Coercive Lower Bound for a Finite Affine Maximum
ProvedFunctionalInequalities.Analysis.affineMaximum_coercive_readablefunctional-inequalitieskls-conjecturekls-modularkls-readablelog-concave
This is a geometric coercivity statement for a finite affine maximum.
Let be a finite-dimensional real inner-product space, let be a nonempty finite set, and assume
Then there exists such that, for every function , every , and every , if for all , then
where affineMaximum is the maximum of over . The constant depends on the finite set and its neighborhood condition, but not on , , or . The vertex intercept bound is required only on the elements of .
Original Lean declaration header
Within namespace FunctionalInequalities.Analysis. Shown in its original module context. Proof omitted.
theorem affineMaximum_coercive [FiniteDimensional ℝ E]
(s : Finset E) (hs : s.Nonempty)
(h0 : (0 : E) ∈ interior (convexHull ℝ (↑s : Set E))) :
∃ c : ℝ, 0 < c ∧ ∀ (a : E → ℝ) (M : ℝ), (∀ x ∈ s, a x ≤ M) →
∀ y, c * ‖y‖ - M ≤ affineMaximum s hs a y
Module navigation
Module: Analysis/Convex/AffineMaximum.
Next: eventually_affineMaximum_sub_le_legendre.
Source excerpt, lines 53–57 · Frozen source 408915f.
Preamble
import Definitions.Def_KLSModular_FunctionalInequalities_Analysis_Convex_AffineMaximum
variable {E : Type*} [NormedAddCommGroup E] [InnerProductSpace ℝ E]
Formal statement
theorem FunctionalInequalities.Analysis.affineMaximum_coercive_readable [FiniteDimensional ℝ E]
(s : Finset E) (hs : s.Nonempty)
(h0 : (0 : E) ∈ interior (convexHull ℝ (↑s : Set E))) :
∃ c : ℝ, 0 < c ∧ ∀ (a : E → ℝ) (M : ℝ), (∀ x ∈ s, a x ≤ M) →
∀ y, c * ‖y‖ - M ≤ affineMaximum s hs a y := by sorry
Source
Lean source: https://github.com/human-ai-mathematics/kls-lean/blob/408915f/formalization/FunctionalInequalities/Analysis/Convex/AffineMaximum.lean#L51-L98 (repository human-ai-mathematics/kls-lean, commit 408915f, module `FunctionalInequalities.Analysis.Convex.AffineMaximum`, declaration `FunctionalInequalities.Analysis.affineMaximum_coercive`; the repository is private at upload time).