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Add lean source and binary files (part 17)
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import OAI.Analysis.FiniteFactor.Coupling.Infinite
import OAI.Analysis.FiniteFactor.Coupling.FiniteLaw
import OAI.Analysis.FiniteFactor.ProductKernel
namespace OAI
namespace FiniteFactor
open MeasureTheory ProbabilityTheory Finset
open scoped ENNReal
noncomputable section
namespace CouplingParameters
/-- The orientation records the conditioning endpoint first. -/
def orientPair (right : Bool) (z : ℝ × ℝ) : ℝ × ℝ :=
(endpoint right z, endpoint (!right) z)
theorem orientPair_measurable (right : Bool) : Measurable (orientPair right) :=
(endpoint_measurable right).prodMk (endpoint_measurable (!right))
theorem posterior_compProd (p : CouplingParameters) (right : Bool) :
(p.selectedLaw true right) ⊗ₘ (p.posteriorKernel right) =
p.coupling.map (orientPair right) := by
apply Measure.ext_prod
intro A B hA hB
rw [Measure.compProd_apply_prod hA hB, selectedLaw_endpoint,
Measure.map_apply (orientPair_measurable right) (hA.prod hB)]
cases right
· exact p.conditional_given_x hA hB
· have he : orientPair true ⁻¹' (A ×ˢ B) = B ×ˢ A := by
ext z
simp [orientPair, endpoint, and_comm]
rw [he]
exact p.conditional_given_y hA hB
def vectorCoupling {ι : Type*} (p : ι → CouplingParameters) :
Measure (ι → Fin 6 × (ℝ × ℝ)) := Measure.infinitePi (fun i => (p i).labelledCoupling)
instance vectorCoupling_probability {ι : Type*} (p : ι → CouplingParameters) :
IsProbabilityMeasure (vectorCoupling p) := by unfold vectorCoupling; infer_instance
def vectorEndpoint {ι : Type*} (right : ι → Bool) (ω : ι → Fin 6 × (ℝ × ℝ)) (i : ι) : ℝ :=
endpoint (right i) (ω i).2
theorem vectorEndpoint_measurable {ι : Type*} (right : ι → Bool) : Measurable (vectorEndpoint right) := by
exact Measurable.of_eval (fun i => (endpoint_measurable (right i)).comp
(measurable_snd.comp (measurable_pi_apply i)))
theorem vectorEndpoint_law {ι : Type*} (p : ι → CouplingParameters) (right : ι → Bool) :
(vectorCoupling p).map (vectorEndpoint right) =
Measure.infinitePi (fun i => (p i).selectedLaw true (right i)) := by
unfold vectorCoupling vectorEndpoint
rw [Measure.infinitePi_map_pi _
(f := fun i (z : Fin 6 × (ℝ × ℝ)) => endpoint (right i) z.2)
(fun i => (endpoint_measurable (right i)).comp measurable_snd)]
simp_rw [labelled_endpoint_density]
rfl
def vectorPosterior {ι : Type*} (p : ι → CouplingParameters) (right : ι → Bool) :
Kernel (ι → ℝ) (ι → ℝ) := independentKernel (fun i => (p i).posteriorKernel (right i))
instance vectorPosterior_markov {ι : Type*} (p : ι → CouplingParameters) (right : ι → Bool) :
IsMarkovKernel (vectorPosterior p right) := by unfold vectorPosterior; infer_instance
/-- The product posterior is the conditional law given the entire selected
endpoint vector. This identity holds for the actual augmented product law. -/
theorem vectorPosterior_disintegration {ι : Type*} (p : ι → CouplingParameters) (right : ι → Bool) :
((vectorCoupling p).map (vectorEndpoint right)) ⊗ₘ (vectorPosterior p right) =
(vectorCoupling p).map (fun ω => (vectorEndpoint right ω, vectorEndpoint (fun i => !right i) ω)) := by
rw [vectorEndpoint_law]
have hh := independentKernel_compProd (fun i => (p i).selectedLaw true (right i))
(fun i => (p i).posteriorKernel (right i))
simp_rw [posterior_compProd] at hh
let zip : (ι → ℝ) × (ι → ℝ) → (ι → ℝ × ℝ) := fun z i => (z.1 i, z.2 i)
let unzip : (ι → ℝ × ℝ) → (ι → ℝ) × (ι → ℝ) := fun z => (fun i => (z i).1, fun i => (z i).2)
have hz : Measurable zip := by fun_prop
have hu : Measurable unzip := by fun_prop
have hleft := congrArg (fun ν : Measure (ι → ℝ × ℝ) => ν.map unzip) hh
rw [Measure.map_map hu hz] at hleft
have hid : unzip ∘ zip = id := rfl
rw [hid, Measure.map_id] at hleft
change _ = (Measure.infinitePi (fun i => (p i).coupling.map (orientPair (right i)))).map unzip at hleft
unfold vectorPosterior
rw [hleft]
have hp : (vectorCoupling p).map (fun ω i => orientPair (right i) (ω i).2) =
Measure.infinitePi (fun i => (p i).coupling.map (orientPair (right i))) := by
unfold vectorCoupling
rw [Measure.infinitePi_map_pi _
(f := fun i (z : Fin 6 × (ℝ × ℝ)) => orientPair (right i) z.2)
(fun i => (orientPair_measurable (right i)).comp measurable_snd)]
congr 1
funext i
unfold coupling
rw [Measure.map_map (orientPair_measurable (right i)) measurable_snd]
rfl
have hv : Measurable (fun (ω : ι → Fin 6 × (ℝ × ℝ)) i => orientPair (right i) (ω i).2) :=
Measurable.of_eval (fun i => (orientPair_measurable (right i)).comp
(measurable_snd.comp (measurable_pi_apply i)))
rw [← hp, Measure.map_map hu hv]
rfl
/-- Full-vector conditional independence, including both endpoint orientations.
Together with vectorPosterior_disintegration this is independence under the
actual conditional law, not a statement about a separately chosen product. -/
theorem vectorPosterior_independence {ι : Type*} (p : ι → CouplingParameters) (right : ι → Bool)
(x : ι → ℝ) (I : Finset ι) (S : ι → Set ℝ) (hS : ∀ i ∈ I, MeasurableSet (S i)) :
vectorPosterior p right x (Set.pi (I : Set ι) S) =
∏ i ∈ I, (p i).posteriorKernel (right i) (x i) (S i) :=
independentKernel_pi _ x I S hS
/-- Defining conditional identity for every measurable pair of full-vector events. -/
theorem vectorPosterior_rectangle {ι : Type*} (p : ι → CouplingParameters) (right : ι → Bool)
{A B : Set (ι → ℝ)} (hA : MeasurableSet A) (hB : MeasurableSet B) :
(∫⁻ x in A, vectorPosterior p right x B ∂((vectorCoupling p).map (vectorEndpoint right))) =
vectorCoupling p {ω | vectorEndpoint right ω ∈ A ∧ vectorEndpoint (fun i => !right i) ω ∈ B} := by
rw [← Measure.compProd_apply_prod hA hB, vectorPosterior_disintegration,
Measure.map_apply ((vectorEndpoint_measurable right).prodMk
(vectorEndpoint_measurable (fun i => !right i))) (hA.prod hB)]
rfl
end CouplingParameters
end
end FiniteFactor
end OAI