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Related papers: Exploring F-Sensitivity for Non-Autonomous Systems

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Standard dynamical systems theory is centred around the coordinate-invariant asymptotic-time properties of autonomous systems. We identify three limitations of this approach. Firstly, we discuss how the traditional approach cannot take into…

Adaptation and Self-Organizing Systems · Physics 2018-10-10 Julian Newman , Maxime Lucas , Aneta Stefanovska

In this work we shall investigate the occurrence of future cosmological finite-time singularities in the dynamical system corresponding to two cosmological theories, namely that of vacuum $f(R)$ gravity and that of three fluids. The vacuum…

General Relativity and Quantum Cosmology · Physics 2018-08-01 S. D. Odintsov , V. K. Oikonomou

This paper explores the concept of topological transitivity in nonautonomous dynamical systems, which are defined as sequences of continuous maps from a compact metric space to itself. It investigates various conditions (including…

Dynamical Systems · Mathematics 2025-01-22 Michal Málek

In recent years, non-linear optical phenomena have attracted much attention, with a particular focus on the engineering and exploitation of non-linear responses. Comparatively little study has however been devoted to the driving fields that…

Optics · Physics 2021-10-13 Gerard McCaul , Alexander F. King , Denys I. Bondar

A finite dynamical system with $n$ components is a function $f:X\to X$ where $X=X_1\times\dots\times X_n$ is a product of $n$ finite intervals of integers. The structure of such a system $f$ is represented by a signed digraph $G$, called…

Combinatorics · Mathematics 2022-01-24 Adrien Richard

In this paper, we study an affine connection approach to realizing nonholonomic mechanical systems mediated by viscous friction forces with large coefficients, viewed as a singular perturbation of the nonholonomic system. We show that the…

Mathematical Physics · Physics 2024-08-02 Vaughn Gzenda , Robin Chhabra

In this paper we study topological entropy and recurrence properties of non-autonomous dynamical system generated by a family of continuous self maps on a compact space X. Specially, we introduce the pseudo-entropy and…

Dynamical Systems · Mathematics 2016-12-20 Mehdi Fatehi Nia

We study discrete dynamical systems through the topological concepts of limit set, which consists of all points that can be reached arbitrarily late, and asymptotic set, which consists of all adhering values of orbits. In particular, we…

Dynamical Systems · Mathematics 2011-10-20 Guillon Pierre , Richard Gaétan

We consider transformations of deterministic and random signals governed by simple dynamical mappings. It is shown that the resulting signal can be a random process described in terms of fractal distributions and fractal domain integrals.…

Mathematical Physics · Physics 2007-11-22 Vladimir Zverev , Boris Rubinstein

In this paper, we introduce an ${\mathscr F}$-equi\-con\-ti\-nui\-ty and show an analogue of Auslander-Yorke dichotomy theorem for ${\mathscr F}$-sensitivity. Precisely, under the condition that $k{\mathscr F}$ is translation invariant, we…

Dynamical Systems · Mathematics 2019-10-03 Hyonhui Ju , Jinhyon Kim , Songhun Ri , Peter Raith

This brief aims at the issue of globally composite-learning-based neural fast finite-time (F-FnT) tracking control for a class of uncertain systems in strict-feedback form subject to nonlinearly periodic disturbances. First, uncertain…

Systems and Control · Electrical Eng. & Systems 2023-09-22 Xidong Wang , Zhan Li , Zhen He

In this paper, we introduce and study the notions of $\Delta$-mixing, $\Delta$-transitivity, mildly mixing, strong multi-transitivity and multi-transitivity with respect to a vector in non-autonomous discrete dynamical systems (NDS).…

Dynamical Systems · Mathematics 2025-09-09 Hongbo Zeng

Dynamical systems at the edge of chaos, which have been considered as models of self-organization phenomena, are marked by their ability to perform nontrivial computations. To distinguish them from systems with limited computing power, we…

chao-dyn · Physics 2008-02-03 Petr Kurka

Long-range dependence and non-Gaussianity are ubiquitous in many natural systems like ecosystems, biological systems and climate. However, it is not always appreciated that both phenomena may occur together in natural systems and that…

Data Analysis, Statistics and Probability · Physics 2015-03-18 Christian L. E. Franzke , Timothy Graves , Nicholas W. Watkins , Robert B. Gramacy , Cecilia Hughes

Let's consider a control system described by the implicit equation $F(x,\dot x) = 0$. If this system is differentially flat, then the following criterion is satisfied : For some integer $r$, there exists a function $\varphi(y_0, y_1,…

Optimization and Control · Mathematics 2017-11-15 Bruno Sauvalle

We define weaker forms of topological and measure theoretical equicontinuity for topological dynamical systems and we study their relationships with systems with discrete spectrum and zero sequence entropy. In the topological category we…

Dynamical Systems · Mathematics 2019-11-05 Felipe García-Ramos

It is well known that, for chaotic systems, the production of relevant entropy (Boltzmann-Gibbs) is always linear and the system has strong (exponential) sensitivity to initial conditions. In recent years, various numerical results indicate…

Statistical Mechanics · Physics 2009-11-11 Ahmet Celikoglu , Ugur Tirnakli

We define the concept of stronger forms of positively expansive map and name it as $p \:\mathscr{F}-$expansive maps. Here $\mathscr{F}$ is a family of subsets of $\mathbb{N}$. Examples of positively thick expansive and positively syndetic…

Dynamical Systems · Mathematics 2024-07-11 Shital H. Joshi , Ekta Shah

Two kinds of maps that describe evolution of states of a subsystem coming from dynamics described by a unitary operator for a larger system, maps defined for fixed mean values and maps defined for fixed correlations, are found to be quite…

Quantum Physics · Physics 2008-07-08 Thomas F. Jordan

The accuracy of probability distributions inferred using machine-learning algorithms heavily depends on data availability and quality. In practical applications it is therefore fundamental to investigate the robustness of a statistical…

Machine Learning · Statistics 2018-10-01 Christiane Goergen , Manuele Leonelli
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