Abstract
The subword complexity of an infinite word ξ is a function f(ξ,n) returning the number of finite subwords (factors, infixes) of length n of ξ. In the present paper we investigate infinite words for which the set of subwords occurring infinitely often is a regular language. Among these infinite words we characterise those which are eventually recurrent.
Furthermore, we derive some results comparing the asymptotics of f(ξ,n) to the information content of sets of finite or infinite words related to ξ. Finally we give a simplified proof of Theorem 6 of [18].
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References
Allouche, J.P., Shallit, J.: Automatic sequences. Cambridge University Press, Cambridge (2003)
Berstel, J., Karhumäki, J.: Combinatorics on words: a tutorial. Bulletin of the EATCS 79, 178–228 (2003)
Chomsky, N., Miller, G.A.: Finite state languages. Information and Control 1, 91–112 (1958)
Choueka, Y.: Theories of automata on ω-tapes: a simplified approach. J. Comput. System Sci. 8, 117–141 (1974)
Eilenberg, S.: Automata, languages, and machines, vol. A. Academic Press, New York (1974)
Falconer, K.: Fractal geometry. John Wiley & Sons Ltd., Chichester (1990)
Hansel, G., Perrin, D., Simon, I.: Compression and Entropy. In: Finkel, A., Jantzen, M. (eds.) STACS 1992. LNCS, vol. 577, pp. 515–528. Springer, Heidelberg (1992)
Kuich, W.: On the entropy of context-free languages. Information and Control 16, 173–200 (1970)
Marcus, S.: Quasiperiodic infinite words. Bulletin of the EATCS 82, 170–174 (2004)
Perrin, D., Schupp, P.E.: Automata on the integers, recurrence distinguishability, and the equivalence and decidability of monadic theories. In: Proceedings of Symposium on Logic in Computer Science, June 16-18, pp. 301–304. IEEE Computer Society, Cambridge (1986)
Polley, R., Staiger, L.: The maximal subword complexity of quasiperiodic infinite words. Electronic Proceedings in Theoretical Computer Science 31, 169–176 (2010), http://arxiv.org/abs/1008.1659
Semenov, A.L.: Decidability of Monadic Theories. In: Chytil, M.P., Koubek, V. (eds.) MFCS 1984. LNCS, vol. 176, pp. 162–175. Springer, Heidelberg (1984)
Staiger, L.: The entropy of finite-state ω-languages. Problems Control Inform. Theory/Problemy Upravlen. Teor. Inform. 14(5), 383–392 (1985)
Staiger, L.: Combinatorial properties of the Hausdorff dimension. J. Statist. Plann. Inference 23(1), 95–100 (1989)
Staiger, L.: Kolmogorov complexity and Hausdorff dimension. Inform. and Comput. 103(2), 159–194 (1993)
Staiger, L.: ω-Languages. In: Rozenberg, G., Salomaa, A. (eds.) Handbook of Formal Languages, vol. 3, pp. 339–387. Springer, Berlin (1997)
Staiger, L.: On ω-Power Languages. In: Păun, G., Salomaa, A. (eds.) New Trends in Formal Languages. LNCS, vol. 1218, pp. 377–394. Springer, Heidelberg (1997)
Staiger, L.: Rich ω-Words and Monadic Second-Order Arithmetic. In: Nielsen, M., Thomas, W. (eds.) CSL 1997. LNCS, vol. 1414, pp. 478–490. Springer, Heidelberg (1998)
Staiger, L.: The entropy of Łukasiewicz-languages. Theor. Inform. Appl. 39(4), 621–639 (2005)
Thomas, W.: Automata on infinite objects. In: van Leeuwen, J. (ed.) Handbook of Theoretical Computer Science, vol. B, pp. 133–191. Elsevier Science Publishers B.V., Amsterdam (1990)
Thomsen, K.: Languages of finite words occurring infinitely many times in an infinite word. Theor. Inform. Appl. 39(4), 641–650 (2005)
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Staiger, L. (2012). Asymptotic Subword Complexity. In: Bordihn, H., Kutrib, M., Truthe, B. (eds) Languages Alive. Lecture Notes in Computer Science, vol 7300. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31644-9_16
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DOI: https://doi.org/10.1007/978-3-642-31644-9_16
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