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f61e547 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 | import OAI.Probability.FreeIsing.Brownian.FiltrationIntegralProperties
import OAI.Probability.FreeIsing.Stochastic.StoppedBrownianIntegral
namespace OAI
noncomputable section
open MeasureTheory ProbabilityTheory Filter
open scoped NNReal Topology
namespace Problem367.BrownianIntegralProcess
variable {Ω : Type*} [mΩ : MeasurableSpace Ω] {P : Measure Ω}
theorem meanSquare_condExp_sub_le [IsFiniteMeasure P]
(m : MeasurableSpace Ω) {X Y : Ω → ℝ}
(hX : MemLp X 2 P) (hY : MemLp Y 2 P) :
(∫ ω, (P[X | m] ω - P[Y | m] ω) ^ 2 ∂P) ≤
∫ ω, (X ω - Y ω) ^ 2 ∂P := by
have hsub := condExp_sub (hX.integrable (by norm_num))
(hY.integrable (by norm_num)) m
calc
_ = ∫ ω, (P[X - Y | m] ω) ^ 2 ∂P := by
apply integral_congr_ae
filter_upwards [hsub] with ω hω
change P[X - Y | m] ω = P[X | m] ω - P[Y | m] ω at hω
rw [hω]
_ ≤ _ := by
have hbound := integral_norm_condExp_rpow_le (m := m)
(by norm_num : (1 : ℝ) ≤ 2)
(f := X - Y) (by
simpa only [Real.rpow_two, Real.norm_eq_abs, sq_abs, Pi.sub_apply] using
(hX.sub hY).integrable_sq)
simpa only [Real.rpow_two, Real.norm_eq_abs, sq_abs, Pi.sub_apply] using hbound
theorem finite_stoppedSum_eq_condExp [IsFiniteMeasure P]
{F : Filtration ℝ≥0 mΩ} {B : ℝ≥0 → Ω → ℝ}
(hB : Martingale B F P) (s : Finset ℕ) (a b : ℕ → ℝ≥0)
(H : ℕ → Ω → ℝ) (hab : ∀ i ∈ s, a i ≤ b i)
(hH : ∀ i ∈ s, StronglyMeasurable[F (a i)] (H i))
(C : ℕ → ℝ) (hb : ∀ i ∈ s, ∀ᵐ ω ∂P, ‖H i ω‖ ≤ C i) (t : ℝ≥0) :
P[(fun ω => ∑ i ∈ s, H i ω * (B (b i) ω - B (a i) ω)) | F t] =ᵐ[P]
fun ω => ∑ i ∈ s, StoppedSimpleIntegral.intervalSum B (H i) (a i) (b i) t ω := by
have hint (i : ℕ) (hi : i ∈ s) :
Integrable (fun ω => H i ω * (B (b i) ω - B (a i) ω)) P :=
((hB.integrable (b i)).sub (hB.integrable (a i))).bdd_mul
((hH i hi).mono (F.le (a i))).aestronglyMeasurable (hb i hi)
have hsum := condExp_finsetSum hint (F t)
have hsumFun : (∑ i ∈ s, fun ω => H i ω * (B (b i) ω - B (a i) ω)) =
(fun ω => ∑ i ∈ s, H i ω * (B (b i) ω - B (a i) ω)) := by
funext ω
simp only [Finset.sum_apply]
rw [hsumFun] at hsum
have heach : ∀ᵐ ω ∂P, ∀ i ∈ s,
P[(fun ω => H i ω * (B (b i) ω - B (a i) ω)) | F t] ω =
StoppedSimpleIntegral.intervalSum B (H i) (a i) (b i) t ω :=
s.eventually_all.mpr (fun i hi =>
StoppedSimpleIntegral.intervalSum_eq_condExp_terminal hB (hab i hi) (hH i hi) (hb i hi) t)
filter_upwards [hsum, heach] with ω hsum heach
simp only [Finset.sum_apply] at hsum
rw [hsum]
exact Finset.sum_congr rfl (fun i hi => heach i hi)
def stoppedUniformSum (B H : ℝ≥0 → Ω → ℝ) (T : ℝ≥0) (n : ℕ)
(t : ℝ≥0) (ω : Ω) : ℝ :=
∑ i ∈ Finset.range n, StoppedSimpleIntegral.intervalSum B
(H (BrownianGrid.uniformGrid T n i)) (BrownianGrid.uniformGrid T n i)
(BrownianGrid.uniformGrid T n (i + 1)) t ω
theorem stoppedUniformSum_eq_condExp
{B H : ℝ≥0 → Ω → ℝ} {F : Filtration ℝ≥0 mΩ}
