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Algorithmic Complexity and Random Strings

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Introductory Statistics and Random Phenomena

Abstract

In this chapter we will try to get to the heart of the notion of randomness by showing its fundamental connection with several concepts of algorithmic and computational complexity. Although the discussion illuminates the philosophical underpinnings of the concept of randomness for a concrete string of data, the conclusions are sobering: perfectly random strings cannot be produced by any finite algorithms (read, computers). A practical way out of this dilemma is suggested.

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Bibliographical notes

  1. C. Calude, Theories of Computational Complexity, North Holland, Amsterdam, 1988

    MATH  Google Scholar 

  2. M. Li and P. Vitányi, An Introduction to Kolmogorov Complexity and Its Applications, Springer-Verlag, New York, 1993

    MATH  Google Scholar 

  3. G. J. Chaitin, Algorithmic Information Theory, Cambridge University Press, Cambridge, 1987

    Book  Google Scholar 

  4. A. Church, On the concept of a random sequence, Bull. Amer. Math. Soc. 46(1940), 130–135.

    Article  MathSciNet  Google Scholar 

  5. A.N. Kolmogorov and V.A. Uspensky, Algorithms and randomness, SIAM Journal in Probability Theory and Applications 32(1987), 389–412 (appeared after Kolmogorov’s death in 1987).

    Article  MATH  Google Scholar 

  6. P. Martin-Löf, The definition of random sequences, Information and Control 9(1966), 602–619.

    Article  MathSciNet  Google Scholar 

  7. R. von Mises, Probability, Statistics and Truth, MacMillan, New York, 1939.

    Google Scholar 

  8. J. Ford, How random is a random coin toss, Physics Today 36(1983), 40–47 (April).

    Article  Google Scholar 

  9. D. E. Knuth, The Art of Computer Programming, Volumes 1–3, Addison-Wesley, Reading, MA, 1973

    Google Scholar 

  10. H. Niederreiter, Random Number Generation and Quasi-Monte Carlo Methods, SIAM, Philadelphia, 1992.

    Book  MATH  Google Scholar 

  11. S. Tezuka, Uniform Random Numbers. Theory and Practice, Kluwer, Boston, 1997.

    Google Scholar 

  12. D.G. Champernowne, The construction of decimals normal in the scale of ten, J. London Math. Soc. 8 (1933), 254–260.

    Article  MathSciNet  Google Scholar 

  13. Y. Dodge, A natural random number generator, Int. Stat. Review 64(1996), 329–344

    Article  MATH  Google Scholar 

  14. J. Eichenauer-Herrmann, Pseudorandom number generation by nonlinear methods, Int. Stat. Review 63(1995), 247–255.

    Article  MATH  Google Scholar 

  15. G. Marsaglia, The Marsaglia Random Number CD ROM Including the Diehard Battery of Tests of Randomness

    Google Scholar 

  16. S. Pincus and B.H. Singer, Randomness and degrees of irregularity, Proc. Natl. Acad. Sci. USA 93 (1996), 2083–2088.

    Article  MathSciNet  MATH  Google Scholar 

  17. S. Pincus and R.E. Kalman, Not all (possibly) “random” sequences are created equal, Proc. Nall. Acad. Sci. USA 94 (1997), 3513–3518.

    Article  MathSciNet  MATH  Google Scholar 

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© 1998 Springer Science+Business Media New York

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Denker, M., Woyczyński, W.A., Ycart, B. (1998). Algorithmic Complexity and Random Strings. In: Introductory Statistics and Random Phenomena. Statistics for Industry and Technology. Birkhäuser, Boston, MA. https://doi.org/10.1007/978-1-4612-2028-2_4

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  • DOI: https://doi.org/10.1007/978-1-4612-2028-2_4

  • Publisher Name: Birkhäuser, Boston, MA

  • Print ISBN: 978-1-4612-7388-2

  • Online ISBN: 978-1-4612-2028-2

  • eBook Packages: Springer Book Archive

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