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Testing Low-Degree Polynomials over Prime Fields
45th Annual IEEE Symposium on Foundat ...
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Charanjit S. Jutla, IBM Thomas J. Watson Research Center
Anindya C. Patthak, University of Texas at Austin
Atri Rudra, University of Washington
David Zuckerman, University of Texas at Austin
We present an efficient randomized algorithm to test if a given function f : F_p^n \to F_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 \frac{1}{\varepsilon } + t \cdot p^{\frac{{2t}}{{p - 1}} + 0(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 \varepsilon from every degree t polynomial, then our algorithm rejects f with probability at least \frac{1}{2}. Our result is almost optimal since any such algorithm must query f on at least \Omega (\frac{1}{\varepsilon } + p^{\frac{{t + 1}}{{p - 1}}} ) points.
Citation:
Charanjit S. Jutla, Anindya C. Patthak, Atri Rudra, David Zuckerman, "Testing Low-Degree Polynomials over Prime Fields," focs,pp.423-432, 45th Annual IEEE Symposium on Foundations of Computer Science (FOCS'04), 2004
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