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Multilinear Contraction in the Middle Slot

Proved
FunctionalInequalities.KLS.BKL.cumulant_middle_sum_readable

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

functional-inequalitieskls-conjecturekls-modularkls-readablelog-concave

This is a finite-dimensional multilinear algebra lemma used to contract a middle tensor slot.

Let T:(Rn)3→RT:(\mathbb{R}^n)^3\to\mathbb{R}T:(Rn)3→R be a continuous trilinear map, let x,z,w∈Rnx,z,w\in\mathbb{R}^nx,z,w∈Rn, let v:Fin⁡(n)→Rv:\operatorname{Fin}(n)\to\mathbb{R}v:Fin(n)→R, and let b:Fin⁡(n)→Rnb:\operatorname{Fin}(n)\to\mathbb{R}^nb:Fin(n)→Rn. If

w=∑jvjbj,w=\sum_j v_j b_j,w=j∑​vj​bj​,

then

∑jT(x,bj,z)vj=T(x,w,z).\sum_j T(x,b_j,z)v_j=T(x,w,z).j∑​T(x,bj​,z)vj​=T(x,w,z).

This auxiliary lemma records linearity in the middle argument and is used to rewrite finite sums of third-order cumulant terms.

Original Lean declaration header

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

private lemma cumulant_middle_sum
    (T : ContinuousMultilinearMap ℝ (fun _ : Fin 3 => EuclideanSpace ℝ (Fin n)) ℝ)
    (x z : EuclideanSpace ℝ (Fin n)) (v : Fin n → ℝ)
    (b : Fin n → EuclideanSpace ℝ (Fin n))
    (w : EuclideanSpace ℝ (Fin n))
    (hw : w = ∑ j, v j • b j) :
    ∑ j, T ![x, b j, z] * v j = T ![x, w, z]

Module navigation

Module: KLS/BKL/Localization/NoiseBound.

Next: cumulantEnergy_succ_eq.

Source excerpt, lines 24–30 · Frozen source 408915f.

Preamble
import Definitions.Def_KLSModular_FunctionalInequalities_KLS_BKL_Localization_NoiseBound

variable {n : ℕ}
Formal statement
 lemma FunctionalInequalities.KLS.BKL.cumulant_middle_sum_readable
    (T : ContinuousMultilinearMap ℝ (fun _ : Fin 3 => EuclideanSpace ℝ (Fin n)) ℝ)
    (x z : EuclideanSpace ℝ (Fin n)) (v : Fin n → ℝ)
    (b : Fin n → EuclideanSpace ℝ (Fin n))
    (w : EuclideanSpace ℝ (Fin n))
    (hw : w = ∑ j, v j • b j) :
    ∑ j, T ![x, b j, z] * v j = T ![x, w, z] := by sorry
Source
Lean source: https://github.com/human-ai-mathematics/kls-lean/blob/408915f/formalization/FunctionalInequalities/KLS/BKL/Localization/NoiseBound.lean#L24-L83 (repository human-ai-mathematics/kls-lean, commit 408915f, module `FunctionalInequalities.KLS.BKL.Localization.NoiseBound`, declaration `_private.FunctionalInequalities.KLS.BKL.Localization.NoiseBound.0.FunctionalInequalities.KLS.BKL.cumulant_middle_sum`; the repository is private at upload time).

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