Randomly Coloring Constant Degree Graphs

Abstract We study a simple Markov chain, known as the Glauber dynamics, for generating a random k ‐coloring of an n ‐vertex graph with maximum degree Δ. We prove that, for every ε > 0, the dynamics converges to a random coloring within O ( n log n ) steps assuming k ≥ k 0 ( ε ) and either: (i) k /Δ > α* + ε where α*≈︁ 1.763 and the girth g ≥ 5, or (ii) k /Δ >β * + ε where β*≈︁ 1.489 and the girth g ≥ 7. Our work improves upon, and builds on, previous results which have similar restrictions on k /Δ and the minimum girth but also required Δ = Ω (log n ). The best known result for general graphs is O ( n log n ) mixing time when k /Δ > 2 and O ( n 2 ) mixing time when k /Δ > 11/6. Related results of Goldberg et al apply when k /Δ > α* for all Δ ≥ 3 on triangle‐free “neighborhood‐amenable” graphs.© 2012 Wiley Periodicals, Inc. Random Struct. Alg., 2013