Amplification of probabilistic boolean formulas

R. Boppana
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引用次数: 62

Abstract

The amplification of probabilistic Boolean formulas refers to combining independent copies of such formulas to reduce the error probability. Les Valiant used the amplification method to produce monotone Boolean formulas of size O(n5.3) for the majority function of n variables. In this paper we show that the amount of amplification that Valiant obtained is optimal. In addition, using the amplification method we give an O(k4.3 n log n) upper bound for the size of monotone formulas computing the kth threshold function of n variables.
概率布尔公式的放大
概率布尔公式的放大是指将这些公式的独立副本组合在一起,以降低错误概率。Les Valiant使用放大法为n个变量的多数函数生成了大小为O(n5.3)的单调布尔公式。在本文中,我们证明了Valiant获得的放大量是最优的。此外,利用放大法,我们给出了计算n个变量的第k个阈值函数的单调公式大小的上界(k4.3 n log n)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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