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arxiv: 1709.05266 · v1 · pith:M65UJVXLnew · submitted 2017-09-15 · 🧮 math.LO · cs.IT· math.IT

Dimension 1 sequences are close to randoms

classification 🧮 math.LO cs.ITmath.IT
keywords sequencedimensioneffectivecoarselyonlyrandomsimilarbits
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We show that a sequence has effective Hausdorff dimension 1 if and only if it is coarsely similar to a Martin-L\"{o}f 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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