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A Riemannian geometrization of dynamics is used to study chaoticity in the classical Hamiltonian dynamics of a U(1) lattice gauge theory. This approach allows one to obtain analytical estimates of the largest Lyapunov exponent in terms of…

chao-dyn · Physics 2008-11-26 Lapo Casetti , Raoul Gatto , Marco Pettini

In this paper, we propose a dynamical systems perspective of the Expectation-Maximization (EM) algorithm. More precisely, we can analyze the EM algorithm as a nonlinear state-space dynamical system. The EM algorithm is widely adopted for…

Optimization and Control · Mathematics 2018-10-05 Orlando Romero , Sarthak Chatterjee , Sérgio Pequito

The Lyapunov exponents of a dynamical system measure the average rate of exponential stretching along an orbit. Positive exponents are often taken as a defining characteristic of chaotic dynamics. However, the standard…

Chaotic Dynamics · Physics 2024-09-16 E. Sander , J. D. Meiss

It is shown that the asymptotic spectra of finite-time Lyapunov exponents of a variety of fully chaotic dynamical systems can be understood in terms of a statistical analysis. Using random matrix theory we derive numerical and in particular…

Chaotic Dynamics · Physics 2009-10-31 Fotis Diakonos , Detlef Pingel , Peter Schmelcher

Linear skew-product semidynamical systems generated by random systems of delay differential equations are considered, both on a space of continuous functions as~well as on a space of $p$-summable functions. The main result states that in…

Dynamical Systems · Mathematics 2020-02-20 Janusz Mierczyński , Sylvia Novo , Rafael Obaya

Delay differential equations (DDEs) are infinite-dimensional systems, so even a scalar, unforced nonlinear DDE can exhibit chaos. Lyapunov exponents are indicators of chaos and can be computed by comparing the evolution of infinitesimally…

Computational Physics · Physics 2018-10-04 Anwar Sadath , Thomas K. Uchida , C. P. Vyasarayani

We characterize the dynamical states of a piezoelectric microelectromechanical system (MEMS) using several numerical quantifers including the maximal Lyapunov exponent, the Poincare Surface of Section and a chaos detection method called the…

Computational Physics · Physics 2019-12-19 M. V. Tchakui , P. Woafo , Ch. Skokos

Finite-time Lyapunov exponents of generic chaotic dynamical systems fluctuate in time. These fluctuations are due to the different degree of stability across the accessible phase-space. A recent numerical study of spatially-extended systems…

Chaotic Dynamics · Physics 2013-12-02 Diego Pazó , Juan M. López , Antonio Politi

The effective numerical method is developed performing the test of the hyperbolicity of chaotic dynamics. The method employs ideas of algorithms for covariant Lyapunov vectors but avoids their explicit computation. The outcome is a…

Chaotic Dynamics · Physics 2012-03-28 Pavel V. Kuptsov

The Lyapunov exponent for collective motion is defined in order to characterize chaotic properties of collective motion for large populations of chaotic elements. Numerical computations for this quantity suggest that such collective motion…

chao-dyn · Physics 2009-10-31 Naoko Nakagawa , Teruhisa S. Komatsu

Krylov complexity has recently been proposed as a quantum probe of chaos. The Krylov exponent characterising the exponential growth of Krylov complexity is conjectured to upper-bound the Lyapunov exponent. We compute the Krylov and the…

High Energy Physics - Theory · Physics 2024-09-13 Shira Chapman , Saskia Demulder , Damián A. Galante , Sameer U. Sheorey , Osher Shoval

Choosing the optimal observable to model dynamical systems for which we do not know the driving equations is nearly always an ad hoc art. Takens' Delay Embedding Theorem guarantees a diffeomorphism between delay-coordinate vectors built…

Computational Physics · Physics 2026-05-01 Maximilian Topel

We carry out a systematic study of a novel type of chaos at onset ("soft-mode turbulence") based on numerical integration of the simplest one dimensional model. The chaos is characterized by a smooth interplay of different spatial scales,…

Condensed Matter · Physics 2016-08-31 Hao-wen Xi , Raul Toral , J. D. Gunton , Michael I. Tribelsky

We calculate the Lyapunov exponents in a classical molecular dynamics framework. The system is composed of few hundreds particles interacting either through Yukawa (Nuclear) or Slater-Kirkwood (Atomic) forces. The forces are chosen to give…

chao-dyn · Physics 2009-10-28 A. Bonasera , V. Latora , A. Rapisarda

We put forward a new method for obtaining quantitative lower bounds on the top Lyapunov exponent of stochastic differential equations (SDEs). Our method combines (i) an (apparently new) identity connecting the top Lyapunov exponent to a…

Dynamical Systems · Mathematics 2022-08-04 Jacob Bedrossian , Alex Blumenthal , Sam Punshon-Smith

This paper presents new sufficient conditions for convergence and asymptotic or exponential stability of a stochastic discrete-time system, under which the constructed Lyapunov function always decreases in expectation along the system's…

Systems and Control · Computer Science 2019-06-05 Yuzhen Qin , Ming Cao , Brian D. O. Anderson

A fundamental issue in nonlinear dynamics and statistical physics is how to distinguish chaotic from stochastic fluctuations in short experimental recordings. This dilemma underlies many complex systems models from stochastic gene…

Chaotic Dynamics · Physics 2010-04-12 Chi-Sang Poon , Cheng Li , Guo-Qiang Wu

We present a new approach for constructing polytope Lyapunov functions for continuous-time linear switching systems (LSS). This allows us to decide the stability of LSS and to compute the Lyapunov exponent with a good precision in…

Dynamical Systems · Mathematics 2014-06-24 Nicola Guglielmi , Linda Laglia , Vladimir Protasov

The largest Lyapunov exponent $\lambda^+$ for a dilute gas with short range interactions in equilibrium is studied by a mapping to a clock model, in which every particle carries a watch, with a discrete time that is advanced at collisions.…

chao-dyn · Physics 2009-10-30 R. van Zon , H. van Beijeren , Ch. Dellago

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
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