Compressibility of Infinite Binary Sequences

José Luis Balcázar Navarro, Ricard Gavaldà Mestre, Montserrat Hermo Huguet
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引用次数: 4

Abstract

It is known that infinite binary sequences of constant Kolmogorov complexity are exactly the recursive ones. Such a kind of statement no longer holds in the presence of resource bounds. Contrary to what intuition might suggest, there are sequences of constant, polynomial-time bounded Kolmogorov complexity that are not polynomial-time computable. This motivates the study of several resource-bounded variants in search for a characterization, similar in spirit, of the polynomial-time computable sequences. We propose some definitions, based on Kobayashi's notion of compressibility, and compare them to both the standard resource-bounded Kolmogorov complexity of infinite strings, and the uniform complexity. Some nontrivial coincidences and disagreements are proved. The resource-unbounded case is also considered.
无限二进制序列的可压缩性
已知常数柯尔莫哥洛夫复杂度的无限二元序列就是递归序列。在存在资源边界的情况下,这种语句不再成立。与直觉可能暗示的相反,有常数序列,多项式时间有界的Kolmogorov复杂度不是多项式时间可计算的。这激发了对几个资源有限变量的研究,以寻找多项式时间可计算序列的表征,在精神上类似。基于Kobayashi的可压缩性概念,我们提出了一些定义,并将它们与无限字符串的标准资源界Kolmogorov复杂度和一致复杂度进行了比较。证明了一些重要的巧合和分歧。还考虑了资源无界的情况。
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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