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Dyadic L2L^2L2 Maximal Bound for a Martingale

Proved
LevyStochCalc.Probability.lintegral_sq_dyadicRunMax_le_readable

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

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

This is a dyadic L2L^2L2 maximal inequality for a continuous-time martingale sampled at dyadic times.

Let (Ω,F,P)(\Omega,\mathcal F,P)(Ω,F,P) be a finite probability space, let M:R→Ω→RM:\mathbb R\to\Omega\to\mathbb RM:R→Ω→R be a martingale relative to a filtration F\mathcal FF, and let T≥0T\ge0T≥0. For every n∈Nn\in\mathbb Nn∈N, let dyadicRunMax M T n be the running maximum along the dyadic partition of [0,T][0,T][0,T] at level nnn.

∫Ω∥dyadicRunMax⁡(M,T,n)(ω)∥2 dP(ω)≤4∫Ω∣MT(ω)∣2 dP(ω).\int_\Omega \bigl\|\operatorname{dyadicRunMax}(M,T,n)(\omega)\bigr\|^2\,dP(\omega)\le 4\int_\Omega |M_T(\omega)|^2\,dP(\omega).∫Ω​​dyadicRunMax(M,T,n)(ω)​2dP(ω)≤4∫Ω​∣MT​(ω)∣2dP(ω).

The integrals are ENNReal lower integrals, and the norm is represented by the nonnegative norm coercion. The estimate is intended for dyadic maximal-control arguments.

Original Lean declaration header

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

theorem lintegral_sq_dyadicRunMax_le {μ : Measure Ω} [IsFiniteMeasure μ]
    {ℱ : Filtration ℝ mΩ} (hM : MeasureTheory.Martingale M ℱ μ) (hT : 0 ≤ T) (n : ℕ) :
    ∫⁻ ω, (‖dyadicRunMax M T n ω‖₊ : ℝ≥0∞) ^ 2 ∂μ
      ≤ 4 * ∫⁻ ω, (‖M T ω‖₊ : ℝ≥0∞) ^ 2 ∂μ

Module navigation

Module: LevyStochCalc/Probability/DoobContinuous.

Supporting theorems: maximal_ineq_Lp.

Previous: iSup_enorm_eq_iSup_dyadicRunMax · Next: sq_sum_le_card_sq_mul.

Source excerpt, lines 268–271 · Frozen source 408915f.

Preamble
import Definitions.Def_KLSModular_LevyStochCalc_Probability_DoobContinuous

/-
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/Probability/DoobContinuous.lean; Apache-2.0; provenance in formalization/vendor/vendor-lock.json of the KLS repository)
open MeasureTheory ProbabilityTheory
open scoped NNReal ENNReal
variable {Ω : Type*} {mΩ : MeasurableSpace Ω}
variable {M : ℝ → Ω → ℝ} {T : ℝ}
Formal statement

theorem LevyStochCalc.Probability.lintegral_sq_dyadicRunMax_le_readable {μ : Measure Ω} [IsFiniteMeasure μ]
    {ℱ : Filtration ℝ mΩ} (hM : MeasureTheory.Martingale M ℱ μ) (hT : 0 ≤ T) (n : ℕ) :
    ∫⁻ ω, (‖dyadicRunMax M T n ω‖₊ : ℝ≥0∞) ^ 2 ∂μ
      ≤ 4 * ∫⁻ ω, (‖M T ω‖₊ : ℝ≥0∞) ^ 2 ∂μ := by sorry
Source
Lean source: https://github.com/cgarryZA/LevyStochCalc/blob/984dbf0b790031eac05d56fe5a84b65e15e1e932/LevyStochCalc/Probability/DoobContinuous.lean#L267-L291 (repository human-ai-mathematics/kls-lean, commit 408915f, module `LevyStochCalc.Probability.DoobContinuous`, declaration `LevyStochCalc.Probability.lintegral_sq_dyadicRunMax_le`; 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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