import OAI.Probability.FreeIsing.Brownian.UniformIntegral import OAI.Probability.FreeIsing.Factors.ContinuousRecovery import OAI.Probability.FreeIsing.Spectral.KoopmanInvolutions namespace OAI noncomputable section open MeasureTheory ProbabilityTheory Filter open scoped NNReal Topology namespace Problem367.BrownianGrid theorem uniformSum_stronglyMeasurable_terminal {Ω : Type*} [mΩ : MeasurableSpace Ω] {B : ℝ≥0 → Ω → ℝ} (hm : ∀ t, StronglyMeasurable (B t)) (H : ℝ≥0 → Ω → ℝ) (hH : StronglyAdapted (Filtration.natural B hm) H) (T : ℝ≥0) (n : ℕ) : StronglyMeasurable[Filtration.natural B hm T] (uniformSum B H T n) := by by_cases hn : n = 0 · subst n have hz : uniformSum B H T 0 = fun _ : Ω => (0 : ℝ) := by funext ω simp [uniformSum, integralSum] rw [hz] exact stronglyMeasurable_const have hn0 : 0 < n := Nat.pos_of_ne_zero hn unfold uniformSum integralSum apply Finset.stronglyMeasurable_fun_sum intro i hi have hi0 : i ≤ n := (Finset.mem_range.mp hi).le have hi1 : i + 1 ≤ n := Finset.mem_range.mp hi have hti := uniformGrid_le_horizon T hn0 hi0 have hti1 := uniformGrid_le_horizon T hn0 hi1 exact ((hH _).mono ((Filtration.natural B hm).mono hti)).mul (((Filtration.stronglyAdapted_natural hm _).mono ((Filtration.natural B hm).mono hti1)).sub ((Filtration.stronglyAdapted_natural hm _).mono ((Filtration.natural B hm).mono hti))) theorem integral_integralSum_eq_zero {Ω : Type*} [mΩ : MeasurableSpace Ω] {P : Measure Ω} {B : ℝ≥0 → Ω → ℝ} (hB : IsPreBrownianReal B P) (hm : ∀ t, StronglyMeasurable (B t)) (t : ℕ → ℝ≥0) (ht : Monotone t) (H : ℕ → Ω → ℝ) (hH : ∀ i, StronglyMeasurable[Filtration.natural B hm (t i)] (H i)) (hH2 : ∀ i, MemLp (H i) 2 P) (n : ℕ) : (∫ ω, integralSum B t H n ω ∂P) = 0 := by let : IsProbabilityMeasure P := hB.isGaussianProcess.isProbabilityMeasure have hD2 (i : ℕ) : MemLp (fun ω => B (t (i + 1)) ω - B (t i) ω) 2 P := (hB.isGaussianProcess.hasGaussianLaw_eval _).memLp_two.sub (hB.isGaussianProcess.hasGaussianLaw_eval _).memLp_two have hint (i : ℕ) : Integrable (fun ω => H i ω * (B (t (i + 1)) ω - B (t i) ω)) P := (hH2 i).integrable_mul (hD2 i) unfold integralSum rw [integral_finsetSum _ (fun i _ => hint i)] apply Finset.sum_eq_zero intro i hi exact SimpleIntegral.integral_mul_eq_zero_of_condExp_eq_zero ((Filtration.natural B hm).le _) (hH i) ((hD2 i).integrable (by norm_num)) (hint i) (preBrownian_increment_condExp_zero hB hm (ht (Nat.le_succ i))) theorem integral_sq_error_tendsto_of_Lp_tendsto {Ω : Type*} [mΩ : MeasurableSpace Ω] {P : Measure Ω} {B : ℝ≥0 → Ω → ℝ} (hB : IsPreBrownianReal B P) (hm : ∀ t, StronglyMeasurable (B t)) (H : ℝ≥0 → Ω → ℝ) (hH : StronglyAdapted (Filtration.natural B hm) H) (hH2 : ∀ t, MemLp (H