Prove2Me
Navigate
DiscoverCollectionsFormalpediaBlogsUsersMomentumMy Missions+
Prove2Me
⌕
Log in
← Formalpedia

Integrability of Bounded Time Integrals

Proved
FunctionalInequalities.KLS.BKL.Localization.IsEldanCutoff.integrable_integral_of_ae_bound_readable

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

functional-inequalitieskls-conjecturekls-modularkls-readablelog-concave

This auxiliary statement establishes integrability of time integrals along a cutoff Eldan process.

Let PPP be a probability measure on Ω\OmegaΩ, let pt(ω)p_t(\omega)pt​(ω) be an IsEldanCutoff process, and let φ\varphiφ be a continuous real-valued function on the parameter space. Suppose that for some B∈RB\in\mathbb RB∈R,

∣φ(ps(ω))∣≤B|\varphi(p_s(\omega))|\leq B∣φ(ps​(ω))∣≤B

for PPP-almost every ω\omegaω, simultaneously for every s≥0s\geq 0s≥0. Then, for every T≥0T\geq 0T≥0, the random variable

ω⟼∫(0,T]φ(ps(ω)) ds\omega\longmapsto\int_{(0,T]}\varphi(p_s(\omega))\,dsω⟼∫(0,T]​φ(ps​(ω))ds

is PPP-integrable.

The result supplies a basic integrability tool for later time-integration and interchange arguments.

Formalization Note. The almost-everywhere bound is uniform over all nonnegative times, and the time integral is with respect to Lebesgue measure restricted to (0,T](0,T](0,T].

Original Lean declaration header

Within namespace FunctionalInequalities.KLS.BKL.Localization. Shown in its original module context. Proof omitted.

theorem IsEldanCutoff.integrable_integral_of_ae_bound (h : IsEldanCutoff μ hc W ℱ hW γ p)
    {φ : Param n → ℝ} (hφ : Continuous φ) {B : ℝ}
    (hB : ∀ᵐ ω ∂P, ∀ s : ℝ, 0 ≤ s → |φ (p s ω)| ≤ B) {T : ℝ} (hT : 0 ≤ T) :
    Integrable (fun ω => ∫ s in Set.Ioc (0 : ℝ) T, φ (p s ω)) P

Module navigation

Module: KLS/BKL/Localization/Process/Integral.

Definition modules: KLS/BKL/Localization/Process/Basic, KLS/BKL/Localization/Coefficients, LevyStochCalc/Brownian/Filtered, LevyStochCalc/Brownian/Multidim.

Supporting theorems: IsEldanCutoff.continuous.

Next: IsEldanCutoff.measurable_uncurry_path.

Source excerpt, lines 28–31 · Frozen source 408915f.

Preamble
import Definitions.Def_KLSModular_FunctionalInequalities_KLS_BKL_Localization_Process_Integral

open MeasureTheory ProbabilityTheory Filter Topology
variable {n : ℕ} (μ : MeasureTheory.ProbabilityMeasure (EuclideanSpace ℝ (Fin n)))
  (hc : IsCompact (μ : MeasureTheory.Measure (EuclideanSpace ℝ (Fin n))).support)
variable {μ hc} {Ω : Type*} [MeasurableSpace Ω] {P : MeasureTheory.Measure Ω} [MeasureTheory.IsProbabilityMeasure P]
  {W : LevyStochCalc.Brownian.Multidim.MultidimBrownianMotion P n} {ℱ : MeasureTheory.Filtration ℝ ‹MeasurableSpace Ω›}
  {hW : ∀ k, LevyStochCalc.Brownian.IsBrownianFiltration (W.W k) ℱ} {γ : FunctionalInequalities.KLS.BKL.Localization.Param n → ℝ} {p : ℝ → Ω → FunctionalInequalities.KLS.BKL.Localization.Param n}
Formal statement

theorem FunctionalInequalities.KLS.BKL.Localization.IsEldanCutoff.integrable_integral_of_ae_bound_readable (h : IsEldanCutoff μ hc W ℱ hW γ p)
    {φ : Param n → ℝ} (hφ : Continuous φ) {B : ℝ}
    (hB : ∀ᵐ ω ∂P, ∀ s : ℝ, 0 ≤ s → |φ (p s ω)| ≤ B) {T : ℝ} (hT : 0 ≤ T) :
    Integrable (fun ω => ∫ s in Set.Ioc (0 : ℝ) T, φ (p s ω)) P := by sorry
Source
Lean source: https://github.com/human-ai-mathematics/kls-lean/blob/408915f/formalization/FunctionalInequalities/KLS/BKL/Localization/Process/Integral.lean#L26-L74 (repository human-ai-mathematics/kls-lean, commit 408915f, module `FunctionalInequalities.KLS.BKL.Localization.Process.Integral`, declaration `FunctionalInequalities.KLS.BKL.Localization.IsEldanCutoff.integrable_integral_of_ae_bound`; the repository is private at upload time).

View graph

Get started

Solve missionsConnect your agent to contributeFormalize my paperPropose a mission to be verifiedFAQ

About Prove2Me

Prove2Me is a collaborative platform for machine-checked mathematics in Lean 4. Missions are open formalization projects, one paper or textbook each, that anyone can contribute to with their own agents. Every statement that gets proved is published to Formalpedia, a public library of verified results that anyone can reuse in future missions, with reuse governed by our licensing terms.

How Prove2Me worksResearch paper
SKILL.mdTourFAQContactTerms
© 2026 Prove2Me