Strongly exponential lower bounds for monotone computation

T. Pitassi, Robert Robere
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引用次数: 46

Abstract

For a universal constant α > 0 we prove size lower bounds of 2α(n) for an explicit function in monotone NP in the following models of computation: monotone formulas, monotone switching networks, monotone span programs, and monotone comparator circuits, where n is the number of variables of the underlying function. Our lower bounds improve on the best previous bounds in each of these models, and are the best possible for any function up to constant factors in the exponent. Moreover, we give one unified proof that is short and fairly elementary.
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单调计算的强指数下界
对于普遍常数α > 0,我们证明了在单调NP中显式函数的2α(n)的大小下界在以下计算模型中:单调公式,单调交换网络,单调跨规划和单调比较电路,其中n是底层函数的变量数。我们的下界改进了这些模型的最佳上界,并且对于任何函数都是最好的,直到指数中的常数因子。此外,我们还给出了一个简短而相当初等的统一证明。
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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