Acyclic Edge Coloring through the Lov\'asz Local Lemma
Abstract
We give a probabilistic analysis of a Moser-type algorithm for the Lov\'asz 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 has an acyclic proper edge coloring with at most 3.74(-1)+1 colors, whereas, previously, the best bound was 4(-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.
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