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Existence of a Continuous Adapted Vector Itô Version

Proved
LevyStochCalc.Brownian.Ito.exists_isVectorItoVersion_of_unbounded_readable

by Lazyfill · Oct 26, 2026 · Mathlib 0df444a (Lean v4.33.1)

functional-inequalitieskls-conjecturekls-modularkls-readablelog-concavevendored-levystochcalc

This asserts existence of a continuous adapted version of a vector Itô process with unbounded coefficients.

Let PPP be a probability measure, WWW a ddd-dimensional Brownian motion, and F\mathcal FF a filtration such that: (1) every Brownian coordinate has the required Brownian filtration; (2) F0≤Ft\mathcal F_0\le\mathcal F_tF0​≤Ft​ whenever t≤0t\le0t≤0; and (3) every measurable PPP-null set is measurable in F0\mathcal F_0F0​. Let HHH be measurable and progressively measurable, with squared coefficient energy strictly below ⊤\top⊤ on every positive window. Let X0:Ω→RnX_0:\Omega\to\mathbb R^nX0​:Ω→Rn be F0\mathcal F_0F0​-measurable, and let the drift bbb be measurable and progressively measurable with finite squared energy on every positive window.

Then there exists X:R→Ω→RnX:\mathbb R\to\Omega\to\mathbb R^nX:R→Ω→Rn such that

X is a continuous adapted version of the vector Itoˆ process driven by (H,b),X\text{ is a continuous adapted version of the vector Itô process driven by }(H,b),X is a continuous adapted version of the vector Itoˆ process driven by (H,b),

in the precise sense of IsVectorItoVersion. The theorem is an existence result for finite-dimensional vector processes; it does not assert uniqueness.

Original Lean declaration header

Within namespace LevyStochCalc.Brownian.Ito. Shown in its original module context. Proof omitted.

theorem exists_isVectorItoVersion_of_unbounded
    (W : Multidim.MultidimBrownianMotion P d)
    (ℱ : Filtration ℝ ‹MeasurableSpace Ω›)
    (hcoord : ∀ k : Fin d, IsBrownianFiltration (W.W k) ℱ)
    (H : Fin n → Fin d → Ω → ℝ → ℝ)
    (hHm : ∀ p k, Measurable (Function.uncurry (H p k)))
    (hHp : ∀ p k, Probability.ProgressivelyMeasurable ℱ (H p k))
    (hHs : ∀ (p : Fin n) (k : Fin d) (T : ℝ), 0 < T → ∫⁻ ω, ∫⁻ s in Set.Icc (0 : ℝ) T,
      (‖H p k ω s‖₊ : ℝ≥0∞) ^ 2 ∂volume ∂P < ⊤)
    (hℱ0 : ∀ t : ℝ, t ≤ 0 → ℱ 0 ≤ ℱ t)
    (hnull : ∀ s : Set Ω, MeasurableSet s → P s = 0 → MeasurableSet[ℱ 0] s)
    {X₀ : Ω → Fin n → ℝ} (hX₀ : ∀ p : Fin n, Measurable[ℱ 0] fun ω => X₀ ω p)
    (bdrift : Fin n → Ω → ℝ → ℝ) (hbm : ∀ p, Measurable (Function.uncurry (bdrift p)))
    (hbp : ∀ p, Probability.ProgressivelyMeasurable ℱ (bdrift p))
    (hbq : ∀ (p : Fin n) (T : ℝ), 0 < T → ∫⁻ ω, ∫⁻ s in Set.Icc (0 : ℝ) T,
      (‖bdrift p ω s‖₊ : ℝ≥0∞) ^ 2 ∂volume ∂P < ⊤) :
    ∃ X : ℝ → Ω → Fin n → ℝ,
      IsVectorItoVersion W ℱ hcoord H hHm hHp hHs X₀ bdrift X

Module navigation

Module: LevyStochCalc/Ito/VectorItoVersionLimit.

Definition modules: LevyStochCalc/Brownian/Filtered, LevyStochCalc/Brownian/Multidim, LevyStochCalc/Probability/Progressive, LevyStochCalc/Brownian/VectorItoProcessVersion.

