paper

A Ruelle Operator for continuous time Markov Chains

arXiv:0803.2501

Abstract

We consider a generalization of the Ruelle theorem for the case of continuous time problems. We present a result which we believe is important for future use in problems in Mathematical Physics related to -Algebras We consider a finite state set and a stationary continuous time Markov Chain , , taking values on S. We denote by the set of paths taking values on S (the elements are locally constant with left and right limits and are also right continuous on ). We consider an infinitesimal generator and a stationary vector . We denote by the associated probability on (). This is the a priori probability. All functions we consider bellow are in the set . From the probability we define a Ruelle operator , acting on functions of . Given , such that is constant in sets of the form , we define a modified Ruelle operator . We are able to show the existence of an eigenfunction and an eigen-probability on associated to . We also show the following property for the probability : for any integrable and any real and positive This equation generalize, for the continuous time Markov Chain, a similar one for discrete time systems (and which is quite important for understanding the KMS states of certain -algebras).