roseking's picture
Add lean source and binary files (part 122)
b317718 verified
Raw History Blame Contribute Delete
3.1 kB
import OAI.Probability.FreeIsing.Martingales.ContinuousL2Limit
namespace OAI
noncomputable section
open MeasureTheory Filter Set
open scoped NNReal Topology
namespace Problem367.MartingaleSquareMaximal
variable {Ω ι : Type*} [mΩ : MeasurableSpace Ω] [Preorder ι]
{μ : Measure Ω} [IsFiniteMeasure μ] {F : Filtration ι mΩ}
theorem condExp_ae_eq_of_L2_limits {M : ℕ → ι → Ω → ℝ}
(hM : ∀ n, Martingale (M n) F μ)
(h2 : ∀ n t, MemLp (M n t) 2 μ)
{s t : ι} (hst : s ≤ t) {X Y : Ω → ℝ}
(hX : MemLp X 2 μ) (hY : MemLp Y 2 μ)
(hs : Tendsto (fun n => (h2 n s).toLp (M n s)) atTop (𝓝 (hX.toLp X)))
(ht : Tendsto (fun n => (h2 n t).toLp (M n t)) atTop (𝓝 (hY.toLp Y))) :
μ[Y | F s] =ᵐ[μ] X := by
let C := condExpL2 ℝ ℝ (F.le s) (μ := μ)
have hC : Continuous (fun f : Lp ℝ 2 μ => (C f : Lp ℝ 2 μ)) :=
continuous_subtype_val.comp C.continuous
have heq (n : ℕ) : (C ((h2 n t).toLp (M n t)) : Lp ℝ 2 μ) =
(h2 n s).toLp (M n s) := by
apply Lp.ext
exact ((h2 n t).condExpL2_ae_eq_condExp (𝕜 := ℝ) (F.le s)).trans
(((hM n).condExp_ae_eq hst).trans (h2 n s).coeFn_toLp.symm)
have hclass : (C (hY.toLp Y) : Lp ℝ 2 μ) = hX.toLp X := by
apply tendsto_nhds_unique ((hC.tendsto _).comp ht)
convert hs using 1
funext n
exact heq n
have hae : (C (hY.toLp Y) : Ω → ℝ) =ᵐ[μ] X := by
change ((C (hY.toLp Y) : Lp ℝ 2 μ) : Ω → ℝ) =ᵐ[μ] X
rw [hclass]
exact hX.coeFn_toLp
exact (hY.condExpL2_ae_eq_condExp (𝕜 := ℝ) (F.le s)).symm.trans hae
theorem martingale_of_L2_limits {M : ℕ → ι → Ω → ℝ} {L : ι → Ω → ℝ}
(hM : ∀ n, Martingale (M n) F μ) (h2 : ∀ n t, MemLp (M n t) 2 μ)
(hL : StronglyAdapted F L) (hL2 : ∀ t, MemLp (L t) 2 μ)
(hlim : ∀ t, Tendsto (fun n => (h2 n t).toLp (M n t)) atTop
(𝓝 ((hL2 t).toLp (L t)))) : Martingale L F μ := by
refine ⟨hL, fun s t hst => ?_⟩
exact condExp_ae_eq_of_L2_limits hM h2 hst (hL2 s) (hL2 t) (hlim s) (hlim t)
theorem exists_predictable_continuous_L2_limit_condExp
{F : Filtration ℝ≥0 mΩ} {M : ℕ → ℝ≥0 → Ω → ℝ}
(hM : ∀ n, Martingale (M n) F μ)
(h2 : ∀ n t, MemLp (M n t) 2 μ)
(hc : ∀ n, ∀ᵐ ω ∂μ, Continuous (fun t => M n t ω)) (T : ℝ≥0)
(hC : CauchySeq (fun n => (h2 n T).toLp (M n T))) :
∃ L : ℝ≥0 → Ω → ℝ, IsStronglyPredictable F L ∧
(∀ᵐ ω ∂μ, ContinuousOn (fun t => L t ω) (Iic T)) ∧
(∀ t ≤ T, ∃ hL2 : MemLp (L t) 2 μ,
Tendsto (fun n => (h2 n t).toLp (M n t)) atTop (𝓝 (hL2.toLp (L t)))) ∧
∀ s t, s ≤ t → t ≤ T → μ[L t | F s] =ᵐ[μ] L s := by
obtain ⟨L, hpred, hc, hlim⟩ := exists_predictable_continuous_L2_limit hM h2 hc T hC
refine ⟨L, hpred, hc, hlim, fun s t hst ht => ?_⟩
obtain ⟨hLs, hs⟩ := hlim s (hst.trans ht)
obtain ⟨hLt, ht'⟩ := hlim t ht
exact condExp_ae_eq_of_L2_limits hM h2 hst hLs hLt hs ht'
end Problem367.MartingaleSquareMaximal
end
end OAI