The dimension of ergodic random sequences

被引:9
|
作者
Hoyrup, Mathieu [1 ]
机构
[1] INRIA Nancy Grand Est, LORIA, Bat b,615 Rue Jardin Bot,BP 239, F-54506 Vandoeuvre Les Nancy, France
关键词
Shannon-McMillan-Breiman theorem; Martin-Lof random sequence; effective Hausdorff dimension; compression rate; entropy; DATA-COMPRESSION; COMPLEXITY; INFORMATION; ENTROPY;
D O I
10.4230/LIPIcs.STACS.2012.567
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Let mu be a computable ergodic shift-invariant measure over {0, 1}(N). Providing a constructive proof of Shannon-McMillan-Breiman theorem, V'yugin proved that if x is an element of{0, 1}(N) is Martin-Lof random w.r.t. mu then the strong effective dimension Dim(x) of x equals the entropy of mu. Whether its effective dimension dim(x) also equals the entropy was left as an open problem. In this paper we settle this problem, providing a positive answer. A key step in the proof consists in extending recent results on Birkhoff's ergodic theorem for Martin-Lof random sequences. At the same time, we present extensions of some previous results. As pointed out by a referee the main result can also be derived from results by Hochman [8], using rather different considerations.
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页码:567 / 576
页数:10
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