Induced separation dimension

Emile Ziedan, Deepak Rajendraprasad, Rogers Mathew, Martin Charles Golumbic, Jérémie Dusart

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


A linear ordering of the vertices of a graph G separates two edges of G if both the endpoints of one precede both the endpoints of the other in the order. We call two edges {a, b} and {c, d} of G strongly independent if the set of endpoints {a, b, c, d} induces a 2K2 in G. The induced separation dimension of a graph G is the smallest cardinality of a family L of linear orders of V (G) such that every pair of strongly independent edges in G are separated in at least one of the linear orders in L. For each k ∈ ℕ, the family of graphs with induced separation dimension at most k is denoted by ISD(k). In this article, we initiate a study of this new dimensional parameter. The class ISD(1) or, equivalently, the family of graphs which can be embedded on a line so that every pair of strongly independent edges are disjoint line segments, is already an interesting case. On the positive side, we give characterizations for chordal graphs in ISD(1) which immediately lead to a polynomial time algorithm which determines the induced separation dimension of chordal graphs. On the negative side, we show that the recognition problem for ISD(1) is NP-complete for general graphs. We then briefly study ISD(2) and show that it contains many important graph classes like outerplanar graphs, chordal graphs, circular arc graphs and polygon-circle graphs. Finally, we describe two techniques to construct graphs with large induced separation dimension. The first one is used to show that the maximum induced separation dimension of a graph on n vertices is Θ(lg n) and the second one is used to construct AT-free graphs with arbitrarily large induced separation dimension.

Original languageEnglish
Title of host publicationGraph-Theoretic Concepts in Computer Science - 42nd International Workshop, WG 2016, Revised Selected Papers
EditorsPinar Heggernes
PublisherSpringer Verlag
Number of pages12
ISBN (Print)9783662535356
StatePublished - 2016
Event42nd International Workshop on Graph-Theoretic Concepts in Computer Science, WG 2016 - Istanbul, Turkey
Duration: 22 Jun 201624 Jun 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9941 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference42nd International Workshop on Graph-Theoretic Concepts in Computer Science, WG 2016

Bibliographical note

Publisher Copyright:
© Springer-Verlag GmbH Germany 2016.

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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