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Taylor-Field Recursion With Explicit Constants

Proved
FunctionalInequalities.KLS.LogConcave.PoissonIterate.norm_taylorField_grad0_iter_sq_le_readable

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

bkl2026functional-inequalitieskls-conjecturekls-modularkls-readablelog-concave

Let VVV be a finite-dimensional real inner-product space with the stated complete, measurable, Borel, and second-countable structures. Let ν\nuν be a log-concave probability measure on VVV, let mmm be an additive Haar measure, and assume that the interior of the support of ν\nuν is nonempty. Let U:V→RU:V\to\mathbb RU:V→R have temperate growth, assume

ν=m.tilted⁡(−U),\nu=m.\operatorname{tilted}(-U),ν=m.tilted(−U),

and assume that every exponential moment ∫er∥x∥ dν(x)\int e^{r\|x\|}\,d\nu(x)∫er∥x∥dν(x) is integrable. Let CCC be a nonnegative-real parameter satisfying CP(ν)≤CC_P(\nu)\le CCP​(ν)≤C and 0<C0<C0<C.

Assume the Taylor bound that, for every u∈L2(ν)u\in L^2(\nu)u∈L2(ν) and every integer d≥1d\ge1d≥1,

∥Tdu∥≤Rd∥u∥,\|T_d u\|\le R^d\|u\|,∥Td​u∥≤Rd∥u∥,

where taylorField and the coordinate tensor are taken in the standard orthonormal basis. Let f∈L2(ν)f\in L^2(\nu)f∈L2(ν) lie in the domain of the adjoint composition of the closed weighted gradient. For integers k,dk,dk,d, assume d≥1d\ge1d≥1, 2d≤k+12d\le k+12d≤k+1, and, for every j<kj<kj<k,

0<αjandαj2≤βC,0<\alpha_j\quad\text{and}\quad \alpha_j^2\le\frac{\beta}{C},0<αj​andαj2​≤Cβ​,

where αj\alpha_jαj​ is the corresponding scale of the Poisson iterate.

Then, with defect denoting the iterate defect,

∥Td(∇0hk+1)∥2≤(220max⁡(1,β)2C)d∥T2d(∇0hk+1−d)∥2+(220max⁡(1,β)2)dR2dC∑j∈[k+1−2d,k)χj+1.\begin{aligned} \|T_d(\nabla_0 h_{k+1})\|^2 &\le \left(\frac{2^{20}\max(1,\beta)^2}{C}\right)^d \|T_{2d}(\nabla_0 h_{k+1-d})\|^2\\ &\quad +(2^{20}\max(1,\beta)^2)^d R^{2d}C \sum_{j\in[k+1-2d,k)}\chi_{j+1}. \end{aligned}∥Td​(∇0​hk+1​)∥2​≤(C220max(1,β)2​)d∥T2d​(∇0​hk+1−d​)∥2+(220max(1,β)2)dR2dCj∈[k+1−2d,k)∑​χj+1​.​

This is a technical recursive estimate used to control Taylor fields of Poisson iterates and to feed the later Taylor-coefficient criterion. The explicit constant is part of the statement, rather than an unspecified universal constant.

Formalization Note. The Poincaré constant is compared with the coercion of a NNReal into R\mathbb RR; the displayed inequalities are real-valued. The sum is over Finset.Ico, and the indices and iterates are those represented by taylorField, grad0, iter, scale, and defect.

Original Lean declaration header

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

theorem norm_taylorField_grad0_iter_sq_le (hCpos : 0 < C) {R : ℝ}
    (h29 : ∀ (u : Lp ℝ 2 (ν : Measure V)) (d : ℕ), 1 ≤ d →
      ‖coordTensor (stdOrthonormalBasis ℝ V) (taylorTensor (ν : Measure V) (⇑u) d)‖ ≤
        R ^ d * ‖u‖)
    {f : Lp ℝ 2 (ν : Measure V)} (hf : f ∈ (adjointComp T̄).domain) {β : ℝ} (k d : ℕ)
    (hd : 1 ≤ d) (hdk : 2 * d ≤ k + 1)
    (hα : ∀ j < k, 0 < scale T̄ (iter T̄ f j) ∧ scale T̄ (iter T̄ f j) ^ 2 ≤ β / C) :
    ‖taylorField d (grad0 T̄ (iter T̄ f k))‖ ^ 2 ≤
      (2 ^ 20 * max 1 β ^ 2 / C) ^ d *
          ‖taylorField (2 * d) (grad0 T̄ (iter T̄ f (k - d)))‖ ^ 2 +
        (2 ^ 20 * max 1 β ^ 2) ^ d * R ^ (2 * d) * C *
          ∑ j ∈ Finset.Ico (k + 1 - 2 * d) k, defect T̄ (iter T̄ f j)

Module navigation

Module: KLS/BKL/PoissonIterate/TaylorRecursion.

