Comparative study of variational chaos indicators and ODEs' numerical integrators
- Autores
- Darriba, Luciano A.; Maffione, Nicolás Pablo; Cincotta, Pablo M.; Giordano, Claudia M.
- Año de publicación
- 2012
- Idioma
- español castellano
- Tipo de recurso
- artículo
- Estado
- versión aceptada
- Descripción
- Fil: Darriba, Luciano A. Universidad Nacional de la Plata. Facultad de Ciencias Astronómicas y Geofísicas; Argentina
Fil: Darriba, Luciano A. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina
Fil: Darriba, Luciano A. Instituto de Astrofísica La Plata; Argentina
Fil: Maffione, Nicolas P. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina
Fil: Maffione, Nicolas P. Instituto de Astrofísica La Plata; Argentina
Fil: Maffione, Nicolas P. Universidad Nacional de la Plata. Facultad de Ciencias Astronómicas y Geofísicas; Argentina
Fil: Cincotta, Pablo M. Instituto de Astrofísica La Plata; Argentina
Fil: Cincotta, Pablo M. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico La Plata; Argentina
Fil: Cincotta, Pablo M. Universidad Nacional de La Plata. Facultad de Ciencias Astronómicas y Geofísicas; Argentina
Fil: Giordano, Claudia M. Instituto de Astrofísica de La Plata; Argentina.
Fil: Giordano, Claudia M. Universidad Nacional de la Plata. Facultad de Ciencias Astronómicas y Geofísicas; Argentina
Fil: Giordano, Claudia M. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina
The reader can find in the literature a lot of different techniques to study the dynamics of a given system and also, many suitable numerical integrators to compute them. Notwithstanding the recent work of Maffione et al. (2011a) for mappings, a detailed comparison among the widespread indicators of chaos in a general system is still lacking. Such a comparison could lead to select the most efficient algorithms given a certain dynamical problem. Furthermore, in order to choose the appropriate numerical integrators to compute them, more comparative studies among numerical integrators are also needed. This work deals with both problems. We first extend the work of Maffione et al. (2011) for mappings to the 2D H\'enon & Heiles (1964) potential, and compare several variational indicators of chaos: the Lyapunov Indicator (LI); the Mean Exponential Growth Factor of Nearby Orbits (MEGNO); the Smaller Alignment Index (SALI) and its generalized version, the Generalized Alignment Index (GALI); the Fast Lyapunov Indicator (FLI) and its variant, the Orthogonal Fast Lyapunov Indicator (OFLI); the Spectral Distance (D) and the Dynamical Spectras of Stretching Numbers (SSNs). We also include in the record the Relative Lyapunov Indicator (RLI), which is not a variational indicator as the others. Then, we test a numerical technique to integrate Ordinary Differential Equations (ODEs) based on the Taylor method implemented by Jorba & Zou (2005) (called taylor), and we compare its performance with other two well-known efficient integrators: the Prince & Dormand (1981) implementation of a Runge-Kutta of order 7-8 (DOPRI8) and a Bulirsch-St\"oer implementation. These tests are run under two very different systems from the complexity of their equations point of view: a triaxial galactic potential model and a perturbed 3D quartic oscillator. - Materia
-
Astronomía
Chaos Indicators
Numerical Integrators
Variational Equations
ODEs
Hamil-tonian Systems
Astronomía - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/4.0/
- Repositorio
- Institución
- Universidad Nacional de Río Negro
- OAI Identificador
- oai:rid.unrn.edu.ar:20.500.12049/2870
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Comparative study of variational chaos indicators and ODEs' numerical integratorsDarriba, Luciano A.Maffione, Nicolás PabloCincotta, Pablo M.Giordano, Claudia M.AstronomíaChaos IndicatorsNumerical IntegratorsVariational EquationsODEsHamil-tonian SystemsAstronomíaFil: Darriba, Luciano A. Universidad Nacional de la Plata. Facultad de Ciencias Astronómicas y Geofísicas; ArgentinaFil: Darriba, Luciano A. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; ArgentinaFil: Darriba, Luciano A. Instituto de Astrofísica La Plata; ArgentinaFil: Maffione, Nicolas P. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; ArgentinaFil: Maffione, Nicolas P. Instituto de Astrofísica La Plata; ArgentinaFil: Maffione, Nicolas P. Universidad Nacional de la Plata. Facultad de Ciencias Astronómicas y Geofísicas; ArgentinaFil: Cincotta, Pablo M. Instituto de Astrofísica La Plata; ArgentinaFil: Cincotta, Pablo M. