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MODp-tests, almost independence and small probability spaces

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  • Probabilism
  • Conference paper
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STACS 97 (STACS 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1200))

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Abstract

We consider approximations of probability distributions over ℤ n p . We present an approach to estimate the quality of approximations towards the construction of small probability spaces which are used to derandomize algorithms. In contrast to results by Even et al. [13], our methods are simple, and for reasonably small p, we get smaller sample spaces. Our considerations are motivated by a problem which was mentioned in recent work of Azar et al. [5], namely, how to construct in time polynomial in n a good approximation to the joint probability distribution of i.i.d. random variables X 1,...,X n where each X i has values in {0,1}. Our considerations improve on results in [5].

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Authors and Affiliations

  1. Lehrstuhl Informatik II, Universität Dortmund, D-44221, Dortmund, Germany

    Claudia Bertram-Kretzberg & Hanno Lefmann

Authors
  1. Claudia Bertram-Kretzberg
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  2. Hanno Lefmann
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Rüdiger Reischuk Michel Morvan

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© 1997 Springer-Verlag Berlin Heidelberg

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Bertram-Kretzberg, C., Lefmann, H. (1997). MODp-tests, almost independence and small probability spaces. In: Reischuk, R., Morvan, M. (eds) STACS 97. STACS 1997. Lecture Notes in Computer Science, vol 1200. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0023455

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  • DOI: https://doi.org/10.1007/BFb0023455

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-62616-9

  • Online ISBN: 978-3-540-68342-1

  • eBook Packages: Springer Book Archive

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