Continuous Modification of a Bounded-Integrand Itô Integral
ProvedLevyStochCalc.Brownian.Ito.exists_continuous_modification_stochasticIntegralBrownian_readableThis theorem gives a continuous modification of the real Itô integral driven by Brownian motion. Let be a Brownian motion with filtration , let be measurable and progressively measurable, and assume its squared norm has finite ENNReal integral on every interval with . If for all and , then there exists such that
and for every , equals the stochastic integral of up to time almost surely. The result uses the fourth-moment Kolmogorov condition with exponents .
Original Lean declaration header
Within namespace LevyStochCalc.Brownian.Ito. Shown in its original module context. Proof omitted.
theorem exists_continuous_modification_stochasticIntegralBrownian :
∃ Y : ℝ → Ω → ℝ,
(∀ᵐ ω ∂P, Continuous fun t => Y t ω)
∧ ∀ t : ℝ, 0 ≤ t →
Y t =ᵐ[P] stochasticIntegralBrownian W ℱ hℱ H hm hp hq t
Module navigation
Module: LevyStochCalc/Brownian/ItoQuadVarSum.
Definition modules: LevyStochCalc/Brownian/ItoL2CompletionMaster, LevyStochCalc/Brownian/Filtered, LevyStochCalc/Brownian/Construction, LevyStochCalc/Probability/Progressive.
Supporting theorems: kolmogorovChentsov_modification, lintegral_stochasticIntegralBrownian_sub_pow_four_le.
Previous: integral_sq_quadVarIncrement_le.
Source excerpt, lines 523–527 · Frozen source 408915f.
import Definitions.Def_KLSModular_LevyStochCalc_Brownian_ItoQuadVarSum
/-
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/Brownian/ItoQuadVarSum.lean; Apache-2.0; provenance in formalization/vendor/vendor-lock.json of the KLS repository)
open scoped NNReal ENNReal
universe u
variable {Ω : Type u} [MeasurableSpace Ω]
variable {P : MeasureTheory.Measure Ω} [MeasureTheory.IsProbabilityMeasure P] (W : LevyStochCalc.Brownian.BrownianMotion P)
(ℱ : MeasureTheory.Filtration ℝ ‹MeasurableSpace Ω›) (hℱ : LevyStochCalc.Brownian.IsBrownianFiltration W ℱ)
(H : Ω → ℝ → ℝ) (hm : Measurable (Function.uncurry H))
(hp : LevyStochCalc.Probability.ProgressivelyMeasurable ℱ H)
(hq : ∀ T, 0 < T → ∫⁻ ω, ∫⁻ s in Set.Icc (0 : ℝ) T,
(‖H ω s‖₊ : ℝ≥0∞) ^ 2 ∂MeasureTheory.MeasureSpace.volume ∂P < ⊤)
{C : ℝ} (hC0 : 0 ≤ C) (hCH : ∀ ω s, |H ω s| ≤ C)
include hℱ hC0 hCH
theorem LevyStochCalc.Brownian.Ito.exists_continuous_modification_stochasticIntegralBrownian_readable :
∃ Y : ℝ → Ω → ℝ,
(∀ᵐ ω ∂P, Continuous fun t => Y t ω)
∧ ∀ t : ℝ, 0 ≤ t →
Y t =ᵐ[P] stochasticIntegralBrownian W ℱ hℱ H hm hp hq t := by sorry