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 cas
A semidefinite bound for mixing rates of Markov chains
β Scribed by Nabil Kahale
- Publisher
- John Wiley and Sons
- Year
- 1997
- Tongue
- English
- Weight
- 214 KB
- Volume
- 11
- Category
- Article
- ISSN
- 1042-9832
No coin nor oath required. For personal study only.
β¦ Synopsis
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 states.
π SIMILAR VOLUMES
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
The behaviour of many biological systems can be attributed to that of a large number of units, with each unit swinging between two competing states. During the past few years efforts have been made (e.g., Chung and Kennedy, 1996) to describe such discrete systems using a multiple binary Markov chain