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相关论文: Large-scale fluctuations of the largest Lyapunov e…

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We show that in generic one-dimensional Hamiltonian lattices the diffusion coefficient of the maximum Lyapunov exponent diverges in the thermodynamic limit. We trace this back to the long-range correlations associated with the evolution of…

混沌动力学 · 物理学 2016-08-03 Diego Pazo , Juan M. Lopez , Antonio Politi

Lyapunov exponents of dynamical systems are defined from the rates of divergence of nearby trajectories. For stochastic systems, one typically assumes that these trajectories are generated under the "same noise realization". The purpose of…

统计力学 · 物理学 2016-04-20 Tanguy Laffargue , Julien Tailleur , Frédéric van Wijland

A kinetic approach is adopted to describe the exponential growth of a small deviation of the initial phase space point, measured by the largest Lyapunov exponent, for a dilute system of hard disks, both in equilibrium and in a uniform shear…

混沌动力学 · 物理学 2015-06-26 R. van Zon , H. van Beijeren

A general indicator of the presence of chaos in a dynamical system is the largest Lyapunov exponent. This quantity provides a measure of the mean exponential rate of divergence of nearby orbits. In this paper, we show that the so-called…

混沌动力学 · 物理学 2014-01-28 F. L. Dubeibe , L. D. Bermudez-Almanza

This paper investigates the behaviour of open billiard systems in high-dimensional spaces. Specifically, we estimate the largest Lyapunov exponent, which quantifies the rate of divergence between nearby trajectories in a dynamical system.…

动力系统 · 数学 2023-06-08 Amal Al Dowais

We investigate the predictability problem in dynamical systems with many degrees of freedom and a wide spectrum of temporal scales. In particular, we study the case of $3D$ turbulence at high Reynolds numbers by introducing a finite-size…

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

In this Letter we show that the analysis of Lyapunov-exponents fluctuations contributes to deepen our understanding of high-dimensional chaos. This is achieved by introducing a Gaussian approximation for the large deviation function that…

混沌动力学 · 物理学 2012-03-28 Pavel V. Kuptsov , Antonio Politi

An investigation of the distribution of finite time trajectory divergence is performed on an Atmospheric Global Circulation Model. The distribution of the largest local Lyapunov exponent shows a significant probability for negative values…

大气与海洋物理 · 物理学 2015-06-12 Bernd Schalge , Richard Blender , Jeroen Wouters , Klaus Fraedrich , Frank Lunkeit

We calculate the maximal Lyapunov exponent, the generalized entropies, the asymptotic distance between nearby trajectories and the fractal dimensions for a finite two dimensional system at different initial excitation energies. We show that…

chao-dyn · 物理学 2007-05-23 C. O. Dorso , A. Bonasera

The Lyapunov exponent is used to characterize the stability of the dynamic response of the system, and it is often employed to verify if a system is chaotic. Since its discovery in the nineteenth century, various methods have been proposed…

We calculate analytically the largest Lyapunov exponent of the so-called $\alpha XY$ Hamiltonian in the high energy regime. This system consists of a $d$-dimensional lattice of classical spins with interactions that decay with distance…

统计力学 · 物理学 2009-11-10 Raul O. Vallejos , Celia Anteneodo

We study the variation of Lyapunov exponents of simple dynamical systems near attractor-widening and attractor-merging crises. The largest Lyapunov exponent has universal behaviour, showing abrupt variation as a function of the control…

chao-dyn · 物理学 2009-10-28 Vishal Mehra , Ramakrishna Ramaswamy

Lyapunov exponents characterize the chaotic nature of dynamical systems by quantifying the growth rate of uncertainty associated with the imperfect measurement of initial conditions. Finite-time estimates of the exponent, however,…

统计力学 · 物理学 2017-09-22 Patrick Charbonneau , Yue Li , Henry D. Pfister , Sho Yaida

We report a numerical investigation of the fluctuations of the Lyapunov exponent of a two dimensional non-interacting disordered system. While the ratio of the mean to the variance of the Lyapunov exponent is not constant, as it is in one…

无序系统与神经网络 · 物理学 2009-11-10 K. Slevin , Y. Asada , L. I. Deych

We compute the full Lyapunov spectra for a hard-disk fluid under temperature gradient and shear. The system is thermalized by deterministic and time-reversible scattering at the boundary. This thermostating mechanism allows for energy…

混沌动力学 · 物理学 2007-05-23 C. Wagner

We compute semi-analytic and numerical estimates for the largest Lyapunov exponent in a many-particle system with long-range interactions, extending previous results for the Hamiltonian Mean Field model with a cosine potential. Our results…

统计力学 · 物理学 2020-06-24 Moisés F. P. Silva , Tarcísio M. Rocha Filho , Yves Elskens

Using direct numerical simulation we study the behavior of the maximal Lyapunov exponent in thin-layer turbulence, where one dimension of the system is constrained geometrically. Such systems are known to exhibit transitions from fully…

流体动力学 · 物理学 2021-06-02 Daniel Clark , Andres Armua , Calum Freeman , Daniel J. Brener , Arjun Berera

A recently developed method for the calculation of Lyapunov exponents of dynamical systems is described. The method is applicable whenever the linearized dynamics is Hamiltonian. By utilizing the exponential representation of symplectic…

acc-phys · 物理学 2008-02-03 Salman Habib , Robert D. Ryne

It is well-known that the Lyapunov exponent plays a fundamental role in dynamical systems. In this note, we propose an alternative definition of Lyapunov exponent in terms of Lipschitz maps, which are not necessarily differentiable. We show…

综合数学 · 数学 2018-01-31 Giuliano G. La Guardia , Pedro J. Miranda

We develop a powerful and general method to provide rigorous and accurate upper and lower bounds for Lyapunov exponents of stochastic flows. Our approach is based on computer-assisted tools, the adjoint method and established results on the…

动力系统 · 数学 2025-06-02 Maxime Breden , Hugo Chu , Jeroen S. W. Lamb , Martin Rasmussen
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