(hB : IsPreBrownianReal B P) (hAd : StronglyAdapted F B)
(hind : ∀ s t, s ≤ t → Indep
(MeasurableSpace.comap (fun ω => B t ω - B s ω) inferInstance) (F s) P)
(hH : StronglyAdapted F H) {C : ℝ}
(hb : ∀ᵐ ω ∂P, ∀ t, |H t ω| ≤ C) (T : ℝ≥0) (n : ℕ) (t : ℝ≥0) :
P[BrownianGrid.uniformSum B H T n | F t] =ᵐ[P] stoppedUniformSum B H T n t := by
let : IsProbabilityMeasure P := hB.isGaussianProcess.isProbabilityMeasure
apply finite_stoppedSum_eq_condExp (BrownianFiltration.martingale_of_independent_past hB hAd hind)
(Finset.range n) (BrownianGrid.uniformGrid T n)
(fun i => BrownianGrid.uniformGrid T n (i + 1))
(fun i => H (BrownianGrid.uniformGrid T n i))
(fun i _ => BrownianGrid.uniformGrid_mono T n (Nat.le_succ i))
(fun i _ => hH _) (fun _ => C)
intro i hi
filter_upwards [hb] with ω hω
simpa only [Real.norm_eq_abs] using hω (BrownianGrid.uniformGrid T n i)
theorem exists_stopped_uniform_integral_process
{B H : ℝ≥0 → Ω → ℝ} {F : Filtration ℝ≥0 mΩ}
(hB : IsPreBrownianReal B P) (hAd : StronglyAdapted F B)
(hind : ∀ s t, s ≤ t → Indep
(MeasurableSpace.comap (fun ω => B t ω - B s ω) inferInstance) (F s) P)
(hH : StronglyAdapted F 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) :
∃ M : ℝ≥0 → Ω → ℝ, Martingale M F P ∧
(∀ t, MemLp (M t) 2 P) ∧
(∀ t, (∫ ω, M t ω ∂P) = 0) ∧
(∀ t, T ≤ t → M t = M T) ∧
(∫ ω, (M T ω) ^ 2 ∂P) =
(∫ t in (0 : ℝ)..(T : ℝ), ∫ ω, (H t.toNNReal ω) ^ 2 ∂P) ∧
(∀ t, Tendsto (fun n => ∫ ω,
(stoppedUniformSum B H T n t ω - M t ω) ^ 2 ∂P) atTop (𝓝 0)) := by
let : IsProbabilityMeasure P := hB.isGaussianProcess.isProbabilityMeasure
obtain ⟨I, hIm, hI2, hIzero, hIiso, hIlim⟩ :=
BrownianFiltrationGrid.exists_terminal_uniform_integral_isometry
hB hAd hind H hH hc hC hb T
let M : ℝ≥0 → Ω → ℝ := fun t => P[I | F t]
have hIint : Integrable I P := hI2.integrable (by norm_num)
have hafter (t : ℝ≥0) (ht : T ≤ t) : M t = I :=
condExp_of_stronglyMeasurable (F.le t) (hIm.mono (F.mono ht)) hIint
have hH2 (t : ℝ≥0) : MemLp (H t) 2 P := by
apply MemLp.of_bound ((hH t).mono (F.le t)).aestronglyMeasurable C
filter_upwards [hb] with ω hω
simpa only [Real.norm_eq_abs] using hω t
refine ⟨M, martingale_condExp I F P, ?_, ?_, ?_, ?_, ?_⟩
· intro t
exact hI2.condExp (by norm_num)
· intro t
exact (integral_condExp (F.le t)).trans hIzero
· intro t ht
exact (hafter t ht).trans (hafter T le_rfl).symm
· rw [hafter T le_rfl]
exact hIiso
· intro t
apply squeeze_zero (fun n => integral_nonneg (fun ω => sq_nonneg _)) ?_ hIlim
intro n
calc
_ = ∫ ω, (P[BrownianGrid.uniformSum B H T n | F t] ω - P[I | F t] ω) ^ 2 ∂P := by
apply integral_congr_ae
filter_upwards [stoppedUniformSum_eq_condExp hB hAd hind hH hb T n t] with ω hω
change (stoppedUniformSum B H T n t ω - P[I | F t] ω) ^ 2 = _
rw [hω]
_ ≤ _ := meanSquare_condExp_sub_le (F t)
(BrownianFiltrationGrid.uniformSum_memLp hB hAd hind H hH hH2 T n) hI2
end Problem367.BrownianIntegralProcess
end
end OAI
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