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We analyze Markov chains for generating a randomk‐coloring of a random graphGn,d/n. When the average degreedis constant, a random graph has maximum degreeΘ(logn/log logn), with high probability. We show that, with high probability, an efficient procedure can generate an almost uniformly randomk‐coloring whenk=Θ(log logn/log log logn), i.e., with many fewer colors than the maximum degree. Previous results hold for a more general class of graphs, but always require more colors than the maximum degree.
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Dyer et al. (2006) studied this question.
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