The complexity of bisimilarity on pointmass processes
This work addresses foundational complexity questions in theoretical computer science for researchers in process theory and modal logic, offering incremental insights into classification and definability.
The paper tackles the descriptive complexity of bisimilarity on nondeterministic labelled Markov processes over uncountable spaces, showing it is analytic for processes with finitely-supported measures and Borel for well-founded processes, while providing a lower bound via reduction to the E0 relation.
We assess the descriptive complexity of *bisimilarity* or "equality of behavior" on a family of Markov decision processes over uncountable standard Borel spaces, namely *nondeterministic labelled Markov processes* (NLMP). We show that bisimilarity is analytic for processes with a uniform assignment of finitely-supported measures to each state and label. More finely, we obtain that bisimilarity on the space of countable Kripke frames (or labelled transition systems) is classifiable by countable structures. We show that bisimilarity of well-founded ("terminating") processes is Borel. We also provide a lower complexity bound by reducing the relation of eventual equality of binary sequences $E_0$ to the former. As a consequence, there is no countable fragment of basic modal logic with denumerable conjunctions that characterizes bisimilarity for processes of small rank. We finally apply the previous Borel definability to study the well-founded part of discrete uniform processes over uncountable spaces.