A convenient characterisation of convergent upper transition operators
Jasper De Bock, Alexander Erreygers, Floris Persiau
TL;DR
This paper advances the understanding of the limit behavior of imprecise Markov chains by studying the convergence of upper transition operators $\overline{T}$ on finite state spaces. It introduces a general, practically verifiable sufficient condition for convergence based on upper accessibility and lower reachability, and shows that this condition is necessary in the cases where maximal communication classes are absorbing or when $\overline{T}$ is finitely generated. The authors develop a graph-theoretic and restriction-based framework to decompose the state space into maximal and transient classes, derive ergodicity criteria, and provide an algorithmic procedure for the finitely generated case to certify convergence. They also present a counterexample illustrating that convergence can occur even when the restricted dynamics are not convergent, and discuss paths for extending results beyond the finitely generated setting and connections to Akian’s theorem.
Abstract
Motivated by its connection to the limit behaviour of imprecise Markov chains, we introduce and study the so-called convergence of upper transition operators: the condition that for any function, the orbit resulting from iterated application of this operator converges. In contrast, the existing notion of `ergodicity' requires convergence of the orbit to a constant. We derive a very general (and practically verifiable) sufficient condition for convergence in terms of accessibility and lower reachability, and prove that this sufficient condition is also necessary whenever (i) all transient states are absorbed or (ii) the upper transition operator is finitely generated.
