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Flat simplices and kissing polytopes

Antoine Deza, Lionel Pournin

TL;DR

The paper investigates how flat a lattice $(d,k)$-simplex can be inside the hypercube $[0,k]^d$ by studying the minimal distance $\varepsilon_i(d,k)$ between opposite faces and the kissing-distance $\varepsilon(d,k)$. It develops an algebraic framework using a $d\times(d-1)$ matrix $A$ and an integer vector $b$ to express the unbounded distance $\varepsilon_i^u(d,k)$ as $\|A(A^T A)^{-1}A^Tb-b\|$, and establishes monotonicity properties and relations to projections. The authors derive improved universal lower bounds on $\varepsilon(d,k)$ via bounds on $\det(A^T A)$, including a sharper bound when $i=0$ and $k=1$, and show that for $d=3$ the exact value $\varepsilon_0(3,k)=\frac{1}{\sqrt{3k^4-4k^3+4k^2-2k+1}}$ holds for all $k\ge 2$, with a reduction to a finite combinatorial set and a unique extremal configuration up to symmetry. These results advance the understanding of kissing polytopes and flat simplices in lattice polytopes, providing explicit formulas and a scalable computational approach.

Abstract

We consider how flat a lattice simplex contained in the hypercube $[0,k]^d$ can be. This question is related to the notion of kissing polytopes: two lattice polytopes contained in the hypercube $[0,k]^d$ are kissing when they are disjoint but their distance is as small as possible. We show that the smallest possible distance of a lattice point $P$ contained in the cube $[0,k]^3$ to a lattice triangle in the same cube that does not contain $P$ is $$ \frac{1}{\sqrt{3k^4-4k^3+4k^2-2k+1}} $$ when $k$ is at least $2$. We also improve the known lower bounds on the distance of kissing polytopes for $d$ at least $4$ and $k$ at least $2$.

Flat simplices and kissing polytopes

TL;DR

The paper investigates how flat a lattice -simplex can be inside the hypercube by studying the minimal distance between opposite faces and the kissing-distance . It develops an algebraic framework using a matrix and an integer vector to express the unbounded distance as , and establishes monotonicity properties and relations to projections. The authors derive improved universal lower bounds on via bounds on , including a sharper bound when and , and show that for the exact value holds for all , with a reduction to a finite combinatorial set and a unique extremal configuration up to symmetry. These results advance the understanding of kissing polytopes and flat simplices in lattice polytopes, providing explicit formulas and a scalable computational approach.

Abstract

We consider how flat a lattice simplex contained in the hypercube can be. This question is related to the notion of kissing polytopes: two lattice polytopes contained in the hypercube are kissing when they are disjoint but their distance is as small as possible. We show that the smallest possible distance of a lattice point contained in the cube to a lattice triangle in the same cube that does not contain is when is at least . We also improve the known lower bounds on the distance of kissing polytopes for at least and at least .
Paper Structure (5 sections, 18 theorems, 34 equations, 1 figure, 4 tables)

This paper contains 5 sections, 18 theorems, 34 equations, 1 figure, 4 tables.

Key Result

Theorem 1.1

If $k$ is at least $2$, then and, up to symmetry, this distance is uniquely achieved between the point $(1,1,1)$ and the triangle with vertices $(0,0,1)$, $(k,k-1,0)$, and $(0,k,k)$

Figures (1)

  • Figure 1: A lattice point and a lattice triangle that achieve $\varepsilon_0(3,k)$ for $k$ equal to $1$, $2$, and at least $3$ (from left to right).

Theorems & Definitions (23)

  • Theorem 1.1
  • Theorem 1.2
  • Theorem 2.1
  • Remark 2.2
  • Corollary 2.3
  • Remark 2.4
  • Theorem 2.5
  • Remark 2.6
  • Lemma 2.7
  • Remark 2.8
  • ...and 13 more