Greedy Spanners in Euclidean Spaces Admit Sublinear Separators
Abstract
The greedy spanner in a low dimensional Euclidean space is a fundamental geometric construction that has been extensively studied over three decades as it possesses the two most basic properties of a good spanner: constant maximum degree and constant lightness. Recently, Eppstein and Khodabandeh showed that the greedy spanner in admits a sublinear separator in a strong sense: any subgraph of vertices of the greedy spanner in has a separator of size . Their technique is inherently planar and is not extensible to higher dimensions. They left showing the existence of a small separator for the greedy spanner in for any constant as an open problem. In this paper, we resolve the problem of Eppstein and Khodabandeh by showing that any subgraph of vertices of the greedy spanner in has a separator of size . We introduce a new technique that gives a simple characterization for any geometric graph to have a sublinear separator that we dub -lanky: a geometric graph is -lanky if any ball of radius cuts at most edges of length at least in the graph. We show that any -lanky geometric graph of vertices in has a separator of size . We then derive our main result by showing that the greedy spanner is -lanky. We indeed obtain a more general result that applies to unit ball graphs and point sets of low fractal dimensions in . Our technique naturally extends to doubling metrics. We use the -lanky characterization to show that there exists a -spanner for doubling metrics of dimension with a constant maximum degree and a separator of size ; this result resolves an open problem posed by Abam and Har-Peled a decade ago.
Cite
@article{arxiv.2107.06490,
title = {Greedy Spanners in Euclidean Spaces Admit Sublinear Separators},
author = {Hung Le and Cuong Than},
journal= {arXiv preprint arXiv:2107.06490},
year = {2024}
}
Comments
Adding derandomization (Section 4.4). We thank an anony- mous reviewer of SODA22 for suggesting derandomizing Theorem 7 and pointing us to [EMT95], which leads to results in Section 4.4