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相关论文: On the behavior of the Generalized Alignment Index…

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We investigate the detailed dynamics of multidimensional Hamiltonian systems by studying the evolution of volume elements formed by unit deviation vectors about their orbits. The behavior of these volumes is strongly influenced by the…

混沌动力学 · 物理学 2019-08-19 Ch. Skokos , T. C. Bountis , Ch. Antonopoulos

One of the fundamental tasks in the study of dynamical systems is the discrimination between regular and chaotic behavior. Over the years several methods of chaos detection have been developed. Some of them, such as the construction of the…

混沌动力学 · 物理学 2020-07-03 Henok Tenaw Moges

The recently introduced GALI method is used for rapidly detecting chaos, determining the dimensionality of regular motion and predicting slow diffusion in multi--dimensional Hamiltonian systems. We propose an efficient computation of the…

混沌动力学 · 物理学 2009-11-13 Charalampos Skokos , Tassos Bountis , Chris Antonopoulos

As originally formulated, the Generalized Alignment Index (GALI) method of chaos detection has so far been applied to distinguish quasiperiodic from chaotic motion in conservative nonlinear dynamical systems. In this paper we extend its…

混沌动力学 · 物理学 2013-10-17 T. Manos , Ch. Skokos , Ch. Antonopoulos

We provide a concise presentation of the Smaller (SALI) and the Generalized Alignment Index (GALI) methods of chaos detection. These are efficient chaos indicators based on the evolution of two or more, initially distinct, deviation vectors…

混沌动力学 · 物理学 2015-06-02 Ch. Skokos , T. Manos

We present a method for the computation of the Generalized Alignment Index (GALI), a fast and effective chaos indicator, using a multi-particle approach that avoids variational equations. We show that this approach is robust and accurate by…

混沌动力学 · 物理学 2026-05-25 Bertin Many Manda , Malcolm Hillebrand , Charalampos Skokos

We investigate localization phenomena and stability properties of quasiperiodic oscillations in $N$ degree of freedom Hamiltonian systems and $N$ coupled symplectic maps. In particular, we study an example of a parametrically driven…

混沌动力学 · 物理学 2015-05-13 T. Bountis , T. Manos , H. Christodoulidi

The behavior of the Generalized Alignment Index (GALI) method has been extensively studied and successfully applied for the detection of chaotic motion in conservative Hamiltonian systems, yet its application to non-Hamiltonian dissipative…

混沌动力学 · 物理学 2025-03-04 Henok Tenaw Moges , Thanos Manos , Ovidiu Racoveanu , Charalampos Skokos

We study the phase space dynamics of multi--dimensional symplectic maps, using the method of the Generalized Alignment Index (GALI). In particular, we investigate the behavior of the GALI for a system of N=3 coupled standard maps and show…

混沌动力学 · 物理学 2016-11-23 T. Manos , Ch. Skokos , T. Bountis

Implementing the Generalized Alignment Index (GALI) method of chaos detection we investigate the dynamical behavior of the nonlinear disordered Klein-Gordon lattice chain in one spatial dimension. By performing extensive numerical…

混沌动力学 · 物理学 2022-03-02 Bob Senyange , Charalampos Skokos

The Smaller Alignment Index (SALI) is a very useful and efficient indicator that can distinguish rapidly and with certainty between ordered and chaotic motion in Hamiltonian systems. This is based on the different behavior of the SALI in…

混沌动力学 · 物理学 2010-08-17 Ch. Antonopoulos , T. Manos , Ch. Skokos

Understanding the dynamics of multi--dimensional conservative dynamical systems (Hamiltonian flows or symplectic maps) is a fundamental issue of non-linear science. The Generalized ALignment Index (GALI), which was recently introduced and…

混沌动力学 · 物理学 2013-03-26 T. Manos , Ch. Skokos , T. Bountis

We study the distinction and quantification of chaotic and regular motion in a time-dependent Hamiltonian barred galaxy model. Recently, a strong correlation was found between the strength of the bar and the presence of chaotic motion in…

混沌动力学 · 物理学 2015-03-20 T. Manos , T. Bountis , Ch. Skokos

We introduce a new methodology for a fast and reliable discrimination between ordered and chaotic orbits in multidimensional Hamiltonian systems which we call the Linear Dependence Index (LDI). The new method is based on the recently…

混沌动力学 · 物理学 2007-11-05 Chris Antonopoulos , Tassos Bountis

We use the Smaller Alignment Index (SALI) to distinguish rapidly and with certainty between ordered and chaotic motion in Hamiltonian flows. This distinction is based on the different behavior of the SALI for the two cases: the index…

混沌动力学 · 物理学 2008-11-26 Ch Skokos , Ch Antonopoulos , T C Bountis , M N Vrahatis

We apply the Smaller ALignment Index (SALI) method to a 4--dimensional mapping of accelerator dynamics in order to distinguish rapidly, reliably and accurately between ordered and chaotic motion. The main advantage of this index is that it…

加速器物理 · 物理学 2008-11-26 T. Bountis , Ch. Skokos

We apply the smaller alignment index (SALI) method for distinguishing between ordered and chaotic motion in some simple conservative dynamical systems. In particular we compute the SALI for ordered and chaotic orbits in a 2D and a 4D…

混沌动力学 · 物理学 2007-05-23 Ch. Skokos , Ch. Antonopoulos , T. C. Bountis , M. N. Vrahatis

The primary focus of this thesis is the numerical investigation of chaos in Hamiltonian models describing charged particle orbits in plasma, star motions in barred galaxies, and orbits' diffusion in multidimensional maps. We systematically…

混沌动力学 · 物理学 2025-03-24 Henok Tenaw Moges

The distinction between chaotic and regular behavior of orbits in galactic models is an important issue and can help our understanding of galactic dynamical evolution. In this paper, we deal with this issue by applying the techniques of the…

星系天体物理 · 物理学 2015-05-27 T. Manos , E. Athanassoula

The ability of the Smaller Alignment Index (SALI) to distinguish chaotic from ordered motion, has been demonstrated recently in several publications.\cite{Sk01,GRACM} Basically it is observed that in chaotic regions the SALI goes to zero…

混沌动力学 · 物理学 2016-09-08 Ch. Skokos , Ch. Antonopoulos , T. C. Bountis , M. N. Vrahatis
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