Selected supporting theorems: clampMesh_mono_window, exists_isVectorItoVersion, exists_seq_clampMesh_window_lt, le_add_inv_mul_sq, lintegral_iSup_sq_norm_clamp_version_sub_le.

Previous: vectorItoProcess_ae_eq_zero.

Source excerpt, lines 190–207 · Frozen source 408915f.

Preamble
import Definitions.Def_KLSModular_LevyStochCalc_Ito_VectorItoVersionLimit

/-
Copyright (c) 2026 Christian Garry. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Christian Garry
-/
-- Vendored from https://github.com/cgarryZA/LevyStochCalc at commit 984dbf0b790031eac05d56fe5a84b65e15e1e932 (upstream path LevyStochCalc/Ito/VectorItoVersionLimit.lean; Apache-2.0; provenance in formalization/vendor/vendor-lock.json of the KLS repository)
open MeasureTheory ProbabilityTheory LevyStochCalc.Probability
open scoped NNReal ENNReal Topology
universe u
variable {Ω : Type u} [MeasurableSpace Ω] {P : MeasureTheory.Measure Ω} [MeasureTheory.IsProbabilityMeasure P] {n d : ℕ}
Formal statement

theorem LevyStochCalc.Brownian.Ito.exists_isVectorItoVersion_of_unbounded_readable
    (W : Multidim.MultidimBrownianMotion P d)
    (ℱ : Filtration ℝ ‹MeasurableSpace Ω›)
    (hcoord : ∀ k : Fin d, IsBrownianFiltration (W.W k) ℱ)
    (H : Fin n → Fin d → Ω → ℝ → ℝ)
    (hHm : ∀ p k, Measurable (Function.uncurry (H p k)))
    (hHp : ∀ p k, Probability.ProgressivelyMeasurable ℱ (H p k))
    (hHs : ∀ (p : Fin n) (k : Fin d) (T : ℝ), 0 < T → ∫⁻ ω, ∫⁻ s in Set.Icc (0 : ℝ) T,
      (‖H p k ω s‖₊ : ℝ≥0∞) ^ 2 ∂volume ∂P < ⊤)
    (hℱ0 : ∀ t : ℝ, t ≤ 0 → ℱ 0 ≤ ℱ t)
    (hnull : ∀ s : Set Ω, MeasurableSet s → P s = 0 → MeasurableSet[ℱ 0] s)
    {X₀ : Ω → Fin n → ℝ} (hX₀ : ∀ p : Fin n, Measurable[ℱ 0] fun ω => X₀ ω p)
    (bdrift : Fin n → Ω → ℝ → ℝ) (hbm : ∀ p, Measurable (Function.uncurry (bdrift p)))
    (hbp : ∀ p, Probability.ProgressivelyMeasurable ℱ (bdrift p))
    (hbq : ∀ (p : Fin n) (T : ℝ), 0 < T → ∫⁻ ω, ∫⁻ s in Set.Icc (0 : ℝ) T,
      (‖bdrift p ω s‖₊ : ℝ≥0∞) ^ 2 ∂volume ∂P < ⊤) :
    ∃ X : ℝ → Ω → Fin n → ℝ,
      IsVectorItoVersion W ℱ hcoord H hHm hHp hHs X₀ bdrift X := by sorry
Source
Lean source: https://github.com/cgarryZA/LevyStochCalc/blob/984dbf0b790031eac05d56fe5a84b65e15e1e932/LevyStochCalc/Ito/VectorItoVersionLimit.lean#L187-L516 (repository human-ai-mathematics/kls-lean, commit 408915f, module `LevyStochCalc.Ito.VectorItoVersionLimit`, declaration `LevyStochCalc.Brownian.Ito.exists_isVectorItoVersion_of_unbounded`; the repository is private at upload time). Vendored from https://github.com/cgarryZA/LevyStochCalc at commit 984dbf0b790031eac05d56fe5a84b65e15e1e932 (Apache-2.0; upstream copyright notice retained in the Lean text).

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