Monotonicity Characterizations of Regular Languages

Authors Yoav Feinstein, Orna Kupferman



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Author Details

Yoav Feinstein
  • School of Engineering and Computer Science, Hebrew University, Jerusalem, Israel
Orna Kupferman
  • School of Engineering and Computer Science, Hebrew University, Jerusalem, Israel

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Yoav Feinstein and Orna Kupferman. Monotonicity Characterizations of Regular Languages. In 43rd IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2023). Leibniz International Proceedings in Informatics (LIPIcs), Volume 284, pp. 26:1-26:19, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)
https://doi.org/10.4230/LIPIcs.FSTTCS.2023.26

Abstract

Each language L ⊆ Σ^* induces an infinite sequence Pr(L,n)_{n=1}^∞, where for all n ≥ 1, the value Pr(L,n) ∈ [0,1] is the probability of a word of length n to be in L, assuming a uniform distribution on the letters in Σ. Previous studies of Pr(L,n)_{n=1}^∞ for a regular language L, concerned zero-one laws, density, and accumulation points. We study monotonicity of Pr(L,n)_{n=1}^∞, possibly in the limit. We show that monotonicity may depend on the distribution of letters, study how operations on languages affect monotonicity, and characterize classes of languages for which the sequence is monotonic. We extend the study to languages L of infinite words, where we study the probability of lasso-shaped words to be in L and consider two definitions for Pr(L,n). The first refers to the probability of prefixes of length n to be extended to words in L, and the second to the probability of word w of length n to be such that w^ω is in L. Thus, in the second definition, monotonicity depends not only on the length of w, but also on the words being periodic.

Subject Classification

ACM Subject Classification
  • Theory of computation → Formal languages and automata theory
Keywords
  • Regular Languages
  • Probability
  • Monotonicity
  • Automata

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References

  1. I. Beer, S. Ben-David, C. Eisner, and Y. Rodeh. Efficient detection of vacuity in ACTL formulas. Formal Methods in System Design, 18(2):141-162, 2001. Google Scholar
  2. J. Berstel. Sur la densité asymptotique de langages formels. In Proc. 1st Int. Colloq. on Automata, Languages, and Programming, pages 345-358, 1972. Google Scholar
  3. J. Berstel, D. Perrin, and C. Reutenauer. Codes and Automata, volume 129 of Encyclopedia of mathematics and its applications. Cambridge University Press, 2010. Google Scholar
  4. M. Bodirsky, T. Gärtner, T. von Oertzen, and J. Schwinghammer. Efficiently computing the density of regular languages. In Proc. 6th Latin American Symposium on Theoretical Informatics, volume 2976 of Lecture Notes in Computer Science, pages 262-270. Springer, 2004. Google Scholar
  5. M. Chechik, M. Gheorghiu, and A. Gurfinkel. Finding state solutions to temporal queries. In Proc. Integrated Formal Methods, 2007. To appear. Google Scholar
  6. J. Cohen, D. Perrin, and J-Eric Pin. On the expressive power of temporal logic. Journal of Computer and System Sciences, 46(3):271-294, 1993. Google Scholar
  7. S. Ben David and O. Kupferman. A framework for ranking vacuity results. In 11th Int. Symp. on Automated Technology for Verification and Analysis, volume 8172 of Lecture Notes in Computer Science, pages 148-162. Springer, 2013. Google Scholar
  8. R. Fagin. Probabilities in finite models. Journal of Symb. Logic, 41(1):50-5, 1976. Google Scholar
  9. G. De Giacomo and M. Y. Vardi. Linear temporal logic and linear dynamic logic on finite traces. In Proceedings of the 23rd International Joint Conference on Artificial Intelligence, pages 854-860, 2013. Google Scholar
  10. Y.V. Glebskii, D.I. Kogan, M.I. Liogonkii, and V.A. Talanov. Range and degree of realizability of formulas in the restricted predicate calculus. Kibernetika, 2:17-28, 1969. Google Scholar
  11. Roger A. Horn and Charles R. Johnson. Matrix Analysis. Cambridge University Press, 1985. Google Scholar
  12. O. Kupferman and M.Y. Vardi. Model checking of safety properties. Formal Methods in System Design, 19(3):291-314, 2001. Google Scholar
  13. R. McNaughton and S. Papert. Counter-Free Automata. MIT Pres, 1971. Google Scholar
  14. Y. Nakamura. The almost equivalence by asymptotic probabilities for regular languages and its computational complexities. In Proc. 7th International Symposium on Games, Automata, Logics and Formal Verification, volume 226 of EPTCS, pages 272-286, 2016. Google Scholar
  15. A. Pnueli. The temporal semantics of concurrent programs. Theoretical Computer Science, 13:45-60, 1981. Google Scholar
  16. Jeffrey S. Rosenthal. Convergence rates for markov chains. SIAM Review, 37(3):387-405, 1995. Google Scholar
  17. Ben-David S, D. Fisman, and S. Ruah. Temporal antecedent failure: Refining vacuity. In Proc. 18th Int. Conf. on Concurrency Theory, volume 4703 of Lecture Notes in Computer Science, pages 492-506. Springer, 2007. Google Scholar
  18. A. Salomaa and M. Soittola. Automata Theoretic Aspects of Formal Power Series. Springer-Verlag, 1978. Google Scholar
  19. R. Sin'ya. An automata theoretic approach to the zero-one law for regular languages: Algorithmic and logical aspects. In Proc. 6th International Symposium on Games, Automata, Logics and Formal Verification, volume 193 of EPTCS, pages 172-185, 2015. Google Scholar
  20. A.P. Sistla. Safety, liveness and fairness in temporal logic. Formal Aspects of Computing, 6:495-511, 1994. Google Scholar
  21. P. Wolper. Temporal logic can be more expressive. Information and Control, 56(1-2):72-99, 1983. Google Scholar
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