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico La Plata; ArgentinaFil: Cincotta, Pablo M. Universidad Nacional de La Plata. Facultad de Ciencias Astronómicas y Geofísicas; ArgentinaFil: Giordano, Claudia M. Instituto de Astrofísica de La Plata; Argentina.Fil: Giordano, Claudia M. Universidad Nacional de la Plata. Facultad de Ciencias Astronómicas y Geofísicas; ArgentinaFil: Giordano, Claudia M. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; ArgentinaThe reader can find in the literature a lot of different techniques to study the dynamics of a given system and also, many suitable numerical integrators to compute them. Notwithstanding the recent work of Maffione et al. (2011a) for mappings, a detailed comparison among the widespread indicators of chaos in a general system is still lacking. Such a comparison could lead to select the most efficient algorithms given a certain dynamical problem. Furthermore, in order to choose the appropriate numerical integrators to compute them, more comparative studies among numerical integrators are also needed. This work deals with both problems. We first extend the work of Maffione et al. (2011) for mappings to the 2D H\'enon & Heiles (1964) potential, and compare several variational indicators of chaos: the Lyapunov Indicator (LI); the Mean Exponential Growth Factor of Nearby Orbits (MEGNO); the Smaller Alignment Index (SALI) and its generalized version, the Generalized Alignment Index (GALI); the Fast Lyapunov Indicator (FLI) and its variant, the Orthogonal Fast Lyapunov Indicator (OFLI); the Spectral Distance (D) and the Dynamical Spectras of Stretching Numbers (SSNs). We also include in the record the Relative Lyapunov Indicator (RLI), which is not a variational indicator as the others. Then, we test a numerical technique to integrate Ordinary Differential Equations (ODEs) based on the Taylor method implemented by Jorba & Zou (2005) (called taylor), and we compare its performance with other two well-known efficient integrators: the Prince & Dormand (1981) implementation of a Runge-Kutta of order 7-8 (DOPRI8) and a Bulirsch-St\"oer implementation. These tests are run under two very different systems from the complexity of their equations point of view: a triaxial galactic potential model and a perturbed 3D quartic oscillator.2012-05-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfDarriba, Luciano A., Maffione, Nicolas P., Cincotta, Pablo M. & Giordano, Claudia M. (2012). Comparative study of variational chaos indicators and ODEs' numerical integrators (review). World Scientific; International Journal Of Bifurcation And Chaos; 22; 1-350218-1274http://www.worldscientific.com/doi/abs/10.1142/S0218127412300339http://hdl.handle.net/11336/42610https://rid.unrn.edu.ar/jspui/handle/20.500.12049/2870http://dx.doi.org/10.1142/S0218127412300339spa22International Journal Of Bifurcation And Chaosinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/4.0/reponame:RID-UNRN (UNRN)instname:Universidad Nacional de Río Negro2025-10-16T10:06:04Zoai:rid.unrn.edu.ar:20.500.12049/2870instacron:UNRNInstitucionalhttps://rid.unrn.edu.ar/jspui/Universidad públicaNo correspondehttps://rid.unrn.edu.ar/oai/snrdrid@unrn.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:43692025-10-16 10:06:04.352RID-UNRN (UNRN) - Universidad Nacional de Río Negrofalse |
dc.title.none.fl_str_mv |
Comparative study of variational chaos indicators and ODEs' numerical integrators |
title |
Comparative study of variational chaos indicators and ODEs' numerical integrators |
spellingShingle |
Comparative study of variational chaos indicators and ODEs' numerical integrators Darriba, Luciano A. Astronomía Chaos Indicators Numerical Integrators Variational Equations ODEs Hamil-tonian Systems Astronomía |
title_short |
Comparative study of variational chaos indicators and ODEs' numerical integrators |
title_full |
Comparative study of variational chaos indicators and ODEs' numerical integrators |
title_fullStr |
Comparative study of variational chaos indicators and ODEs' numerical integrators |
title_full_unstemmed |
Comparative study of variational chaos indicators and ODEs' numerical integrators |
title_sort |
Comparative study of variational chaos indicators and ODEs' numerical integrators |
dc.creator.none.fl_str_mv |
Darriba, Luciano A. Maffione, Nicolás Pablo Cincotta, Pablo M. Giordano, Claudia M. |
author |
Darriba, Luciano A. |
author_facet |
Darriba, Luciano A. Maffione, Nicolás Pablo Cincotta, Pablo M. Giordano, Claudia M. |
author_role |
author |
author2 |
Maffione, Nicolás Pablo Cincotta, Pablo M. Giordano, Claudia M. |
author2_role |
author author author |
dc.subject.none.fl_str_mv |
Astronomía Chaos Indicators Numerical Integrators Variational Equations ODEs Hamil-tonian Systems Astronomía |
topic |
Astronomía Chaos Indicators Numerical Integrators Variational Equations ODEs Hamil-tonian Systems Astronomía |
