低次多项式的噪声插值集

Zeev Dvir, Amir Shpilka
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引用次数: 9

摘要

d次多项式的噪声插值集(NIS)是一个集合S子Fn,其中F是一个有限域,使得任意d次多项式q在F[x1,…], xn]可以有效地从它在S上的值插入,即使对手破坏了值的恒定部分。在本文中,我们为每个素数域Fp和任何阶数d构造显式NIS。我们的集合大小为O(nd),并且具有有效的插值算法,可以从分数exp(-O(d))的错误中恢复q。我们的构造基于一个定理,该定理大致表明,如果s是I次多项式的NIS,则dldr = {alpha1 +…+ alpha | alpha1 isin S}是d次多项式的NIS。此外,给定S的有效插值算法,我们展示了如何以黑盒方式使用它来构建d ldr S的有效插值算法。作为一个推论,我们得到了一个明确的穿孔Reed-Muller码族,这是一个具有有效解码算法的好码族,从恒定的错误分数。据我们所知,以前没有这样的构造。
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Noisy Interpolating Sets for Low Degree Polynomials
A noisy interpolating set (NIS) for degree d polynomials is a set S sube Fn, where F is a finite field, such that any degree d polynomial q isin F[x1,..., xn] can be efficiently interpolated from its values on S, even if an adversary corrupts a constant fraction of the values. In this paper we construct explicit NIS for every prime field Fp and any degree d. Our sets are of size O(nd) and have efficient interpolation algorithms that can recover qfrom a fraction exp(-O(d)) of errors. Our construction is based on a theorem which roughly states that ifS is a NIS for degree I polynomials then dldrS = {alpha1 + ... + alphad | alpha1 isin S} is a NIS for degree d polynomials. Furthermore, given an efficient interpolation algorithm for S, we show how to use it in a black-box manner to build an efficient interpolation algorithm for d ldr S. As a corollary we get an explicit family of punctured Reed-Muller codes that is a family of good codes that have an efficient decoding algorithm from a constant fraction of errors. To the best of our knowledge no such construction was known previously.
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