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Acyclic, Star and Injective Colouring: A Complexity Picture for H-Free Graphs

Authors Jan Bok , Nikola Jedlic̆ková , Barnaby Martin, Daniël Paulusma , Siani Smith

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Author Details

Jan Bok
  • Computer Science Institute, Charles University, Prague, Czech Republic
Nikola Jedlic̆ková
  • Department of Applied Mathematics, Charles University, Prague, Czech Republic
Barnaby Martin
  • Department of Computer Science, Durham University, UK
Daniël Paulusma
  • Department of Computer Science, Durham University, UK
Siani Smith
  • Department of Computer Science, Durham University, UK

Funding

  • Bok, Jan: Supported by GAUK 1580119 and SVV - 2020 - 260578.
  • Jedlic̆ková, Nikola: Supported by GAUK 1198419 and SVV - 2020 - 260578.
  • Paulusma, Daniël: Supported by the Leverhulme Trust (RPG-2016-258).

Cite AsGet BibTex

Jan Bok, Nikola Jedlic̆ková, Barnaby Martin, Daniël Paulusma, and Siani Smith. Acyclic, Star and Injective Colouring: A Complexity Picture for H-Free Graphs. In 28th Annual European Symposium on Algorithms (ESA 2020). Leibniz International Proceedings in Informatics (LIPIcs), Volume 173, pp. 22:1-22:22, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2020)
https://doi.org/10.4230/LIPIcs.ESA.2020.22

Abstract

A k-colouring c of a graph G is a mapping V(G) → {1,2,… k} such that c(u) ≠ c(v) whenever u and v are adjacent. The corresponding decision problem is Colouring. A colouring is acyclic, star, or injective if any two colour classes induce a forest, star forest or disjoint union of vertices and edges, respectively. Hence, every injective colouring is a star colouring and every star colouring is an acyclic colouring. The corresponding decision problems are Acyclic Colouring, Star Colouring and Injective Colouring (the last problem is also known as L(1,1)-Labelling). A classical complexity result on Colouring is a well-known dichotomy for H-free graphs, which was established twenty years ago (in this context, a graph is H-free if and only if it does not contain H as an induced subgraph). Moreover, this result has led to a large collection of results, which helped us to better understand the complexity of Colouring. In contrast, there is no systematic study into the computational complexity of Acyclic Colouring, Star Colouring and Injective Colouring despite numerous algorithmic and structural results that have appeared over the years. We initiate such a systematic complexity study, and similar to the study of Colouring we use the class of H-free graphs as a testbed. We prove the following results: 1) We give almost complete classifications for the computational complexity of Acyclic Colouring, Star Colouring and Injective Colouring for H-free graphs. 2) If the number of colours k is fixed, that is, not part of the input, we give full complexity classifications for each of the three problems for H-free graphs. From our study we conclude that for fixed k the three problems behave in the same way, but this is no longer true if k is part of the input. To obtain several of our results we prove stronger complexity results that in particular involve the girth of a graph and the class of line graphs.

Subject Classification

ACM Subject Classification
  • Mathematics of computing → Graph theory
Keywords
  • acyclic colouring
  • star colouring
  • injective colouring
  • H-free
  • dichotomy

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