Covering the Euclidean Plane by a Pair of Trees
Abstract
A {-stretch tree cover} of a metric space , for a parameter , is a collection of trees such that every pair of points has a -stretch path in one of the trees. Tree covers provide an important sketching tool that has found various applications over the years. The celebrated {Dumbbell Theorem} by Arya et al. [STOC'95] states that any set of points in the Euclidean plane admits a -stretch tree cover with trees. This result extends to any (constant) dimension and was also generalized for arbitrary doubling metrics by Bartal et al. [ICALP'19]. Although the number of trees provided by the Dumbbell Theorem is constant, this constant is not small, even for a stretch significantly larger than . At the other extreme, any single tree on the vertices of a regular -polygon must incur a stretch of . Using known results of ultrametric embeddings, one can easily get a stretch of using two trees. The question of whether a low stretch can be achieved using two trees has remained illusive, even in the Euclidean plane. In this work, we resolve this fundamental question in the affirmative by presenting a constant-stretch cover with a pair of trees, for any set of points in the Euclidean plane. Our main technical contribution is a {surprisingly simple} Steiner construction, for which we provide a {tight} stretch analysis of . The Steiner points can be easily pruned if one is willing to increase the stretch by a small constant. Moreover, we can bound the maximum degree of the construction by a constant. Our result thus provides a simple yet effective reduction tool -- for problems that concern approximate distances -- from the Euclidean plane to a pair of trees. To demonstrate the potential power of this tool, we present some applications [...]
Keywords
Cite
@article{arxiv.2508.11507,
title = {Covering the Euclidean Plane by a Pair of Trees},
author = {Hung Le and Lazar Milenković and Shay Solomon and Tianyi Zhang},
journal= {arXiv preprint arXiv:2508.11507},
year = {2025}
}
Comments
Abstract shortened to meet arXiv limit. Started to circulate in July 2025