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Joint Smoothness of Compact Posterior Expectations

Proved
FunctionalInequalities.Probability.Posterior.contDiff_posteriorExpectation_joint_readable

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

bkl2026functional-inequalitieskls-conjecturekls-modularkls-readablelog-concave

This statement formalizes the joint smoothness assertion 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. Let f:E→Rf:E\to\mathbb Rf:E→R be measurable, and suppose there is C∈RC\in\mathbb RC∈R such that

∥f(x)∥≤C\|f(x)\|\leq C∥f(x)∥≤C

for every xxx in the support of μ\muμ. No nonnegativity assumption on CCC appears in the type.

Then the map on the product of the linear parameter and operator parameter is infinitely continuously differentiable:

ContDiff⁡R∞((c,Q)↦posteriorExpectation⁡(μ,c,Q,f)),\operatorname{ContDiff}_{\mathbb R}^{\infty} \left((c,Q)\mapsto \operatorname{posteriorExpectation}(\mu,c,Q,f)\right),ContDiffR∞​((c,Q)↦posteriorExpectation(μ,c,Q,f)),

for (c,Q)∈E×(E→LE)(c,Q)\in E\times(E\to_L E)(c,Q)∈E×(E→L​E). The result includes arbitrary finite QQQ, including Q=0Q=0Q=0 and nonsymmetric operators, and does not impose isotropy on μ\muμ.

Original Lean declaration header

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

theorem contDiff_posteriorExpectation_joint (μ : ProbabilityMeasure E)
    (hc : IsCompact (μ : Measure E).support) {f : E → ℝ} (hf : Measurable f)
    {C : ℝ} (hb : ∀ x ∈ (μ : Measure E).support, ‖f x‖ ≤ C) :
    ContDiff ℝ ∞ (fun p : E × (E →L[ℝ] E) => posteriorExpectation μ p.1 p.2 f)

Module navigation

Module: Probability/Posterior/JointRegularity.

Definition modules: Probability/Posterior/Generator.

Supporting theorems: contDiff_posteriorExpectation_c.

Next: contDiff_posteriorMean_joint.

Source excerpt, lines 188–191 · Frozen source 408915f.

Preamble
import Definitions.Def_KLSModular_FunctionalInequalities_Probability_Posterior_JointRegularity

open MeasureTheory ProbabilityTheory FunctionalInequalities
open scoped RealInnerProductSpace ContDiff
variable {E : Type*} [NormedAddCommGroup E] [InnerProductSpace ℝ E] [FiniteDimensional ℝ E]
  [MeasurableSpace E] [BorelSpace E]
Formal statement

theorem FunctionalInequalities.Probability.Posterior.contDiff_posteriorExpectation_joint_readable (μ : ProbabilityMeasure E)
    (hc : IsCompact (μ : Measure E).support) {f : E → ℝ} (hf : Measurable f)
    {C : ℝ} (hb : ∀ x ∈ (μ : Measure E).support, ‖f x‖ ≤ C) :
    ContDiff ℝ ∞ (fun p : E × (E →L[ℝ] E) => posteriorExpectation μ p.1 p.2 f) := 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/JointRegularity.lean#L184-L206 (repository human-ai-mathematics/kls-lean, commit 408915f, module `FunctionalInequalities.Probability.Posterior.JointRegularity`, declaration `FunctionalInequalities.Probability.Posterior.contDiff_posteriorExpectation_joint`; the repository is private at upload time).

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