Randomly coloring regular bipartite graphs and graphs with bounded common neighbors

0Citations
Citations of this article
4Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Let G be an n-node graph with maximum degree Δ. The Glauber dynamics for G, defined by Jerrum, is a Markov chain over the k-colorings of G. Many classes of G on which the Glauber dynamics mixes rapidly have been identified. Recent research efforts focus on the important case that Δ ≥ d log 2 n holds for some sufficiently large constant d. We add the following new results along this direction, where ε can be any constant with 0 < ε < 1. - Let α ≈ 1.645 be the root of (1 - e -1/x)2 + 2xe-1/x = 2. If G is regular and bipartite and k ≥ (α+ε)Δ, then the mixing time of the Glauber dynamics for G is O(n log n). - Let β ≈ 1.763 be the root of x = e1/x. If the number of common neighbors for any two adjacent nodes of G is at most ε1.5Δ/360e and k ≥ (1 + ε)βΔ, then the mixing time of the Glauber dynamics is O(n log n). © Springer-Verlag Berlin Heidelberg 2012.

Cite

CITATION STYLE

APA

Kuo, C. C., & Lu, H. I. (2012). Randomly coloring regular bipartite graphs and graphs with bounded common neighbors. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7676 LNCS, pp. 24–33). Springer Verlag. https://doi.org/10.1007/978-3-642-35261-4_6

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free