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Algorithmical Definition of Finite Binary Random Sequence

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The First Pannonian Symposium on Mathematical Statistics

Part of the book series: Lecture Notes in Statistics ((LNS,volume 8))

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Abstract

In [5] A.N. Kolmogorov has defined the complexity KF(x) of binary sequence x with respect to program F for the description of x. He prooved the existance of a universal program F0 i.e. of such a program that \({{\rm{K}}_{{{\rm{F}}_0}}}(x) \le {{\rm{K}}_{\rm{F}}}(x) + {{\rm{C}}_{\rm{F}}}\) CF-const.,for each x and F. Loosely speaking,the sequence x is random if KF o(x) is large enough.It is clear that,if the set J of sequences x is finite, then each program F is universal.This means that, in this case, the randomness can be defined arbitrary.For that reason this approach is more successful in case of infinite set J (see, for Instance[4].

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References

  1. D. Banoević and Z. Ivković: On algorithmical testing tables of random numbers, Publication de l’Institut Mathematique, Belgrade, T. 25, (1979), PP 11–15.

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  2. A. Church: On the concept of a random sequence, Bull. Imer.Math. Soc., 46, (1940), pp 150–155.

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© 1981 Springer-Verlag New York Inc.

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Banjević, D., Ivković, Z. (1981). Algorithmical Definition of Finite Binary Random Sequence. In: The First Pannonian Symposium on Mathematical Statistics. Lecture Notes in Statistics, vol 8. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-5934-3_2

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  • DOI: https://doi.org/10.1007/978-1-4612-5934-3_2

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-90583-9

  • Online ISBN: 978-1-4612-5934-3

  • eBook Packages: Springer Book Archive

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