openAI-math-dataset / lean /OAI /Probability /FreeIsing /Posterior /ArrayPosteriorStationarity.lean
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import OAI.Probability.FreeIsing.Brownian.ArrayObservation
import OAI.Probability.FreeIsing.Conditioning.Naturality
import OAI.Probability.FreeIsing.Factors.CoordinateNaturality
import OAI.Probability.FreeIsing.Posterior.PlantedStationarity
namespace OAI
noncomputable section
open MeasureTheory
open scoped NNReal
namespace Problem367
lemma measurable_arrayNaturalFiltration_of_intertwining
{ι Ω : Type*} [MeasurableSpace Ω]
(X : ι → ℝ≥0 → Ω → ℝ) (hmX : ∀ i t, Measurable (X i t))
(T : Ω → Ω) (r : ι → ι)
(hT : ∀ i t ω, X i t (T ω) = X (r i) t ω) (t : ℝ≥0) :
Measurable[arrayNaturalFiltration X hmX t,
arrayNaturalFiltration X hmX t] T := by
rw [arrayNaturalFiltration_eq_comap]
apply measurable_comap_iff.mpr
have heq : (fun ω i (s : Set.Iic t) => X i s ω) ∘ T =
(fun x : ι → Set.Iic t → ℝ => fun i s => x (r i) s) ∘
(fun ω i (s : Set.Iic t) => X i s ω) := by
funext ω i s
exact hT i s ω
rw [heq]
exact (Measurable.of_eval fun index =>
Measurable.of_eval fun time => (measurable_pi_apply time).comp
(measurable_pi_apply (r index))).comp (comap_measurable _)
theorem ae_all_nnrealTimePrimitive_eq_of_version
{Ω : Type*} [MeasurableSpace Ω] (P : Measure Ω) [SFinite P]
{m n : ℝ≥0 → Ω → ℝ}
(hm : Measurable (fun p : ℝ≥0 × Ω => m p.1 p.2))
(hn : Measurable (fun p : ℝ≥0 × Ω => n p.1 p.2))
(heq : ∀ t, m t =ᵐ[P] n t) :
∀ᵐ ω ∂P, ∀ t, nnrealTimePrimitive m t ω = nnrealTimePrimitive n t ω := by
have hmR : Measurable (fun p : ℝ × Ω => m p.1.toNNReal p.2) :=
hm.comp (show Measurable (fun p : ℝ × Ω => (p.1.toNNReal, p.2)) by fun_prop)
have hnR : Measurable (fun p : ℝ × Ω => n p.1.toNNReal p.2) :=
hn.comp (show Measurable (fun p : ℝ × Ω => (p.1.toNNReal, p.2)) by fun_prop)
have htime : ∀ᵐ ω ∂P, ∀ᵐ (s : ℝ) ∂volume, m s.toNNReal ω = n s.toNNReal ω :=
(Measure.ae_ae_comm (μ := (volume : Measure ℝ)) (ν := P)
(p := fun s ω => m s.toNNReal ω = n s.toNNReal ω)
(measurableSet_eq_fun hmR hnR)).mp
(Filter.Eventually.of_forall fun (s : ℝ) => heq s.toNNReal)
filter_upwards [htime] with ω hω
intro t
exact intervalIntegral.integral_congr_ae (hω.mono fun _ hs _ => hs)
namespace ArrayPosteriorStationarity
variable {d : ℕ} {A : Type*} [MeasurableSpace A]
def plantedRelabel (g : TreeAut d) :
((TreeVertex d → IsingSpin) × (TreeVertex d → A)) ≃ᵐ
((TreeVertex d → IsingSpin) × (TreeVertex d → A)) :=
(coordinateRelabelEquiv g.toEquiv).prodCongr (coordinateRelabelEquiv g.toEquiv)
def spinArray (σ : TreeVertex d → IsingSpin) : TreeVertex d → ℝ :=
fun v => spinSign (σ v)
lemma measurable_spinArray : Measurable (spinArray (d := d)) := by
have hm : Measurable spinSign := by intro s hs; trivial
exact Measurable.of_eval fun vertex => hm.comp (measurable_pi_apply vertex)
def filtration (B : ℝ≥0 → A → ℝ) (hmB : ∀ t, Measurable (B t)) :
Filtration ℝ≥0
(inferInstance : MeasurableSpace ((TreeVertex d → IsingSpin) × (TreeVertex d → A))) :=
arrayObservationFiltration (fun _ : TreeVertex d => B) (fun _ => hmB)
spinArray measurable_spinArray
lemma measurable_plantedRelabel_filtration
(B : ℝ≥0 → A → ℝ) (hmB : ∀ t, Measurable (B t))
(g : TreeAut d) (t : ℝ≥0) :
Measurable[filtration B hmB t, filtration B hmB t] (plantedRelabel (A := A) g) := by
apply measurable_arrayNaturalFiltration_of_intertwining
