Associativity Against a Simple Predictable Integrand
ProvedLevyStochCalc.Brownian.Ito.stochasticIntegralBrownian_integralAgainst_readableLet be a Brownian motion with Brownian filtration, let be a simple predictable integrand with adapted strongly measurable coefficients, and let be jointly measurable, progressively measurable, and of finite squared ENNReal energy on every positive time interval. Assume also that the product is jointly measurable, progressively measurable, and has finite squared energy on every positive time interval.
For every ,
This is the associativity law between an elementary integral against the Itô integral and the Itô integral of the product. The strict positivity assumption on is part of the statement.
Original Lean declaration header
Within namespace LevyStochCalc.Brownian.Ito. Shown in its original module context. Proof omitted.
theorem stochasticIntegralBrownian_integralAgainst {t : ℝ} (ht : 0 < t) :
G.integralAgainst (stochasticIntegralBrownian W ℱ hℱ H hm hp hq) t
=ᵐ[P] stochasticIntegralBrownian W ℱ hℱ (fun ω s => G.eval s ω * H ω s)
hmm hmp hmq t
Module navigation
Module: LevyStochCalc/Brownian/ItoAlgebraAssociativity.
Definition modules: LevyStochCalc/Brownian/ItoL2CompletionMaster, LevyStochCalc/Brownian/ItoSimpleIntegrand, LevyStochCalc/Brownian/Filtered, LevyStochCalc/Brownian/ItoAlgebraProduct, LevyStochCalc/Brownian/Construction, LevyStochCalc/Probability/Progressive.
Supporting theorems: SimplePredictable.exists_mul_simple, SimplePredictable.lintegral_eval_sq_lt_top, stochasticIntegralBrownian_eval_simple.
Next: stepIoc_eval.
Source excerpt, lines 58–61 · Frozen source 408915f.
import Definitions.Def_KLSModular_LevyStochCalc_Brownian_ItoAlgebraAssociativity
/-
Copyright (c) 2026 Christian Garry. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Christian Garry
-/
-- Modified 2026-10-12 by the KLS formalization project: ported to Lean v4.33.0 and
-- Mathlib db584cd. The changes are listed in vendor/README.md and vendor/port.patch.
-- Vendored from https://github.com/cgarryZA/LevyStochCalc at commit 984dbf0b790031eac05d56fe5a84b65e15e1e932 (upstream path LevyStochCalc/Brownian/ItoAlgebraAssociativity.lean; Apache-2.0; locally patched, see formalization/vendor/port.patch; 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)
{T₀ : ℝ} (G : LevyStochCalc.Brownian.Ito.SimplePredictable Ω T₀)
(h_adapt : ∀ i : Fin G.N, @MeasureTheory.StronglyMeasurable Ω ℝ _
(ℱ (G.partition i.castSucc)) (G.ξ i))
(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 < ⊤)
(hmm : Measurable (Function.uncurry fun ω s => G.eval s ω * H ω s))
(hmp : LevyStochCalc.Probability.ProgressivelyMeasurable ℱ fun ω s => G.eval s ω * H ω s)
(hmq : ∀ T, 0 < T → ∫⁻ ω, ∫⁻ s in Set.Icc (0 : ℝ) T,
(‖G.eval s ω * H ω s‖₊ : ℝ≥0∞) ^ 2 ∂MeasureTheory.MeasureSpace.volume ∂P < ⊤)
include hℱ h_adapt
theorem LevyStochCalc.Brownian.Ito.stochasticIntegralBrownian_integralAgainst_readable {t : ℝ} (ht : 0 < t) :
G.integralAgainst (stochasticIntegralBrownian W ℱ hℱ H hm hp hq) t
=ᵐ[P] stochasticIntegralBrownian W ℱ hℱ (fun ω s => G.eval s ω * H ω s)
hmm hmp hmq t := by sorry