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The random cluster model on a general graph and a phase transition characterization of nonamenability

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  • Jonasson, Johan

Abstract

The random cluster model on a general infinite graph with bounded degree wired at infinity is considered and a "ghost vertex" method is introduced in order to explicitly construct random cluster measures satisfying the Dobrushin-Lanford-Ruelle condition for q[greater-or-equal, slanted]1. It is proved that on a regular nonamenable graph there is a q0 such that for q[greater-or-equal, slanted]q0 there is a phase transition for an entire interval of values of p, whereas on a quasi-transitive amenable graph there is a phase transition for at most a countable number of values of p. In particular, a transitive graph is nonamenable if and only if there is a phase transition for an entire interval of p-values for large enough q. It is also observed that these results have a Potts model interpretation. In particular, a transitive graph is nonamenable if and only if the q-state Potts model on that graph has the property that for q large enough there is an entire interval of temperatures for which the free Gibbs state is not a convex combination of the q Gibbs states obtained from one-spin boundary conditions. It is also proved that on the regular tree, , with q[greater-or-equal, slanted]1 and p close enough to 1, there is unique random cluster measure despite the presence of more than one infinite cluster. This partly proves Conjecture 1.9 of H.

Suggested Citation

  • Jonasson, Johan, 1999. "The random cluster model on a general graph and a phase transition characterization of nonamenability," Stochastic Processes and their Applications, Elsevier, vol. 79(2), pages 335-354, February.
  • Handle: RePEc:eee:spapps:v:79:y:1999:i:2:p:335-354
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    Cited by:

    1. Shi, Xiaolin & Adamic, Lada A. & Strauss, Martin J., 2007. "Networks of strong ties," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 378(1), pages 33-47.

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