(plantedArrayObservation (fun _ : TreeVertex d => B) spinArray)
(plantedArrayObservation_measurable (fun _ => hmB) measurable_spinArray)
(plantedRelabel g) g.toEquiv.symm
intro i s q
rfl
lemma measurable_plantedRelabel_symm_filtration
(B : ℝ≥0 → A → ℝ) (hmB : ∀ t, Measurable (B t))
(g : TreeAut d) (t : ℝ≥0) :
Measurable[filtration B hmB t, filtration B hmB t] (plantedRelabel (A := A) g).symm := by
apply measurable_arrayNaturalFiltration_of_intertwining
(plantedArrayObservation (fun _ : TreeVertex d => B) spinArray)
(plantedArrayObservation_measurable (fun _ => hmB) measurable_spinArray)
(plantedRelabel g).symm g.toEquiv
intro i s q
rfl
lemma measurePreserving_plantedRelabel {theta : ℝ}
{μ : Measure (TreeVertex d → IsingSpin)} (hμ : HasFreeIsingLaw theta μ)
(ν : Measure A) [IsProbabilityMeasure ν] (g : TreeAut d) :
MeasurePreserving (plantedRelabel (A := A) g)
(μ.prod (Measure.infinitePi (fun _ : TreeVertex d => ν)))
(μ.prod (Measure.infinitePi (fun _ : TreeVertex d => ν))) :=
PlantedStationarity.measurePreserving_planted_relabel hμ ν g
lemma integrable_spin_coordinate
(P : Measure ((TreeVertex d → IsingSpin) × (TreeVertex d → A)))
[IsFiniteMeasure P] (v : TreeVertex d) :
Integrable (fun q => spinSign (q.1 v)) P := by
have hm : Measurable spinSign := by intro s hs; trivial
apply Integrable.of_bound
(hm.comp ((measurable_pi_apply v).comp measurable_fst)).aestronglyMeasurable 1
apply Filter.Eventually.of_forall
intro q
cases hs : q.1 v <;> norm_num [spinSign, hs]
def posterior
(P : Measure ((TreeVertex d → IsingSpin) × (TreeVertex d → A)))
(B : ℝ≥0 → A → ℝ) (hmB : ∀ t, Measurable (B t))
(t : ℝ≥0) (v : TreeVertex d) :
((TreeVertex d → IsingSpin) × (TreeVertex d → A)) → ℝ :=
P[fun q => spinSign (q.1 v) | filtration B hmB t]
lemma measurable_posterior
(P : Measure ((TreeVertex d → IsingSpin) × (TreeVertex d → A)))
(B : ℝ≥0 → A → ℝ) (hmB : ∀ t, Measurable (B t))
(t : ℝ≥0) (v : TreeVertex d) : Measurable (posterior P B hmB t v) :=
stronglyMeasurable_condExp.measurable.mono (filtration B hmB |>.le t) le_rfl
theorem posterior_relabel_ae {theta : ℝ}
{μ : Measure (TreeVertex d → IsingSpin)} (hμ : HasFreeIsingLaw theta μ)
(ν : Measure A) [IsProbabilityMeasure ν]
(B : ℝ≥0 → A → ℝ) (hmB : ∀ t, Measurable (B t))
(g : TreeAut d) (t : ℝ≥0) (v : TreeVertex d) :
posterior (μ.prod (Measure.infinitePi (fun _ : TreeVertex d => ν))) B hmB t v ∘
plantedRelabel g =ᵐ[μ.prod (Measure.infinitePi (fun _ : TreeVertex d => ν))]
posterior (μ.prod (Measure.infinitePi (fun _ : TreeVertex d => ν))) B hmB t
(g.toEquiv.symm v) := by
let := hμ.isProbabilityMeasure
exact condExp_comp_measurePreserving_equiv (filtration B hmB |>.le t)
(plantedRelabel g) (measurePreserving_plantedRelabel hμ ν g)
(measurable_plantedRelabel_filtration B hmB g t)
(measurable_plantedRelabel_symm_filtration B hmB g t)
(integrable_spin_coordinate _ v)
theorem posterior_version_relabel_ae {theta : ℝ}
{μ : Measure (TreeVertex d → IsingSpin)} (hμ : HasFreeIsingLaw theta μ)
(ν : Measure A) [IsProbabilityMeasure ν]
(B : ℝ≥0 → A → ℝ) (hmB : ∀ t, Measurable (B t))
{m : ℝ≥0 → TreeVertex d →
((TreeVertex d → IsingSpin) × (TreeVertex d → A)) → ℝ}
(hversion : ∀ t v, m t v =ᵐ[μ.prod (Measure.infinitePi (fun _ : TreeVertex d => ν))]
posterior (μ.prod (Measure.infinitePi (fun _ : TreeVertex d => ν))) B hmB t v)
(g : TreeAut d) (t : ℝ≥0) (v : TreeVertex d) :
