• DocumentCode
    2376102
  • Title

    A New Approach to Affine Extractors and Dispersers

  • Author

    Li, Xin

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Texas at Austin, Austin, TX, USA
  • fYear
    2011
  • fDate
    8-11 June 2011
  • Firstpage
    137
  • Lastpage
    147
  • Abstract
    We study the problem of constructing affine extractors over GF(2). Previously the only known construction that can handle sources with arbitrarily linear entropy is due to Bourgain (and a slight modification by Yehudayoff), which makes extensive use of complicated inequality manipulations and relies on a careful choice of a polynomial. In this paper we give a new and conceptually much cleaner construction of affine extractors for linear entropy sources that outputs a constant fractionof the entropy with exponentially small error. This matches theprevious best result of Bourgain. The extractor can be pushed tohandle affine sources with entropy n/√(log n log n). This slightly improves Bourgain´s result andmatches the recent result of Yehudayoff. We also give a zero-error disperser for affine sources with entropy n/√(log n) that outputs nΩ(1) bits. This improves previousconstructions of affine dispersers that output more than 1 bit. In contrast to Bourgain´s construction, our construction mainly uses extractor machinery and basic properties of polynomials. Some of our techniques may be of independent interest.
  • Keywords
    affine transforms; computational complexity; entropy; random processes; statistical distributions; Bourgain; Yehudayoff; affine disperser approach; affine extractor approach; inequality manipulations; linear entropy; polynomial properties; zero-error disperser; Algorithm design and analysis; Corporate acquisitions; Correlation; Entropy; Polynomials; Random variables; Vectors; affine; disperser; extractor; randomness;
  • 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.2011.27
  • Filename
    5959803