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Poincaré Constants Under Isometric Energy Equivalence

Proved
FunctionalInequalities.Poincare.L2Energy.constant_eq_of_linearIsometryEquiv_readable

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

functional-inequalitieskls-conjecturekls-modularkls-readablelog-concave

This is an invariance principle for optimal extended-energy Poincaré constants.

Let μ\muμ and μ′\mu'μ′ be probability measures on measurable spaces α\alphaα and β\betaβ. Let energy and energy' be extended-valued energy functionals on the corresponding real L2L^2L2 spaces, and let e:L2(μ′)≃L2(μ)e:L^2(\mu')\simeq L^2(\mu)e:L2(μ′)≃L2(μ) be a real linear isometric equivalence. Assume that for every fff, variance is preserved:

Var⁡μ(ef)=Var⁡μ′(f),\operatorname{Var}_{\mu}(ef)=\operatorname{Var}_{\mu'}(f),Varμ​(ef)=Varμ′​(f),

and that the energies intertwine:

energy′(f)=energy(ef).\mathrm{energy}'(f)=\mathrm{energy}(ef).energy′(f)=energy(ef).

Then their optimal Poincaré constants are equal:

CP(μ,energy)=CP(μ′,energy′).C_P(\mu,\mathrm{energy})=C_P(\mu',\mathrm{energy}').CP​(μ,energy)=CP​(μ′,energy′).

The functionals may take the value ∞\infty∞; the statement compares exactly the finite-energy domains and does not assume closedness, quadraticity, or a Markov property.

Original Lean declaration header

Within namespace FunctionalInequalities.Poincare.L2Energy. Shown in its original module context. Proof omitted.

theorem constant_eq_of_linearIsometryEquiv {β : Type*} [MeasurableSpace β]
    (μ : ProbabilityMeasure α) (μ' : ProbabilityMeasure β)
    (energy : Energy.Functional (Lp ℝ 2 (μ : Measure α)))
    (energy' : Energy.Functional (Lp ℝ 2 (μ' : Measure β)))
    (e : Lp ℝ 2 (μ' : Measure β) ≃ₗᵢ[ℝ] Lp ℝ 2 (μ : Measure α))
    (hvar : ∀ f, L2.variance μ (e f) = L2.variance μ' f)
    (henergy : ∀ f, energy' f = energy (e f)) :
    constant μ' energy' = constant μ energy

Module navigation

Module: Poincare/L2/Energy.

Definition modules: Energy/Form/Functional, L2/MeanVariance.

Source excerpt, lines 89–96 · Frozen source 408915f.

Preamble
import Definitions.Def_KLSModular_FunctionalInequalities_Poincare_L2_Energy

open MeasureTheory
universe u
variable {α : Type u} [MeasurableSpace α]
Formal statement

theorem FunctionalInequalities.Poincare.L2Energy.constant_eq_of_linearIsometryEquiv_readable {β : Type*} [MeasurableSpace β]
    (μ : ProbabilityMeasure α) (μ' : ProbabilityMeasure β)
    (energy : Energy.Functional (Lp ℝ 2 (μ : Measure α)))
    (energy' : Energy.Functional (Lp ℝ 2 (μ' : Measure β)))
    (e : Lp ℝ 2 (μ' : Measure β) ≃ₗᵢ[ℝ] Lp ℝ 2 (μ : Measure α))
    (hvar : ∀ f, L2.variance μ (e f) = L2.variance μ' f)
    (henergy : ∀ f, energy' f = energy (e f)) :
    constant μ' energy' = constant μ energy := by sorry
Source
Lean source: https://github.com/human-ai-mathematics/kls-lean/blob/408915f/formalization/FunctionalInequalities/Poincare/L2/Energy.lean#L87-L135 (repository human-ai-mathematics/kls-lean, commit 408915f, module `FunctionalInequalities.Poincare.L2.Energy`, declaration `FunctionalInequalities.Poincare.L2Energy.constant_eq_of_linearIsometryEquiv`; the repository is private at upload time).

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