Definition modules: KLS/BKL/PoissonIterate/Basic, KLS/LogConcave/WeightedGradient/Closure, Analysis/Tensor/Coefficients, Analysis/Tensor/Coordinate, Analysis/Semigroup/AdjointComp, Probability/LogConcave, Analysis/BakryEmery/Tilt/Basic, Poincare/LocalSlope/Basic.

Selected supporting theorems: contDiff_tiltAverage_of_memLp, iteratedFDeriv_comp_perm_of_contDiff, taylorTensor_add, taylorTensor_const_mul, norm_le_four_pow_mul_norm_symmetrize.

Previous: norm_symmetrize_taylorField_grad0_iter_sq_le.

Source excerpt, lines 479–490 · Frozen source 408915f.

Literature

This formalizes Lemma 3.8 of Bizeul–Klartag–Lehec (arXiv:2610.05474v1), p. 15, in its route form.

Preamble
import Definitions.Def_KLSModular_FunctionalInequalities_KLS_BKL_PoissonIterate_TaylorRecursion

open MeasureTheory Finset
open FunctionalInequalities.Analysis.Semigroup FunctionalInequalities.Analysis.BakryEmery
open FunctionalInequalities.Analysis.Tensor
variable {V : Type*} [NormedAddCommGroup V] [InnerProductSpace ℝ V] [CompleteSpace V]
  [MeasurableSpace V] [BorelSpace V] [SecondCountableTopology V] [FiniteDimensional ℝ V]
  {ν : MeasureTheory.ProbabilityMeasure V} (m : MeasureTheory.Measure V) [m.IsAddHaarMeasure] (hν : FunctionalInequalities.KLS.LogConcave ν)
  (hi : (interior (ν : MeasureTheory.Measure V).support).Nonempty) {U : V → ℝ}
  (hνU : (ν : MeasureTheory.Measure V) = m.tilted (-U)) (hUt : U.HasTemperateGrowth)
  (hexp : ∀ r : ℝ, MeasureTheory.Integrable (fun x => Real.exp (r * ‖x‖)) (ν : MeasureTheory.Measure V))
  {C : NNReal} (hC : FunctionalInequalities.Poincare.LocalSlope.Intrinsic.constant ν ≤ (C : ENNReal))
local notation "T̄" => hν.closedWeightedOperator m (ContinuousLinearMap.id ℝ V) hi
include hνU hUt hexp hC
Formal statement

theorem FunctionalInequalities.KLS.LogConcave.PoissonIterate.norm_taylorField_grad0_iter_sq_le_readable (hCpos : 0 < C) {R : ℝ}
    (h29 : ∀ (u : Lp ℝ 2 (ν : Measure V)) (d : ℕ), 1 ≤ d →
      ‖coordTensor (stdOrthonormalBasis ℝ V) (taylorTensor (ν : Measure V) (⇑u) d)‖ ≤
        R ^ d * ‖u‖)
    {f : Lp ℝ 2 (ν : Measure V)} (hf : f ∈ (adjointComp T̄).domain) {β : ℝ} (k d : ℕ)
    (hd : 1 ≤ d) (hdk : 2 * d ≤ k + 1)
    (hα : ∀ j < k, 0 < scale T̄ (iter T̄ f j) ∧ scale T̄ (iter T̄ f j) ^ 2 ≤ β / C) :
    ‖taylorField d (grad0 T̄ (iter T̄ f k))‖ ^ 2 ≤
      (2 ^ 20 * max 1 β ^ 2 / C) ^ d *
          ‖taylorField (2 * d) (grad0 T̄ (iter T̄ f (k - d)))‖ ^ 2 +
        (2 ^ 20 * max 1 β ^ 2) ^ d * R ^ (2 * d) * C *
          ∑ j ∈ Finset.Ico (k + 1 - 2 * d) k, defect T̄ (iter T̄ f j) := by sorry
Source
Source: Bizeul–Klartag–Lehec, Presenting a proof of the Kannan–Lovász–Simonovits conjecture (arXiv:2610.05474v1), Lemma 3.8, p. 15. Lean source: https://github.com/human-ai-mathematics/kls-lean/blob/408915f/formalization/FunctionalInequalities/KLS/BKL/PoissonIterate/TaylorRecursion.lean#L474-L577 (repository human-ai-mathematics/kls-lean, commit 408915f, module `FunctionalInequalities.KLS.BKL.PoissonIterate.TaylorRecursion`, declaration `FunctionalInequalities.KLS.LogConcave.PoissonIterate.norm_taylorField_grad0_iter_sq_le`; the repository is private at upload time).

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