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Weighted Probabilistic Equivalence Preserves ω-Regular Properties

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Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 7201))

Abstract

Equivalence relations can be used to reduce the state space of a system model, thereby permitting more efficient analysis. This paper extends the notion of weighted lumpability (WL) defined on continuous-time Markov chains (CTMCs) to the discrete-time setting, i.e., discrete-time Markov chains (DTMCs). We provide a structural definition of weighted probabilistic equivalence (WPE), define the quotient under WPE and prove some elementary properties. We show that ω-regular properties are preserved when reducing the state space of a DTMC using WPE. Finally, we show that WPE is compositional w.r.t. synchronous parallel composition.

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References

  1. Ash, R.B., Doleans-Dade, C.A.: Probability and Measure Theory. Academic Press (2000)

    Google Scholar 

  2. Aziz, A., Singhal, V., Balarin, F.: It Usually Works: The Temporal Logic of Stochastic Systems. In: Wolper, P. (ed.) CAV 1995. LNCS, vol. 939, pp. 155–165. Springer, Heidelberg (1995)

    Chapter  Google Scholar 

  3. Baier, C., Katoen, J.-P.: Principles of Model Checking. MIT Press (2008)

    Google Scholar 

  4. Baier, C., Katoen, J.-P., Hermanns, H., Wolf, V.: Comparative branching-time semantics for Markov chains. Inf. Comput. 200(2), 149–214 (2005)

    Article  MathSciNet  MATH  Google Scholar 

  5. Bernardo, M.: Non-bisimulation-based Markovian behavioral equivalences. J. Log. Algebr. Program. 72(1), 3–49 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  6. Buchholz, P.: Exact and ordinary lumpability in finite Markov chains. J. of Appl. Prob., 59–75 (1994)

    Google Scholar 

  7. Desharnais, J., Edalat, A., Panangaden, P.: A logical characterization of bisimulation for labeled Markov processes. In: LICS, pp. 478–487 (1998)

    Google Scholar 

  8. Feller, W.: An Introduction to Probability Theory and Its Applications, vol. 1. John Wiley and Sons (1968)

    Google Scholar 

  9. Glabbeek, R.J.V., Smolka, S.A., Steffen, B.: Reactive, generative and stratified models of probabilistic processes. Information and Computation 121, 130–141 (1990)

    MathSciNet  MATH  Google Scholar 

  10. Han, T., Katoen, J.-P., Mereacre, A.: Compositional Modeling and Minimization of Time-Inhomogeneous Markov Chains. In: Egerstedt, M., Mishra, B. (eds.) HSCC 2008. LNCS, vol. 4981, pp. 244–258. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  11. Hansson, H., Jonsson, B.: A logic for reasoning about time and reliability. Formal Asp. Comput. 66(5), 512–535 (1994)

    Article  MATH  Google Scholar 

  12. Huynh, D.T., Tian, L.: On some equivalence relations for probabilistic processes. Fundam. Inform. 17(3), 211–234 (1992)

    MathSciNet  MATH  Google Scholar 

  13. Jones, C., Plotkin, G.: A probabilistic powerdomain of evaluations. In: LICS, pp. 186–195. IEEE Press, Piscataway (1989)

    Google Scholar 

  14. Jonsson, B., Larsen, K.G.: Specification and refinement of probabilistic processes. In: LICS, pp. 266–277 (1991)

    Google Scholar 

  15. Jou, C.-C., Smolka, S.A.: Equivalences, Congruences, and Complete Axiomatizations for Probabilistic Processes. In: Baeten, J.C.M., Klop, J.W. (eds.) CONCUR 1990. LNCS, vol. 458, pp. 367–383. Springer, Heidelberg (1990)

    Google Scholar 

  16. Katoen, J.-P., Khattri, M., Zapreev, I.S.: A Markov reward model checker. In: QEST, pp. 243–244. IEEE CS Press (2005)

    Google Scholar 

  17. Katoen, J.-P., Mereacre, A.: Model Checking HML on Piecewise-Constant Inhomogeneous Markov Chains. In: Cassez, F., Jard, C. (eds.) FORMATS 2008. LNCS, vol. 5215, pp. 203–217. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  18. Kemeny, J., Snell, J.: Finite Markov chains. VanNostrand (1969)

    Google Scholar 

  19. Kwiatkowska, M., Norman, G., Parker, D.: Prism 2.0: A tool for probabilistic model checking. In: QEST, pp. 322–323. IEEE Computer Society Press (2004)

    Google Scholar 

  20. Larsen, K.G., Skou, A.: Bisimulation through probabilistic testing. In: POPL, pp. 344–352 (1989)

    Google Scholar 

  21. Norman, G., Parker, D., Kwiatkowska, M., Shukla, S.: Evaluating the reliability of NAND multiplexing with PRISM. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 24(10), 1629–1637 (2005)

    Article  Google Scholar 

  22. Segala, R.: Modelling and Verification of Randomized Distributed Real Time Systems. PhD thesis, MIT (1995)

    Google Scholar 

  23. Sharma, A., Katoen, J.-P.: Weighted Lumpability on Markov Chains. In: Voronkov, A. (ed.) PSI 2011. LNCS, vol. 7162, pp. 322–339. Springer, Heidelberg (2012)

    Google Scholar 

  24. Thomas, W., Wilke, T.: Automata Logics, and Infinite Games: A Guide to Current Research. Springer, Heidelberg (2002)

    MATH  Google Scholar 

  25. Tofts, C.M.N.: Processes with probablities, priority and time. Formal Asp. Comput. 6(5), 536–564 (1994)

    Article  MATH  Google Scholar 

  26. Tofts, C.M.N.: Compositional Performance Analysis. In: Brinksma, E. (ed.) TACAS 1997. LNCS, vol. 1217, pp. 290–305. Springer, Heidelberg (1997)

    Chapter  Google Scholar 

  27. Wolf, V., Baier, C., Majster-Cederbaum, M.E.: Trace machines for observing continuous-time Markov chains. ENTCS 153(2), 259–277 (2006)

    Google Scholar 

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Sharma, A. (2012). Weighted Probabilistic Equivalence Preserves ω-Regular Properties. In: Schmitt, J.B. (eds) Measurement, Modelling, and Evaluation of Computing Systems and Dependability and Fault Tolerance. MMB&DFT 2012. Lecture Notes in Computer Science, vol 7201. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28540-0_9

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  • DOI: https://doi.org/10.1007/978-3-642-28540-0_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28539-4

  • Online ISBN: 978-3-642-28540-0

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