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Investigating the phase space dynamics of conservative dynamical systems by the Lagrangian descriptors method

In this work, we numerically investigate the dynamics of conservative dynamical systems using the method of Lagrangian descriptors (LDs), which has been extensively used to visualise characteristic features (like fixed points, periodic orbits and their associated manifolds) in the phase space of non...

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Main Author: Zimper, Sebastian
Other Authors: Skokos, Charalampos
Format: Thesis
Language:Eng
Published: Department of Mathematics and Applied Mathematics 2024
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access_status_str Open Access
author Zimper, Sebastian
author2 Skokos, Charalampos
author_browse Skokos, Charalampos
Zimper, Sebastian
author_facet Skokos, Charalampos
Zimper, Sebastian
author_sort Zimper, Sebastian
collection Thesis
description In this work, we numerically investigate the dynamics of conservative dynamical systems using the method of Lagrangian descriptors (LDs), which has been extensively used to visualise characteristic features (like fixed points, periodic orbits and their associated manifolds) in the phase space of nonlinear dynamical systems. The computation of LDs is based on the accumulation of a positive scalar value along any orbit of the dynamical system, making them a rather easily evaluated quantity. Firstly, we use the method of LDs to study the escape of stars in an analytic model of a rotating galaxy. We find that the LDs are able to visually describe the lobe structure of manifolds which govern the escape of stars, thereby providing a computationally cheap and simple way to depict and analyse the model's phase space structures. Secondly, we develop and validate chaos detection techniques which use computations of the LDs of nearby orbits, to characterise the chaoticity of generic conservative systems. More specifically, we introduce the difference and ratio of the LDs of neighbouring orbits as chaos detection diagnostics, and include in our study a quantity related to the second spatial derivative of LDs, which was recently developed by other researchers. Applying these techniques to three basic, prototypical models, namely the two degrees of freedom H´enon-Heiles system, the two-dimensional (2D) standard map, and the 4D standard map, we find that these indices identify chaotic orbits with an accuracy of ≳ 90% when compared to the Smaller Alignment Index (SALI) method, which is a well-established chaos detection technique. Furthermore, we determine the effect on the indices' performance of (i) the orbits' integration time, (ii) the grid spacing between the considered neighbouring orbits, (iii) the number and arrangement of the nearby orbits used to evaluate the indicators and (iv) the overall extent of chaos in the system. A basic outcome of our work is that these indicators can be used to efficiently characterise chaotic behaviour of both low and high-dimensional dynamical systems at short integration times, without solving the so-called variational equations for continuous time systems, or evaluating the tangent map for discrete time models, needed by other, traditional chaos detection techniques.
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institution University of Cape Town (South Africa)
language Eng
last_indexed 2026-06-10T12:31:54.917Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2024
publishDateRange 2024
publishDateSort 2024
publisher Department of Mathematics and Applied Mathematics
publisherStr Department of Mathematics and Applied Mathematics
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source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/40184 Investigating the phase space dynamics of conservative dynamical systems by the Lagrangian descriptors method Zimper, Sebastian Skokos, Charalampos Mathematics and Applied Mathematics In this work, we numerically investigate the dynamics of conservative dynamical systems using the method of Lagrangian descriptors (LDs), which has been extensively used to visualise characteristic features (like fixed points, periodic orbits and their associated manifolds) in the phase space of nonlinear dynamical systems. The computation of LDs is based on the accumulation of a positive scalar value along any orbit of the dynamical system, making them a rather easily evaluated quantity. Firstly, we use the method of LDs to study the escape of stars in an analytic model of a rotating galaxy. We find that the LDs are able to visually describe the lobe structure of manifolds which govern the escape of stars, thereby providing a computationally cheap and simple way to depict and analyse the model's phase space structures. Secondly, we develop and validate chaos detection techniques which use computations of the LDs of nearby orbits, to characterise the chaoticity of generic conservative systems. More specifically, we introduce the difference and ratio of the LDs of neighbouring orbits as chaos detection diagnostics, and include in our study a quantity related to the second spatial derivative of LDs, which was recently developed by other researchers. Applying these techniques to three basic, prototypical models, namely the two degrees of freedom H´enon-Heiles system, the two-dimensional (2D) standard map, and the 4D standard map, we find that these indices identify chaotic orbits with an accuracy of ≳ 90% when compared to the Smaller Alignment Index (SALI) method, which is a well-established chaos detection technique. Furthermore, we determine the effect on the indices' performance of (i) the orbits' integration time, (ii) the grid spacing between the considered neighbouring orbits, (iii) the number and arrangement of the nearby orbits used to evaluate the indicators and (iv) the overall extent of chaos in the system. A basic outcome of our work is that these indicators can be used to efficiently characterise chaotic behaviour of both low and high-dimensional dynamical systems at short integration times, without solving the so-called variational equations for continuous time systems, or evaluating the tangent map for discrete time models, needed by other, traditional chaos detection techniques. 2024-07-02T10:10:20Z 2024-07-02T10:10:20Z 2023 2024-06-06T13:49:25Z Thesis / Dissertation Masters MSc http://hdl.handle.net/11427/40184 Eng application/pdf Department of Mathematics and Applied Mathematics Faculty of Science
spellingShingle Mathematics and Applied Mathematics
Zimper, Sebastian
Investigating the phase space dynamics of conservative dynamical systems by the Lagrangian descriptors method
thesis_degree_str Master's
title Investigating the phase space dynamics of conservative dynamical systems by the Lagrangian descriptors method
title_full Investigating the phase space dynamics of conservative dynamical systems by the Lagrangian descriptors method
title_fullStr Investigating the phase space dynamics of conservative dynamical systems by the Lagrangian descriptors method
title_full_unstemmed Investigating the phase space dynamics of conservative dynamical systems by the Lagrangian descriptors method
title_short Investigating the phase space dynamics of conservative dynamical systems by the Lagrangian descriptors method
title_sort investigating the phase space dynamics of conservative dynamical systems by the lagrangian descriptors method
topic Mathematics and Applied Mathematics
url http://hdl.handle.net/11427/40184
work_keys_str_mv AT zimpersebastian investigatingthephasespacedynamicsofconservativedynamicalsystemsbythelagrangiandescriptorsmethod