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Effective dimensions and relative frequencies

机译:有效尺寸和相对频率

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Consider the problem of calculating the fractal dimension of a setX consisting of all infinite sequences S over a finite alphabet Σ that satisfy some given condition P on the asymptotic frequencies with which various symbols from Σ appear in S. Solutions to this problem are known in cases where (i) the fractal dimension is classical Hausdorff or packing dimension (by work of Volkmann and Olsen), or (ii) the fractal dimension is effective (even finite-state) and the condition P completely specifies an empirical distribution π over Σ, i.e., a limiting frequency of occurrence for every symbol in Σ. In this paper, we show how to calculate the finite-state dimension (equivalently, the finite-state compressibility) of such a set X when the condition P only imposes partial constraints on the limiting frequencies of symbols. Our results automatically extend to less restrictive effective fractal dimensions (e.g., polynomial-time, computable, and constructive dimensions), and they have the classical results (i) as immediate corollaries. Our methods are nevertheless elementary and, in most cases, simpler than those by which the classical results were obtained.
机译:考虑一个计算由有限字母表Σ上的所有无限序列S组成的setX的分形维数的问题,该有限字母满足满足给定条件P的渐进频率,其中Σ中的各个符号都出现在S上。在某些情况下,此问题的解决方案是已知的(i)分形维数是经典的Hausdorff或堆积维数(通过Volkmann和Olsen的工作),或(ii)分形维数是有效的(甚至是有限状态),并且条件P完全指定了∑上的经验分布π,即,Σ中每个符号的极限出现频率。在本文中,我们展示了当条件P仅对符号的极限频率施加部分约束时,如何计算此类集合X的有限状态维(等效为有限状态可压缩性)。我们的结果自动扩展到限制性较小的有效分形维数(例如多项式时间,可计算维和构造维),并且它们具有经典结果(i)作为直接推论。然而,我们的方法是基本的,并且在大多数情况下,比获得经典结果的方法更简单。

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