@inproceedings{58af41f034de4efc8547a16b1e808681,
title = "Complete axiomatization for the bisimilarity distance on Markov chains",
abstract = "In this paper we propose a complete axiomatization of the bisimilarity distance of Desharnais et al. for the class of finite labelled Markov chains. Our axiomatization is given in the style of a quantitative extension of equational logic recently proposed by Mardare, Panangaden, and Plotkin (LICS'16) that uses equality relations t ϵ s indexed by rationals, expressing that {"}t is approximately equal to s up to an error ϵ. Notably, our quantitative deductive system extends in a natural way the equational system for probabilistic bisimilarity given by Stark and Smolka by introducing an axiom for dealing with the Kantorovich distance between probability distributions.",
keywords = "axiomatization, behavioral distances, Markov chains, Markov processes, probability distributions, probabilistic bisimilarity",
author = "Giorgio Bacci and Giovanni Bacci and Larsen, \{Kim G.\} and Radu Mardare",
year = "2016",
month = aug,
day = "24",
doi = "10.4230/LIPIcs.CONCUR.2016.21",
language = "English",
volume = "59",
series = "Leibniz International Proceedings in Informatics",
editor = "Desharnais, \{Josee \} and Radha Jagadeesan",
booktitle = "27th International Conference on Concurrency Theory, CONCUR 2016",
}