Simulaciones numéricas de sistemas dinámicos caóticos oscilatorios que conservan su caos

The use of numerical simulations for studying the dynamic of chaotic systems has some associated shortcomings including chaos suppression for true chaotic systems, or the induction of chaos in otherwise non chaotic systems. In consequence, numerical simulations results may substantially depart from...

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Detalles Bibliográficos
Autor: Jessica Zaqueros-Martínez
Tipo de recurso: tesis de maestría
Estado:Versión aceptada para publicación
Fecha de publicación:2018
País:México
Institución:Instituto Nacional de Astrofísica, Óptica y Electrónica
Repositorio:Repositorio Institucional del INAOE
Idioma:español
OAI Identifier:oai:inaoe.repositorioinstitucional.mx:1009/1609
Acceso en línea:http://inaoe.repositorioinstitucional.mx/jspui/handle/1009/1609
Access Level:acceso abierto
Palabra clave:info:eu-repo/classification/Inspec/Dynamic systems
info:eu-repo/classification/Inspec/Chaos
info:eu-repo/classification/Inspec/Suppression of chaos
info:eu-repo/classification/Inspec/Fake chaos
info:eu-repo/classification/Inspec/Numerical algorithm
info:eu-repo/classification/Inspec/Gautschi method
info:eu-repo/classification/cti/1
info:eu-repo/classification/cti/12
info:eu-repo/classification/cti/1203
info:eu-repo/classification/cti/120326
Descripción
Sumario:The use of numerical simulations for studying the dynamic of chaotic systems has some associated shortcomings including chaos suppression for true chaotic systems, or the induction of chaos in otherwise non chaotic systems. In consequence, numerical simulations results may substantially depart from the true solution. Although many numerical simulations from Euler or Runge-Ku.a family employ numerical strategies to contain error, they often do not contemplate the special characteristics of chaotic systems. One of these particularities occurs when chaotic systems are oscillatory and hence, their solutions span over many frequencies. In this work, we propose the application of numerical methods based on trigonometric polynomials over traditional choices because they are able to capture oscillatory behaviours. We hypothesize that such choice shall result in the preservation of true chaotic behaviour during longer simulations. Specifically, we show that simulations of chaotic systems based on Gautschi method preserve the chaos for simulations of at least 50,000 time units, comparatively surpassing the performance of other traditional choices. Numerical simulation families considered here for comparison include Euler, Runge-Kutta, Adams-Bashforth and Adams-Moulton strategies. Three experiments were carried out. The first two experiments provided empirical evidence of chaos suppression in chaotic systems with the backward Euler method, and chaos generation in non-chaotic systems with forward Euler method, justifying the need of consider chaotic systems particularities. The third experiment showed that the Gautschi method satisfactorily simulates the test chaotic systems. During evaluation, numerical results were assessed qualitatively through their phase space and periodogram and quantitatively evaluated in terms of the Lyapunov exponents, the Kolmogorov-Sinai entropy and the number of evaluations performed by the numerical method at each step to the model representing the chaotic system as a proxy of computational cost.