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On Selection Functions that Do Not Preserve Normality

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Mathematical Foundations of Computer Science 2003 (MFCS 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2747))

Abstract

The sequence selected from a sequence R(0)R(1)... by a language L is the subsequence of all bits R(n+1) such that the prefix R(0)... R(n) is in L. By a result of Agafonoff [1], a sequence is normal if and only if any subsequence selected by a regular language is again normal. Kamae and Weiss [11] and others have raised the question of how complex a language must be such that selecting according to the language does not preserve normality. We show that there are such languages that are only slightly more complicated than regular ones, namely, normality is neither preserved by linear languages nor by deterministic one-counter languages. In fact, for both types of languages it is possible to select a constant sequence from a normal one.

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References

  1. Agafonoff, V.N.: Normal sequences and finite automata. Soviet Mathematics Doklady 9, 324–325 (1968)

    Google Scholar 

  2. Ambos-Spies, K.: Algorithmic randomness revisited. In: McGuinness, B. (ed.) Language, Logic and Formalization of Knowledge, Bibliotheca (1998)

    Google Scholar 

  3. Ambos-Spies, K., Kučera, A.: Randomness in computability theory. In: Cholak, P., et al. (eds.) Computability Theory: Current Trends and Open Problems, Contemporary Mathematics, vol. 257, pp. 1–14. American Mathematical Society, Providence (2000)

    Google Scholar 

  4. Ambos-Spies, K., Mayordomo, E.: Resource-bounded balanced genericity, stochasticity and weak randomness. In: Complexity, Logic, and Recursion Theory. Marcel Dekker, New York (1997)

    Google Scholar 

  5. Autebert, J.-M., Berstel, J., Boasson, L.: Context-Free Languages and Pushdown Automata. In: Rozenberg, G., Salomaa, A. (eds.) Handbook of formal languages. Springer, Heidelberg (1997)

    Google Scholar 

  6. Balcázar, J.L., Díaz, J., Gabarró, J.: Structural Complexity, vol. I, II. Springer, Heidelberg (1995/1990)

    MATH  Google Scholar 

  7. Broglio, A., Liardet, P.: Predictions with automata. In: Symbolic dynamics and its applications. Proc. AMS Conf. in honor of R. L. Adler, New Haven/CT (USA) 1991. Contemporary Mathematics, vol. 135, pp. 111–124. American Mathematical Society, Providence (1992)

    Google Scholar 

  8. Champernowne, D.G.: The construction of decimals normal in the scale of ten. Journal of the London Mathematical Society 8, 254–260 (1933)

    Article  MATH  Google Scholar 

  9. Church, A.: On the concept of a random number. Bulletin of the AMS 46, 130–135 (1940)

    Article  MathSciNet  Google Scholar 

  10. Kamae, T.: Subsequences of normal seuqences. Isreal Journal of Mathematics 16, 121–149 (1973)

    Article  MathSciNet  Google Scholar 

  11. Kamae, T., Weiss, B.: Normal numbers and selection rules. Isreal Journal of Mathematics 21(2-3), 101–110 (1975)

    Article  MATH  MathSciNet  Google Scholar 

  12. van Lambalgen, M.: Random Sequences, Doctoral dissertation. University of Amsterdam, Amsterdam (1987)

    Google Scholar 

  13. Li, M., Vitányi, P.: An Introduction to Kolmogorov Complexity and Its Applications, 2nd edn. Springer, Heidelberg (1997)

    MATH  Google Scholar 

  14. Lutz, J.H.: The quantitative structure of exponential time. In: Hemaspaandra, L.A., Selman, A.L. (eds.) Complexity Theory Retrospective II. Springer, Heidelberg (1997)

    Google Scholar 

  15. O’Connor, M.G.: An unpredictability approach to finite-state randomness. Journal of Computer and System Sciences 37(3), 324–336 (1988)

    Article  MATH  MathSciNet  Google Scholar 

  16. Odifreddi, P.: Classical Recursion Theory, vol. I. North-Holland, Amsterdam (1989)

    MATH  Google Scholar 

  17. Postnikova, L.P.: On the connection between the concepts of collectives of Mises-Church and normal Bernoulli sequences of symbols. Theory of Probability and its Applications 6, 211–213 (1961)

    Article  MATH  MathSciNet  Google Scholar 

  18. Schnorr, C.P., Stimm, H.: Endliche Automaten und Zufallsfolgen. Acta Informatica 1, 345–359 (1972)

    Article  MATH  MathSciNet  Google Scholar 

  19. Shen, A.K.: On relations between different algorithmic definitions of randomness. Soviet Mathematics Doklady 38, 316–319 (1988)

    Google Scholar 

  20. Uspensky, V.A., Semenov, A.L., Shen, A.K.: 121–189. Russian Math. Surveys 45, 121–189 (1990)

    Article  MathSciNet  Google Scholar 

  21. Ville, J.: Étude Critique de la Notion de Collectif. Gauthiers-Villars (1939)

    Google Scholar 

  22. von Mises, R.: Probability, Statistics and Truth. Macmillan, Basingstoke (1957)

    MATH  Google Scholar 

  23. Weiss, B.: Single Orbit Dynamics. CBMS Regional Conference Series in Mathematics. American Mathematical Society, Providence (2000)

    MATH  Google Scholar 

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Merkle, W., Reimann, J. (2003). On Selection Functions that Do Not Preserve Normality. In: Rovan, B., Vojtáš, P. (eds) Mathematical Foundations of Computer Science 2003. MFCS 2003. Lecture Notes in Computer Science, vol 2747. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45138-9_54

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  • DOI: https://doi.org/10.1007/978-3-540-45138-9_54

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40671-6

  • Online ISBN: 978-3-540-45138-9

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