Dimension 1 sequences are close to randoms

September 15, 2017 ยท The Ethereal ยท ๐Ÿ› Theoretical Computer Science

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Authors Noam Greenberg, Joe Miller, Alexander Shen, Linda Brown Westrick arXiv ID 1709.05266 Category math.LO: Logic Cross-listed cs.IT Citations 9 Venue Theoretical Computer Science Last Checked 5 months ago
Abstract
We show that a sequence has effective Hausdorff dimension 1 if and only if it is coarsely similar to a Martin-Lรถf random sequence. More generally, a sequence has effective dimension $s$ if and only if it is coarsely similar to a weakly $s$-random sequence. Further, for any $s<t$, every sequence of effective dimension $s$ can be changed on density at most $H^{-1}(t)-H^{-1}(s)$ of its bits to produce a sequence of effective dimension $t$, and this bound is optimal.
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