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arXiv math/0604353math.CO
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大距离的低度测试

Low-degree tests at large distances

Alex Samorodnitsky

摘要:

我们定义测试布尔函数区分线性(或二次)多项式,和功能是非常远,在适当的意义上,从这些多项式。测试在可靠性和查询数量之间具有最优或接近最优的权衡。特别是,我们表明,小Gowers一致性规范的功能表现“随机”相对于超图线性测试。在我们的二次性测试的分析的一个中心步骤是证明的第三个Gowers一致性规范的布尔函数的逆定理。最后的结果也有一个编码理论的应用。这是可能的,有效地估计距离的二阶Reed-Muller码的输入远远超出其列表解码半径。

英文摘要:

We define tests of boolean functions which distinguish between linear (or quadratic) polynomials, and functions which are very far, in an appropriate sense, from these polynomials. The tests have optimal or nearly optimal trade-offs between soundness and the number of queries. In particular, we show that functions with small Gowers uniformity norms behave ``randomly'' with respect to hypergraph linearity tests. A central step in our analysis of quadraticity tests is the proof of an inverse theorem for the third Gowers uniformity norm of boolean functions. The last result has also a coding theory application. It is possible to estimate efficiently the distance from the second-order Reed-Muller code on inputs lying far beyond its list-decoding radius.

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