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| Content Provider | Society for Industrial and Applied Mathematics (SIAM) |
|---|---|
| Author | Viola, Emanuele Bogdanov, Andrej |
| Copyright Year | 2010 |
| Abstract | We present a new approach to constructing pseudorandom generators that fool low-degree polynomials over finite fields, based on the Gowers norm. Using this approach, we obtain the following main constructions of explicitly computable generators $G:\mathbb{F}^s\to\mathbb{F}^n$ that fool polynomials over a finite field $\mathbb{F}$: We stress that the results in (1) and (2) are unconditional, i.e., do not rely on any unproven assumption. Moreover, the results in (3) rely on a special case of the conjecture which may be easier to prove. Our generator for degree-d polynomials is the componentwise sum of d generators for degree-1 polynomials (on independent seeds). Prior to our work, generators with logarithmic seed length were only known for degree-1 (i.e., linear) polynomials [J. Naor and M. Naor, SIAM J. Comput., 22 (1993), pp. 838856]. In fact, over small fields such as $\mathbb{F}_2=\{0,1\}$, our results constitute the first progress on these problems since the long-standing generator by Luby, Velikovi, and Wigderson [Deterministic approximate counting of depth-2 circuits, in Proceedings of the 2nd Israeli Symposium on Theoretical Computer Science (ISTCS), 1993, pp. 1824], whose seed length is much bigger: $s=\exp\left(\Omega\left(\sqrt{\log n}\right)\right)$, even for the case of degree-2 polynomials over $\mathbb{F}_2$. |
| Starting Page | 2464 |
| Ending Page | 2486 |
| Page Count | 23 |
| File Format | |
| ISSN | 00975397 |
| DOI | 10.1137/070712109 |
| e-ISSN | 10957111 |
| Journal | SIAM Journal on Computing (SMJCAT) |
| Issue Number | 6 (Special Section On Foundations of Computer Science) |
| Volume Number | 39 |
| Language | English |
| Publisher | Society for Industrial and Applied Mathematics |
| Publisher Date | 2010-04-30 |
| Access Restriction | Subscribed |
| Subject Keyword | Computational difficulty of problems Modes of computation pseudorandom generator Gowers norm polynomial bias degree General Complexity classes |
| Content Type | Text |
| Resource Type | Article |
| Subject | Mathematics Computer Science |
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