Finding large point subsets that avoid given distances in the plane

Avoiding Distances

Computational GeometryDiscrete Mathematics

Summary

This paper looks at how to pick a large group of points from a set so that none of the pairs are separated by specific distances. The authors find ways to efficiently select points that avoid certain distances and give exact proportions of points that can be kept under different distance-avoiding conditions. They also provide fast algorithms for finding these subsets and show how the methods can work in higher dimensions. This helps understand geometric arrangements and solve problems related to independent sets in graphs derived from distances.

What this means in practice

Authors

Adrian Dumitrescu, Zsolt Lángi

Abstract

Given a finite planar point set $X=\{x_1,\ldots,x_n\}$, let $a_1<a_2< \cdots < a_s$ denote the $s \leq {n \choose 2}$ different (Euclidean) distances between points in $X$. The aim is to retain as many of the points as possible such that certain imposed inter-pair distances are avoided. For example, we show that: (A) Given a set $X$ of $n$ points in the plane, an independent set of size $0.2293 n$ in the unit distance graph determined by $X$ can be found in $O(n^2)$ time. For any fixed $k \in \mathbf{N}$ there exists a constant $c_k>0$ such that for any set $X$ of $n$ points in the plane, and set $D$ of size $k$, there exists a subset $X' \subseteq X$ of size $|X'| \geq c_k |X|$ in which no pair of points is at some distance in $D$ (we say that $X'$ avoids distances in $D$). Such a set can be found efficiently. (B) (i) There is a subset of $X$ of size $n/2$ that avoids the maximum distance; this bound cannot be improved. (ii) There is a subset of $X$ of size $8n/47$ that avoids both the minimum and maximum distance; on the other hand, there exists $X$ such that at most $5n/16$ points can be retained with this property. (iii) There is a subset of $X$ of size $n/7$ whose diameter is at most half the original diameter; on the other hand, there exists $X$ such that at most $n/6$ points can be retained with this property. (C) (i) For any $\varepsilon>0$, a $(1-\varepsilon)$-approximation for \textsc{MIS} in the minimum distance graph of $n$ points in the plane can be found in $2^{O(1/\varepsilon)} n^{O(1)}$ time. (ii) Given a set $X$ of $n$ points in the plane, a maximum independent set in the graph of diameters can be computed in $O(n^2)$ time. The techniques used to handle the planar case can be extended to $\mathbf{R}^d$ for any fixed dimension $d$.