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We show that there are infinitely many binary strings z, such that the sum of the on-line decision complexity of predicting the even bits of z given the previous uneven bits, and the decision complexity of predicting the uneven bits given…

Information Theory · Computer Science 2009-09-01 Bruno Bauwens

We show that the number of length-n words over a k-letter alphabet having no even palindromic prefix is the same as the number of length-n unbordered words, by constructing an explicit bijection between the two sets. A slightly different…

Discrete Mathematics · Computer Science 2020-06-05 Daniel Gabric , Jeffrey Shallit

A 1976 theorem of Chaitin can be used to show that arbitrarily dense sets of lengths n have a paucity of trivial strings (only a bounded number of strings of length n having trivially low plain Kolmogorov complexities). We use the…

Computational Complexity · Computer Science 2014-05-08 Jack H. Lutz

It is discussed and surveyed a numerical method proposed before, that alternative to the usual compression method, provides an approximation to the algorithmic (Kolmogorov) complexity, particularly useful for short strings for which…

Computational Complexity · Computer Science 2011-09-01 Hector Zenil , Jean-Paul Delahaye

The minimal Kolmogorov complexity of a total computable function that exceeds everywhere all total computable functions of complexity at most $n$, is $2^{n+O(1)}$. If we replace "everywhere" by "for all sufficiently large inputs", the…

Logic · Mathematics 2020-12-29 Alexander Shen

Kolmogorov-Chaitin complexity has long been believed to be impossible to approximate when it comes to short sequences (e.g. of length 5-50). However, with the newly developed \emph{coding theorem method} the complexity of strings of length…

Computational Complexity · Computer Science 2015-02-23 Nicolas Gauvrit , Henrik Singmann , Fernando Soler-Toscano , Hector Zenil

In this paper, we revisit a central concept in Kolmogorov complexity in which one would equate program-size complexity with information content. Despite the fact that Kolmogorov complexity has been widely accepted as an objective measure of…

Information Theory · Computer Science 2017-10-19 Fouad B. Chedid

We reconsider some classical natural semantics of integers (namely iterators of functions, cardinals of sets, index of equivalence relations), in the perspective of Kolmogorov complexity. To each such semantics one can attach a simple…

Logic · Mathematics 2008-01-03 Marie Ferbus-Zanda , Serge Grigorieff

We present a new approach to formal language theory using Kolmogorov complexity. The main results presented here are an alternative for pumping lemma(s), a new characterization for regular languages, and a new method to separate…

Computational Complexity · Computer Science 2007-05-23 Ming Li , Paul Vitanyi

Kolmogorov complexity is often used as a convenient language for counting and/or probabilistic existence proofs. However, there are some applications where Kolmogorov complexity is used in a more subtle way. We provide one (somehow)…

Discrete Mathematics · Computer Science 2024-05-16 Alexander Shen

The combined universal probability M(D) of strings x in sets D is close to max_{x \in D} M({x}): their ~ logs differ by at most D's information j = I(D:H) about the halting sequence H. Thus if all x have complexity K(x) > k, D carries > i…

Computational Complexity · Computer Science 2018-12-03 Leonid A. Levin

There is a parallelism between Shannon information theory and algorithmic information theory. In particular, the same linear inequalities are true for Shannon entropies of tuples of random variables and Kolmogorov complexities of tuples of…

Information Theory · Computer Science 2022-09-12 Bruno Bauwens , Peter Gács , Andrei Romashchenko , Alexander Shen

In this paper we give a definition for quantum Kolmogorov complexity. In the classical setting, the Kolmogorov complexity of a string is the length of the shortest program that can produce this string as its output. It is a measure of the…

Quantum Physics · Physics 2007-05-23 Andre Berthiaume , Wim van Dam , Sophie Laplante

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

Diverse applications of Kolmogorov complexity to learning [CIKK16], circuit complexity [OPS19], cryptography [LP20], average-case complexity [Hir21], and proof search [Kra22] have been discovered in recent years. Since the running time of…

Computational Complexity · Computer Science 2022-05-31 Zhenjian Lu , Igor C. Oliveira

Randomness extraction is the process of constructing a source of randomness of high quality from one or several sources of randomness of lower quality. The problem can be modeled using probability distributions and min-entropy to measure…

Computational Complexity · Computer Science 2012-06-19 Marius Zimand

A language $L$ over an alphabet $\Sigma$ is prefix-convex if, for any words $x,y,z\in\Sigma^*$, whenever $x$ and $xyz$ are in $L$, then so is $xy$. Prefix-convex languages include right-ideal, prefix-closed, and prefix-free languages. We…

Formal Languages and Automata Theory · Computer Science 2016-06-27 Janusz Brzozowski , Corwin Sinnamon

Chaitin's incompleteness theorem states that sufficiently rich formal systems cannot prove lower bounds on Kolmogorov complexity. In this paper we extend this theorem by showing theories that prove the Kolmogorov complexity of a large (but…

Computational Complexity · Computer Science 2023-06-06 Samuel Epstein

We initiate the theory of communication complexity of individual inputs held by the agents, rather than worst-case or average-case. We consider total, partial, and partially correct protocols, one-way versus two-way, with and without help…

Computational Complexity · Computer Science 2007-05-23 Harry Buhrman , Hartmut Klauck , Nikolai Vereshchagin , 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