t) 2 P) (T : ℝ≥0) {I : Lp ℝ 2 P} (hI : Tendsto (uniformSumLp hB hm H hH hH2 T) atTop (𝓝 I)) : Tendsto (fun n => ∫ ω, (uniformSum B H T n ω - I ω) ^ 2 ∂P) atTop (𝓝 0) := by have hnorm := (hI.sub (tendsto_const_nhds (x := I))).norm.pow 2 simp only [sub_self, norm_zero, zero_pow (by norm_num : (2 : ℕ) ≠ 0)] at hnorm apply hnorm.congr' apply Filter.Eventually.of_forall intro n dsimp only rw [norm_sq_L2_eq_integral] apply integral_congr_ae filter_upwards [Lp.coeFn_sub (uniformSumLp hB hm H hH hH2 T n) I, coe_uniformSumLp hB hm H hH hH2 T n] with ω hsub hsum simp only [Pi.sub_apply] at hsub rw [hsub, hsum] theorem uniformSumLp_limit_terminal_centered {Ω : Type*} [mΩ : MeasurableSpace Ω] {P : Measure Ω} {B : ℝ≥0 → Ω → ℝ} (hB : IsPreBrownianReal B P) (hm : ∀ t, StronglyMeasurable (B t)) (H : ℝ≥0 → Ω → ℝ) (hH : StronglyAdapted (Filtration.natural B hm) H) (hH2 : ∀ t, MemLp (H t) 2 P) (T : ℝ≥0) {I : Lp ℝ 2 P} (hI : Tendsto (uniformSumLp hB hm H hH hH2 T) atTop (𝓝 I)) : AEStronglyMeasurable[Filtration.natural B hm T] (I : Ω → ℝ) P ∧ (∫ ω, I ω ∂P) = 0 := by let : IsProbabilityMeasure P := hB.isGaussianProcess.isProbabilityMeasure constructor · apply (isClosed_aestronglyMeasurable ((Filtration.natural B hm).le T)).mem_of_tendsto hI apply Filter.Eventually.of_forall intro n exact (uniformSum_stronglyMeasurable_terminal hm H hH T n).aestronglyMeasurable.congr (coe_uniformSumLp hB hm H hH hH2 T n).symm · have hinner := ((innerSL ℝ (Lp.const 2 P (1 : ℝ))).continuous.tendsto I).comp hI have hzero (n : ℕ) : inner ℝ (Lp.const 2 P (1 : ℝ)) (uniformSumLp hB hm H hH hH2 T n) = 0 := by rw [inner_const_one_eq_integral] rw [integral_congr_ae (coe_uniformSumLp hB hm H hH hH2 T n)] exact integral_integralSum_eq_zero hB hm (uniformGrid T n) (uniformGrid_mono T n) (fun i => H (uniformGrid T n i)) (fun i => hH _) (fun i => hH2 _) n change Tendsto (fun n => inner ℝ (Lp.const 2 P (1 : ℝ)) (uniformSumLp hB hm H hH hH2 T n)) atTop (𝓝 (inner ℝ (Lp.const 2 P (1 : ℝ)) I)) at hinner have heq : inner ℝ (Lp.const 2 P (1 : ℝ)) I = 0 := by apply tendsto_nhds_unique hinner simpa only [hzero] using (tendsto_const_nhds : Tendsto (fun _ : ℕ => (0 : ℝ)) atTop (𝓝 0)) simpa only [inner_const_one_eq_integral] using heq theorem exists_terminal_uniform_integral {Ω : Type*} [mΩ : MeasurableSpace Ω] {P : Measure Ω} {B : ℝ≥0 → Ω → ℝ} (hB : IsPreBrownianReal B P) (hm : ∀ t, StronglyMeasurable (B t)) (H : ℝ≥0 → Ω → ℝ) (hH : StronglyAdapted (Filtration.natural B hm) H) (hH2 : ∀ t, MemLp (H t) 2 P) (T : ℝ≥0) (hcont : ∀ ε > (0 : ℝ), ∃ δ > (0 : ℝ), ∀ s t : ℝ≥0, s ≤ t → t ≤ T → (t : ℝ) - (s : ℝ) ≤ δ → (∫ ω, (H s ω - H t ω) ^ 2 ∂P) ≤ ε) : ∃ I : Ω → ℝ, StronglyMeasurable[Filtration.natural B hm T] I ∧ MemLp I 2 P ∧ (∫ ω, I ω ∂P) = 0 ∧ Tendsto (fun n => ∫ ω, (uniformSum B H T n ω - I ω) ^ 2 ∂P) atTop (𝓝 0) := by obtain ⟨I, hI⟩ := exists_uniformSumLp_limit hB hm H hH hH2 T hcont obtain ⟨hIm, hIzero⟩ := uniformSumLp_limit_terminal_centered hB hm H hH hH2 T hI refine ⟨hIm.mk I, hIm.stronglyMeasurable_mk, ?