132 research outputs found
Fuzzy transformations and extremality of Gibbs measures for the Potts model on a Cayley tree
We continue our study of the full set of translation-invariant splitting
Gibbs measures (TISGMs, translation-invariant tree-indexed Markov chains) for
the -state Potts model on a Cayley tree. In our previous work \cite{KRK} we
gave a full description of the TISGMs, and showed in particular that at
sufficiently low temperatures their number is .
In this paper we find some regions for the temperature parameter ensuring
that a given TISGM is (non-)extreme in the set of all Gibbs measures.
In particular we show the existence of a temperature interval for which there
are at least extremal TISGMs.
For the Cayley tree of order two we give explicit formulae and some numerical
values.Comment: 44 pages. To appear in Random Structures and Algorithm
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