• DocumentCode
    2653567
  • Title

    Hitting Set Generators for Sparse Polynomials over Any Finite Fields

  • Author

    Lu, Chi-Jen

  • Author_Institution
    Inst. of Inf. Sci., Taipei, Taiwan
  • fYear
    2012
  • fDate
    26-29 June 2012
  • Firstpage
    280
  • Lastpage
    286
  • Abstract
    We consider the problem of constructing hitting set generators for sparse multivariate polynomials over any finite fields. Hitting set generators, just as pseudorandom generators, play a fundamental role in the study of derandomization. Pseudorandom generators with a logarithmic seed length are only known for polynomials of a constant degree cite{Lov09, Vio09}. On the other hand, hitting set generators with a logarithmic seed length are known for polynomials of larger degrees, but only over fields which are much larger than the degrees cite{KS01, Bog05}. Our main result is the construction of a hitting set generator with a seed length of O(log s), which works for s-term polynomials of any degrees over any finite fields of constant size. This gives the first optimal hitting set generator which allows the fields to be smaller than the degrees of polynomials. For larger fields, of non-constant size, we provide another hitting set generator with a seed length of O(log (sd)), which works for s-term polynomials of any degree d, as long as d is slightly smaller than the field size.
  • Keywords
    computational complexity; random number generation; constant degree polynomials; derandomization; finite fields; logarithmic seed length; nonconstant size; optimal hitting set generator; pseudorandom generators; s-term polynomials; sparse multivariate polynomials; Complexity theory; Conferences; Eigenvalues and eigenfunctions; Generators; Input variables; Polynomials; Vectors; finite fields; hitting set generators; pseudorandomness; sparse polynomials;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Complexity (CCC), 2012 IEEE 27th Annual Conference on
  • Conference_Location
    Porto
  • ISSN
    1093-0159
  • Print_ISBN
    978-1-4673-1663-7
  • Type

    conf

  • DOI
    10.1109/CCC.2012.20
  • Filename
    6243404