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45th Annual IEEE Symposium on Foundations of Computer Science (FOCS'04)
Randomly Coloring Constant Degree Graphs
Rome, Italy
October 17-October 19
ISBN: 0-7695-2228-9
Martin Dyer, University of Leeds
Alan Frieze, Carnegi Mellon University
Thomas P. Hayes, Toyota Technological Institute at Chicago and University of Chicago
Eric Vigoda, Toyota Technological Institute at Chicago and University of Chicago
We study a simple Markov chain, known as the Glauber dynamics, for generating a random k-coloring of a n-vertex graph with maximum degree Δ. We prove that the dynamics converges to a random coloring after 0(n log n) steps assuming k ≥ k_0 for some absolute constnat k_0, and either: (i) {k \mathord{\left/ {\vphantom {k \Delta }} \right. \kern-\nulldelimiterspace} \Delta } > α* ≈ 1.763 and the girth g ≥ 5, or (ii) {k \mathord{\left/ {\vphantom {k \Delta }} \right. \kern-\nulldelimiterspace} \Delta } > β* ≈ 1.489 and the girth g ≥ 6. Previous results on this problem applied when k = Ω(log n), or when k > 11Δ/6 for general graphs.
Citation:
Martin Dyer, Alan Frieze, Thomas P. Hayes, Eric Vigoda, "Randomly Coloring Constant Degree Graphs," focs, pp.582-589, 45th Annual IEEE Symposium on Foundations of Computer Science (FOCS'04), 2004
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