抽样不相交集的下界

Thomas Watson
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引用次数: 4

摘要

假设Alice和Bob都从私有随机性出发,没有其他输入,并且他们希望参与一个协议,其中Alice最终得到一个x倍于[n], Bob最终得到一个y倍于[n]的集合,使得(x,y)均匀分布在所有不相交的集合对上。我们证明了对于某些常数β < 1,这需要Ω (n)通信,即使在目标分布的统计距离1−βn内。此前,Ambainis, Schulman, Ta-Shma, Vazirani, and Wigderson (FOCS 1998)证明了Ω(√n)通信需要在大小为√n的所有对不相交集的均匀分布的某一恒定统计距离内得到。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Lower Bound for Sampling Disjoint Sets
Suppose Alice and Bob each start with private randomness and no other input, and they wish to engage in a protocol in which Alice ends up with a set x⊆ [n] and Bob ends up with a set y⊆ [n], such that (x,y) is uniformly distributed over all pairs of disjoint sets. We prove that for some constant β < 1, this requires Ω (n) communication even to get within statistical distance 1− βn of the target distribution. Previously, Ambainis, Schulman, Ta-Shma, Vazirani, and Wigderson (FOCS 1998) proved that Ω (√n) communication is required to get within some constant statistical distance ɛ > 0 of the uniform distribution over all pairs of disjoint sets of size √n.
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