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Taylor Tensor Bound for Isotropic Regular Laws

Proved
FunctionalInequalities.KLS.LogConcave.Suspension.norm_coordTensor_taylorTensor_sq_le_two_mul_readable

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

bkl2026functional-inequalitieskls-conjecturekls-modularkls-readablelog-concave

Let d∈Nd\in\mathbb Nd∈N satisfy 2≤d2\le d2≤d, let b∈Rb\in\mathbb Rb∈R satisfy 0<b0<b0<b, and assume CumulantBound d b. Let n∈Nn\in\mathbb Nn∈N, let V:EuclideanSpace⁡(R,Fin⁡n)→RV:\operatorname{EuclideanSpace}(\mathbb R,\operatorname{Fin} n)\to\mathbb RV:EuclideanSpace(R,Finn)→R, and let a,b′∈Ra,b'\in\mathbb Ra,b′∈R be such that hV : KLS.RegularPotential V a b'. Assume that the probability law μ=law⁡(hV)\mu=\operatorname{law}(hV)μ=law(hV) is isotropic. For every function f:EuclideanSpace⁡(R,Fin⁡n)→Rf:\operatorname{EuclideanSpace}(\mathbb R,\operatorname{Fin} n)\to\mathbb Rf:EuclideanSpace(R,Finn)→R with f∈L2(μ)f\in L^2(\mu)f∈L2(μ), the coordinate tensor of the ddd-th Taylor tensor satisfies

∥coordTensor⁡(e,taylorTensor⁡(μ,f,d))∥2≤2b(d!)2 (eLpNorm⁡(f,2,μ).toReal⁡)2,\left\|\operatorname{coordTensor}(e,\operatorname{taylorTensor}(\mu,f,d))\right\|^2 \le \frac{2b}{(d!)^2}\,\bigl(\operatorname{eLpNorm}(f,2,\mu).\operatorname{toReal}\bigr)^2,∥coordTensor(e,taylorTensor(μ,f,d))∥2≤(d!)22b​(eLpNorm(f,2,μ).toReal)2,

where eee is the standard basis of EuclideanSpace⁡(R,Fin⁡n)\operatorname{EuclideanSpace}(\mathbb R,\operatorname{Fin} n)EuclideanSpace(R,Finn).

This is the assembled Taylor-coefficient estimate for arbitrary square-integrable functions under the stated cumulant bound. It can be reused as the degree-d≥2d\ge2d≥2 input in the Poincaré reduction.

Formalization Note: The tensor norm and the L2L^2L2 norm are represented by real-valued expressions; eLpNorm takes values in [0,∞][0,\infty][0,∞] and is converted with toReal. The statement is finite-dimensional and allows every n∈Nn\in\mathbb Nn∈N.

Original Lean declaration header

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

theorem norm_coordTensor_taylorTensor_sq_le_two_mul {d : ℕ} (hd : 2 ≤ d) {b : ℝ} (hb : 0 < b)
    (hcb : CumulantBound d b) {n : ℕ} (V : EuclideanSpace ℝ (Fin n) → ℝ) {a b' : ℝ}
    (hV : KLS.RegularPotential V a b') (hiso : KLS.Isotropic hV.law)
    (f : EuclideanSpace ℝ (Fin n) → ℝ) (hf : MemLp f 2 (hV.law : Measure _)) :
    ‖coordTensor (EuclideanSpace.basisFun (Fin n) ℝ) (taylorTensor (hV.law : Measure _) f d)‖ ^ 2 ≤
      2 * b / (d.factorial : ℝ) ^ 2 * (eLpNorm f 2 (hV.law : Measure _)).toReal ^ 2

Module navigation

Module: KLS/BKL/TaylorBound.

Definition modules: KLS/BKL/Suspension/Law, Analysis/Tensor/Coefficients, Analysis/Tensor/Coordinate, KLS/Isotropic, Analysis/BakryEmery/Tilt/Basic, KLS/LogConcave/Regular/Basic.

Selected supporting theorems: convexOn_of_hessian_ge, norm_coordTensor_taylorTensor_inner_sq_le_of_basis, taylorTensor_add, cumulantBound_jointSpace, exists_copies.

Previous: norm_coordTensor_taylorTensor_sq_le_of_smooth.

Source excerpt, lines 503–508 · Frozen source 408915f.

Literature

This formalizes Proposition 7.1 of Bizeul–Klartag–Lehec (arXiv:2610.05474v1), p. 28.

Preamble
import Definitions.Def_KLSModular_FunctionalInequalities_KLS_BKL_TaylorBound

set_option autoImplicit false
open MeasureTheory FunctionalInequalities.L2
open FunctionalInequalities FunctionalInequalities.Analysis.BakryEmery
open FunctionalInequalities.Analysis.Tensor FunctionalInequalities.L2
Formal statement

theorem FunctionalInequalities.KLS.LogConcave.Suspension.norm_coordTensor_taylorTensor_sq_le_two_mul_readable {d : ℕ} (hd : 2 ≤ d) {b : ℝ} (hb : 0 < b)
    (hcb : CumulantBound d b) {n : ℕ} (V : EuclideanSpace ℝ (Fin n) → ℝ) {a b' : ℝ}
    (hV : KLS.RegularPotential V a b') (hiso : KLS.Isotropic hV.law)
    (f : EuclideanSpace ℝ (Fin n) → ℝ) (hf : MemLp f 2 (hV.law : Measure _)) :
    ‖coordTensor (EuclideanSpace.basisFun (Fin n) ℝ) (taylorTensor (hV.law : Measure _) f d)‖ ^ 2 ≤
      2 * b / (d.factorial : ℝ) ^ 2 * (eLpNorm f 2 (hV.law : Measure _)).toReal ^ 2 := by sorry
Source
Source: Bizeul–Klartag–Lehec, Presenting a proof of the Kannan–Lovász–Simonovits conjecture (arXiv:2610.05474v1), Proposition 7.1, p. 28. Lean source: https://github.com/human-ai-mathematics/kls-lean/blob/408915f/formalization/FunctionalInequalities/KLS/BKL/TaylorBound.lean#L502-L585 (repository human-ai-mathematics/kls-lean, commit 408915f, module `FunctionalInequalities.KLS.BKL.TaylorBound`, declaration `FunctionalInequalities.KLS.LogConcave.Suspension.norm_coordTensor_taylorTensor_sq_le_two_mul`; the repository is private at upload time).

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