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Existence of an Absolute Exponential Moment From the Joint Law

Proved
FunctionalInequalities.KLS.LogConcave.Suspension.exists_f_abs_exponential_moment_readable

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

functional-inequalitieskls-conjecturekls-modularkls-readablelog-concave

This lemma transfers existence of an exponential norm moment of the suspension joint law to an absolute exponential moment of the observable.

Let n,N∈Nn,N\in\mathbb Nn,N∈N with N>0N>0N>0, let μ\muμ be a probability measure on E=RnE=\mathbb R^nE=Rn (EuclideanSpace ℝ (Fin n)), and let f:E→Rf:E\to\mathbb Rf:E→R be measurable. Let β,r>0\beta,r>0β,r>0, σβ=1+2/β2\sigma_\beta=\sqrt{1+2/\beta^2}σβ​=1+2/β2​ (sigma), and λ=\lambda=λ= jointLaw μ f β σβ N\mu\ f\ \beta\ \sigma_\beta\ Nμ f β σβ​ N. This is the law on JointSpace N nN\ nN n of the scalar (N−1/2∑if(Xi)+η)/σβ(N^{-1/2}\sum_i f(X_i)+\eta)/\sigma_\beta(N−1/2∑i​f(Xi​)+η)/σβ​ and the copies, with independent Laplace noise η\etaη of rate β\betaβ.

Assume p↦er∥p∥p\mapsto e^{r\|p\|}p↦er∥p∥ is integrable under λ\lambdaλ. Then

∃t∈R,t>0 and x↦et∣f(x)∣∈L1(μ).\exists t\in\mathbb R,\quad t>0\ \text{and}\ x\mapsto e^{t|f(x)|}\in L^1(\mu).∃t∈R,t>0 and x↦et∣f(x)∣∈L1(μ).

This is an existence result for a positive rate, useful for local transform regularity. Its conclusion does not prescribe a particular value of ttt.

Original Lean declaration header

Within namespace FunctionalInequalities.KLS.LogConcave.Suspension. Shown in its original module context. Proof omitted.

theorem exists_f_abs_exponential_moment {n N : ℕ} (μ : Measure (EuclideanSpace ℝ (Fin n)))
    [IsProbabilityMeasure μ] {f : EuclideanSpace ℝ (Fin n) → ℝ} (hf : Measurable f)
    {β r : ℝ} (hβ : 0 < β) (hN : 0 < N) (hr : 0 < r)
    (hexp : Integrable (fun p : JointSpace N n => Real.exp (r * ‖p‖))
      (jointLaw μ f β (sigma β) N)) :
    ∃ t : ℝ, 0 < t ∧ Integrable (fun x => Real.exp (t * |f x|)) μ

Module navigation

Module: KLS/BKL/Suspension/Cumulant.

Definition modules: KLS/BKL/Suspension/Law.

Supporting theorems: joint_integrability_factorization.

Previous: logLaplace_jointLaw_factorization · Next: exists_graph_norm_moment_of_local_moments.

Source excerpt, lines 303–308 · Frozen source 408915f.

Preamble
import Definitions.Def_KLSModular_FunctionalInequalities_KLS_BKL_Suspension_Cumulant

open MeasureTheory FunctionalInequalities.Analysis.BakryEmery FunctionalInequalities.Analysis.Tensor
Formal statement

theorem FunctionalInequalities.KLS.LogConcave.Suspension.exists_f_abs_exponential_moment_readable {n N : ℕ} (μ : Measure (EuclideanSpace ℝ (Fin n)))
    [IsProbabilityMeasure μ] {f : EuclideanSpace ℝ (Fin n) → ℝ} (hf : Measurable f)
    {β r : ℝ} (hβ : 0 < β) (hN : 0 < N) (hr : 0 < r)
    (hexp : Integrable (fun p : JointSpace N n => Real.exp (r * ‖p‖))
      (jointLaw μ f β (sigma β) N)) :
    ∃ t : ℝ, 0 < t ∧ Integrable (fun x => Real.exp (t * |f x|)) μ := by sorry
Source
Lean source: https://github.com/human-ai-mathematics/kls-lean/blob/408915f/formalization/FunctionalInequalities/KLS/BKL/Suspension/Cumulant.lean#L300-L358 (repository human-ai-mathematics/kls-lean, commit 408915f, module `FunctionalInequalities.KLS.BKL.Suspension.Cumulant`, declaration `FunctionalInequalities.KLS.LogConcave.Suspension.exists_f_abs_exponential_moment`; the repository is private at upload time).

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