Deterministic simulation in LOGSPACE

M. Ajtai, J. Komlos, E. Szemerédi
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引用次数: 244

Abstract

In this paper we show that a wide class of probabilistic algorithms can be simulated by deterministic algorithms. Namely if there is a test in LOGSPACE so that a random sequence of length (log n)2 / log log n passes the test with probability at least 1/n then a deterministic sequence can be constructed in LOGSPACE which also passes the test. It is important that the machine performing the test gets each bit of the sequence only once. The theorem remains valid if both the test and the machine constructing the satisfying sequence have access to the same oracle of polynomial size. The sequence that we construct does not really depend on the test, in the sense that a polynomial family of sequences is constructed so that at least one of them passes any test. This family is the same even if the test is allowed to use an oracle of polynomial size, and it can be constructed in LOGSPACE (without using an oracle).
LOGSPACE中的确定性仿真
在本文中,我们证明了一类广泛的概率算法可以用确定性算法来模拟。也就是说,如果在LOGSPACE中存在一个测试,使得长度为(log n)2 / log log n的随机序列以至少1/n的概率通过测试,那么在LOGSPACE中可以构造一个同样通过测试的确定性序列。重要的是,执行测试的机器只获得序列的每个位一次。如果测试和构造满足序列的机器都访问相同的多项式大小的oracle,则定理仍然有效。我们构造的序列并不依赖于检验,在某种意义上说,一个多项式序列族的构造使得它们中至少有一个通过了任何检验。即使允许测试使用多项式大小的oracle,这个家族也是相同的,并且它可以在LOGSPACE中构造(不使用oracle)。
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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