On the weak convergence of sequences of circuit processes: A probabilistic approach

The asymptotic behaviour of sequences of Markov processes whose finite distributions depend upon the sample paths of a positive recurrent Markov chain is studied. The existence of such sequences depends upon the existence of a unique class of directed weighted circuits having a probabilistic interpretation in terms of the directed circuits occurring along the sample paths of . An application to multiple Markov chains is given.