• DocumentCode
    2075068
  • Title

    Deterministic extractors for bit-fixing sources by obtaining an independent seed

  • Author

    Gabizon, Ariel ; Raz, Ran ; Shaltiel, Ronen

  • Author_Institution
    Weizmann Inst., Israel
  • fYear
    2004
  • fDate
    17-19 Oct. 2004
  • Firstpage
    394
  • Lastpage
    403
  • Abstract
    An {n, k)-bit-fixing source is a distribution X over {0, 1}n such that there is a subset of k variables in X1, ..., Xn which are uniformly distributed and independent of each other, and the remaining n - k variables are fixed. A deterministic bit-fixing source extractor is a function E : {0, l}n → {0, l}m which on an arbitrary (n, k)-bit-fixing source outputs m bits that are statistically-close to uniform. Recently, Kamp and Zuckerman (2003) gave a construction of deterministic bit-fixing source extractor that extracts Ω(k2/n) bits, and requires k > √n. In this paper we give constructions of deterministic bit-fixing source extractors that extract (1 -o(1))k bits whenever k > (log n)c for some universal constant c > 0. Thus, our constructions extract almost all the randomness from bit-fixing sources and work even when k is small. For k ≫ √n the extracted bits have statistical distance 2-nΩ(1) from uniform, and for k ≤ √n the extracted bits have statistical distance k-Ω(1) from uniform. Our technique gives a general method to transform deterministic bit-fixing source extractors that extract few bits into extractors which extract almost all the bits.
  • Keywords
    random functions; statistical distributions; deterministic bit-fixing source extractor; deterministic extractor; independent seed; statistical distance; universal constant; Circuits; Computer science; Distributed computing; Radio access networks; Scholarships;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Foundations of Computer Science, 2004. Proceedings. 45th Annual IEEE Symposium on
  • ISSN
    0272-5428
  • Print_ISBN
    0-7695-2228-9
  • Type

    conf

  • DOI
    10.1109/FOCS.2004.21
  • Filename
    1366259