字符和的Weil界的新扩展及其在编码中的应用

T. Kaufman, Shachar Lovett
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引用次数: 21

摘要

特征和的Weil界是代数几何中的一个深刻结果,在数学和理论计算机科学中都有许多应用。Weil界表明,对于有限域$\mathbb{F}$上的任何多项式$f(x)$和任何可加性字符$\chi:\mathbb{F} \to \mathbb{C}$, $\chi(f(x))$要么是常数函数,要么是接近均匀分布的函数。Weil约束在$\deg(f) \ll \sqrt{|\mathbb{F}|}$时是有效的,但当$f$的程度超过$\sqrt{|\mathbb{F}|}$时,它就失效了。由于Weil界在许多领域起着核心作用,因此寻找更大次多项式的扩展是一个具有许多可能应用的重要问题。本文在小特征有限域$\mathbb{F}_{p^n}$上进行了推广,证明了如果$f(x)=g(x)+h(x)$其中$\deg(g) \ll \sqrt{|\mathbb{F}|}$和$h(x)$是任意次但权值有界的稀疏多项式,则经典Weil界的相同结论仍然成立:$\chi(f(x))$是常数或其分布接近均匀。特别地,这表明由稀疏多项式的迹线生成的次数为$\omega(1)$的Reed-Muller码的子码是一个接近最优距离的码,而这种次数的Reed-Muller码没有距离(即$o(1)$距离),这是少数可以证明稀疏多项式与相同次数的非稀疏多项式行为不同的例子之一。作为应用,我们证明了仿射不变码的一些新的一般结果。证明了拟多项式大小的仿射不变子空间是(1)确实是一个码(即具有良好的距离),(2)是局部可测试的。以前关于一般仿射不变码的结果只适用于多项式大小的码,以及长度为$2^n$的码,其中$n$需要是素数。因此,我们的技术是第一个扩展到这种超多项式大小的代码的一般族,其中我们还从$n$中删除了素数的要求。该证明基于两个主要成分:对特征和的Weil界的扩展,以及估计具有大对偶距离的一般码的权分布的新的傅立叶解析方法,这可能是一个独立的兴趣。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
New Extension of the Weil Bound for Character Sums with Applications to Coding
The Weil bound for character sums is a deep result in Algebraic Geometry with many applications both in mathematics and in the theoretical computer science. The Weil bound states that for any polynomial $f(x)$ over a finite field $\mathbb{F}$ and any additive character $\chi:\mathbb{F} \to \mathbb{C}$, either $\chi(f(x))$ is a constant function or it is distributed close to uniform. The Weil bound is quite effective as long as $\deg(f) \ll \sqrt{|\mathbb{F}|}$, but it breaks down when the degree of $f$ exceeds $\sqrt{|\mathbb{F}|}$. As the Weil bound plays a central role in many areas, finding extensions for polynomials of larger degree is an important problem with many possible applications. In this work we develop such an extension over finite fields $\mathbb{F}_{p^n}$ of small characteristic: we prove that if $f(x)=g(x)+h(x)$ where $\deg(g) \ll \sqrt{|\mathbb{F}|}$ and $h(x)$ is a sparse polynomial of arbitrary degree but bounded weight degree, then the same conclusion of the classical Weil bound still holds: either $\chi(f(x))$ is constant or its distribution is close to uniform. In particular, this shows that the sub code of Reed-Muller codes of degree $\omega(1)$ generated by traces of sparse polynomials is a code with near optimal distance, while Reed-Muller of such a degree has no distance (i.e. $o(1)$ distance), this is one of the few examples where one can prove that sparse polynomials behave differently from non-sparse polynomials of the same degree. As an application we prove new general results for affine invariant codes. We prove that any affine-invariant subspace of quasi-polynomial size is (1) indeed a code (i.e. has good distance) and (2) is locally testable. Previous results for general affine invariant codes were known only for codes of polynomial size, and of length $2^n$ where $n$ needed to be a prime. Thus, our techniques are the first to extend to general families of such codes of super-polynomial size, where we also remove the requirement from $n$ to be a prime. The proof is based on two main ingredients: the extension of the Weil bound for character sums, and a new Fourier-analytic approach for estimating the weight distribution of general codes with large dual distance, which may be of independent interest.
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