• DocumentCode
    2376112
  • Title

    Symmetry of Information and Bounds on Nonuniform Randomness Extraction via Kolmogorov Extractors

  • Author

    Zimand, Marius

  • Author_Institution
    Towson Univ., Baltimore, MD, USA
  • fYear
    2011
  • fDate
    8-11 June 2011
  • Firstpage
    148
  • Lastpage
    156
  • Abstract
    We prove a strong Symmetry of Information relation for random strings (in the sense of Kolmogorov complexity) and establish tight bounds on the amount on nonuniformity that is necessary for extracting a string with randomness rate 1 from a single source of randomness. More precisely, as instantiations of more general results, we show: · For all n-bit random strings x and y, x is random conditioned by y if and only if y is random conditioned by x; · While O(1) amount of advice regarding the source is not enough for extracting a string with randomness rate 1 from a source string with constant random rate, ω(1) amount of advice is. The proofs use Kolmogorov extractors as the main technical device.
  • Keywords
    computational complexity; Kolmogorov complexity; Kolmogorov extractors; information relation symmetry; nonuniform randomness extraction; random strings; randomness rate; Complexity theory; Data mining; Generators; Information theory; Polynomials; Probabilistic logic; Turing machines; Kolmogorov extractors; Symmetry of information; random strings; randomness extraction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Complexity (CCC), 2011 IEEE 26th Annual Conference on
  • Conference_Location
    San Jose, CA
  • ISSN
    1093-0159
  • Print_ISBN
    978-1-4577-0179-5
  • Electronic_ISBN
    1093-0159
  • Type

    conf

  • DOI
    10.1109/CCC.2011.21
  • Filename
    5959804