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45th Annual IEEE Symposium on Foundations of Computer Science (FOCS'04)
Testing Low-Degree Polynomials over Prime Fields
Rome, Italy
October 17-October 19
ISBN: 0-7695-2228-9
| ASCII Text | x | ||
| Charanjit S. Jutla, Anindya C. Patthak, Atri Rudra, David Zuckerman, "Testing Low-Degree Polynomials over Prime Fields," Foundations of Computer Science, IEEE Annual Symposium on, pp. 423-432, 45th Annual IEEE Symposium on Foundations of Computer Science (FOCS'04), 2004. | |||
| BibTex | x | ||
| @article{ 10.1109/FOCS.2004.64, author = {Charanjit S. Jutla and Anindya C. Patthak and Atri Rudra and David Zuckerman}, title = {Testing Low-Degree Polynomials over Prime Fields}, journal ={Foundations of Computer Science, IEEE Annual Symposium on}, volume = {0}, year = {2004}, issn = {0272-5428}, pages = {423-432}, doi = {http://doi.ieeecomputersociety.org/10.1109/FOCS.2004.64}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Foundations of Computer Science, IEEE Annual Symposium on TI - Testing Low-Degree Polynomials over Prime Fields SN - 0272-5428 SP423 EP432 A1 - Charanjit S. Jutla, A1 - Anindya C. Patthak, A1 - Atri Rudra, A1 - David Zuckerman, PY - 2004 KW - null VL - 0 JA - Foundations of Computer Science, IEEE Annual Symposium on ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/FOCS.2004.64
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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