Skip to main navigation Skip to search Skip to main content

Testing low-degree polynomials over prime fields

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

Research output: Contribution to journalArticlepeer-review

30 Scopus citations

Abstract

We present an efficient randomized algorithm to test if a given function f: Fnp → 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 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 ε 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 points.

Original languageEnglish
Pages (from-to)163-193
Number of pages31
JournalRandom Structures and Algorithms
Volume35
Issue number2
DOIs
StatePublished - Sep 2009

Keywords

  • Generalized Reed-Muller code
  • Local correction
  • Local testing
  • Polynomials

Fingerprint

Dive into the research topics of 'Testing low-degree polynomials over prime fields'. Together they form a unique fingerprint.

Cite this