Improved Distributed Fractional Coloring Algorithms

We prove new bounds on the distributed fractional coloring problem in the LOCAL model. Fractional -colorings can be understood as multicolorings as follows. For some natural numbers and such that , each node is assigned a set of at least colors from such that adjacent nodes are assigned disjoint sets of colors. The minimum for which a fractional -coloring of a graph exists is called the fractional chromatic number of . Recently, [Bousquet, Esperet, and Pirot; SIROCCO '21] showed that for any constant , a fractional -coloring can be computed in rounds. We show that such a coloring can be computed in only rounds, without any dependency on . We further show that in rounds, it is possible to compute a fractional -coloring, even if the fractional chromatic number is not known. That is, this problem can be approximated arbitrarily well by an efficient algorithm in the LOCAL model. For the standard coloring problem, it is only known that an -approximation can be computed in polylogarithmic time in the LOCAL model. We also show that our distributed fractional coloring approximation algorithm is best possible. We show that in trees, which have fractional chromatic number , computing a fractional -coloring requires at least rounds. We finally study fractional colorings of regular grids. In [Bousquet, Esperet, and Pirot; SIROCCO '21], it is shown that in regular grids of bounded dimension, a fractional -coloring can be computed in time . We show that such a coloring can even be computed in rounds in the LOCAL model.
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