Characterization of stationary measures for one-dimensional exclusion processes
成果类型：
Article
署名作者：
Bramson, M; Liggett, TM; Mountford, T
署名单位：
University of Minnesota System; University of Minnesota Twin Cities; University of California System; University of California Los Angeles
刊物名称：
ANNALS OF PROBABILITY
ISSN/ISSBN：
0091-1798
发表日期：
2002
页码：
1539-1575
关键词：
摘要：
The product Bernoulli measures upsilon(alpha) with densities alpha, alpha is an element of [0, 1], are the extremal translation invariant stationary measures for an exclusion process on Z with irreducible random walk kernel p(.). Stationary measures that are not translation invariant are known to exist for finite range p(.) with positive mean. These measures have particle densities that tend to 1 as x --> infinity and tend to 0 as x --> infinity; the corresponding extremal measures form a oneparameter family and are translates of one another. Here, we show that for an exclusion process where p(.) is irreducible and has positive mean, there are no other extremal stationary measures. When Sigma(x<0)x(2)p(x) = infinity, we show that any nontranslation invariant stationary measure is not a blocking measure; that is, there are always either an infinite number of particles to the left of any site or an infinite number of empty sites to the right of the site. This contrasts with the case where p(.) has finite range and the above stationary measures are all blocking measures. We also present two results on the existence of blocking measures when p(.) has positive mean, and p(y) less than or equal to p(x) and p(-y) less than or equal to p(-x) for 1 less than or equal to x less than or equal to y. When the left tail of p(.) has slightly more than a third moment, stationary blocking measures exist. When p(-x) less than or equal to p(x) for x > 0 and Sigma(x<0)x(2)p(x) < infinity, stationary blocking measures also exist.