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Eventual Affine-Maximum Lower Bound for Legendre Transforms

Proved
FunctionalInequalities.Analysis.eventually_affineMaximum_sub_le_legendre_readable

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

functional-inequalitieskls-conjecturekls-modularkls-readablelog-concave

This formalizes equation (60) of Cordero-Erausquin–Klartag, Moment measures (arXiv:1304.0630v1).

Let EEE be a real inner-product normed space, let ϕj:E→R‾\phi_j:E\to\overline{\mathbb R}ϕj​:E→R be a sequence of extended-real functions, and let ψ:E→R‾\psi:E\to\overline{\mathbb R}ψ:E→R. Let s⊂Es\subset Es⊂E be a nonempty finite set. Assume every ψ(x)\psi(x)ψ(x) for x∈sx\in sx∈s is neither +∞+\infty+∞ nor −∞-\infty−∞, and that ϕj(x)→ψ(x)\phi_j(x)\to\psi(x)ϕj​(x)→ψ(x) at each x∈sx\in sx∈s. For ε>0\varepsilon>0ε>0, eventually in jjj and for every y∈Ey\in Ey∈E,

(affineMaximum⁡(s,ψ∣stoReal,y)−ε)≤(ϕj)∗(y),\bigl(\operatorname{affineMaximum}(s,\psi_{|s}^{\mathrm{toReal}},y)-\varepsilon\bigr) \le (\phi_j)^*(y),(affineMaximum(s,ψ∣stoReal​,y)−ε)≤(ϕj​)∗(y),

where the left side is embedded into EReal and (ϕj)∗(\phi_j)^*(ϕj​)∗ is legendre (φ j).

The statement provides a bound uniform in the dual point yyy, obtained from pointwise convergence at finitely many vertices. It is a geometric approximation tool for Legendre transforms.

Original Lean declaration header

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

theorem eventually_affineMaximum_sub_le_legendre
    (φ : ℕ → E → EReal) (ψ : E → EReal) (s : Finset E) (hs : s.Nonempty)
    (hfin : ∀ x ∈ s, ψ x ≠ ⊤ ∧ ψ x ≠ ⊥)
    (hlim : ∀ x ∈ s, Tendsto (fun j => φ j x) atTop (𝓝 (ψ x)))
    {ε : ℝ} (hε : 0 < ε) :
    ∀ᶠ j in atTop, ∀ y : E,
      ((affineMaximum s hs (fun x => (ψ x).toReal) y - ε : ℝ) : EReal) ≤
        legendre (φ j) y

Module navigation

Module: Analysis/Convex/AffineMaximum.

Definition modules: Analysis/Convex/Legendre.

Previous: affineMaximum_coercive.

Source excerpt, lines 102–109 · Frozen source 408915f.

Preamble
import Definitions.Def_KLSModular_FunctionalInequalities_Analysis_Convex_AffineMaximum

open Filter Set
open scoped Topology
variable {E : Type*} [NormedAddCommGroup E] [InnerProductSpace ℝ E]
Formal statement

theorem FunctionalInequalities.Analysis.eventually_affineMaximum_sub_le_legendre_readable
    (φ : ℕ → E → EReal) (ψ : E → EReal) (s : Finset E) (hs : s.Nonempty)
    (hfin : ∀ x ∈ s, ψ x ≠ ⊤ ∧ ψ x ≠ ⊥)
    (hlim : ∀ x ∈ s, Tendsto (fun j => φ j x) atTop (𝓝 (ψ x)))
    {ε : ℝ} (hε : 0 < ε) :
    ∀ᶠ j in atTop, ∀ y : E,
      ((affineMaximum s hs (fun x => (ψ x).toReal) y - ε : ℝ) : EReal) ≤
        legendre (φ j) y := by sorry
Source
Lean source: https://github.com/human-ai-mathematics/kls-lean/blob/408915f/formalization/FunctionalInequalities/Analysis/Convex/AffineMaximum.lean#L100-L131 (repository human-ai-mathematics/kls-lean, commit 408915f, module `FunctionalInequalities.Analysis.Convex.AffineMaximum`, declaration `FunctionalInequalities.Analysis.eventually_affineMaximum_sub_le_legendre`; the repository is private at upload time).

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