Acyclic edge coloring through the Lovász Local Lemma

Ioannis Giotis, Lefteris Kirousis, Kostas I. Psaromiligkos, Dimitrios M. Thilikos

Research output: Contribution to journalArticlepeer-review

Abstract

We give a probabilistic analysis of a Moser-type algorithm for the Lovász Local Lemma (LLL), adjusted to search for acyclic edge colorings of a graph. We thus improve the best known upper bound to acyclic chromatic index, also obtained by analyzing a similar algorithm, but through the entropic method (basically counting argument). Specifically we show that a graph with maximum degree Δ has an acyclic proper edge coloring with at most ⌈3.74(Δ−1)⌉+1 colors, whereas, previously, the best bound was 4(Δ−1). The main contribution of this work is that it comprises a probabilistic analysis of a Moser-type algorithm applied to events pertaining to dependent variables.

Original languageEnglish (US)
Pages (from-to)40-50
Number of pages11
JournalTheoretical Computer Science
Volume665
DOIs
StatePublished - Feb 22 2017

Keywords

  • Acyclic edge coloring
  • Algorithmic proof of the Lovász Local Lemma

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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