
(T : α → α) (hT : MeasurePreserving T μ μ)
(hasymptotic : ∀ᵐ z ∂conditionalPairMeasure ρ,
Tendsto (fun n => (T^[n] (R z.1), T^[n] (R (z.1.1, z.2)))) atTop (𝓤 α))
(f : α → ℝ) (hf : Integrable f μ) (hfinv : (fun x => f (T x)) =ᵐ[μ] f) :
∀ᵐ z ∂ρ, ∀ᵐ t ∂ρ.condKernel z.1, f (R z) = f (R (z.1, t)) := by
have hh := ae_conditionalPair_eq_of_asymptotic_orbits μ ρ R hR hRμ T hT
hasymptotic f hf hfinv
exact Measure.ae_ae_of_ae_compProd
(μ := ρ) (κ := ρ.condKernel.comap Prod.fst measurable_fst)
(p := fun z : (S × B) × B => f (R z.1) = f (R (z.1.1, z.2))) hh
end DukePrimeDegree
end OAI