Simplex Coordinates Bounded by Maximality
ProvedFunctionalInequalities.Analysis.abs_simplexCoord_le_one_of_max_readablefunctional-inequalitieskls-conjecturekls-modularkls-readablelog-concave
This is an auxiliary geometric statement for affine normalization of a convex body.
Let , let , and let . Write and assume:
- .
- For every , .
Then every has simplex coordinates satisfying
The declaration abs_simplexCoord_le_one_of_max_readable is a reusable box bound for coordinates relative to a maximal-volume nondegenerate simplex. No convexity of is assumed explicitly.
Original Lean declaration header
Within namespace FunctionalInequalities.Analysis. Shown in its original module context. Proof omitted.
theorem abs_simplexCoord_le_one_of_max {n : ℕ} {K : Set (EuclideanSpace ℝ (Fin n))}
{v : Fin (n + 1) → EuclideanSpace ℝ (Fin n)} (hv : ∀ i, v i ∈ K)
(hdet : (simplexEdgeMatrix v).det ≠ 0)
(hmax : ∀ w : Fin (n + 1) → EuclideanSpace ℝ (Fin n), (∀ i, w i ∈ K) →
|(simplexEdgeMatrix w).det| ≤ |(simplexEdgeMatrix v).det|)
{y : EuclideanSpace ℝ (Fin n)} (hy : y ∈ K) :
(∀ j, |((simplexEdgeMatrix v)⁻¹ *ᵥ (y - v 0 : EuclideanSpace ℝ (Fin n)).ofLp) j| ≤ 1) ∧
|1 - ∑ j, ((simplexEdgeMatrix v)⁻¹ *ᵥ (y - v 0 : EuclideanSpace ℝ (Fin n)).ofLp) j| ≤ 1
Module navigation
Module: Analysis/Convex/Normalization.
Previous: exists_max_simplexEdgeMatrix_det · Next: closedBall_subset_stdSimplex_and_box_subset_closedBall.
Source excerpt, lines 176–183 · Frozen source 408915f.
Preamble
import Definitions.Def_KLSModular_FunctionalInequalities_Analysis_Convex_Normalization open Set Matrix
Formal statement
theorem FunctionalInequalities.Analysis.abs_simplexCoord_le_one_of_max_readable {n : ℕ} {K : Set (EuclideanSpace ℝ (Fin n))}
{v : Fin (n + 1) → EuclideanSpace ℝ (Fin n)} (hv : ∀ i, v i ∈ K)
(hdet : (simplexEdgeMatrix v).det ≠ 0)
(hmax : ∀ w : Fin (n + 1) → EuclideanSpace ℝ (Fin n), (∀ i, w i ∈ K) →
|(simplexEdgeMatrix w).det| ≤ |(simplexEdgeMatrix v).det|)
{y : EuclideanSpace ℝ (Fin n)} (hy : y ∈ K) :
(∀ j, |((simplexEdgeMatrix v)⁻¹ *ᵥ (y - v 0 : EuclideanSpace ℝ (Fin n)).ofLp) j| ≤ 1) ∧
|1 - ∑ j, ((simplexEdgeMatrix v)⁻¹ *ᵥ (y - v 0 : EuclideanSpace ℝ (Fin n)).ofLp) j| ≤ 1 := by sorry
Source
Lean source: https://github.com/human-ai-mathematics/kls-lean/blob/408915f/formalization/FunctionalInequalities/Analysis/Convex/Normalization.lean#L172-L296 (repository human-ai-mathematics/kls-lean, commit 408915f, module `FunctionalInequalities.Analysis.Convex.Normalization`, declaration `FunctionalInequalities.Analysis.abs_simplexCoord_le_one_of_max`; the repository is private at upload time).