• DocumentCode
    3636247
  • Title

    Derandomizing from Random Strings

  • Author

    Harry Buhrman;Lance Fortnow;Michal Koucký;Bruno Loff

  • Author_Institution
    CWI, Univ. of Amsterdam, Amsterdam, Netherlands
  • fYear
    2010
  • Firstpage
    58
  • Lastpage
    63
  • Abstract
    In this paper we show that BPP is truth-table reducible to the set of Kolmogorov random strings R_K. It was previously known that PSPACE, and hence BPP is Turing-reducible to R_K. The earlier proof relied on the adaptivity of the Turing-reduction to find a Kolmogorov-random string of polynomial length using the set R_K as oracle. Our new non-adaptive result relies on a new fundamental fact about the set R_K, namely each initial segment of the characteristic sequence of R_K has high Kolmogorov complexity. As a partial converse to our claim we show that strings of very high Kolmogorov-complexity when used as advice are not much more useful than randomly chosen strings.
  • Keywords
    "Polynomials","Chromium","Computational complexity","Mathematics","Turing machines","Computational modeling"
  • Publisher
    ieee
  • Conference_Titel
    Computational Complexity (CCC), 2010 IEEE 25th Annual Conference on
  • ISSN
    1093-0159
  • Print_ISBN
    978-1-4244-7214-7
  • Type

    conf

  • DOI
    10.1109/CCC.2010.15
  • Filename
    5497897