80,653 research outputs found

    Limit complexities revisited [once more]

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    The main goal of this article is to put some known results in a common perspective and to simplify their proofs. We start with a simple proof of a result of Vereshchagin saying that lim supnC(xn)\limsup_n C(x|n) equals C0(x)C^{0'}(x). Then we use the same argument to prove similar results for prefix complexity, a priori probability on binary tree, to prove Conidis' theorem about limits of effectively open sets, and also to improve the results of Muchnik about limit frequencies. As a by-product, we get a criterion of 2-randomness proved by Miller: a sequence XX is 2-random if and only if there exists cc such that any prefix xx of XX is a prefix of some string yy such that C(y)ycC(y)\ge |y|-c. (In the 1960ies this property was suggested in Kolmogorov as one of possible randomness definitions.) We also get another 2-randomness criterion by Miller and Nies: XX is 2-random if and only if C(x)xcC(x)\ge |x|-c for some cc and infinitely many prefixes xx of XX. This is a modified version of our old paper that contained a weaker (and cumbersome) version of Conidis' result, and the proof used low basis theorem (in quite a strange way). The full version was formulated there as a conjecture. This conjecture was later proved by Conidis. Bruno Bauwens (personal communication) noted that the proof can be obtained also by a simple modification of our original argument, and we reproduce Bauwens' argument with his permission.Comment: See http://arxiv.org/abs/0802.2833 for the old pape

    Limit complexities revisited

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    The 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 xx when nn 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 0\mathbf{0'} Martin-L\"of randomness (called also 2-randomness) proved in (Miller, 2004): a sequence ω\omega is 2-random if and only if there exists cc such that any prefix xx of ω\omega is a prefix of some string yy 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\omega is 2-random if and only if \KS(x)\ge |x|-c for some cc and infinitely many prefixes xx of ω\omega. 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

    Multi-dimensional Boltzmann Sampling of Languages

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    This paper addresses the uniform random generation of words from a context-free language (over an alphabet of size kk), while constraining every letter to a targeted frequency of occurrence. Our approach consists in a multidimensional extension of Boltzmann samplers \cite{Duchon2004}. We show that, under mostly \emph{strong-connectivity} hypotheses, our samplers return a word of size in [(1ε)n,(1+ε)n][(1-\varepsilon)n, (1+\varepsilon)n] and exact frequency in O(n1+k/2)\mathcal{O}(n^{1+k/2}) expected time. Moreover, if we accept tolerance intervals of width in Ω(n)\Omega(\sqrt{n}) for the number of occurrences of each letters, our samplers perform an approximate-size generation of words in expected O(n)\mathcal{O}(n) time. We illustrate these techniques on the generation of Tetris tessellations with uniform statistics in the different types of tetraminoes.Comment: 12p

    Local connection forms revisited

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    Local connection forms provide a very useful tool for handling connections on principal bundles, because they ignore any complexities of the total space and, essentially, involve only two fundamental features of the structure group, namely the adjoint representation and the left (logarithmic) differential. The main results of this note characterize connections related together by bundle morphisms, while applications (taken from various sources) refer to connections on (Banach) associated bundles, in particular vector bundles, and connections on inverse limit bundles (in the Fr\'echet framework). The role of local connection forms is further illustrated by their sheaf-theoretic globalization, resulting in a sheaf operator-like approach to principal connections. The latter point of view is naturally leading to a theory of connections on abstract principal sheaves.Comment: AMS-LaTex, 19 pages. Corrected typos. Few stylistic change

    On the convergence of the Fitness-Complexity Algorithm

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    We investigate the convergence properties of an algorithm which has been recently proposed to measure the competitiveness of countries and the quality of their exported products. These quantities are called respectively Fitness F and Complexity Q. The algorithm was originally based on the adjacency matrix M of the bipartite network connecting countries with the products they export, but can be applied to any bipartite network. The structure of the adjacency matrix turns to be essential to determine which countries and products converge to non zero values of F and Q. Also the speed of convergence to zero depends on the matrix structure. A major role is played by the shape of the ordered matrix and, in particular, only those matrices whose diagonal does not cross the empty part are guaranteed to have non zero values as outputs when the algorithm reaches the fixed point. We prove this result analytically for simplified structures of the matrix, and numerically for real cases. Finally, we propose some practical indications to take into account our results when the algorithm is applied.Comment: 13 pages, 8 figure

    Discussion of ``2004 IMS Medallion Lecture: Local Rademacher complexities and oracle inequalities in risk minimization'' by V. Koltchinskii

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    Discussion of ``2004 IMS Medallion Lecture: Local Rademacher complexities and oracle inequalities in risk minimization'' by V. Koltchinskii [arXiv:0708.0083]Comment: Published at http://dx.doi.org/10.1214/009053606000001037 in the Annals of Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical Statistics (http://www.imstat.org
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