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Testing Low-Degree Polynomials over Prime Fields

  • Charanjit S. Jutla
  • , Atri Rudra
  • , Anindya C. Patthak
  • , David Zuckerman
  • IBM
  • University of Texas at Austin

Research output: Contribution to journal › Conference article › peer-review

46 Scopus citations

Abstract

We present an efficient randomized algorithm to test if a given function f: F script sign p n F script sign p (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 ·p 2t/p-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 + p t+1/p-1) points.

Original languageEnglish
Pages (from-to)423-432
Number of pages10
JournalAnnual Symposium on Foundations of Computer Science - Proceedings
StatePublished - 2004
EventProceedings - 45th Annual IEEE Symposium on Foundations of Computer Science, FOCS 2004 - Rome, Italy
Duration: Oct 17 2004 → Oct 19 2004

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