Hostname: page-component-cd9895bd7-gbm5v Total loading time: 0 Render date: 2024-12-23T05:11:08.130Z Has data issue: false hasContentIssue false

An example of phase transition in countable one-dimensional Markov random fields

Published online by Cambridge University Press:  14 July 2016

Ted Cox*
Affiliation:
Cornell University
*
* Now at Georgia Institute of Technology.

Abstract

Let S be a countable set, Q a strictly positive matrix on S × S. The set 𝒢(Q) of one-dimensional Markov random fields taking values in S with conditional probabilities determined by Q has been investigated by Spitzer [4], Föllmer [1] and Kesten [3]. In this paper a new result of Spitzer's is stated and proved, and used to present a specific example (the only one known) of a matrix Q which exhibits phase transition and admits a complete description of 𝒢 (Q).

Type
Short Communications
Copyright
Copyright © Applied Probability Trust 1977 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

[1] Föllmer, H. (1975) On the potential theory of stochastic fields. Lecture at ISI Meeting, Warsaw, 1975.Google Scholar
[2] Kemeny, J. G., Snell, J. L. and Knapp, A. W. (1976) Denumerable Markov Chains. Springer-Verlag, New York.Google Scholar
[3] Kesten, H. (1976) Existence and uniqueness of countable one-dimensional Markov random fields. Ann. Prob. To appear.CrossRefGoogle Scholar
[4] Spitzer, F. (1975) Phase transition in one-dimensional nearest-neighbor systems. J. Funct. Anal. 20, 240255.Google Scholar