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Positive Semidefiniteness of the Q Component

Proved
FunctionalInequalities.KLS.BKL.Localization.IsEldanCutoff.ae_Q_posSemidef_readable

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

bkl2026functional-inequalitieskls-conjecturekls-modularkls-readablelog-concave

This formalizes the positivity property of the localization parameter in Equation (67), p. 19 of Bizeul–Klartag–Lehec (arXiv:2610.05474v1). Let μμμ be isotropic with compact support, let γγγ satisfy the cutoff assumptions, and let ppp be an IsEldanCutoff process driven by a multidimensional Brownian motion with Brownian filtration.

For PPP-almost every ωωω, every t≥0t≥0t≥0, the operator Qt(ω)Q_t(ω)Qt​(ω) is self-adjoint and positive semidefinite:

Qt(ω)=Qt(ω)∗and0≤⟨Qt(ω)x,x⟩ for every x.Q_t(ω)=Q_t(ω)^*\quad\text{and}\quad 0≤\langle Q_t(ω)x,x\rangle\ \text{for every }x.Qt​(ω)=Qt​(ω)∗and0≤⟨Qt​(ω)x,x⟩ for every x.

The declaration uses IsSelfAdjoint and the quadratic-form inequality directly. It is a structural consequence used to express positivity of the evolving localization covariance correction.

Original Lean declaration header

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

theorem IsEldanCutoff.ae_Q_posSemidef (hiso : KLS.Isotropic μ) (hγ : IsCutoff γ)
    (h : IsEldanCutoff μ hc W ℱ hW γ p) :
    ∀ᵐ ω ∂P, ∀ t : ℝ, 0 ≤ t →
      IsSelfAdjoint (p t ω).2 ∧ ∀ x, 0 ≤ ⟪(p t ω).2 x, x⟫

Module navigation

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

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

Supporting theorems: inner_self_pos_of_comp_eq_id, Covariance.inner_operator_self_pos_of_affineSupport_eq_top, IsEldanCutoff.ae_inner_Q_eq_integral.

Previous: IsEldanCutoff.ae_inner_Q_eq_integral.

Source excerpt, lines 429–432 · Frozen source 408915f.

Preamble
import Definitions.Def_KLSModular_FunctionalInequalities_KLS_BKL_Localization_Process_Basic

open scoped NNReal ENNReal RealInnerProductSpace
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.ae_Q_posSemidef_readable (hiso : KLS.Isotropic μ) (hγ : IsCutoff γ)
    (h : IsEldanCutoff μ hc W ℱ hW γ p) :
    ∀ᵐ ω ∂P, ∀ t : ℝ, 0 ≤ t →
      IsSelfAdjoint (p t ω).2 ∧ ∀ x, 0 ≤ ⟪(p t ω).2 x, x⟫ := 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/Localization/Process/Basic.lean#L427-L472 (repository human-ai-mathematics/kls-lean, commit 408915f, module `FunctionalInequalities.KLS.BKL.Localization.Process.Basic`, declaration `FunctionalInequalities.KLS.BKL.Localization.IsEldanCutoff.ae_Q_posSemidef`; the repository is private at upload time).

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