Iterative aggregation/disaggregation methods for computing stationary probability vectors of stochastic matrices can be finitely terminating

Abstract

Some classes of stochastic matrices are descibed for which general iterative aggregation/disaggregation (IAD) methods for computing stationary probability vectors are terminating after a finite number of IAD sweaps.