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Two Below-Level Contacts Coincide

Proved
FunctionalInequalities.Analysis.eq_of_two_contacts_below_readable

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

functional-inequalitieskls-conjecturekls-modularkls-readablelog-concave

This is an auxiliary contact-point uniqueness lemma.

Let EEE be a nontrivial finite-dimensional real inner-product space with its Borel measurable structure, and let u:E→Ru:E\to\mathbb Ru:E→R be convex. Fix x0,p∈Ex_0,p\in Ex0​,p∈E and assume

u(x0)+⟨p,x−x0⟩≤u(x)for all x∈E.u(x_0)+\langle p,x-x_0\rangle\le u(x)\quad\text{for all }x\in E.u(x0​)+⟨p,x−x0​⟩≤u(x)for all x∈E.

Let R∈RR\in\mathbb RR∈R, assume {x:u(x)≤R}\{x:u(x)\le R\}{x:u(x)≤R} is compact, and suppose that every compact Q⊆{x:u(x)<R}Q\subseteq\{x:u(x)<R\}Q⊆{x:u(x)<R} admits two-sided ENNReal volume bounds for open GGG with G‾⊆Q\overline G\subseteq QG⊆Q:

ofReal⁡(a) vol⁡(G)≤vol⁡(∂u(G))≤ofReal⁡(b) vol⁡(G),\operatorname{ofReal}(a)\,\operatorname{vol}(G)\le\operatorname{vol}(\partial u(G))\le\operatorname{ofReal}(b)\,\operatorname{vol}(G),ofReal(a)vol(G)≤vol(∂u(G))≤ofReal(b)vol(G),

with a>0a>0a>0. If u(x0)<Ru(x_0)<Ru(x0​)<R, u(y)<Ru(y)<Ru(y)<R, and

u(y)=u(x0)+⟨p,y−x0⟩,u(y)=u(x_0)+\langle p,y-x_0\rangle,u(y)=u(x0​)+⟨p,y−x0​⟩,

then

y=x0.y=x_0.y=x0​.

This technical lemma is used to turn strict exposure into uniqueness of contacts below a level.

Original Lean declaration header

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

private lemma eq_of_two_contacts_below {u : E → ℝ}
    (hconv : ConvexOn ℝ univ u) {x₀ p : E}
    (hp : ∀ x, u x₀ + ⟪p, x - x₀⟫ ≤ u x) {R : ℝ}
    (hK : IsCompact {x | u x ≤ R})
    (hB : ∀ Q : Set E, IsCompact Q → Q ⊆ {x | u x < R} →
      ∃ a b : ℝ, 0 < a ∧ ∀ G : Set E, IsOpen G → closure G ⊆ Q →
        ENNReal.ofReal a * (volume : Measure E) G ≤
          (volume : Measure E) (subgradientImage u G) ∧
        (volume : Measure E) (subgradientImage u G) ≤
          ENNReal.ofReal b * (volume : Measure E) G)
    (hxR : u x₀ < R) {y : E} (hyR : u y < R)
    (hy : u y = u x₀ + ⟪p, y - x₀⟫) : y = x₀

Module navigation

Module: Analysis/Convex/Caffarelli.

Definition modules: Analysis/Convex/Subgradient.

Supporting theorems: contactSet_eq_singleton_of_exposed_of_local_bounds, exists_exposed_contact_of_lt.

Previous: subgradientImage_truncatedConjugate_eq · Next: eq_of_contact_of_sublevel_bounds.

Source excerpt, lines 1758–1769 · Frozen source 408915f.

Preamble
import Definitions.Def_KLSModular_FunctionalInequalities_Analysis_Convex_Caffarelli

open MeasureTheory Set Metric Filter
open scoped RealInnerProductSpace ENNReal Topology
variable {E : Type*}
variable [NormedAddCommGroup E] [InnerProductSpace ℝ E]
variable [FiniteDimensional ℝ E] [Nontrivial E] [MeasurableSpace E] [BorelSpace E]
Formal statement
 lemma FunctionalInequalities.Analysis.eq_of_two_contacts_below_readable {u : E → ℝ}
    (hconv : ConvexOn ℝ univ u) {x₀ p : E}
    (hp : ∀ x, u x₀ + ⟪p, x - x₀⟫ ≤ u x) {R : ℝ}
    (hK : IsCompact {x | u x ≤ R})
    (hB : ∀ Q : Set E, IsCompact Q → Q ⊆ {x | u x < R} →
      ∃ a b : ℝ, 0 < a ∧ ∀ G : Set E, IsOpen G → closure G ⊆ Q →
        ENNReal.ofReal a * (volume : Measure E) G ≤
          (volume : Measure E) (subgradientImage u G) ∧
        (volume : Measure E) (subgradientImage u G) ≤
          ENNReal.ofReal b * (volume : Measure E) G)
    (hxR : u x₀ < R) {y : E} (hyR : u y < R)
    (hy : u y = u x₀ + ⟪p, y - x₀⟫) : y = x₀ := by sorry
Source
Lean source: https://github.com/human-ai-mathematics/kls-lean/blob/408915f/formalization/FunctionalInequalities/Analysis/Convex/Caffarelli.lean#L1758-L1911 (repository human-ai-mathematics/kls-lean, commit 408915f, module `FunctionalInequalities.Analysis.Convex.Caffarelli`, declaration `_private.FunctionalInequalities.Analysis.Convex.Caffarelli.0.FunctionalInequalities.Analysis.eq_of_two_contacts_below`; the repository is private at upload time).

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