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Dimension Is Compression

机译:尺寸就是压缩

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Effective fractal dimension was defined by Lutz (2003) in order to quantitatively analyze the structure of complexity classes. Interesting connections of effective dimension with information theory were also found, in fact the cases of polynomial-space and constructive dimension can be precisely characterized in terms of Kolmogorov complexity, while analogous results for polynomial-time dimension haven't been found. In this paper we remedy the situation by using the natural concept of reversible time-bounded compression for finite strings. We completely characterize polynomial-time dimension in terms of polynomial-time compressors.
机译:Lutz(2003)定义了有效的分形维数,以便定量分析复杂性类别的结构。还发现了有效维与信息论的有趣联系,实际上,多项式空间和构造维的情况可以用Kolmogorov复杂度来精确表征,而多项式-时间维的相似结果尚未发现。在本文中,我们通过对有限字符串使用可逆时限压缩的自然概念来纠正这种情况。我们完全按照多项式时间压缩器来表征多项式时间维度。

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