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
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