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Optimal Error Pseudodistributions for Read-Once Branching Programs

机译:用于读一次分支程序的最佳错误伪分布

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In a seminal work, Nisan (Combinatorica’92) constructed a pseudorandom generator for length n and width w read-once branching programs with seed length O(log n · log(nw) log n · log(1/ε)) and error ε. It remains a central question to reduce the seed length to O(log(nw/ε)), which would prove that BPL = L. However, there has been no improvement on Nisan’s construction for the case n = w, which is most relevant to space-bounded derandomization. Recently, in a beautiful work, Braverman, Cohen and Garg (STOC’18) introduced the notion of a pseudorandom pseudo-distribution (PRPD) and gave an explicit construction of a PRPD with seed length O?(log n · log(nw) log(1/ε)). A PRPD is a relaxation of a pseudorandom generator, which suffices for derandomizing BPL and also implies a hitting set. Unfortunately, their construction is quite involved and complicated. Hoza and Zuckerman (FOCS’18) later constructed a much simpler hitting set generator with seed length O(log n · log(nw) log(1/ε)), but their techniques are restricted to hitting sets. In this work, we construct a PRPD with seed length O(log n · log(nw) · log log(nw) log(1/ε)). This improves upon the construction in [BCG18] by a O(log log(1/ε)) factor, and is optimal in the small error regime. In addition, we believe our construction and analysis to be simpler than the work of Braverman, Cohen and Garg.
机译:在一个开创性的工作中,Nisan(Combinatorica'92)构造了用于长度n和宽度W的伪随机发生器,具有种子长度O的读取程序(log n·log(nw)log n·log(1 /ε))和错误ε。将种子长度降低到O(log(nw /ε))仍然是一个核心问题,这将证明BPL = L.然而,没有改善NISAN的情况N = W的案例,这是最相关的空间义的裂缝化。最近,在一项美丽的工作中,Braverman,Cohen和Garg(STOC'18)介绍了伪随机伪分布(PRPD)的概念,并具有种子长度O的明确建设,种子长度O?(log n·log(nw)日志(1 /ε))。 PRPD是伪随机发生器的放松,其足以嘲笑BPL并且也意味着击中集。不幸的是,他们的建筑相当涉及和复杂。 Hoza和Zuckerman(Focs'18)后来构建了一个简单的击中设置发生器,种子长度O(log n·log(nw)log(1 /ε)),但它们的技术仅限于击中集。在这项工作中,我们用种子长度O构建一个prpd(log n·log(nw)·log log(nw)log(1 /ε))。这改善了通过O的[BCG18]的结构(日志日志(1 /ε))因子,并且在小错误状态下是最佳的。此外,我们认为我们的建筑和分析比Braverman,Cohen和Garg的工作更简单。

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