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Compressibility of Deterministic and Random Infinite Sequences

机译:确定性和随机无限序列的可压缩性

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摘要

We introduce a definition of the notion of compressibility for infinite deterministic and i.i.d. random sequences which is based on the asymptotic behavior of truncated subsequences. For this purpose, we use asymptotic results regarding the distribution of order statistics for heavy-tail distributions and their link with $alpha$ -stable laws for $1 . In many cases, our proposed definition of compressibility coincides with intuition. In particular, we prove that heavy-tail (polynomial decaying) distributions fulfill the requirements of compressibility. On the other hand, exponential decaying distributions like Laplace and Gaussian do not. The results are such that two compressible distributions can be compared with each other in terms of their degree of compressibility.
机译:我们为无限确定性和i.i.d引入了可压缩性概念的定义。基于截断子序列的渐近行为的随机序列。为此,我们使用关于重尾分布的阶次统计分布及其与 $ alpha $ 的链接的渐近结果 $ 1 的稳定定律。在许多情况下,我们提出的可压缩性定义与直觉相吻合。特别是,我们证明了重尾(多项式衰减)分布满足可压缩性的要求。另一方面,像拉普拉斯和高斯这样的指数衰减分布却没有。结果是,两个可压缩分布可以在可压缩程度方面进行比较。

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