_, ?_, ?_⟩ · exact MemLp.ae_eq hIm.ae_eq_mk (Lp.memLp I) · exact (integral_congr_ae hIm.ae_eq_mk).symm.trans hIzero · apply (integral_sq_error_tendsto_of_Lp_tendsto hB hm H hH hH2 T hI).congr' apply Filter.Eventually.of_forall intro n apply integral_congr_ae filter_upwards [hIm.ae_eq_mk] with ω hω rw [hω] theorem ae_eq_of_mean_square_limits {Ω : Type*} [MeasurableSpace Ω] {P : Measure Ω} {X : ℕ → Ω → ℝ} {I J : Ω → ℝ} (hX : ∀ n, MemLp (X n) 2 P) (hI : MemLp I 2 P) (hJ : MemLp J 2 P) (hlimI : Tendsto (fun n => ∫ ω, (X n ω - I ω) ^ 2 ∂P) atTop (𝓝 0)) (hlimJ : Tendsto (fun n => ∫ ω, (X n ω - J ω) ^ 2 ∂P) atTop (𝓝 0)) : I =ᵐ[P] J := by have hb (n : ℕ) : (∫ ω, (I ω - J ω) ^ 2 ∂P) ≤ 2 * (∫ ω, (X n ω - I ω) ^ 2 ∂P) + 2 * (∫ ω, (X n ω - J ω) ^ 2 ∂P) := by simpa only [sub_sq_comm] using integral_sq_sub_le_two hI hJ (hX n) have hz : (∫ ω, (I ω - J ω) ^ 2 ∂P) ≤ 0 := by apply le_of_tendsto_of_tendsto tendsto_const_nhds (show Tendsto (fun n => 2 * (∫ ω, (X n ω - I ω) ^ 2 ∂P) + 2 * (∫ ω, (X n ω - J ω) ^ 2 ∂P)) atTop (𝓝 0) from ?_) (Filter.Eventually.of_forall hb) simpa only [mul_zero, add_zero] using (hlimI.const_mul 2).add (hlimJ.const_mul 2) exact ae_eq_of_integral_sq_sub_eq_zero (hI.sub hJ).integrable_sq (le_antisymm hz (integral_nonneg (fun ω => sq_nonneg _))) theorem exists_terminal_uniform_integral_of_bounded_continuous {Ω : Type*} [mΩ : MeasurableSpace Ω] {P : Measure Ω} {B : ℝ≥0 → Ω → ℝ} (hB : IsPreBrownianReal B P) (hm : ∀ t, StronglyMeasurable (B t)) (H : ℝ≥0 → Ω → ℝ) (hH : StronglyAdapted (Filtration.natural B hm) H) (hc : ∀ᵐ ω ∂P, Continuous (fun t => H t ω)) {C : ℝ} (hC : 0 ≤ C) (hb : ∀ᵐ ω ∂P, ∀ t, |H t ω| ≤ C) (T : ℝ≥0) : ∃ I : Ω → ℝ, StronglyMeasurable[Filtration.natural B hm T] I ∧ MemLp I 2 P ∧ (∫ ω, I ω ∂P) = 0 ∧ Tendsto (fun n => ∫ ω, (uniformSum B H T n ω - I ω) ^ 2 ∂P) atTop (𝓝 0) := by let : IsProbabilityMeasure P := hB.isGaussianProcess.isProbabilityMeasure have hHm : ∀ t, AEStronglyMeasurable (H t) P := fun t => ((hH t).mono ((Filtration.natural B hm).le t)).aestronglyMeasurable have hH2 : ∀ t, MemLp (H t) 2 P := by intro t apply MemLp.of_bound (hHm t) C filter_upwards [hb] with ω hω simpa only [Real.norm_eq_abs] using hω t apply exists_terminal_uniform_integral hB hm H hH hH2 T intro ε hε exact MeanSquareContinuity.uniform_integral_sq_sub_le hHm hc hC hb T hε end Problem367.BrownianGrid end end OAI