Limit complexities revisited

dc.creatorBienvenu, Laurent
dc.creatorMuchnik, Andrej
dc.creatorShen, Alexander
dc.creatorVereshchagin, Nikolay
dc.date2008-02-20
dc.date.accessioned2026-07-07T09:22:00Z
dc.date.available2026-07-07T09:22:00Z
dc.descriptionThe main goal of this paper is to put some known results in a common perspective and to simplify their proofs. We start with a simple proof of a result from (Vereshchagin, 2002) saying that $\limsup_n\KS(x|n)$ (here $\KS(x|n)$ is conditional (plain) Kolmogorov complexity of $x$ when $n$ is known) equals $\KS^{\mathbf{0'}(x)$, the plain Kolmogorov complexity with $\mathbf{0'$-oracle. Then we use the same argument to prove similar results for prefix complexity (and also improve results of (Muchnik, 1987) about limit frequencies), a priori probability on binary tree and measure of effectively open sets. As a by-product, we get a criterion of $\mathbf{0'}$ Martin-Löf randomness (called also 2-randomness) proved in (Miller, 2004): a sequence $ω$ is 2-random if and only if there exists $c$ such that any prefix $x$ of $ω$ is a prefix of some string $y$ such that $\KS(y)\ge |y|-c$. (In the 1960ies this property was suggested in (Kolmogorov, 1968) as one of possible randomness definitions; its equivalence to 2-randomness was shown in (Miller, 2004) while proving another 2-randomness criterion (see also (Nies et al. 2005)): $ω$ is 2-random if and only if $\KS(x)\ge |x|-c$ for some $c$ and infinitely many prefixes $x$ of $ω$. Finally, we show that the low-basis theorem can be used to get alternative proofs for these results and to improve the result about effectively open sets; this stronger version implies the 2-randomness criterion mentioned in the previous sentence.
dc.identifierhttps://arxiv.org/abs/0802.2833
dc.identifierhttp://arxiv.org/abs/0802.2833
dc.identifierDans Proceedings of the 25th Annual Symposium on the Theoretical Aspects of Computer Science - STACS 2008, Bordeaux : France (2008)
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/155225
dc.subjectComputational Complexity
dc.titleLimit complexities revisited
dc.typetext

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