Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 139-180 |
| Number of pages | 42 |
| Journal | Random Structures and Algorithms |
| Volume | 43 |
| Issue number | 2 |
| DOIs | |
| State | Published - Sep 2013 |
Keywords
- Graph coloring
- Markov chains
- Mixing times
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