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Information and Computation
Article . 1993
License: Elsevier Non-Commercial
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Information and Computation
Article . 1993 . Peer-reviewed
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https://doi.org/10.1007/3-540-...
Part of book or chapter of book . 1989 . Peer-reviewed
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Kolmogorov complexity and Hausdorff dimension

Authors: Ludwig Staiger;

Kolmogorov complexity and Hausdorff dimension

Abstract

This interesting note develops several formal relationships between program-size complexity of infinite strings and various measures of information content. The idea is to bound the complexity of a maximally complex string in a prescribed set of strings by the Hausdorff dimension as well as the entropy of that set. Then the Hausdorff dimension gives lower bounds to the Kolmogorov complexity, and under various recursivity conditions the entropy gives upper bounds. This approach can be used to generalize important theorems of P. Martin-Löf on Kolmogorov complexity. The author proves several theorems, gives numerous examples showing limitations of his results, and includes an extensive bibliography of 63 items.

Related Organizations
Keywords

Kolmogorov complexity, bibliography, Hausdorff dimension, Algorithmic information theory (Kolmogorov complexity, etc.), Theoretical Computer Science, Computer Science Applications, Hausdorff and packing measures, Computational Theory and Mathematics, random sequence, set entropy, Information Systems

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    84
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
84
Top 10%
Top 1%
Average
hybrid