import OAI.Probability.FreeIsing.Posterior.ContinuousObservationHistory namespace OAI noncomputable section open MeasureTheory ProbabilityTheory open scoped NNReal namespace Problem367.ContinuousNoiseSplit open WienerSampler ContinuousObservationHistory def futurePath (s : ℝ≥0) (f : Path) : Path := ⟨fun t => f (s + t) - f s, (f.continuous.comp (continuous_const.add continuous_id)).sub continuous_const⟩ @[simp] theorem futurePath_apply (s : ℝ≥0) (f : Path) (t : ℝ≥0) : futurePath s f t = f (s + t) - f s := rfl theorem measurable_futurePath (s : ℝ≥0) : Measurable (futurePath s) := by apply measurable_path_of_eval intro t exact (continuous_eval_const (s + t)).measurable.sub (continuous_eval_const s).measurable variable {ι : Type*} def futureArray (s : ℝ≥0) (f : ι → Path) : ι → Path := fun i => futurePath s (f i) theorem measurable_futureArray (s : ℝ≥0) : Measurable (futureArray (ι := ι) s) := Measurable.of_eval fun i => (measurable_futurePath s).comp (measurable_pi_apply i) theorem injective_split (s : ℝ≥0) : Function.Injective (fun f : ι → Path => (stoppedArray s f, futureArray s f)) := by intro f g h have hp := congrArg Prod.fst h have hf := congrArg Prod.snd h funext i apply ContinuousMap.ext intro t have hs : f i s = g i s := by have hh := congrArg (fun a : ι → Path => a i s) hp simpa only [stoppedArray, stoppedPath_apply, min_self] using hh by_cases hts : t ≤ s · have hh := congrArg (fun a : ι → Path => a i t) hp simpa only [stoppedArray, stoppedPath_apply, min_eq_left hts] using hh · have hst : s ≤ t := (lt_of_not_ge hts).le have hh := congrArg (fun a : ι → Path => a i (t - s)) hf simp only [futureArray, futurePath_apply, add_tsub_cancel_of_le hst, hs] at hh linarith theorem measurableEmbedding_split [Countable ι] (s : ℝ≥0) : MeasurableEmbedding (fun f : ι → Path => (stoppedArray s f, futureArray s f)) := ((measurable_stoppedArray s).prodMk (measurable_futureArray s)).measurableEmbedding (injective_split s) theorem indepFun_future_conditionalCopies [Countable ι] {O X : Type*} [MeasurableSpace O] [MeasurableSpace X] [StandardBorelSpace X] [Nonempty X] (s : ℝ≥0) (rho : Measure (ι → Path)) [IsProbabilityMeasure rho] (eta : Kernel (ι → Path) O) [IsMarkovKernel eta] (past : O → X) (hpast : Measurable past) (hind : IndepFun (fun q : (ι → Path) × O => (stoppedArray s q.1, past q.2)) (fun q => futureArray s q.1) (rho ⊗ₘ eta)) : IndepFun (fun q : (ι → Path) × (O × O) => (stoppedArray s q.1, (past q.2.1, past q.2.2))) (fun q => futureArray s q.1) (rho ⊗ₘ (eta ×ₖ eta)) := KernelCompatibility.indepFun_future_conditionalCopies_of_reconstructible_split rho (stoppedArray s) (measurable_stoppedArray s) (futureArray s) (measurable_futureArray s) (measurableEmbedding_split s) eta past hpast hind end Problem367.ContinuousNoiseSplit end end OAI