On the convergence of the power series algorithm

In this paper we study the convergence properties of the power series algorithm, which gives a general method to determine (functions of) stationary distributions of Markov chains. We show that normalization plays a crucial role and that the convergence can be improved by introducing some minor changes in the algorithm. We illustrate this with several numerical examples.