Complete axiomatization for the bisimilarity distance on Markov chains

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.
Original languageEnglish
Title of host publication27th International Conference on Concurrency Theory, CONCUR 2016
EditorsJosee Desharnais, Radha Jagadeesan
Number of pages14
Volume59
DOIs
Publication statusPublished - 24 Aug 2016

Publication series

NameLeibniz International Proceedings in Informatics
Volume59

Keywords

  • axiomatization
  • behavioral distances
  • Markov chains
  • Markov processes
  • probability distributions
  • probabilistic bisimilarity

Fingerprint

Dive into the research topics of 'Complete axiomatization for the bisimilarity distance on Markov chains'. Together they form a unique fingerprint.

Cite this