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A characterization of constructive dimension

✍ Scribed by Satyadev Nandakumar


Publisher
John Wiley and Sons
Year
2009
Tongue
English
Weight
173 KB
Volume
55
Category
Article
ISSN
0044-3050

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✦ Synopsis


Abstract

In the context of Kolmogorov's algorithmic approach to the foundations of probability, Martin‐LΓΆf defined the concept of an individual random sequence using the concept of a constructive measure 1 set. Alternate characterizations use constructive martingales and measures of impossibility. We prove a direct conversion of a constructive martingale into a measure of impossibility and vice versa such that their success sets, for a suitably defined class of computable probability measures, are equal. The direct conversion is then generalized to give a new characterization of constructive dimensions, in particular, the constructive Hausdorff dimension, the constructive packing dimension, and their generalizations, the constructive scaled dimension and the constructive scaled strong dimension (Β© 2009 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)


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