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Related papers: Random Expansive Measures

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In this article we introduce and study a natural form of expansivity, that we call \textit{metric-independent expansiveness}, for group actions on metrizable spaces. This notion means \textit{expansive with respect to every compatible…

Dynamical Systems · Mathematics 2026-03-24 Alfonso Artigue , Luis Ferrari

We introduce amorphic complexity as a new topological invariant that measures the complexity of dynamical systems in the regime of zero entropy. Its main purpose is to detect the very onset of disorder in the asymptotic behaviour. For…

Dynamical Systems · Mathematics 2016-02-17 G. Fuhrmann , M. Gröger , T. Jäger

This paper develops an intuitive concept of perfect dependence between two variables of which at least one has a nominal scale. Perfect dependence is attainable for all marginal distributions. It furthermore proposes a set of dependence…

Methodology · Statistics 2026-02-05 Jan-Lukas Wermuth

In this paper, we define and study generalizations of expansiveness, namely n- expansiveness, $\aleph_0$-expansiveness, continuum-wise expansive and meagre expansiveness for non-autonomous discrete dynamical systems. We discuss various…

Dynamical Systems · Mathematics 2019-05-27 Radhika Vasisht , Ruchi Das

The paper considers quantitative versions of different randomness notions: algorithmic test measures the amount of non-randomness (and is infinite for non-random sequences). We start with computable measures on Cantor space (and Martin-Lof…

Logic · Mathematics 2011-05-27 Laurent Bienvenu , Peter Gacs , Mathieu Hoyrup , Cristobal Rojas , Alexander Shen

Generalized noncontextuality is a well-studied notion of classicality that is applicable to a single system, as opposed to Bell locality. It relies on representing operationally indistinguishable procedures identically in an ontological…

Quantum Physics · Physics 2025-01-13 Victor Gitton , Mischa P. Woods

We study existence of random elements with partially specified distributions. The technique relies on the existence of a positive extension for linear functionals accompanied by additional conditions that ensure the regularity of the…

Probability · Mathematics 2015-01-20 Raphael Lachieze-Rey , Ilya Molchanov

For dynamical systems satisfying the approximate $\mathbb{Z}^{d}$ or $\mathbb{Z}_+^{d}$-product property and asymptotically entropy expansiveness, we establish a precise description of the structure of their space of invariant measures. In…

Dynamical Systems · Mathematics 2026-05-21 Yage Liu , Ercai Chen , Xiaoyao Zhou

This paper suggests five measures of association between two random vectors X = (X_1, ..., X_p) and Y = (Y_1, ..., Y_q). They are copula based and therefore invariant with respect to the marginal distributions of the components X_i and Y_j.…

Methodology · Statistics 2011-07-25 Oliver Grothe , Friedrich Schmid , Julius Schnieders , Johan Segers

We propose a new way to measure the balance between freedom and coherence in a dynamical system and a new measure of its internal variability. Based on the concept of entropy and ideas from neuroscience and information theory, we define…

Dynamical Systems · Mathematics 2016-11-21 Karl Petersen , Benjamin Wilson

In this paper we define contractive and nonexpansive properties for adapted stochastic processes $X_1, X_2, \ldots $ which can be used to deduce limiting properties. In general, nonexpansive processes possess finite limits while contractive…

Probability · Mathematics 2022-07-05 Anthony Almudevar

The formalism of statistical mechanics can be generalized by starting from more general measures of information than the Shannon entropy and maximizing those subject to suitable constraints. We discuss some of the most important examples of…

Statistical Mechanics · Physics 2015-05-13 Christian Beck

In this paper, we prove that for real analytic expanding circle maps, all optimizing measures of a real analytic potential function have zero entropy, unless the potential is cohomologous to constant. We use the group structure of the…

Dynamical Systems · Mathematics 2022-08-01 Rui Gao , Weixiao Shen

In the paper we throw the first light on studying systematically the local entropy theory for a countable discrete amenable group action. For such an action, we introduce entropy tuples in both topological and measure-theoretic settings and…

Dynamical Systems · Mathematics 2011-07-06 Wen Huang , Xiangdong Ye , Guohua Zhang

We introduce an axiomatic approach to entropies and relative entropies that relies only on minimal information-theoretic axioms, namely monotonicity under mixing and data-processing as well as additivity for product distributions. We find…

Information Theory · Computer Science 2021-09-22 Gilad Gour , Marco Tomamichel

Both classical and respectively quantum observables can be modeled as somewhat similar examples of random variables. In such a model the associated measurements preserve the values spectrum of an observable but change the corresponding…

Statistical Mechanics · Physics 2008-03-20 S. Dumitru , A. Boer

A formulation towards quantifying resource count used in a measurement, that is independent of the model of the measurement dynamics(Quantum/Classical), is considered. For any general measurement with $(M+1)$ discrete outcomes, it is found…

Quantum Physics · Physics 2014-06-16 H. M. Bharath , Saikat Ghosh

We consider endomorphisms of a compact manifold which are expanding except for a finite number of points and prove the existence and uniqueness of a physical measure and its stochastical stability. We also characterize the zero-noise limit…

Dynamical Systems · Mathematics 2009-11-10 Vitor Araujo , Ali Tahzibi

The concept of entropy in statistical physics is related to the existence of irreversible macroscopic processes. In this work, we explore a recently introduced entropy formula for a class of stochastic processes with more than one absorbing…

Populations and Evolution · Quantitative Biology 2022-10-21 Diogo Costa-Cabanas , Fabio A. C. C. Chalub , Max O. Souza

Failures are challenging for learning to control physical systems since they risk damage, time-consuming resets, and often provide little gradient information. Adding safety constraints to exploration typically requires a lot of prior…

Machine Learning · Computer Science 2019-10-08 Steve Heim , Alexander von Rohr , Sebastian Trimpe , Alexander Badri-Spröwitz
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