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Isotropic Standardization of a Compact Posterior

Proved
FunctionalInequalities.KLS.Isotropic.exists_inverseSqrt_equiv_isotropic_standardized_readable

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

bkl2026functional-inequalitieskls-conjecturekls-modularkls-readablelog-concave

This is a canonical standardization statement related to the posterior in Equation (67) of Bizeul–Klartag–Lehec (arXiv:2610.05474v1), Equation (67), p. 19.

Let EEE be a finite-dimensional real inner-product space with Borel measurable structure. Let μ\muμ be an isotropic probability measure with compact support, let c∈Ec\in Ec∈E, and let Q:E→EQ:E\to EQ:E→E be continuous linear. Then there exists a continuous linear equivalence W:E≃LEW:E\simeq_L EW:E≃L​E such that

W=inverseSqrt⁡(Cov⁡(μc,Q)),W=\operatorname{inverseSqrt}\bigl(\operatorname{Cov}(\mu_{c,Q})\bigr),W=inverseSqrt(Cov(μc,Q​)),

and the pushforward by WWW of the posterior centered at its mean is isotropic:

W#((μc,Q) translated by −posteriorMean⁡(μ,c,Q)) is isotropic.W_\#\bigl((\mu_{c,Q})\text{ translated by }-\operatorname{posteriorMean}(\mu,c,Q)\bigr)\text{ is isotropic}.W#​((μc,Q​) translated by −posteriorMean(μ,c,Q)) is isotropic.

The posterior is compactPosterior μ hc c Q, and the covariance operator is Covariance.operator. The conclusion is existential and applies only under the compact-support and finite-dimensional hypotheses shown.

Original Lean declaration header

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

theorem Isotropic.exists_inverseSqrt_equiv_isotropic_standardized (μ : ProbabilityMeasure E)
    (hc : IsCompact (μ : Measure E).support) (hiso : KLS.Isotropic μ) (c : E) (Q : E →L[ℝ] E) :
    ∃ W : E ≃L[ℝ] E,
      (W : E →L[ℝ] E) = inverseSqrt (Covariance.operator (compactPosterior μ hc c Q : Measure E)) ∧
      KLS.Isotropic (Probability.mapContinuousLinearEquiv
        (Probability.translateLaw (compactPosterior μ hc c Q) (-posteriorMean μ c Q)) W)

Module navigation

Module: KLS/BKL/Posterior/Standardization.

Definition modules: Probability/Posterior/Generator, Probability/Covariance/Basic, KLS/Isotropic, Analysis/Operator/InverseSqrt, Probability/Transport, Probability/Posterior/CompactDomain.

Supporting theorems: inverseSqrt_mul_mul_inverseSqrt, Covariance.inner_operator_self_pos_of_affineSupport_eq_top, Covariance.operator_map_continuousLinearEquiv.

Source excerpt, lines 34–39 · Frozen source 408915f.

Preamble
import Definitions.Def_KLSModular_FunctionalInequalities_KLS_BKL_Posterior_Standardization

open MeasureTheory
open FunctionalInequalities.Probability.Posterior FunctionalInequalities.Analysis
variable {E : Type*} [NormedAddCommGroup E] [InnerProductSpace ℝ E]
  [FiniteDimensional ℝ E] [MeasurableSpace E] [BorelSpace E]
Formal statement

theorem FunctionalInequalities.KLS.Isotropic.exists_inverseSqrt_equiv_isotropic_standardized_readable (μ : ProbabilityMeasure E)
    (hc : IsCompact (μ : Measure E).support) (hiso : KLS.Isotropic μ) (c : E) (Q : E →L[ℝ] E) :
    ∃ W : E ≃L[ℝ] E,
      (W : E →L[ℝ] E) = inverseSqrt (Covariance.operator (compactPosterior μ hc c Q : Measure E)) ∧
      KLS.Isotropic (Probability.mapContinuousLinearEquiv
        (Probability.translateLaw (compactPosterior μ hc c Q) (-posteriorMean μ c Q)) W) := 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/KLS/BKL/Posterior/Standardization.lean#L32-L112 (repository human-ai-mathematics/kls-lean, commit 408915f, module `FunctionalInequalities.KLS.BKL.Posterior.Standardization`, declaration `FunctionalInequalities.KLS.Isotropic.exists_inverseSqrt_equiv_isotropic_standardized`; the repository is private at upload time).

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