Eigenpairs for the Analysis of Complete Lyapunov Functions

A complete Lyapunov function describes the qualitative behaviour of a dynamical system: the areas where the orbital derivative vanishes and where it is strictly negative characterise the chain recurrent set and the gradient-like flow, respectively. Moreover, its local maxima and minima show the stab...

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Main Authors: Carlos Argáez, Peter Giesl, Sigurdur Freyr Hafstein
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2022/3160052
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author Carlos Argáez
Peter Giesl
Sigurdur Freyr Hafstein
author_facet Carlos Argáez
Peter Giesl
Sigurdur Freyr Hafstein
author_sort Carlos Argáez
collection DOAJ
description A complete Lyapunov function describes the qualitative behaviour of a dynamical system: the areas where the orbital derivative vanishes and where it is strictly negative characterise the chain recurrent set and the gradient-like flow, respectively. Moreover, its local maxima and minima show the stability properties of the connected components of the chain recurrent set. In this study, we use collocation with radial basis functions to numerically compute approximations to complete Lyapunov functions and then localise and analyse the stability properties of the connected components of the chain recurrent set using its gradient and Hessian. In particular, we improve the estimation of the chain recurrent set, and we determine the dimension and the stability properties of its connected components.
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institution Kabale University
issn 1099-0526
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spelling doaj-art-550650023d80477e92f3b33542371c002025-02-03T01:22:39ZengWileyComplexity1099-05262022-01-01202210.1155/2022/3160052Eigenpairs for the Analysis of Complete Lyapunov FunctionsCarlos Argáez0Peter Giesl1Sigurdur Freyr Hafstein2Marine and Freshwater Research InstituteScience InstituteDepartment of MathematicsA complete Lyapunov function describes the qualitative behaviour of a dynamical system: the areas where the orbital derivative vanishes and where it is strictly negative characterise the chain recurrent set and the gradient-like flow, respectively. Moreover, its local maxima and minima show the stability properties of the connected components of the chain recurrent set. In this study, we use collocation with radial basis functions to numerically compute approximations to complete Lyapunov functions and then localise and analyse the stability properties of the connected components of the chain recurrent set using its gradient and Hessian. In particular, we improve the estimation of the chain recurrent set, and we determine the dimension and the stability properties of its connected components.http://dx.doi.org/10.1155/2022/3160052
spellingShingle Carlos Argáez
Peter Giesl
Sigurdur Freyr Hafstein
Eigenpairs for the Analysis of Complete Lyapunov Functions
Complexity
title Eigenpairs for the Analysis of Complete Lyapunov Functions
title_full Eigenpairs for the Analysis of Complete Lyapunov Functions
title_fullStr Eigenpairs for the Analysis of Complete Lyapunov Functions
title_full_unstemmed Eigenpairs for the Analysis of Complete Lyapunov Functions
title_short Eigenpairs for the Analysis of Complete Lyapunov Functions
title_sort eigenpairs for the analysis of complete lyapunov functions
url http://dx.doi.org/10.1155/2022/3160052
work_keys_str_mv AT carlosargaez eigenpairsfortheanalysisofcompletelyapunovfunctions
AT petergiesl eigenpairsfortheanalysisofcompletelyapunovfunctions
AT sigurdurfreyrhafstein eigenpairsfortheanalysisofcompletelyapunovfunctions