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Cumulant Energy Generator Chain Rule

Proved
FunctionalInequalities.KLS.BKL.Localization.generator_cumulantEnergy_eq_readable

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

functional-inequalitieskls-conjecturekls-modularkls-readablelog-concave

This is the chain-rule expression for the generator of the posterior cumulant energy.

Let μ\muμ be an isotropic probability measure on EuclideanSpace R (Fin n)\mathrm{EuclideanSpace}\,\mathbb R\,(\mathrm{Fin}\,n)EuclideanSpaceR(Finn) with compact support. Let r∈Nr\in\mathbb Nr∈N satisfy 2≤r2\le r2≤r, let uuu be a direction, and let p=(c,Q)p=(c,Q)p=(c,Q) be a localization parameter. Define Er(p,u)=cumulantEnergy⁡(μp,r,u)E_r(p,u)=\operatorname{cumulantEnergy}(\mu_p,r,u)Er​(p,u)=cumulantEnergy(μp​,r,u), and write energyForm for the quadratic form applied to the covariance-coordinate tensor and cumulant tensor. The identity uses energyTensor, lowerTensor, noiseTensor, and conjugatedNoiseOperator.

LEr(p,u)=D ⁣F(1,Ertensor)[−1,−((r+1)Ertensor+Lrtensor)]+12∑kD2F(1,Ertensor)[(H~k,Wk),(H~k,Wk)].\mathcal L E_r(p,u)=D\!F(1,E_r^{\mathrm{tensor}})\bigl[-1,-((r+1)E_r^{\mathrm{tensor}}+L_r^{\mathrm{tensor}})\bigr] +\frac12\sum_kD^2F(1,E_r^{\mathrm{tensor}})[(\widetilde H_k,W_k),(\widetilde H_k,W_k)] .LEr​(p,u)=DF(1,Ertensor​)[−1,−((r+1)Ertensor​+Lrtensor​)]+21​k∑​D2F(1,Ertensor​)[(Hk​,Wk​),(Hk​,Wk​)].

The equality is a technical generator decomposition in conjugated coordinates. It isolates the drift and noise derivatives needed for subsequent energy inequalities; it does not itself assert a lower bound.

Original Lean declaration header

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

set_option maxHeartbeats 1000000 in
theorem generator_cumulantEnergy_eq (hiso : KLS.Isotropic μ) {r : ℕ} (hr : 2 ≤ r)
    (u : EuclideanSpace ℝ (Fin n)) (p : Param n) :
    generator μ hc
        (fun q : Param n => cumulantEnergy (compactPosterior μ hc q.1 q.2 : Measure (EuclideanSpace ℝ (Fin n))) r u) p =
      fderiv ℝ (fun q : (EuclideanSpace ℝ (Fin n) →L[ℝ] EuclideanSpace ℝ (Fin n)) × ((Fin r → Fin n) → ℝ) =>
          energyForm q.1 q.2) (1, energyTensor μ hc p r u)
          (-1, -(((r : ℝ) + 1) • energyTensor μ hc p r u + lowerTensor μ hc p r u)) +
        (1 / 2 : ℝ) * ∑ k, fderiv ℝ (fderiv ℝ
          (fun q : (EuclideanSpace ℝ (Fin n) →L[ℝ] EuclideanSpace ℝ (Fin n)) × ((Fin r → Fin n) → ℝ) =>
            energyForm q.1 q.2)) (1, energyTensor μ hc p r u)
          (conjugatedNoiseOperator μ hc p k, noiseTensor μ hc p r u k)
          (conjugatedNoiseOperator μ hc p k, noiseTensor μ hc p r u k)

Module navigation

Module: KLS/BKL/Localization/Energy/Generator.

Definition modules: Analysis/Tensor/EnergyForm, KLS/BKL/CumulantEnergy/Basic, KLS/BKL/Localization/Coefficients, KLS/Isotropic, Probability/Posterior/CompactDomain.

Selected supporting theorems: contDiffAt_energyForm, inner_self_pos_of_isPositive_of_isUnit, inverseSqrt_mul_mul_inverseSqrt, Covariance.inner_operator_self_pos_of_affineSupport_eq_top, contDiff_cumulant_posterior.

Previous: stdMatrix_conjugatedNoiseOperator · Next: generator_cumulantEnergy_ge.

Source excerpt, lines 251–263 · Frozen source 408915f.

Preamble
import Definitions.Def_KLSModular_FunctionalInequalities_KLS_BKL_Localization_Energy_Generator

open MeasureTheory
open FunctionalInequalities.Probability.Posterior FunctionalInequalities.Analysis
  FunctionalInequalities.Analysis.BakryEmery FunctionalInequalities.Probability.Diffusion
  FunctionalInequalities.Analysis.CoordinateTensor
variable {n : ℕ} (μ : MeasureTheory.ProbabilityMeasure (EuclideanSpace ℝ (Fin n)))
  (hc : IsCompact (μ : MeasureTheory.Measure (EuclideanSpace ℝ (Fin n))).support)
set_option maxHeartbeats 1000000
Formal statement
theorem FunctionalInequalities.KLS.BKL.Localization.generator_cumulantEnergy_eq_readable (hiso : KLS.Isotropic μ) {r : ℕ} (hr : 2 ≤ r)
    (u : EuclideanSpace ℝ (Fin n)) (p : Param n) :
    generator μ hc
        (fun q : Param n => cumulantEnergy (compactPosterior μ hc q.1 q.2 : Measure (EuclideanSpace ℝ (Fin n))) r u) p =
      fderiv ℝ (fun q : (EuclideanSpace ℝ (Fin n) →L[ℝ] EuclideanSpace ℝ (Fin n)) × ((Fin r → Fin n) → ℝ) =>
          energyForm q.1 q.2) (1, energyTensor μ hc p r u)
          (-1, -(((r : ℝ) + 1) • energyTensor μ hc p r u + lowerTensor μ hc p r u)) +
        (1 / 2 : ℝ) * ∑ k, fderiv ℝ (fderiv ℝ
          (fun q : (EuclideanSpace ℝ (Fin n) →L[ℝ] EuclideanSpace ℝ (Fin n)) × ((Fin r → Fin n) → ℝ) =>
            energyForm q.1 q.2)) (1, energyTensor μ hc p r u)
          (conjugatedNoiseOperator μ hc p k, noiseTensor μ hc p r u k)
          (conjugatedNoiseOperator μ hc p k, noiseTensor μ hc p r u k) := by sorry
Source
Lean source: https://github.com/human-ai-mathematics/kls-lean/blob/408915f/formalization/FunctionalInequalities/KLS/BKL/Localization/Energy/Generator.lean#L251-L407 (repository human-ai-mathematics/kls-lean, commit 408915f, module `FunctionalInequalities.KLS.BKL.Localization.Energy.Generator`, declaration `FunctionalInequalities.KLS.BKL.Localization.generator_cumulantEnergy_eq`; the repository is private at upload time).

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