Supporting Direction at the Nearest Frontier
ProvedFunctionalInequalities.Analysis.exists_unit_inner_le_infDist_frontier_readableThis formalizes the supporting half-space estimate for a bounded open convex set.
Let be a nontrivial finite-dimensional real inner-product space, let be open, convex, and bounded, and let . Then there exists a unit vector such that every satisfies
The declaration is exists_unit_inner_le_infDist_frontier_readable. Here infDist is the distance from 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)
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Module: Analysis/Convex/Alexandrov.
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Source excerpt, lines 624–627 · Frozen source 408915f.
import Definitions.Def_KLSModular_FunctionalInequalities_Analysis_Convex_Alexandrov open Set Metric open scoped RealInnerProductSpace
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