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6.39 kB
| import OAI.Probability.FreeIsing.Conditioning.CopyImmersion | |
| import OAI.Probability.FreeIsing.Martingales.Pushforward | |
| import OAI.Probability.FreeIsing.Stochastic.ContinuousCopyBrownian | |
| namespace OAI | |
| noncomputable section | |
| open MeasureTheory ProbabilityTheory Filter | |
| open scoped NNReal | |
| namespace Problem367.ContinuousCopyBrownian | |
| open WienerSampler ContinuousObservationHistory ContinuousNoiseSplit | |
| variable {ι : Type*} | |
| def singleHistory (s : ℝ≥0) (q : (ι → Path) × (ι → Path)) := | |
| (stoppedArray s q.1, stoppedArray s q.2) | |
| lemma measurable_singleHistory (s : ℝ≥0) : Measurable (singleHistory (ι := ι) s) := | |
| ((measurable_stoppedArray s).comp measurable_fst).prodMk | |
| ((measurable_stoppedArray s).comp measurable_snd) | |
| lemma singleHistory_singleHistory {s t : ℝ≥0} (hst : s ≤ t) | |
| (q : (ι → Path) × (ι → Path)) : singleHistory s (singleHistory t q) = singleHistory s q := by | |
| simp only [singleHistory, stoppedArray_stoppedArray hst] | |
| def singleFiltration : Filtration ℝ≥0 | |
| (inferInstance : MeasurableSpace ((ι → Path) × (ι → Path))) where | |
| seq s := MeasurableSpace.comap (singleHistory s) inferInstance | |
| mono' := by | |
| intro s t hst | |
| have h := MeasurableSpace.comap_mono (g := singleHistory (ι := ι) t) | |
| (measurable_singleHistory s).comap_le | |
| simpa only [MeasurableSpace.comap_comp, Function.comp_def, | |
| singleHistory_singleHistory hst] using h | |
| le' s := (measurable_singleHistory s).comap_le | |
| lemma measurable_noisePast_singleFiltration (s : ℝ≥0) : | |
| Measurable[singleFiltration (ι := ι) s] | |
| (fun q : (ι → Path) × (ι → Path) => stoppedArray s q.1) := | |
| measurable_fst.comp (comap_measurable (singleHistory s)) | |
| lemma joinedFiltration_eq_left (s : ℝ≥0) : | |
| joinedFiltration (ι := ι) s = | |
| (singleFiltration s).comap (fun q : Joint (ι := ι) => (q.1, q.2.1)) ⊔ | |
| MeasurableSpace.comap (fun q : Joint (ι := ι) => stoppedArray s q.2.2) inferInstance := by | |
| change MeasurableSpace.comap | |
| (fun q : Joint (ι := ι) => | |
| (stoppedArray s q.1, (stoppedArray s q.2.1, stoppedArray s q.2.2))) | |
| ((inferInstance : MeasurableSpace (ι → Path)).prod | |
| ((inferInstance : MeasurableSpace (ι → Path)).prod | |
| (inferInstance : MeasurableSpace (ι → Path)))) = _ | |
| simp only [singleFiltration, singleHistory, MeasurableSpace.comap_comp, | |
| Function.comp_def] | |
| change MeasurableSpace.comap | |
| (fun q : Joint (ι := ι) => | |
| (stoppedArray s q.1, (stoppedArray s q.2.1, stoppedArray s q.2.2))) | |
| ((inferInstance : MeasurableSpace (ι → Path)).prod | |
| ((inferInstance : MeasurableSpace (ι → Path)).prod | |
| (inferInstance : MeasurableSpace (ι → Path)))) = | |
| MeasurableSpace.comap | |
| (fun q : Joint (ι := ι) => (stoppedArray s q.1, stoppedArray s q.2.1)) | |
| ((inferInstance : MeasurableSpace (ι → Path)).prod | |
| (inferInstance : MeasurableSpace (ι → Path))) ⊔ | |
| MeasurableSpace.comap (fun q : Joint (ι := ι) => stoppedArray s q.2.2) inferInstance | |
| rw [MeasurableSpace.comap_prodMk, MeasurableSpace.comap_prodMk, | |
