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Isotropy of a Centered and Whitened Regular Potential

Proved
FunctionalInequalities.KLS.RegularPotential.isotropic_comp_affine_of_whitening_readable

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

functional-inequalitieskls-conjecturekls-modularkls-readablelog-concave

This statement identifies the isotropy of the law of a specified affine transformation of a regular potential.

Let EEE be a finite-dimensional complete real inner product space with its Borel measurable structure. Let V:E→RV:E\to\mathbb RV:E→R, a,b∈Ra,b\in\mathbb Ra,b∈R, and hV:h_V:hV​: KLS.RegularPotential V a b. Write μ=\mu=μ= RegularPotential.law hV, c=∫x dμ(x)c=\int x\,d\mu(x)c=∫xdμ(x), and Σμ=\Sigma_\mu=Σμ​= Covariance.operator μ. Assume:

  1. W:E→EW:E\to EW:E→E is an invertible continuous linear map and W∗=WW^*=WW∗=W.
  2. For every u,v∈Eu,v\in Eu,v∈E, ⟨Σμ(Wu),Wv⟩=⟨u,v⟩\langle\Sigma_\mu(Wu),Wv\rangle=\langle u,v\rangle⟨Σμ​(Wu),Wv⟩=⟨u,v⟩.

Let μ~\widetilde\muμ​ be the law supplied by RegularPotential.comp_affine hV W.symm c, corresponding to the potential y↦V(W−1y+c)y\mapsto V(W^{-1}y+c)y↦V(W−1y+c). Then

Isotropic⁡(μ~).\operatorname{Isotropic}(\widetilde\mu).Isotropic(μ​).

Here KLS.Isotropic means finite second moment, zero mean, and identity centered covariance. This is a normalization result for a supplied whitening map, not an assertion of its existence or uniqueness.

Original Lean declaration header

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

theorem isotropic_comp_affine_of_whitening (hV : KLS.RegularPotential V a b)
    (W : E ≃L[ℝ] E) (hWadj : (W : E →L[ℝ] E).adjoint = W)
    (hW : ∀ u v, inner ℝ (Covariance.operator (hV.law : Measure E) (W u)) (W v) = inner ℝ u v) :
    KLS.Isotropic (comp_affine hV W.symm
      (∫ x, x ∂(hV.law : Measure E))).law

Module navigation

Module: KLS/LogConcave/Regular/Isotropic.

Definition modules: Probability/Covariance/Basic, KLS/Isotropic, KLS/LogConcave/Regular/Basic.

Supporting theorems: convexOn_of_hessian_ge, Covariance.operator_map_continuousLinearEquiv, isBorellDensity_of_eq_tilted, memLp_id_two, RegularPotential.law_comp_affine.

Previous: covariance_pos.

Source excerpt, lines 75–79 · Frozen source 408915f.

Preamble
import Definitions.Def_KLSModular_FunctionalInequalities_KLS_LogConcave_Regular_Isotropic

open MeasureTheory ProbabilityTheory
variable {E : Type*} [NormedAddCommGroup E] [InnerProductSpace ℝ E]
  [CompleteSpace E] [FiniteDimensional ℝ E] [MeasurableSpace E] [BorelSpace E]
  {V : E → ℝ} {a b : ℝ}
Formal statement

theorem FunctionalInequalities.KLS.RegularPotential.isotropic_comp_affine_of_whitening_readable (hV : KLS.RegularPotential V a b)
    (W : E ≃L[ℝ] E) (hWadj : (W : E →L[ℝ] E).adjoint = W)
    (hW : ∀ u v, inner ℝ (Covariance.operator (hV.law : Measure E) (W u)) (W v) = inner ℝ u v) :
    KLS.Isotropic (comp_affine hV W.symm
      (∫ x, x ∂(hV.law : Measure E))).law := by sorry
Source
Lean source: https://github.com/human-ai-mathematics/kls-lean/blob/408915f/formalization/FunctionalInequalities/KLS/LogConcave/Regular/Isotropic.lean#L73-L96 (repository human-ai-mathematics/kls-lean, commit 408915f, module `FunctionalInequalities.KLS.LogConcave.Regular.Isotropic`, declaration `FunctionalInequalities.KLS.RegularPotential.isotropic_comp_affine_of_whitening`; the repository is private at upload time).

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