Detection of the onset of numerical chaotic instabilities by lyapunov exponents

It is commonly found in the fixed-step numerical integration of nonlinear differential equations that the size of the integration step is opposite related to the numerical stability of the scheme and to the speed of computation. We present a procedure that establishes a criterion to select the larg...

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Main Author: Alicia Serfaty De Markus
Format: Article
Language:English
Published: Wiley 2001-01-01
Series:Discrete Dynamics in Nature and Society
Subjects:
Online Access:http://dx.doi.org/10.1155/S1026022601000127
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author Alicia Serfaty De Markus
author_facet Alicia Serfaty De Markus
author_sort Alicia Serfaty De Markus
collection DOAJ
description It is commonly found in the fixed-step numerical integration of nonlinear differential equations that the size of the integration step is opposite related to the numerical stability of the scheme and to the speed of computation. We present a procedure that establishes a criterion to select the largest possible step size before the onset of chaotic numerical instabilities, based upon the observation that computational chaos does not occur in a smooth, continuous way, but rather abruptly, as detected by examining the largest Lyapunov exponent as a function of the step size. For completeness, examination of the bifurcation diagrams with the step reveals the complexity imposed by the algorithmic discretization, showing the robustness of a scheme to numerical instabilities, illustrated here for explicit and implicit Euler schemes. An example of numerical suppression of chaos is also provided.
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institution Kabale University
issn 1026-0226
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publishDate 2001-01-01
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series Discrete Dynamics in Nature and Society
spelling doaj-art-296a8413da08478faa5a1a9ef5be59182025-02-03T05:46:13ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2001-01-016212112810.1155/S1026022601000127Detection of the onset of numerical chaotic instabilities by lyapunov exponentsAlicia Serfaty De Markus0Centro de Estudios Avanzados en Optica and Centro de Astrofisica Teórica, Facultad de Ciencias, La Hechicera, Universidad de Los Andes, Mérida 5051, VenezuelaIt is commonly found in the fixed-step numerical integration of nonlinear differential equations that the size of the integration step is opposite related to the numerical stability of the scheme and to the speed of computation. We present a procedure that establishes a criterion to select the largest possible step size before the onset of chaotic numerical instabilities, based upon the observation that computational chaos does not occur in a smooth, continuous way, but rather abruptly, as detected by examining the largest Lyapunov exponent as a function of the step size. For completeness, examination of the bifurcation diagrams with the step reveals the complexity imposed by the algorithmic discretization, showing the robustness of a scheme to numerical instabilities, illustrated here for explicit and implicit Euler schemes. An example of numerical suppression of chaos is also provided.http://dx.doi.org/10.1155/S1026022601000127Numerical instabilities; Difference equations; Lyapunov exponents; Fixed-step schemes; Chaos.
spellingShingle Alicia Serfaty De Markus
Detection of the onset of numerical chaotic instabilities by lyapunov exponents
Discrete Dynamics in Nature and Society
Numerical instabilities; Difference equations; Lyapunov exponents; Fixed-step schemes; Chaos.
title Detection of the onset of numerical chaotic instabilities by lyapunov exponents
title_full Detection of the onset of numerical chaotic instabilities by lyapunov exponents
title_fullStr Detection of the onset of numerical chaotic instabilities by lyapunov exponents
title_full_unstemmed Detection of the onset of numerical chaotic instabilities by lyapunov exponents
title_short Detection of the onset of numerical chaotic instabilities by lyapunov exponents
title_sort detection of the onset of numerical chaotic instabilities by lyapunov exponents
topic Numerical instabilities; Difference equations; Lyapunov exponents; Fixed-step schemes; Chaos.
url http://dx.doi.org/10.1155/S1026022601000127
work_keys_str_mv AT aliciaserfatydemarkus detectionoftheonsetofnumericalchaoticinstabilitiesbylyapunovexponents