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Pseudorandom generators for polynomial threshold functions

机译:用于多项式阈值函数的伪随机数生成器

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摘要

We study the natural question of constructing pseudorandom generators (PRGs) for low-degree polynomial threshold functions (PTFs). We give a PRG with seed length log n/ε~(O(d)) fooling degree d PTFs with error at most ε. Previously, no nontrivial constructions were known even for quadratic threshold functions and constant error ε. For the class of degree 1 threshold functions or halfspaces, previously only PRGs with seed length O(log n log~2(1/ε)/ε2) were known. We improve this dependence on the error parameter and construct PRGs with seed length O(log n + log ~2(1/ε)) that ε-fool halfspaces. We also obtain PRGs with similar seed lengths for fooling halfspaces over the n-dimensional unit sphere. The main theme of our constructions and analysis is the use of invariance principles to construct PRGs. We also introduce the notion of monotone read-once branching programs, which is key to improving the dependence on the error rate ε for halfspaces. These techniques may be of independent interest.
机译:我们研究为低次多项式阈值函数(PTF)构造伪随机发生器(PRG)的自然问题。我们给出了种子长度为log n /ε〜(O(d))虚假度为d个PTF且误差最大为ε的PRG。以前,即使对于二次阈值函数和恒定误差ε,也没有非平凡的构造是已知的。对于1级阈值函数或半空间,以前仅知道种子长度为O(log n log〜2(1 /ε)/ε2)的PRG。我们改善了对误差参数的依赖性,并构造了种子长度为O(log n + log〜2(1 /ε))且伪装半空间的PRG。我们还获得了具有相似种子长度的PRG,以欺骗n维单位球面上的半空间。我们的构建和分析的主题是使用不变性原理构建PRG。我们还介绍了单调一次读取分支程序的概念,这对于改善对半空间错误率ε的依赖至关重要。这些技术可能具有独立的意义。

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