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The method of Lyapunov functions is one of the most effective ones for the investigation of stability of dynamical systems, in particular, of stochastic differential systems. The main purpose of the paper is the analysis of the stability of…

Analysis of PDEs · Mathematics 2015-03-13 Tomas Caraballo , Mohamed Ali Hammami , Lasaad Mchiri

Simple dynamical systems -- with a small number of degrees of freedom -- can behave in a complex manner due to the presence of chaos. Such systems are most often (idealized) limiting cases of more realistic situations. Isolating a small…

Chaotic Dynamics · Physics 2015-04-17 Temple He , Salman Habib

This paper deals with the problem of analytically computing the largest Lyapunov exponent for many degrees of freedom Hamiltonian systems. This aim is succesfully reached within a theoretical framework that makes use of a geometrization of…

chao-dyn · Physics 2009-10-28 Lapo Casetti , Cecilia Clementi , Marco Pettini

We examine the regenerative cutting process by using a single degree of freedom non-smooth model with a friction component and a time delay term. Instead of the standard Lyapunov exponent calculations, we propose a statistical 0-1 test…

Chaotic Dynamics · Physics 2012-01-25 Grzegorz Litak , Sven Schubert , Guenter Radons

In the study of chaotic behaviour of systems of many hard spheres, Lyapunov exponents of small absolute value exhibit interesting characteristics leading to speculations about connections to non-equilibrium statistical mechanics. Analytical…

Chaotic Dynamics · Physics 2011-07-13 A. S. de Wijn

For a chaotic system pairs of initially close-by trajectories become eventually fully uncorrelated on the attracting set. This process of decorrelation may split into an initial exponential decrease, characterized by the maximal Lyapunov…

Chaotic Dynamics · Physics 2017-04-26 Hendrik Wernecke , Bulcsú Sándor , Claudius Gros

Until now, most memristor-based chaotic circuits proposed in the literature are based on mathematical models which assume ideal characteristics such as piece-wise linear or cubic non-linearities. The idea, illustrated here and originating…

Chaotic Dynamics · Physics 2015-09-02 L. V. Gambuzza , L. Fortuna , M. Frasca , E. Gale

The dynamics of chaotic systems are, by definition, exponentially sensitive to initial conditions and may appear rather random. In this work, we explore relations between the chaotic dynamics of an observable and the dynamics of information…

Mesoscale and Nanoscale Physics · Physics 2019-09-18 Markus J. Klug , Sergey V. Syzranov

We apply the maximum entropy principle to construct the natural invariant density and Lyapunov exponent of one-dimensional chaotic maps. Using a novel function reconstruction technique that is based on the solution of Hausdorff moment…

Chaotic Dynamics · Physics 2015-05-14 Parthapratim Biswas , H. Shimoyama , L. R. Mead

Statistical solutions are time-parameterized probability measures on spaces of integrable functions, that have been proposed recently as a framework for global solutions and uncertainty quantification for multi-dimensional hyperbolic system…

Numerical Analysis · Mathematics 2024-09-23 Ulrik Skre Fjordholm , Kjetil Lye , Siddhartha Mishra , Franziska Weber

We study the chaoticity and the predictability of a turbulent flow on the basis of high-resolution direct numerical simulations at different Reynolds numbers. We find that the Lyapunov exponent of turbulence, which measures the exponential…

Fluid Dynamics · Physics 2017-08-09 G. Boffetta , S. Musacchio

Generic dynamical systems have `typical' Lyapunov exponents, measuring the sensitivity to small perturbations of almost all trajectories. A generic system has also trajectories with exceptional values of the exponents, corresponding to…

Statistical Mechanics · Physics 2013-06-06 Tanguy Laffargue , Khanh-Dang Nguyen Thu Lam , Jorge Kurchan , Julien Tailleur

This paper studies the dynamics and integrability of a variable-length coupled pendulum system. The complexity of the model is presented by joining various numerical methods, such as the Poincar\'e cross-sections, phase-parametric diagrams,…

Chaotic Dynamics · Physics 2024-02-05 Wojciech Szumiński

We discuss the effects of finite perturbations in fully developed turbulence by introducing a measure of the chaoticity degree associated to a given scale of the velocity field. This allows one to determine the predictability time for…

chao-dyn · Physics 2009-10-28 E. Aurell , G. Boffetta , A. Crisanti , G. Paladin , A. Vulpiani

Finding and sampling rare trajectories in dynamical systems is a difficult computational task underlying numerous problems and applications. In this paper we show how to construct Metropolis- Hastings Monte Carlo methods that can…

Chaotic Dynamics · Physics 2017-10-16 Jorge C. Leitao , Joao M. Viana Parente Lopes , Eduardo G. Altmann

In this work, we investigate scale invariance in the temporal evolution and chaotic regime of discrete dynamical systems. By exploiting the close interrelation between scaling and inversion transformations, we formulate scale symmetry in…

The Lyapunov exponent is well-known in deterministic dynamical systems as a measure for quantifying chaos and detecting coherent regions in physically evolving systems. In this Letter, we show how the Lyapunov exponent can be unified with…

Dynamical Systems · Mathematics 2024-03-14 Liam Blake , John Maclean , Sanjeeva Balasuriya

In this work, we only use data on the unstable manifold to locate the partition boundaries by checking folding points at different levels, which practically coincide with homoclinic tangencies (HTs). The method is then applied to the…

Chaotic Dynamics · Physics 2023-05-23 Misha Chai , Yueheng Lan

A number of physical phenomena are described by nonlinear hyperbolic equations. Presence of discontinuous solutions motivates the necessity of development of reliable numerical methods based on the fundamental mathematical properties of…

Computational Physics · Physics 2007-05-23 A. G. Kulikovskii , N. V. Pogorelov , A. Yu Semenov

The presence of chaos in classical Hamiltonian systems is witnessed by its maximal Lyapunov exponent, that quantifies the instability of motion through the exponential growth of indicators such as the trace of the stability matrix or the…

Chaotic Dynamics · Physics 2026-03-30 Thomas R. Michel , Mathias Steinhuber , Juan Diego Urbina , Peter Schlagheck