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Fractional DP‐colorings of sparse graphs

Fractional DP-colorings of sparse graphs
Authors: Anton Bernshteyn; Alexandr V. Kostochka; Xuding Zhu;

Fractional DP‐colorings of sparse graphs

Abstract

AbstractDP‐coloring (also known as correspondence coloring) is a generalization of list coloring developed recently by Dvořák and Postle [J. Combin. Theory Ser. B 129 (2018), pp. 38–54]. In this paper we introduce and study the fractional DP‐chromatic number . We characterize all connected graphs such that : they are precisely the graphs with no odd cycles and at most one even cycle. By a theorem of Alon, Tuza, and Voigt [Discrete Math. 165–166 (1997), pp. 31–38], the fractional list‐chromatic number of any graph equals its fractional chromatic number . This equality does not extend to fractional DP‐colorings. Moreover, we show that the difference can be arbitrarily large, and, furthermore, for every graph of maximum average degree . On the other hand, we show that this asymptotic lower bound is tight for a large class of graphs that includes all bipartite graphs as well as many graphs of high girth and high chromatic number.

Keywords

Coloring of graphs and hypergraphs, DP-coloring, fractional coloring, FOS: Mathematics, Mathematics - Combinatorics, Density (toughness, etc.), \(d\)-degenerate graph, Combinatorics (math.CO)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Top 10%
Top 10%
Average
Green
hybrid