Massimo Bartoletti ; Maurizio Murgia ; Roberto Zunino - Sound approximate and asymptotic probabilistic bisimulations for PCTL

lmcs:10158 - Logical Methods in Computer Science, March 31, 2023, Volume 19, Issue 1 - https://doi.org/10.46298/lmcs-19(1:22)2023
Sound approximate and asymptotic probabilistic bisimulations for PCTLArticle

Authors: Massimo Bartoletti ; Maurizio Murgia ORCID; Roberto Zunino ORCID

    We tackle the problem of establishing the soundness of approximate bisimilarity with respect to PCTL and its relaxed semantics. To this purpose, we consider a notion of bisimilarity inspired by the one introduced by Desharnais, Laviolette, and Tracol, and parametric with respect to an approximation error $\delta$, and to the depth $n$ of the observation along traces. Essentially, our soundness theorem establishes that, when a state $q$ satisfies a given formula up-to error $\delta$ and steps $n$, and $q$ is bisimilar to $q'$ up-to error $\delta'$ and enough steps, we prove that $q'$ also satisfies the formula up-to a suitable error $\delta"$ and steps $n$. The new error $\delta"$ is computed from $\delta$, $\delta'$ and the formula, and only depends linearly on $n$. We provide a detailed overview of our soundness proof. We extend our bisimilarity notion to families of states, thus obtaining an asymptotic equivalence on such families. We then consider an asymptotic satisfaction relation for PCTL formulae, and prove that asymptotically equivalent families of states asymptotically satisfy the same formulae.


    Volume: Volume 19, Issue 1
    Published on: March 31, 2023
    Accepted on: February 12, 2023
    Submitted on: October 17, 2022
    Keywords: Computer Science - Logic in Computer Science

    Classifications

    Mathematics Subject Classification 20201

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