English

Space-Efficient Algorithms for Reachability in Geometric Graphs

Computational Complexity 2021-07-06 v2 Computational Geometry

Abstract

The problem of graph Reachability is to decide whether there is a path from one vertex to another in a given graph. In this paper, we study the Reachability problem on three distinct graph families - intersection graphs of Jordan regions, unit contact disk graphs (penny graphs), and chordal graphs. For each of these graph families, we present space-efficient algorithms for the Reachability problem. For intersection graphs of Jordan regions, we show how to obtain a "good" vertex separator in a space-efficient manner and use it to solve the Reachability in polynomial time and O(m1/2logn)O(m^{1/2}\log n) space, where nn is the number of Jordan regions, and mm is the total number of crossings among the regions. We use a similar approach for chordal graphs and obtain a polynomial-time and O(m1/2logn)O(m^{1/2}\log n) space algorithm, where nn and mm are the number of vertices and edges, respectively. However, we use a more involved technique for unit contact disk graphs (penny graphs) and obtain a better algorithm. We show that for every ϵ>0\epsilon> 0, there exists a polynomial-time algorithm that can solve Reachability in an nn vertex directed penny graph, using O(n1/4+ϵ)O(n^{1/4+\epsilon}) space. We note that the method used to solve penny graphs does not extend naturally to the class of geometric intersection graphs that include arbitrary size cliques.

Keywords

Cite

@article{arxiv.2101.05235,
  title  = {Space-Efficient Algorithms for Reachability in Geometric Graphs},
  author = {Sujoy Bhore and Rahul Jain},
  journal= {arXiv preprint arXiv:2101.05235},
  year   = {2021}
}
R2 v1 2026-06-23T22:08:07.941Z