Mixing of random walks and other diffusions on a graph
Surveys in combinatorics, 1995
Path coupling: A technique for proving rapid mixing in Markov chains
FOCS '97 Proceedings of the 38th Annual Symposium on Foundations of Computer Science
Sampling adsorbing staircase walks using a new Markov chain decomposition method
FOCS '00 Proceedings of the 41st Annual Symposium on Foundations of Computer Science
Combinatorial criteria for uniqueness of Gibbs measures
Random Structures & Algorithms
Sampling colourings of the triangular lattice
Random Structures & Algorithms
Dobrushin conditions for systematic scan with block dynamics
MFCS'07 Proceedings of the 32nd international conference on Mathematical Foundations of Computer Science
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We consider Glauber dynamics on finite spin systems. The mixing time of Glauber dynamics can be bounded in terms of the influences of sites on each other. We consider three parameters bounding these influences — α, the total influence on a site, as studied by Dobrushin; α′, the total influence of a site, as studied by Dobrushin and Shlosman; and α′′, the total influence of a site in any given context, which is related to the path-coupling method of Bubley and Dyer. It is known that if any of these parameters is less than 1 then random-update Glauber dynamics (in which a randomly-chosen site is updated at each step) is rapidly mixing. It is also known that the Dobrushin condition αα, α′ and α′′, and (2) the relationship between proofs of rapid mixing using Dobrushin uniqueness (which typically use analysis techniques) and proofs of rapid mixing using path coupling. We use matrix-balancing to show that the Dobrushin-Shlosman condition α′ α= 1 or α′ = 1 case. We give positive results for the rapid mixing of systematic scan for certain α= 1 cases. As an application, we show rapid mixing of systematic scan (for any scan order) for heat-bath Glauber dynamics for proper q-colourings of a degree-Δ graph G when q ≥2Δ.