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We comment on a recent paper by D'Abramo [Chaos, Solitons & Fractals, 25 (2005) 29], focusing on the author's statement that an algorithm can produce a list of strings containing at least one string whose algorithmic complexity is greater…

Computational Complexity · Computer Science 2011-11-09 David Poulin , Hugo Touchette

As discoveries of multiple planets in the habitable zone of their parent star mount, developing analytical techniques to quantify extrasolar intra-system panspermia will become increasingly important. Here, we provide user-friendly…

Earth and Planetary Astrophysics · Physics 2018-11-13 Dimitri Veras , David J. Armstrong , James A. Blake , Jose F. Gutierrez-Marcos , Alan P. Jackson , Hendrik Schaefer

This paper develops an information-theoretic framework for algorithmic complexity under regular identifiable fibering. The central question is: when a decoder is given information about the fiber label in a fibered geometric set, how much…

Information Theory · Computer Science 2026-03-27 Nicholas G. Polson , Daniel Zantedeschi

We review Fermi's paradox (or the "Great Silence" problem), not only arguably the oldest and crucial problem for the Search for ExtraTerrestrial Intelligence (SETI), but also a conundrum of profound scientific, philosophical and cultural…

Earth and Planetary Astrophysics · Physics 2009-07-21 Milan M. Cirkovic

Instead of static entropy we assert that the Kolmogorov complexity of a static structure such as a solid is the proper measure of disorder (or chaoticity). A static structure in a surrounding perfectly-random universe acts as an interfering…

Computational Complexity · Computer Science 2015-05-13 Joel Ratsaby

We use the incompressibility method based on Kolmogorov complexity to determine the total number of bits of routing information for almost all network topologies. In most models for routing, for almost all labeled graphs $\Theta (n^2)$ bits…

Distributed, Parallel, and Cluster Computing · Computer Science 2007-05-23 Harry Buhrman , Jaap-Henk Hoepman , Paul Vitanyi

We give simplify the proofs of the 2 results in Marius Zimand's paper "Kolmogorov complexity version of Slepian-Wolf coding, proceedings of STOC 2017, p22--32". The first is a universal polynomial time compression algorithm: on input…

Information Theory · Computer Science 2018-02-05 Bruno Bauwens

We formulate the conditional Kolmogorov complexity of x given y at precision r, where x and y are points in Euclidean spaces and r is a natural number. We demonstrate the utility of this notion in two ways. 1. We prove a point-to-set…

Computational Complexity · Computer Science 2016-12-02 Jack H. Lutz , Neil Lutz

Several classes of DNR functions are characterized in terms of Kolmogorov complexity. In particular, a set of natural numbers A can wtt-compute a DNR function iff there is a nontrivial recursive lower bound on the Kolmogorov complexity of…

Logic · Mathematics 2014-08-12 Bjørn Kjos-Hanssen , Wolfgang Merkle , Frank Stephan

It is shown that from two strings that are partially random and independent (in the sense of Kolmogorov complexity) it is possible to effectively construct polynomially many strings that are random and pairwise independent. If the two…

Information Theory · Computer Science 2009-03-24 Marius Zimand

Normalized information distance (NID) uses the theoretical notion of Kolmogorov complexity, which for practical purposes is approximated by the length of the compressed version of the file involved, using a real-world compression program.…

Computational Complexity · Computer Science 2010-06-17 Sebastiaan A. Terwijn , Leen Torenvliet , Paul M. B. Vitanyi

We extend algorithmic information theory to quantum mechanics, taking a universal semicomputable density matrix (``universal probability'') as a starting point, and define complexity (an operator) as its negative logarithm. A number of…

Quantum Physics · Physics 2009-11-06 Peter Gacs

We show that Kolmogorov complexity and such its estimators as universal codes (or data compression methods) can be applied for hypotheses testing in a framework of classical mathematical statistics. The methods for identity testing and…

Computational Complexity · Computer Science 2007-05-23 Boris Ryabko , Jaakko Astola , Alex Gammerman

The nascent field of compressed sensing is founded on the fact that high-dimensional signals with "simple structure" can be recovered accurately from just a small number of randomized samples. Several specific kinds of structures have been…

Information Theory · Computer Science 2013-07-08 Shirin Jalali , Arian Maleki , Richard Baraniuk

The so-called Fermi paradox claims that if technological life existed anywhere else, we would see evidence of its visits to Earth-and since we do not, such life does not exist, or some special explanation is needed. Enrico Fermi, however,…

Popular Physics · Physics 2016-05-31 Robert H. Gray

While Kolmogorov complexity is the accepted absolute measure of information content in an individual finite object, a similarly absolute notion is needed for the information distance between two individual objects, for example, two…

Information Theory · Computer Science 2010-06-18 Charles H. Bennett , Peter Gacs , Ming Li , Paul M. B. Vitanyi , Wojciech H. Zurek

A constructive version of Hausdorff dimension is developed using constructive supergales, which are betting strategies that generalize the constructive supermartingales used in the theory of individual random sequences. This constructive…

Computational Complexity · Computer Science 2007-05-23 Jack H. Lutz

Entanglement entropy is a fundamental measure of quantum correlations and a key resource underpinning advances in quantum information and many-body physics. We uncover a universal relationship between bipartite entanglement entropy and…

Antistochastic strings are those strings that lack any reasonable statistical explanations. We establish the follow property of such strings: every absolutely non-stochastic string $x$ is "holographic" in the sense that it can be restored…

Information Theory · Computer Science 2016-03-11 Alexey Milovanov

Given two events $A$ and $B$, Bayes' law is based on the argument that the probability of $A$ given $B$ is proportional to the probability of $B$ given $A$. When probabilities are interpreted in the Bayesian sense, Bayes' law constitutes a…

Information Theory · Computer Science 2019-07-08 Fouad B. Chedid