Integrability and Fourth-Moment Bound for an Itô Increment
ProvedLevyStochCalc.Brownian.Ito.integral_sub_pow_four_le_readableThis theorem establishes both integrability and a real fourth-moment bound for an Itô-integral increment.
Let be a Brownian motion with Brownian filtration , let be jointly measurable and progressively measurable, and assume its squared norm has finite -valued integral on every positive finite time interval. Suppose , , and . Then the function
is integrable with respect to , and
This converts the preceding ENNReal fourth-moment estimate into an ordinary integral statement and explicitly supplies integrability.
Original Lean declaration header
Within namespace LevyStochCalc.Brownian.Ito. Shown in its original module context. Proof omitted.
theorem integral_sub_pow_four_le {a b : ℝ} (ha : 0 ≤ a) (hab : a < b) :
MeasureTheory.Integrable (fun ω => (stochasticIntegralBrownian W ℱ hℱ H hm hp hq b ω
- stochasticIntegralBrownian W ℱ hℱ H hm hp hq a ω) ^ 4) P
∧ ∫ ω, (stochasticIntegralBrownian W ℱ hℱ H hm hp hq b ω
- stochasticIntegralBrownian W ℱ hℱ H hm hp hq a ω) ^ 4 ∂P
≤ (6 + gaussianFourthMoment) * C ^ 4 * (b - a) ^ 2
Module navigation
Module: LevyStochCalc/Brownian/ItoIncrementMomentBounds.
Definition modules: LevyStochCalc/Brownian/ItoL2CompletionMaster, LevyStochCalc/Brownian/Filtered, LevyStochCalc/Brownian/Construction, LevyStochCalc/Brownian/ItoFourthMomentIncrements, LevyStochCalc/Probability/Progressive.
Supporting theorems: lintegral_stochasticIntegralBrownian_sub_pow_four_le.
Previous: lintegral_stochasticIntegralBrownian_sub_sq_le · Next: integral_sub_sq_le.
Source excerpt, lines 398–403 · 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 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.integral_sub_pow_four_le_readable {a b : ℝ} (ha : 0 ≤ a) (hab : a < b) :
MeasureTheory.Integrable (fun ω => (stochasticIntegralBrownian W ℱ hℱ H hm hp hq b ω
- stochasticIntegralBrownian W ℱ hℱ H hm hp hq a ω) ^ 4) P
∧ ∫ ω, (stochasticIntegralBrownian W ℱ hℱ H hm hp hq b ω
- stochasticIntegralBrownian W ℱ hℱ H hm hp hq a ω) ^ 4 ∂P
≤ (6 + gaussianFourthMoment) * C ^ 4 * (b - a) ^ 2 := by sorry