Algorithms for the rainbow vertex coloring problem on graph classes

Publication date

2020-08-01

Authors

Lima, Paloma T.
van Leeuwen, Erik JanISNI 0000000115525019
van der Wegen, MariekeISNI 0000000492798493

Editors

Esparza, Javier
Kral, Daniel

Advisors

Supervisors

Document Type

Part of book
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License

Abstract

Given a vertex-colored graph, we say a path is a rainbow vertex path if all its internal vertices have distinct colors. The graph is rainbow vertex-connected if there is a rainbow vertex path between every pair of its vertices. In the Rainbow Vertex Coloring (RVC) problem we want to decide whether the vertices of a given graph can be colored with at most k colors so that the graph becomes rainbow vertex-connected. This problem is known to be NP-complete even in very restricted scenarios, and very few efficient algorithms are known for it. In this work, we give polynomial-time algorithms for RVC on permutation graphs, powers of trees and split strongly chordal graphs. The algorithm for the latter class also works for the strong variant of the problem, where the rainbow vertex paths between each vertex pair must be shortest paths. We complement the polynomial-time solvability results for split strongly chordal graphs by showing that, for any fixed p ≥ 3 both variants of the problem become NP-complete when restricted to split (S3, . . ., Sp)-free graphs, where Sq denotes the q-sun graph.

Keywords

Permutation graphs, Powers of trees, Rainbow vertex coloring, Software

Citation

Lima, P T, van Leeuwen, E J & van der Wegen, M 2020, Algorithms for the rainbow vertex coloring problem on graph classes. in J Esparza & D Kral (eds), 45th International Symposium on Mathematical Foundations of Computer Science (MFCS 2020). Leibniz International Proceedings in Informatics (LIPIcs), vol. 170, Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, pp. 63:1--63:13, 45th International Symposium on Mathematical Foundations of Computer Science, MFCS 2020, Prague, Czech Republic, 25/08/20. https://doi.org/10.4230/LIPIcs.MFCS.2020.63, conference