• DocumentCode
    2075156
  • Title

    Testing low-degree polynomials over prime fields

  • Author

    Jutla, Charanjit S. ; Patthak, Anindya C. ; Rudra, Atri ; Zuckerman, David

  • Author_Institution
    IBM Thomas J. Watson Res. Center, Yorktown Heights, NY, USA
  • fYear
    2004
  • fDate
    17-19 Oct. 2004
  • Firstpage
    423
  • Lastpage
    432
  • Abstract
    We present an efficient randomized algorithm to test if a given function f : Fp n → Fp (where p is a prime) is a low-degree polynomial. This gives a local test for generalized Reed-Muller codes over prime fields. For a given integer t and a given real ε > 0, the algorithm queries f at 1/ε + t·p2rp-1+O(1)/ points to determine whether f can be described by a polynomial of degree at most t. If f is indeed a polynomial of degree at most t, our algorithm always accepts, and if f has a relative distance at least e from every degree t polynomial, then our algorithm rejects f with probability at least 1/2. Our result is almost optimal since any such algorithm must query f on at least Ω(1/ε + pr+1p-1/) points.
  • Keywords
    Reed-Muller codes; polynomials; randomised algorithms; generalized Reed-Muller codes; low-degree polynomial testing; prime fields; randomized algorithm; Automatic testing; Codes; Computer science; Polynomials;
  • 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.2004.64
  • Filename
    1366262