Near-optimal distance emulator for planar graphs

Hsien Chih Chang, Paweł Gawrychowski, Shay Mozes, Oren Weimann

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Given a graph G and a set of terminals T, a distance emulator of G is another graph H (not necessarily a subgraph of G) containing T, such that all the pairwise distances in G between vertices of T are preserved in H. An important open question is to find the smallest possible distance emulator. We prove that, given any subset of k terminals in an n-vertex undirected unweighted planar graph, we can construct in Õ(n) time a distance emulator of size Õ(min(k2, √k · n)). This is optimal up to logarithmic factors. The existence of such distance emulator provides a straightforward framework to solve distance-related problems on planar graphs: Replace the input graph with the distance emulator, and apply whatever algorithm available to the resulting emulator. In particular, our result implies that, on any unweighted undirected planar graph, one can compute ll-pairs shortest path distances among k terminals in Õ(n) time when k = O(n1/3).

Original languageEnglish
Title of host publication26th European Symposium on Algorithms, ESA 2018
EditorsHannah Bast, Grzegorz Herman, Yossi Azar
PublisherSchloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing
ISBN (Print)9783959770811
DOIs
StatePublished - 1 Aug 2018
Event26th European Symposium on Algorithms, ESA 2018 - Helsinki, Finland
Duration: 20 Aug 201822 Aug 2018

Publication series

NameLeibniz International Proceedings in Informatics, LIPIcs
Volume112
ISSN (Print)1868-8969

Conference

Conference26th European Symposium on Algorithms, ESA 2018
Country/TerritoryFinland
CityHelsinki
Period20/08/1822/08/18

Bibliographical note

Publisher Copyright:
© Steven Chaplick, Minati De, Alexander Ravsky, and Joachim Spoerhase.

Keywords

  • Distance emulators
  • Distance oracles
  • Distance preservers
  • Metric compression
  • Planar graphs
  • Shortest paths

ASJC Scopus subject areas

  • Software

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