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Extension of Normalized Smooth Taylor Bounds to Affine-Orthogonal L2L^2L2 Functions

Proved
FunctionalInequalities.KLS.LogConcave.Suspension.norm_coordTensor_taylorTensor_sq_le_of_smooth_readable

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

bkl2026functional-inequalitieskls-conjecturekls-modularkls-readablelog-concave

This auxiliary extension statement formalizes a component of Proposition 7.1, p. 28, of Bizeul–Klartag–Lehec (arXiv:2610.05474v1), rather than the full proposition.

Let d,n∈Nd,n\in\mathbb Nd,n∈N, b≥0b\ge0b≥0, and V:Rn→RV:\mathbb R^n\to\mathbb RV:Rn→R. Suppose hV:h_V:hV​: RegularPotential V a b′V\ a\ b'V a b′: a,b′>0a,b'>0a,b′>0, VVV is smooth with derivatives of polynomial growth, and aId⁡≤D2V≤b′Id⁡a\operatorname{Id}\le D^2V\le b'\operatorname{Id}aId≤D2V≤b′Id. Let μ=hV.law\mu=h_V.\text{law}μ=hV​.law, the normalized e−Ve^{-V}e−V law, and assume it is isotropic (KLS.Isotropic). The Euclidean space is EuclideanSpace ℝ (Fin n).

Write Ad(h)=coord⁡(Tdμh)A_d(h)=\operatorname{coord}(T_d^\mu h)Ad​(h)=coord(Tdμ​h), using taylorTensor and coordTensor in the standard orthonormal basis. Assume that every real-valued g∈C2∩L2(μ)g\in C^2\cap L^2(\mu)g∈C2∩L2(μ) with a globally bounded second Fréchet derivative, ∫g dμ=0\int g\,d\mu=0∫gdμ=0, ∫g2 dμ=1\int g^2\,d\mu=1∫g2dμ=1, and ∫⟨u,x⟩g(x) dμ=0\int\langle u,x\rangle g(x)\,d\mu=0∫⟨u,x⟩g(x)dμ=0 for all uuu, satisfies ∥Ad(g)∥2≤b/(d!)2\|A_d(g)\|^2\le b/(d!)^2∥Ad​(g)∥2≤b/(d!)2.

Then every f∈L2(μ)f\in L^2(\mu)f∈L2(μ) with ∫f dμ=0\int f\,d\mu=0∫fdμ=0 and ∫⟨u,x⟩f(x) dμ=0\int\langle u,x\rangle f(x)\,d\mu=0∫⟨u,x⟩f(x)dμ=0 for all uuu satisfies

∥Ad(f)∥2≤b(d!)2(toReal⁡(∥f∥2,μext))2.\|A_d(f)\|^2\le\frac{b}{(d!)^2}\left(\operatorname{toReal}\bigl(\|f\|_{2,\mu}^{\mathrm{ext}}\bigr)\right)^2.∥Ad​(f)∥2≤(d!)2b​(toReal(∥f∥2,μext​))2.

Here the extended norm is eLpNorm, valued in [0,∞][0,\infty][0,∞]. This is a conditional extension from the stated normalized smooth estimate; no cumulant bound or universal KLS bound is asserted. All natural degrees ddd, including 000, are allowed.

Original Lean declaration header

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

theorem norm_coordTensor_taylorTensor_sq_le_of_smooth {d : ℕ} {b : ℝ} (hb : 0 ≤ b) {n : ℕ}
    (V : EuclideanSpace ℝ (Fin n) → ℝ) {a b' : ℝ} (hV : KLS.RegularPotential V a b')
    (hiso : KLS.Isotropic hV.law)
    (h113 : ∀ g : EuclideanSpace ℝ (Fin n) → ℝ, ContDiff ℝ 2 g →
      (∃ M : ℝ, ∀ x, ‖fderiv ℝ (fderiv ℝ g) x‖ ≤ M) → MemLp g 2 (hV.law : Measure _) →
      ∫ x, g x ∂(hV.law : Measure _) = 0 →
      ∫ x, g x ^ 2 ∂(hV.law : Measure _) = 1 →
      (∀ u, ∫ x, ⟪u, x⟫ * g x ∂(hV.law : Measure _) = 0) →
      ‖coordTensor (EuclideanSpace.basisFun (Fin n) ℝ) (taylorTensor (hV.law : Measure _) g d)‖ ^ 2 ≤
        b / (d.factorial : ℝ) ^ 2)
    {f : EuclideanSpace ℝ (Fin n) → ℝ} (hf : MemLp f 2 (hV.law : Measure _))
    (hf0 : ∫ x, f x ∂(hV.law : Measure _) = 0)
    (hfx : ∀ u, ∫ x, ⟪u, x⟫ * f x ∂(hV.law : Measure _) = 0) :
    ‖coordTensor (EuclideanSpace.basisFun (Fin n) ℝ) (taylorTensor (hV.law : Measure _) f d)‖ ^ 2 ≤
      b / (d.factorial : ℝ) ^ 2 * (eLpNorm f 2 (hV.law : Measure _)).toReal ^ 2

Module navigation

Module: KLS/BKL/TaylorBound.

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

Selected supporting theorems: exists_norm_coordTensor_taylorTensor_le, taylorTensor_add, taylorTensor_const_mul, integrable_exp_mul_norm, contDiff_affineOrthPart.

Next: norm_coordTensor_taylorTensor_sq_le_two_mul.

Source excerpt, lines 387–401 · Frozen source 408915f.

Preamble
import Definitions.Def_KLSModular_FunctionalInequalities_KLS_BKL_TaylorBound

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

theorem FunctionalInequalities.KLS.LogConcave.Suspension.norm_coordTensor_taylorTensor_sq_le_of_smooth_readable {d : ℕ} {b : ℝ} (hb : 0 ≤ b) {n : ℕ}
    (V : EuclideanSpace ℝ (Fin n) → ℝ) {a b' : ℝ} (hV : KLS.RegularPotential V a b')
    (hiso : KLS.Isotropic hV.law)
    (h113 : ∀ g : EuclideanSpace ℝ (Fin n) → ℝ, ContDiff ℝ 2 g →
      (∃ M : ℝ, ∀ x, ‖fderiv ℝ (fderiv ℝ g) x‖ ≤ M) → MemLp g 2 (hV.law : Measure _) →
      ∫ x, g x ∂(hV.law : Measure _) = 0 →
      ∫ x, g x ^ 2 ∂(hV.law : Measure _) = 1 →
      (∀ u, ∫ x, ⟪u, x⟫ * g x ∂(hV.law : Measure _) = 0) →
      ‖coordTensor (EuclideanSpace.basisFun (Fin n) ℝ) (taylorTensor (hV.law : Measure _) g d)‖ ^ 2 ≤
        b / (d.factorial : ℝ) ^ 2)
    {f : EuclideanSpace ℝ (Fin n) → ℝ} (hf : MemLp f 2 (hV.law : Measure _))
    (hf0 : ∫ x, f x ∂(hV.law : Measure _) = 0)
    (hfx : ∀ u, ∫ x, ⟪u, x⟫ * f x ∂(hV.law : Measure _) = 0) :
    ‖coordTensor (EuclideanSpace.basisFun (Fin n) ℝ) (taylorTensor (hV.law : Measure _) f d)‖ ^ 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#L385-L458 (repository human-ai-mathematics/kls-lean, commit 408915f, module `FunctionalInequalities.KLS.BKL.TaylorBound`, declaration `FunctionalInequalities.KLS.LogConcave.Suspension.norm_coordTensor_taylorTensor_sq_le_of_smooth`; the repository is private at upload time).

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