dc.description.none.fl_txt_mv |
Fil: Darriba, Luciano A. Universidad Nacional de la Plata. Facultad de Ciencias Astronómicas y Geofísicas; Argentina Fil: Darriba, Luciano A. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina Fil: Darriba, Luciano A. Instituto de Astrofísica La Plata; Argentina Fil: Maffione, Nicolas P. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina Fil: Maffione, Nicolas P. Instituto de Astrofísica La Plata; Argentina Fil: Maffione, Nicolas P. Universidad Nacional de la Plata. Facultad de Ciencias Astronómicas y Geofísicas; Argentina Fil: Cincotta, Pablo M. Instituto de Astrofísica La Plata; Argentina Fil: Cincotta, Pablo M. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico La Plata; Argentina Fil: Cincotta, Pablo M. Universidad Nacional de La Plata. Facultad de Ciencias Astronómicas y Geofísicas; Argentina Fil: Giordano, Claudia M. Instituto de Astrofísica de La Plata; Argentina. Fil: Giordano, Claudia M. Universidad Nacional de la Plata. Facultad de Ciencias Astronómicas y Geofísicas; Argentina Fil: Giordano, Claudia M. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina The reader can find in the literature a lot of different techniques to study the dynamics of a given system and also, many suitable numerical integrators to compute them. Notwithstanding the recent work of Maffione et al. (2011a) for mappings, a detailed comparison among the widespread indicators of chaos in a general system is still lacking. Such a comparison could lead to select the most efficient algorithms given a certain dynamical problem. Furthermore, in order to choose the appropriate numerical integrators to compute them, more comparative studies among numerical integrators are also needed. This work deals with both problems. We first extend the work of Maffione et al. (2011) for mappings to the 2D H\'enon & Heiles (1964) potential, and compare several variational indicators of chaos: the Lyapunov Indicator (LI); the Mean Exponential Growth Factor of Nearby Orbits (MEGNO); the Smaller Alignment Index (SALI) and its generalized version, the Generalized Alignment Index (GALI); the Fast Lyapunov Indicator (FLI) and its variant, the Orthogonal Fast Lyapunov Indicator (OFLI); the Spectral Distance (D) and the Dynamical Spectras of Stretching Numbers (SSNs). We also include in the record the Relative Lyapunov Indicator (RLI), which is not a variational indicator as the others. Then, we test a numerical technique to integrate Ordinary Differential Equations (ODEs) based on the Taylor method implemented by Jorba & Zou (2005) (called taylor), and we compare its performance with other two well-known efficient integrators: the Prince & Dormand (1981) implementation of a Runge-Kutta of order 7-8 (DOPRI8) and a Bulirsch-St\"oer implementation. These tests are run under two very different systems from the complexity of their equations point of view: a triaxial galactic potential model and a perturbed 3D quartic oscillator. |
description |
Fil: Darriba, Luciano A. Universidad Nacional de la Plata. Facultad de Ciencias Astronómicas y Geofísicas; Argentina |
publishDate |
2012 |
dc.date.none.fl_str_mv |
2012-05-08 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
acceptedVersion |
dc.identifier.none.fl_str_mv |
Darriba, Luciano A., Maffione, Nicolas P., Cincotta, Pablo M. & Giordano, Claudia M. (2012). Comparative study of variational chaos indicators and ODEs' numerical integrators (review). World Scientific; International Journal Of Bifurcation And Chaos; 22; 1-35 0218-1274 http://www.worldscientific.com/doi/abs/10.1142/S0218127412300339 http://hdl.handle.net/11336/42610 https://rid.unrn.edu.ar/jspui/handle/20.500.12049/2870 http://dx.doi.org/10.1142/S0218127412300339 |
identifier_str_mv |
Darriba, Luciano A., Maffione, Nicolas P., Cincotta, Pablo M. & Giordano, Claudia M. (2012). Comparative study of variational chaos indicators and ODEs' numerical integrators (review). World Scientific; International Journal Of Bifurcation And Chaos; 22; 1-35 0218-1274 |
url |
http://www.worldscientific.com/doi/abs/10.1142/S0218127412300339 http://hdl.handle.net/11336/42610 https://rid.unrn.edu.ar/jspui/handle/20.500.12049/2870 http://dx.doi.org/10.1142/S0218127412300339 |
dc.language.none.fl_str_mv |
spa |
language |
spa |
dc.relation.none.fl_str_mv |
22 International Journal Of Bifurcation And Chaos |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/4.0/ |
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openAccess |
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https://creativecommons.org/licenses/by-nc-sa/4.0/ |
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