Local Uniformity Properties for Glauber Dynamics on Graph Colorings

被引:6
|
作者
Hayes, Thomas P. [1 ]
机构
[1] Univ New Mexico, Dept Comp Sci, Albuquerque, NM 87131 USA
基金
美国国家科学基金会;
关键词
Markov chains; mixing times; graph coloring; MAXIMUM DEGREE; SAMPLING COLORINGS; UNIQUENESS; BOUNDS; GIRTH;
D O I
10.1002/rsa.20502
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
We investigate some local properties which hold with high probability for randomly selected colorings of a fixed graph with no short cycles. In a number of related works, establishing these particular properties has been a crucial step towards proving rapid convergence for the single-site Glauber dynamics, a Markov chain for sampling colorings uniformly at random. For a large class of graphs, this approach yields the most efficient known algorithms for sampling random colorings. (c) 2013 Wiley Periodicals, Inc.
引用
收藏
页码:139 / 180
页数:42
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