Necessary and sufficient conditions for strong comparability of multicomponent systems

In this article we analyze the stochastic comparison of continuous time Markov chains with state space E = {0, 1, 2, . . .} used as models for N−component systems. Although the conditions for comparability of such processes are known in the theory, they involve a huge family of sets which makes their checking a difficult task. We show how, under some assumptions on the transitions allowed in the chains, the conditions can be greatly simplified, writing them in terms of conditions for each component. As an application we give the necessary and sufficient conditions for the stochastic comparability of two batch-arrival assemble-transfer queueing networks in terms of conditions for their single stations, improving previous results on the subject [5]. We also analyze a finite site version of interacting particle systems studied in [1].