Journal article
Markov chains and unambiguous automata
- 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.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
-
-
(Preview, Version of record, pdf, 610.5KB, Terms of use)
-
- Publisher copy:
- 10.1016/j.jcss.2023.03.005
Authors
- Publisher:
- Elsevier
- Journal:
- Journal of Computer and System Sciences More from this journal
- Volume:
- 136
- Pages:
- 113-134
- Publication date:
- 2023-04-13
- Acceptance date:
- 2023-03-23
- DOI:
- EISSN:
-
1090-2724
- ISSN:
-
0022-0000
- Language:
-
English
- Keywords:
- Pubs id:
-
1336272
- Local pid:
-
pubs:1336272
- Deposit date:
-
2023-04-07
- ARK identifier:
Terms of use
- Copyright holder:
- Baier et al.
- Copyright date:
- 2023
- Rights statement:
- © 2023 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license (http:// creativecommons .org /licenses /by /4 .0/).
- Licence:
- CC Attribution (CC BY)
If you are the owner of this record, you can report an update to it here: Report update to this record