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Uniform Posterior Bounds for All Norm Moments

Proved
FunctionalInequalities.Probability.Posterior.exists_uniform_norm_moments_tilted_quadraticExponent_of_compact_readable

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

bkl2026functional-inequalitieskls-conjecturekls-modularkls-readablelog-concave

This statement formalizes a uniform moment bound in the compact-prior stage associated with Equation (67), p. 19, of Bizeul–Klartag–Lehec (arXiv:2610.05474v1).

Let EEE be a finite-dimensional real inner-product space and let μ\muμ be a probability measure with compact support. Then there exists a radius R∈RR\in\mathbb RR∈R such that 0≤R0\leq R0≤R and, for every c∈Ec\in Ec∈E, every continuous linear map Q:E→EQ:E\to EQ:E→E, and every p∈Np\in\mathbb Np∈N, the posterior associated with quadraticExponent c Q satisfies

  1. x↦∥x∥px\mapsto\|x\|^px↦∥x∥p is integrable under the tilted measure;
  2. its moment is bounded by RpR^pRp:
∫E∥x∥p dμc,Q(x)≤Rp.\int_E \|x\|^p\,d\mu_{c,Q}(x)\leq R^p.∫E​∥x∥pdμc,Q​(x)≤Rp.

The same support radius works uniformly for all finite parameters (c,Q)(c,Q)(c,Q) and all natural exponents ppp. The conclusion is an existence statement for RRR, not a claim that a particular displayed radius is chosen.

Original Lean declaration header

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

theorem exists_uniform_norm_moments_tilted_quadraticExponent_of_compact (μ : ProbabilityMeasure E)
    (hc : IsCompact (μ : Measure E).support) :
    ∃ R : ℝ, 0 ≤ R ∧ ∀ (c : E) (Q : E →L[ℝ] E) (p : ℕ),
      Integrable (fun x => ‖x‖ ^ p) ((μ : Measure E).tilted (quadraticExponent c Q)) ∧
      (∫ x, ‖x‖ ^ p ∂((μ : Measure E).tilted (quadraticExponent c Q))) ≤ R ^ p

Module navigation

Module: Probability/Posterior/CompactQuadratic.

Definition modules: Probability/Posterior/Exponent.

Supporting theorems: norm_integral_tilted_le_of_compact.

Source excerpt, lines 60–64 · Frozen source 408915f.

Preamble
import Definitions.Def_KLSModular_FunctionalInequalities_Probability_Posterior_CompactQuadratic

open MeasureTheory Filter Topology ProbabilityTheory
variable {E : Type*} [NormedAddCommGroup E] [InnerProductSpace ℝ E]
  [MeasurableSpace E] [BorelSpace E] [SecondCountableTopology E]
Formal statement

theorem FunctionalInequalities.Probability.Posterior.exists_uniform_norm_moments_tilted_quadraticExponent_of_compact_readable (μ : ProbabilityMeasure E)
    (hc : IsCompact (μ : Measure E).support) :
    ∃ R : ℝ, 0 ≤ R ∧ ∀ (c : E) (Q : E →L[ℝ] E) (p : ℕ),
      Integrable (fun x => ‖x‖ ^ p) ((μ : Measure E).tilted (quadraticExponent c Q)) ∧
      (∫ x, ‖x‖ ^ p ∂((μ : Measure E).tilted (quadraticExponent c Q))) ≤ R ^ p := by sorry
Source
Source: Bizeul–Klartag–Lehec, Presenting a proof of the Kannan–Lovász–Simonovits conjecture (arXiv:2610.05474v1), Equation (67), p. 19 (unnumbered display) and the compact stage before it. Lean source: https://github.com/human-ai-mathematics/kls-lean/blob/408915f/formalization/FunctionalInequalities/Probability/Posterior/CompactQuadratic.lean#L58-L84 (repository human-ai-mathematics/kls-lean, commit 408915f, module `FunctionalInequalities.Probability.Posterior.CompactQuadratic`, declaration `FunctionalInequalities.Probability.Posterior.exists_uniform_norm_moments_tilted_quadraticExponent_of_compact`; the repository is private at upload time).

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