Markov chains and unambiguous automata
Research output: Contribution to journal › Research article › Contributed › peer-review
Contributors
Abstract
Unambiguous automata are nondeterministic automata in which every word has at most one accepting run. In this paper we give a polynomial-time algorithm for model checking discrete-time Markov chains against ω-regular specifications represented as unambiguous automata. We furthermore show that the complexity of this model checking problem lies in NC: the subclass of P comprising those problems solvable in poly-logarithmic parallel time. These complexity bounds match the known bounds for model checking Markov chains against specifications given as deterministic automata, notwithstanding the fact that unambiguous automata can be exponentially more succinct than deterministic automata. We report on an implementation of our procedure, including an experiment in which the implementation is used to model check LTL formulas on Markov chains.
Details
Original language | English |
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Pages (from-to) | 113-134 |
Number of pages | 22 |
Journal | Journal of computer and system sciences |
Volume | 136 |
Publication status | Published - Sept 2023 |
Peer-reviewed | Yes |
External IDs
ORCID | /0000-0002-5321-9343/work/160951230 |
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Keywords
ASJC Scopus subject areas
Keywords
- Markov chains, Model checking, Probabilistic verification, Unambiguous automata