First Absolute Moment of a Vector Itô Martingale Increment
ProvedLevyStochCalc.Brownian.Ito.integral_abs_vectorItoMartingale_sub_le_readableThis is a coordinatewise first-moment estimate for the martingale part of a vector Itô process.
Let be a probability measure, let be a -dimensional Brownian motion whose coordinates share a filtration , and let be measurable, progressively measurable, and square-integrable on every positive time interval. Assume and for every output coordinate , Brownian coordinate , , and . For and , let .
Then is integrable in absolute value and
This is a technical coordinate estimate obtained by summing the scalar bounds over the driving Brownian coordinates.
Original Lean declaration header
Within namespace LevyStochCalc.Brownian.Ito. Shown in its original module context. Proof omitted.
theorem integral_abs_vectorItoMartingale_sub_le (m : Fin n) {u v : ℝ} (hu : 0 ≤ u) (huv : u < v) :
Integrable (fun ω => |vectorItoMartingale W ℱ hcoord H hHm hHp hHs m v ω
- vectorItoMartingale W ℱ hcoord H hHm hHp hHs m u ω|) P
∧ ∫ ω, |vectorItoMartingale W ℱ hcoord H hHm hHp hHs m v ω
- vectorItoMartingale W ℱ hcoord H hHm hHp hHs m u ω| ∂P
≤ (d : ℝ) * (C * Real.sqrt (v - u))
Module navigation
Module: LevyStochCalc/Brownian/VectorItoProcess.
Definition modules: LevyStochCalc/Brownian/Filtered, LevyStochCalc/Brownian/Multidim, LevyStochCalc/Probability/Progressive.
Supporting theorems: integrable_abs_sum_and_le, integral_abs_sub_stochasticIntegral_le.
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Source excerpt, lines 328–333 · Frozen source 408915f.
import Definitions.Def_KLSModular_LevyStochCalc_Brownian_VectorItoProcess
/-
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/VectorItoProcess.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]
{n d : ℕ} (W : LevyStochCalc.Brownian.Multidim.MultidimBrownianMotion P d)
(ℱ : MeasureTheory.Filtration ℝ ‹MeasurableSpace Ω›)
(hcoord : ∀ k : Fin d, LevyStochCalc.Brownian.IsBrownianFiltration (W.W k) ℱ)
(H : Fin n → Fin d → Ω → ℝ → ℝ)
(hHm : ∀ m k, Measurable (Function.uncurry (H m k)))
(hHp : ∀ m k, LevyStochCalc.Probability.ProgressivelyMeasurable ℱ (H m k))
(hHs : ∀ (m : Fin n) (k : Fin d) (T : ℝ), 0 < T → ∫⁻ ω, ∫⁻ s in Set.Icc (0 : ℝ) T,
(‖H m k ω s‖₊ : ℝ≥0∞) ^ 2 ∂MeasureTheory.MeasureSpace.volume ∂P < ⊤)
variable {C : ℝ} (hC0 : 0 ≤ C)
(hCH : ∀ (m : Fin n) (k : Fin d) (ω : Ω) (s : ℝ), |H m k ω s| ≤ C)
include hC0 hCH
theorem LevyStochCalc.Brownian.Ito.integral_abs_vectorItoMartingale_sub_le_readable (m : Fin n) {u v : ℝ} (hu : 0 ≤ u) (huv : u < v) :
Integrable (fun ω => |vectorItoMartingale W ℱ hcoord H hHm hHp hHs m v ω
- vectorItoMartingale W ℱ hcoord H hHm hHp hHs m u ω|) P
∧ ∫ ω, |vectorItoMartingale W ℱ hcoord H hHm hHp hHs m v ω
- vectorItoMartingale W ℱ hcoord H hHm hHp hHs m u ω| ∂P
≤ (d : ℝ) * (C * Real.sqrt (v - u)) := by sorry