Title
Randomly coloring constant degree graphs
Abstract
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 驴. We prove that the dynamics converges to a random coloring after 0(n log n) steps assuming k 驴 k_0 for some absolute constnat k_0, and either: (i) {k \mathord{\left/ {\vphantom {k \Delta }} \right. \kern-\nulldelimiterspace} \Delta } 驴* 驴 1.763 and the girth g 驴 5, or (ii) {k \mathord{\left/ {\vphantom {k \Delta }} \right. \kern-\nulldelimiterspace} \Delta } β* 驴 1.489 and the girth g 驴 6. Previous results on this problem applied when k = 驴(log n), or when k 11驴/6 for general graphs.
Year
DOI
Venue
2004
10.1109/FOCS.2004.57
Random Structures and Algorithms
Keywords
Field
DocType
markov processes,computational complexity,graph colouring,glauber dynamics,markov chain,constant degree graphs,random coloring
Discrete mathematics,Glauber,Graph,Binary logarithm,Combinatorics,Vertex (graph theory),struct,Markov chain,Degree (graph theory),Mathematics
Conference
Volume
Issue
ISSN
43
2
0272-5428
ISBN
Citations 
PageRank 
0-7695-2228-9
21
1.66
References 
Authors
14
4
Name
Order
Citations
PageRank
Martin Dyer1102997.62
Alan M. Frieze24837787.00
Thomas P. Hayes365954.21
Eric Vigoda474776.55