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Finite-Sum Linearity of the Brownian Itô Integral

Proved
LevyStochCalc.Brownian.Ito.exists_stochasticIntegralBrownian_finsetSum_readable

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

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

This statement gives finite-sum linearity of the Brownian Itô integral together with admissibility data for the summed integrand. Let (Ω,P)(Ω,P)(Ω,P) be a probability space, let WWW be a Brownian motion, and let FℱF be a Brownian filtration. For an index type ιιι, let Hi:Ω×R→RH_i:Ω×ℝ→ℝHi​:Ω×R→R be jointly measurable and progressively measurable for every i∈ιi∈ιi∈ι, and assume that each HiH_iHi​ has finite squared ENNReal energy on every interval [0,T][0,T][0,T] with T>0T>0T>0. Let JJJ be a finite subset of ιιι and let T>0T>0T>0.

There exist joint measurability and progressive-measurability proofs for the finite sum ∑i∈JHi\sum_{i∈J}H_i∑i∈J​Hi​, together with the corresponding finite-energy property, such that

∫(∑i∈JHi)dW=∑i∈J∫Hi dWP-almost everywhere at time T.\int \left(\sum_{i∈J}H_i\right)dW=\sum_{i∈J}\int H_i\,dW\quad P\text{-almost everywhere at time }T.∫(i∈J∑​Hi​)dW=i∈J∑​∫Hi​dWP-almost everywhere at time T.

The theorem is existential in the auxiliary admissibility proofs; it does not assert uniqueness of those proofs. It packages finite-sum linearity for later constructions.

Original Lean declaration header

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

theorem exists_stochasticIntegralBrownian_finsetSum {ι : Type*}
    (H : ι → Ω → ℝ → ℝ) (hm : ∀ i, Measurable (Function.uncurry (H i)))
    (hp : ∀ i, Probability.ProgressivelyMeasurable ℱ (H i))
    (hq : ∀ (i : ι) (T : ℝ), 0 < T → ∫⁻ ω, ∫⁻ s in Set.Icc (0 : ℝ) T,
      (‖H i ω s‖₊ : ℝ≥0∞) ^ 2 ∂volume ∂P < ⊤)
    (J : Finset ι) {T : ℝ} (hT : 0 < T) :
    ∃ (hms : Measurable (Function.uncurry fun ω u => ∑ i ∈ J, H i ω u))
      (hps : Probability.ProgressivelyMeasurable ℱ fun ω u => ∑ i ∈ J, H i ω u)
      (hqs : ∀ T', 0 < T' → ∫⁻ ω, ∫⁻ u in Set.Icc (0 : ℝ) T',
        (‖∑ i ∈ J, H i ω u‖₊ : ℝ≥0∞) ^ 2 ∂volume ∂P < ⊤),
      stochasticIntegralBrownian W ℱ hℱ (fun ω u => ∑ i ∈ J, H i ω u) hms hps hqs T
        =ᵐ[P] fun ω => ∑ i ∈ J,
          stochasticIntegralBrownian W ℱ hℱ (H i) (hm i) (hp i) (hq i) T ω

Module navigation

Module: LevyStochCalc/Brownian/ItoFinsetSum.

Definition modules: LevyStochCalc/Brownian/ItoL2CompletionMaster, LevyStochCalc/Brownian/Filtered, LevyStochCalc/Brownian/Construction, LevyStochCalc/Probability/Progressive.

Supporting theorems: lintegral_energy_lt_top_of_bound, stochasticIntegralBrownian_add, stochasticIntegralBrownian_ae_zero.

Previous: stochasticIntegralBrownian_sub.

Source excerpt, lines 124–136 · Frozen source 408915f.

Preamble
import Definitions.Def_KLSModular_LevyStochCalc_Brownian_ItoFinsetSum

/-
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/ItoFinsetSum.lean; Apache-2.0; provenance in formalization/vendor/vendor-lock.json of the KLS repository)
open MeasureTheory ProbabilityTheory
open scoped NNReal ENNReal
universe u
variable {Ω : Type u} [MeasurableSpace Ω] {P : MeasureTheory.Measure Ω} [MeasureTheory.IsProbabilityMeasure P]
variable (W : LevyStochCalc.Brownian.BrownianMotion P)
  (ℱ : MeasureTheory.Filtration ℝ ‹MeasurableSpace Ω›) (hℱ : LevyStochCalc.Brownian.IsBrownianFiltration W ℱ)
include hℱ
Formal statement

theorem LevyStochCalc.Brownian.Ito.exists_stochasticIntegralBrownian_finsetSum_readable {ι : Type*}
    (H : ι → Ω → ℝ → ℝ) (hm : ∀ i, Measurable (Function.uncurry (H i)))
    (hp : ∀ i, Probability.ProgressivelyMeasurable ℱ (H i))
    (hq : ∀ (i : ι) (T : ℝ), 0 < T → ∫⁻ ω, ∫⁻ s in Set.Icc (0 : ℝ) T,
      (‖H i ω s‖₊ : ℝ≥0∞) ^ 2 ∂volume ∂P < ⊤)
    (J : Finset ι) {T : ℝ} (hT : 0 < T) :
    ∃ (hms : Measurable (Function.uncurry fun ω u => ∑ i ∈ J, H i ω u))
      (hps : Probability.ProgressivelyMeasurable ℱ fun ω u => ∑ i ∈ J, H i ω u)
      (hqs : ∀ T', 0 < T' → ∫⁻ ω, ∫⁻ u in Set.Icc (0 : ℝ) T',
        (‖∑ i ∈ J, H i ω u‖₊ : ℝ≥0∞) ^ 2 ∂volume ∂P < ⊤),
      stochasticIntegralBrownian W ℱ hℱ (fun ω u => ∑ i ∈ J, H i ω u) hms hps hqs T
        =ᵐ[P] fun ω => ∑ i ∈ J,
          stochasticIntegralBrownian W ℱ hℱ (H i) (hm i) (hp i) (hq i) T ω := by sorry
Source
Lean source: https://github.com/cgarryZA/LevyStochCalc/blob/984dbf0b790031eac05d56fe5a84b65e15e1e932/LevyStochCalc/Brownian/ItoFinsetSum.lean#L122-L177 (repository human-ai-mathematics/kls-lean, commit 408915f, module `LevyStochCalc.Brownian.ItoFinsetSum`, declaration `LevyStochCalc.Brownian.Ito.exists_stochasticIntegralBrownian_finsetSum`; 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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