We introduce a new technique for analyzing the mixing rate of Markov chains. We use it to prove that the Glauber dynamics on 2 -colorings of a graph with maximum degree mixes in O n log n time. We prove the same mixing rate for the Insert/Delete/Drag chain of Dyer and Greenhill (Random Structures A
A more rapidly mixing Markov chain for graph colorings
β Scribed by Martin Dyer; Catherine Greenhill
- Publisher
- John Wiley and Sons
- Year
- 1998
- Tongue
- English
- Weight
- 351 KB
- Volume
- 13
- Category
- Article
- ISSN
- 1042-9832
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β¦ Synopsis
We define a new Markov chain on proper k-colorings of graphs, and relate its convergence properties to the maximum degree β¬ of the graph. The chain is shown to have bounds on convergence time appreciably better than those for the well-known JerrumrSalasαSokal chain in most circumstances. For the case k s 2β¬, we provide a dramatic decrease in running time. We also show improvements whenever the graph is regular, or fewer than 3β¬ colors are used. The results are established using the method of path coupling. We indicate that our analysis is tight by showing that the couplings used are optimal in a sense which we define.
π SIMILAR VOLUMES
We study general geometric techniques for bounding the spectral gap of a reversible Markov chain. We show that the best bound obtainable using these techniques can be computed in polynomial time via semidefinite programming, and is off by at most a factor of order log 2 n, where n is the number of s