| MeasurableSpace.comap_prodMk, sup_assoc] | |
| theorem exists_past_kernel [Countable ι] | |
| (ρ : Measure (ι → Path)) [IsProbabilityMeasure ρ] | |
| (η : Kernel (ι → Path) (ι → Path)) [IsMarkovKernel η] (s : ℝ≥0) | |
| (hind : IndepFun (singleHistory s) | |
| (fun q : (ι → Path) × (ι → Path) => futureArray s q.1) (ρ ⊗ₘ η)) : | |
| ∃ κ : Kernel (ι → Path) (ι → Path), IsMarkovKernel κ ∧ | |
| (fun w => (η.map (stoppedArray s)) w) =ᵐ[ρ] | |
| fun w => κ (stoppedArray s w) := | |
| ConditionalCopyImmersion.exists_past_kernel_of_reconstructible_split ρ | |
| (stoppedArray s) (measurable_stoppedArray s) | |
| (futureArray s) (measurable_futureArray s) (measurableEmbedding_split s) | |
| η (stoppedArray s) (measurable_stoppedArray s) hind | |
| theorem martingale_left_of_future_indep [Countable ι] | |
| (ρ : Measure (ι → Path)) [IsProbabilityMeasure ρ] | |
| (η : Kernel (ι → Path) (ι → Path)) [IsMarkovKernel η] | |
| (hind : ∀ s, IndepFun (singleHistory s) | |
| (fun q : (ι → Path) × (ι → Path) => futureArray s q.1) (ρ ⊗ₘ η)) | |
| {M : ℝ≥0 → (ι → Path) × (ι → Path) → ℝ} | |
| (hM : Martingale M singleFiltration (ρ ⊗ₘ η)) : | |
| Martingale (fun t (q : Joint (ι := ι)) => M t (q.1, q.2.1)) | |
| joinedFiltration (ρ ⊗ₘ (η ×ₖ η)) := by | |
| exact ConditionalCopyImmersion.martingale_left ρ η | |
| stoppedArray measurable_stoppedArray stoppedArray measurable_stoppedArray | |
| singleFiltration joinedFiltration joinedFiltration_eq_left | |
| measurable_noisePast_singleFiltration | |
| (fun s => exists_past_kernel ρ η s (hind s)) hM | |
| lemma measurable_swap_joinedFiltration (s : ℝ≥0) : | |
| Measurable[joinedFiltration (ι := ι) s, joinedFiltration s] | |
| (fun q : Joint (ι := ι) => (q.1, (q.2.2, q.2.1))) := by | |
| apply Measurable.of_comap_le | |
| change (MeasurableSpace.comap (history s) | |
| (inferInstance : MeasurableSpace (Joint (ι := ι)))).comap | |
| (fun q : Joint (ι := ι) => (q.1, (q.2.2, q.2.1))) ≤ _ | |
| rw [MeasurableSpace.comap_comp] | |
| have hh : Measurable[joinedFiltration (ι := ι) s] (history s) := comap_measurable _ | |
| have hm := (measurable_fst.comp hh).prodMk | |
| (((measurable_snd.comp measurable_snd).comp hh).prodMk | |
| ((measurable_fst.comp measurable_snd).comp hh)) | |
| exact hm.comap_le | |
| theorem martingale_right_of_future_indep [Countable ι] | |
| (ρ : Measure (ι → Path)) [IsProbabilityMeasure ρ] | |
| (η : Kernel (ι → Path) (ι → Path)) [IsMarkovKernel η] | |
| (hind : ∀ s, IndepFun (singleHistory s) | |
| (fun q : (ι → Path) × (ι → Path) => futureArray s q.1) (ρ ⊗ₘ η)) | |
| {M : ℝ≥0 → (ι → Path) × (ι → Path) → ℝ} | |
| (hM : Martingale M singleFiltration (ρ ⊗ₘ η)) : | |
| Martingale (fun t (q : Joint (ι := ι)) => M t (q.1, q.2.2)) | |
| joinedFiltration (ρ ⊗ₘ (η ×ₖ η)) := by | |
| have hl := martingale_left_of_future_indep ρ η hind hM | |
| apply MartingalePushforward.martingale_of_pullback | |
| (ConditionalCopyImmersion.swap_measurePreserving ρ η) | |
| (F := joinedFiltration) (G := joinedFiltration) | |
| (fun t => (measurable_swap_joinedFiltration t).comap_le) | |
| (fun t => (hl.stronglyAdapted t).comp_measurable (measurable_swap_joinedFiltration t)) | |
| exact hl | |
| end Problem367.ContinuousCopyBrownian | |
| end | |
| end OAI | |