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Supporting Direction at the Nearest Frontier

Proved
FunctionalInequalities.Analysis.exists_unit_inner_le_infDist_frontier_readable

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

functional-inequalitieskls-conjecturekls-modularkls-readablelog-concave

This formalizes the supporting half-space estimate for a bounded open convex set.

Let EEE be a nontrivial finite-dimensional real inner-product space, let Ω⊆E\Omega\subseteq EΩ⊆E be open, convex, and bounded, and let x0∈Ωx_0\in\Omegax0​∈Ω. Then there exists a unit vector e∈Ee\in Ee∈E such that every x∈Ωx\in\Omegax∈Ω satisfies

⟨x−x0,e⟩≤infDist⁡(x0,∂Ω).\langle x-x_0,e\rangle\le\operatorname{infDist}(x_0,\partial\Omega).⟨x−x0​,e⟩≤infDist(x0​,∂Ω).

The declaration is exists_unit_inner_le_infDist_frontier_readable. Here infDist is the distance from x0x_0x0​ to the frontier, and the conclusion is existential rather than a uniqueness statement about the supporting direction.

Original Lean declaration header

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

theorem exists_unit_inner_le_infDist_frontier {E : Type*} [NormedAddCommGroup E]
    [InnerProductSpace ℝ E] [FiniteDimensional ℝ E] [Nontrivial E] {Ω : Set E} (hΩ : IsOpen Ω)
    (hc : Convex ℝ Ω) (hb : Bornology.IsBounded Ω) {x₀ : E} (hx₀ : x₀ ∈ Ω) :
    ∃ e : E, ‖e‖ = 1 ∧ ∀ x ∈ Ω, ⟪x - x₀, e⟫ ≤ infDist x₀ (frontier Ω)

Module navigation

Module: Analysis/Convex/Alexandrov.

Previous: mem_subgradientImage_of_affine_le_of_nonneg_frontier · Next: exists_pos_volume_convexHull_closedBall_union_singleton_ge.

Source excerpt, lines 624–627 · Frozen source 408915f.

Preamble
import Definitions.Def_KLSModular_FunctionalInequalities_Analysis_Convex_Alexandrov

open Set Metric
open scoped RealInnerProductSpace
Formal statement

theorem FunctionalInequalities.Analysis.exists_unit_inner_le_infDist_frontier_readable {E : Type*} [NormedAddCommGroup E]
    [InnerProductSpace ℝ E] [FiniteDimensional ℝ E] [Nontrivial E] {Ω : Set E} (hΩ : IsOpen Ω)
    (hc : Convex ℝ Ω) (hb : Bornology.IsBounded Ω) {x₀ : E} (hx₀ : x₀ ∈ Ω) :
    ∃ e : E, ‖e‖ = 1 ∧ ∀ x ∈ Ω, ⟪x - x₀, e⟫ ≤ infDist x₀ (frontier Ω) := by sorry
Source
Lean source: https://github.com/human-ai-mathematics/kls-lean/blob/408915f/formalization/FunctionalInequalities/Analysis/Convex/Alexandrov.lean#L620-L731 (repository human-ai-mathematics/kls-lean, commit 408915f, module `FunctionalInequalities.Analysis.Convex.Alexandrov`, declaration `FunctionalInequalities.Analysis.exists_unit_inner_le_infDist_frontier`; the repository is private at upload time).

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