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We investigate the connections between computability theory and Nonstandard Analysis. In particular, we investigate the two following topics and show that they are intimately related. (T.1) A basic property of Cantor space $2^{\mathbb{N}}$…

Logic · Mathematics 2020-02-19 Dag Normann , Sam Sanders

We consider the problem of inferring the probability distribution associated with a language, given data consisting of an infinite sequence of elements of the languge. We do this under two assumptions on the algorithms concerned: (i) like a…

Machine Learning · Computer Science 2014-07-16 Paul M. B. Vitanyi , Nick Chater

Quantifying quantum states' complexity is a key problem in various subfields of science, from quantum computing to black-hole physics. We prove a prominent conjecture by Brown and Susskind about how random quantum circuits' complexity…

We suggest necessary conditions of soficness of multidimensional shifts formulated in termsof resource-bounded Kolmogorov complexity. Using this technique we provide examples ofeffective and non-sofic shifts on $\mathbb{Z}^2$ with very low…

Discrete Mathematics · Computer Science 2022-05-24 Julien Destombes , Andrei Romashchenko

Spurious correlations are common in time-series analysis because simple, low-complexity patterns can produce high Pearson correlations even between unrelated series. We argue that Kolmogorov complexity, interpreted as resistance to…

Dynamical Systems · Mathematics 2026-04-02 Boumediene Hamzi , Marianne Clausel , Kamal Dingle , Marcus Hutter , Mohammed Terry-Jack

The Mandelbrot set is an extremely well-known mathematical object that can be described in a quite simple way but has very interesting and non-trivial properties. This paper surveys some results that are known concerning the…

Computational Complexity · Computer Science 2007-05-23 Petrus H. Potgieter

Our goal is to construct mathematical operations that combine indeterminism measured from quantum randomness with computational determinism so that non-mechanistic behavior is preserved in the computation. Formally, some results about…

Logic · Mathematics 2020-11-20 Michael Stephen Fiske

In the theory of algorithmic randomness, several notions of random sequence are defined via a game-theoretic approach, and the notions that received most attention are perhaps Martin-Loef randomness and computable randomness. The latter…

Computational Complexity · Computer Science 2009-07-15 Laurent Bienvenu , Rupert Hoelzl , Thorsten Kraling , Wolfgang Merkle

A set of integers $A$ is computably encodable if every infinite set of integers has an infinite subset computing $A$. By a result of Solovay, the computably encodable sets are exactly the hyperarithmetic ones. In this paper, we extend this…

Logic · Mathematics 2019-09-18 Benoit Monin , Ludovic Patey

There has been a great deal of work establishing that random linear codes are as list-decodable as uniformly random codes, in the sense that a random linear binary code of rate $1 - H(p) - \epsilon$ is $(p,O(1/\epsilon))$-list-decodable…

Information Theory · Computer Science 2020-11-26 Ray Li , Mary Wootters

We show that a family of random variables is uniformly integrable if and only if it is stochastically bounded in the increasing convex order by an integrable random variable. This result is complemented by proving analogous statements for…

Probability · Mathematics 2011-06-06 Lasse Leskelä , Matti Vihola

An positive even number is said to be a Kronecker number if it can be written in infinitely many ways as the difference between two primes, and it is believed that all even numbers are Kronecker numbers. We will study the division and…

Number Theory · Mathematics 2024-11-20 Sayan Goswami , Wen Huang , XiaoSheng Wu

We introduce a notion of Kolmogorov complexity of unitary transformation, which can (roughly) be understood as the least possible amount of information required to fully describe and reconstruct a given finite unitary transformation. In the…

Quantum Physics · Physics 2022-01-20 Alexei Kaltchenko

The classical coding theorem in Kolmogorov complexity states that if an $n$-bit string $x$ is sampled with probability $\delta$ by an algorithm with prefix-free domain then K$(x) \leq \log(1/\delta) + O(1)$. In a recent work, Lu and…

Computational Complexity · Computer Science 2022-04-19 Zhenjian Lu , Igor C. Oliveira , Marius Zimand

Limit theorems for non-additive probabilities or non-linear expectations are challenging issues which have raised progressive interest recently. The purpose of this paper is to study the strong law of large numbers and the law of the…

Probability · Mathematics 2016-08-03 Li-Xin Zhang

Kolmogorov complexity is a measure of the information contained in a binary string. We investigate here the notion of quantum Kolmogorov complexity, a measure of the information required to describe a quantum state. We show that for any…

Quantum Physics · Physics 2007-05-23 C. Mora , H. Briegel , B. Kraus

In this survey, we explore Andrei Nikolayevich Kolmogorov's seminal work in just one of his many facets: its influence Computer Science especially his viewpoint of what herein we call 'Algorithmic Theory of Informatics.' Can a computer file…

General Literature · Computer Science 2020-06-23 Sergei Levashkin , Victor Alexandrov , Adolfo Guzmán-Arenas

In analogy of classical Kolmogorov complexity we develop a theory of the algorithmic information in bits contained in any one of continuously many pure quantum states: quantum Kolmogorov complexity. Classical Kolmogorov complexity coincides…

Quantum Physics · Physics 2007-05-23 Paul Vitanyi

The multiplicative theory of a set of numbers (which could be natural, integer, rational, real or complex numbers) is the first-order theory of the structure of that set with (solely) the multiplication operation (that set is taken to be…

Logic · Mathematics 2021-11-30 Saeed Salehi

Computational pseudorandomness studies the extent to which a random variable $\bf{Z}$ looks like the uniform distribution according to a class of tests $\cal{F}$. Computational entropy generalizes computational pseudorandomness by studying…

Computational Complexity · Computer Science 2020-11-13 Russell Impagliazzo , Sam McGuire
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