(Enter summary)
Abstract: For every binary sequence A, there is an infinite binary sequence S
such that A
P
tt S and S is stochastic in the sense of Kolmogorov and
Loveland.
1 Introduction
In the mid-1960's, Martin-Lof [23] used the general theory of algorithms
to formulate the first successful definition of the randomness of individual
binary sequences. Subsequent definitions, using a variety of conceptual approaches,
were introduced by Levin [17], Schnorr [24, 25], Chaitin [6, 7, 8],
Solovay [28], and Shen
0... (Update)
Context of citations to this paper: More
...properly contained in the class of Kolmogorov Loveland stochastic sequences. The technique has also been employed by Lutz and Schweizer [8] in order to show that every sequence can be reduced to a Kolmogorov Loveland stochastic set via a truth table reduction computable in...
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BibTeX entry: (Update)
J. H. Lutz and D. L. Schweizer. Feasible reductions to Kolmogorov-Loveland stochastic sequences. Theoretical Computer Science, 225:185-194, 1999. http://citeseer.ist.psu.edu/lutz99feasible.html More
@article{ lutz99feasible,
author = "Jack H. Lutz and David L. Schweizer",
title = "Feasible reductions to {Kolmogorov--Loveland} stochastic sequences",
journal = "Theoretical Computer Science",
volume = "225",
number = "1--2",
pages = "185--194",
year = "1999",
url = "citeseer.ist.psu.edu/lutz99feasible.html" }
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