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A uniform lower bound for the cyclic box's column-combination map

Proved
HlawkaSchatten.DiagonalConstruction.euclideanSq_apply_lower

by savarin · Sep 28, 2026 · Mathlib 0df444a (Lean v4.33.1)

box-geometrycoordinate-geometryhlawka-schattenlinear-algebra

For a triple XXX — three columns X0,X1,X2∈R3X_0, X_1, X_2 \in \mathbb{R}^3X0​,X1​,X2​∈R3, with Xj,iX_{j,i}Xj,i​ denoting coordinate iii of column jjj (Lean: X j i) — write

∥a∥22:=∑iai2\lVert a \rVert_2^2 := \sum_i a_i^2∥a∥22​:=i∑​ai2​

for the squared Euclidean norm of a∈R3a \in \mathbb{R}^3a∈R3, and let

(applyTriple X a)i:=∑jaj Xj,i(\mathrm{applyTriple}\,X\,a)_i := \sum_j a_j\,X_{j,i}(applyTripleXa)i​:=j∑​aj​Xj,i​

be the linear combination a0X0+a1X1+a2X2a_0X_0+a_1X_1+a_2X_2a0​X0​+a1​X1​+a2​X2​ of the three columns of XXX with weights aaa, read coordinatewise. Let cyclicCenter\mathrm{cyclicCenter}cyclicCenter be the triple whose jjj-th column has −1-1−1 in position jjj and 111 in the other two positions (columns (−1,1,1)(-1,1,1)(−1,1,1), (1,−1,1)(1,-1,1)(1,−1,1), (1,1,−1)(1,1,-1)(1,1,−1)), and let

entryBox:={X:∣Xj,i−cyclicCenterj,i∣≤19/100 for all j,i}.\mathrm{entryBox} := \{X : |X_{j,i} - \mathrm{cyclicCenter}_{j,i}| \le 19/100 \text{ for all } j, i\}.entryBox:={X:∣Xj,i​−cyclicCenterj,i​∣≤19/100 for all j,i}.

For every X∈entryBoxX \in \mathrm{entryBox}X∈entryBox and every a∈R3a \in \mathbb{R}^3a∈R3,

(43100)2∥a∥22  ≤  ∥applyTriple X a∥22.\left(\frac{43}{100}\right)^2 \lVert a \rVert_2^2 \;\le\; \lVert \mathrm{applyTriple}\,X\,a \rVert_2^2.(10043​)2∥a∥22​≤∥applyTripleXa∥22​.

Equivalently, the Euclidean norm of applyTriple X a\mathrm{applyTriple}\,X\,aapplyTripleXa is at least 43/10043/10043/100 times the Euclidean norm of aaa.

This is a uniform bound on how much the linear map a↦applyTriple X aa \mapsto \mathrm{applyTriple}\,X\,aa↦applyTripleXa can shrink lengths, valid simultaneously for every XXX in the box: whichever such XXX is used, applying it to any weight vector aaa never produces an output shorter than 43/10043/10043/100 of aaa's own length. The bound is what lets a later estimate recover the size of a perturbation to XXX from the sizes of simpler, per-column pieces.

Preamble
import Definitions.Def_HlawkaSchatten_DiagonalConstruction_BoxGeometry
import Definitions.Def_HlawkaSchatten_DiagonalConstruction_Localization
import Mathlib.Analysis.Complex.ExponentialBounds
import Mathlib.Analysis.Convex.Deriv
import Mathlib.Analysis.Convex.Function
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.InnerProductSpace.Basic
import Mathlib.Analysis.InnerProductSpace.Dual
import Mathlib.Analysis.InnerProductSpace.NormPow
import Mathlib.Analysis.Normed.Lp.PiLp
import Mathlib.Analysis.SpecialFunctions.Pow.Continuity
import Mathlib.Data.Fin.VecNotation
import Mathlib.Data.Real.Basic
import Mathlib.Data.Sign.Basic
import Mathlib.Tactic.Abel
import Mathlib.Tactic.FieldSimp
import Mathlib.Tactic.Linarith
import Mathlib.Tactic.LinearCombination
import Mathlib.Topology.Instances.Sign
import Mathlib.Topology.Order.Compact

/-
Copyright (c) 2026 Ezzeri Esa. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Ezzeri Esa
-/

/-!
# Quadratic geometry of the cyclic box

The joint radial estimate uses the convenient bound `300`. This weaker
intermediate constant leaves the exponent cutoff unchanged.
-/

open HlawkaSchatten.DiagonalConstruction
Formal statement
theorem HlawkaSchatten.DiagonalConstruction.euclideanSq_apply_lower {X : Triple} (hX : X ∈ entryBox) (a : Fin 3 → ℝ) :
    (43 / 100 : ℝ) ^ 2 * euclideanSq a ≤ euclideanSq (applyTriple X a) := by sorry
Source
https://github.com/savarin/hlawka-schatten/blob/79aa498bfcf7b22bd91d771fb32ec278e2d4704b/HlawkaSchatten/DiagonalConstruction/BoxGeometry.lean#L93-L112
Human review
  • Endorsed by Shuze Chen · Sep 29, 2026

    Confirmed by the moderator at approval.

  • Endorsed by savarin · Sep 29, 2026

    Confirmed by the mission captain (proposal self-audit).

  • Endorsed by marwahaha · Sep 30, 2026

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