m t v ∘ plantedRelabel g =ᵐ[μ.prod (Measure.infinitePi (fun _ : TreeVertex d => ν))]
m t (g.toEquiv.symm v) := by
exact ((measurePreserving_plantedRelabel hμ ν g).quasiMeasurePreserving.ae_eq_comp
(hversion t v)).trans ((posterior_relabel_ae hμ ν B hmB g t v).trans
(hversion t (g.toEquiv.symm v)).symm)
theorem posterior_version_array_relabel_ae {theta : ℝ}
{μ : Measure (TreeVertex d → IsingSpin)} (hμ : HasFreeIsingLaw theta μ)
(ν : Measure A) [IsProbabilityMeasure ν]
(B : ℝ≥0 → A → ℝ) (hmB : ∀ t, Measurable (B t))
{m : ℝ≥0 → TreeVertex d →
((TreeVertex d → IsingSpin) × (TreeVertex d → A)) → ℝ}
(hversion : ∀ t v, m t v =ᵐ[μ.prod (Measure.infinitePi (fun _ : TreeVertex d => ν))]
posterior (μ.prod (Measure.infinitePi (fun _ : TreeVertex d => ν))) B hmB t v)
(g : TreeAut d) (t : ℝ≥0) :
(fun q v => m t v (plantedRelabel g q))
=ᵐ[μ.prod (Measure.infinitePi (fun _ : TreeVertex d => ν))]
(fun q => relabel g (fun v => m t v q)) := by
filter_upwards [ae_all_iff.mpr
(fun v => posterior_version_relabel_ae hμ ν B hmB hversion g t v)] with q hq
exact funext hq
theorem posterior_primitive_relabel_ae {theta : ℝ}
{μ : Measure (TreeVertex d → IsingSpin)} (hμ : HasFreeIsingLaw theta μ)
(ν : Measure A) [IsProbabilityMeasure ν]
(B : ℝ≥0 → A → ℝ) (hmB : ∀ t, Measurable (B t))
{m : ℝ≥0 → TreeVertex d →
((TreeVertex d → IsingSpin) × (TreeVertex d → A)) → ℝ}
(hm : ∀ v, Measurable (fun p : ℝ≥0 ×
((TreeVertex d → IsingSpin) × (TreeVertex d → A)) => m p.1 v p.2))
(hversion : ∀ t v, m t v =ᵐ[μ.prod (Measure.infinitePi (fun _ : TreeVertex d => ν))]
posterior (μ.prod (Measure.infinitePi (fun _ : TreeVertex d => ν))) B hmB t v)
(g : TreeAut d) :
∀ᵐ q ∂μ.prod (Measure.infinitePi (fun _ : TreeVertex d => ν)), ∀ v t,
nnrealTimePrimitive (fun u => m u v) t (plantedRelabel g q) =
nnrealTimePrimitive (fun u => m u (g.toEquiv.symm v)) t q := by
let := hμ.isProbabilityMeasure
apply ae_all_iff.mpr
intro v
have hleft : Measurable (fun p : ℝ≥0 ×
((TreeVertex d → IsingSpin) × (TreeVertex d → A)) =>
m p.1 v (plantedRelabel g p.2)) :=
(hm v).comp (measurable_fst.prodMk ((plantedRelabel g).measurable.comp measurable_snd))
exact ae_all_nnrealTimePrimitive_eq_of_version _ hleft (hm (g.toEquiv.symm v))
(fun t => posterior_version_relabel_ae hμ ν B hmB hversion g t v)
theorem innovation_array_relabel_ae {theta : ℝ}
{μ : Measure (TreeVertex d → IsingSpin)} (hμ : HasFreeIsingLaw theta μ)
(ν : Measure A) [IsProbabilityMeasure ν]
(B : ℝ≥0 → A → ℝ) (hmB : ∀ t, Measurable (B t))
{m : ℝ≥0 → TreeVertex d →
((TreeVertex d → IsingSpin) × (TreeVertex d → A)) → ℝ}
(hm : ∀ v, Measurable (fun p : ℝ≥0 ×
((TreeVertex d → IsingSpin) × (TreeVertex d → A)) => m p.1 v p.2))
(hversion : ∀ t v, m t v =ᵐ[μ.prod (Measure.infinitePi (fun _ : TreeVertex d => ν))]
posterior (μ.prod (Measure.infinitePi (fun _ : TreeVertex d => ν))) B hmB t v)
(g : TreeAut d) :
∀ᵐ q ∂μ.prod (Measure.infinitePi (fun _ : TreeVertex d => ν)),
(fun v t => plantedArrayObservation (fun _ : TreeVertex d => B) spinArray
v t (plantedRelabel g q) -
nnrealTimePrimitive (fun u => m u v) t (plantedRelabel g q)) =
relabel g (fun v t => plantedArrayObservation (fun _ : TreeVertex d => B) spinArray
v t q - nnrealTimePrimitive (fun u => m u v) t q) := by
filter_upwards [posterior_primitive_relabel_ae hμ ν B hmB hm hversion g] with q hq
funext v t
rw [hq v t]
rfl
end ArrayPosteriorStationarity
end Problem367
end
end OAI