Second-Moment Bound for a Bounded Itô-Integral Increment
ProvedLevyStochCalc.Brownian.Ito.lintegral_stochasticIntegralBrownian_sub_sq_le_readableThis proves the second-moment estimate for an increment of a scalar Brownian Itô integral.
Let be a probability space, let be a Brownian motion, and let be a Brownian filtration. Let be jointly measurable and progressively measurable, with finite ENNReal energy on every positive horizon. Suppose that for some ,
for every . Let . Then
The left side is an ENNReal integral, and the right side is the ENNReal.ofReal coercion of the real quantity . This is the basic variance-type increment estimate used in subsequent moment bounds.
Original Lean declaration header
Within namespace LevyStochCalc.Brownian.Ito. Shown in its original module context. Proof omitted.
theorem lintegral_stochasticIntegralBrownian_sub_sq_le
(H : Ω → ℝ → ℝ) (hm : Measurable (Function.uncurry H))
(hp : Probability.ProgressivelyMeasurable ℱ H)
(hq : ∀ T, 0 < T → ∫⁻ ω, ∫⁻ s in Set.Icc (0 : ℝ) T,
(‖H ω s‖₊ : ℝ≥0∞) ^ 2 ∂volume ∂P < ⊤)
{C : ℝ} (hC0 : 0 ≤ C) (hCH : ∀ ω s, |H ω s| ≤ C)
{a b : ℝ} (ha : 0 ≤ a) (hab : a < b) :
∫⁻ ω, (‖stochasticIntegralBrownian W ℱ hℱ H hm hp hq b ω
- stochasticIntegralBrownian W ℱ hℱ H hm hp hq a ω‖₊ : ℝ≥0∞) ^ 2 ∂P
≤ ENNReal.ofReal (C ^ 2 * (b - a))
Module navigation
Module: LevyStochCalc/Brownian/ItoIncrementMomentBounds.
Definition modules: LevyStochCalc/Brownian/ItoL2CompletionMaster, LevyStochCalc/Brownian/Filtered, LevyStochCalc/Brownian/Construction, LevyStochCalc/Probability/Progressive.
Supporting theorems: stochasticIntegralBrownian_indicator_Ioc.
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Source excerpt, lines 292–301 · Frozen source 408915f.
import Definitions.Def_KLSModular_LevyStochCalc_Brownian_ItoIncrementMomentBounds
/-
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/ItoIncrementMomentBounds.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]
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)
include hℱ
theorem LevyStochCalc.Brownian.Ito.lintegral_stochasticIntegralBrownian_sub_sq_le_readable
(H : Ω → ℝ → ℝ) (hm : Measurable (Function.uncurry H))
(hp : Probability.ProgressivelyMeasurable ℱ H)
(hq : ∀ T, 0 < T → ∫⁻ ω, ∫⁻ s in Set.Icc (0 : ℝ) T,
(‖H ω s‖₊ : ℝ≥0∞) ^ 2 ∂volume ∂P < ⊤)
{C : ℝ} (hC0 : 0 ≤ C) (hCH : ∀ ω s, |H ω s| ≤ C)
{a b : ℝ} (ha : 0 ≤ a) (hab : a < b) :
∫⁻ ω, (‖stochasticIntegralBrownian W ℱ hℱ H hm hp hq b ω
- stochasticIntegralBrownian W ℱ hℱ H hm hp hq a ω‖₊ : ℝ≥0∞) ^ 2 ∂P
≤ ENNReal.ofReal (C ^ 2 * (b - a)) := by sorry