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Model Checking of Infinite State Space Markov Chains by Stochastic Bounds

  • Conference paper
Analytical and Stochastic Modeling Techniques and Applications (ASMTA 2008)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 5055))

Abstract

In this paper, we discuss how to check Probablistic Computation Tree Logic (PCTL) logic operators over infinite state Discrete Time Markov Chains (DTMC). Probabilistic model checking has been largely applied over finite state space Markov models. Recently infinite state models have been considered when underlying infinite Markov models have special structures. We propose to consider finite state models providing bounds on transient and the stationary distributions in the sense of the \(\preceq_{st}\) stochastic order to check infinite state models. The operators of the PCTL logic are then checked by considering these finite bounding models.

This work is supported by French research project CheckBound, ANR06-SETIN-002.

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Khalid Al-Begain Armin Heindl Miklós Telek

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Ben Mamoun, M., Pekergin, N. (2008). Model Checking of Infinite State Space Markov Chains by Stochastic Bounds. In: Al-Begain, K., Heindl, A., Telek, M. (eds) Analytical and Stochastic Modeling Techniques and Applications. ASMTA 2008. Lecture Notes in Computer Science, vol 5055. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68982-9_19

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  • DOI: https://doi.org/10.1007/978-3-540-68982-9_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-68980-5

  • Online ISBN: 978-3-540-68982-9

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