Theory of intermittency applied to classical pathological cases

• Autores: del Rio, Ezequiel; Elaskar, Sergio Amado; Makarov, Valeri A.
• Año de publicación: 2013
• Idioma: inglés
• Tipo de recurso: artículo
• Materia: Intermittency; Phatological cases; RPD
• Institución: Consejo Nacional de Investigaciones Científicas y Técnicas

The classical theory of intermittency developed for return maps assumes uniform density of points reinjected from the chaotic to laminar region. Though it works fine in some model systems, there exist a number of so-called pathological cases characterized by a significant deviation of main characteristics from the values predicted on the basis of the uniform distribution. Recently, we reported on how the reinjection probability density (RPD) can be generalized. Here, we extend this methodology and apply it to different dynamical systems exhibiting anomalous type-II and type-III intermittencies. Estimation of the universal RPD is based on fitting a linear function to experimental data and requires no a priori knowledge on the dynamical model behind. We provide special fitting procedure that enables robust estimation of the RPD from relatively short data sets (dozens of points). Thus, the method is applicable for a wide variety of data sets including numerical simulations and real-life experiments. Estimated RPD enables analytic evaluation of the length of the laminar phase of intermittent behaviors. We show that the method copes well with dynamical systems exhibiting significantly different statistics reported in the literature. We also derive and classify characteristic relations between the mean laminar length and main controlling parameter in perfect agreement with data provided by numerical simulations.
Fil: del Rio, Ezequiel. Universidad Politécnica de Madrid; España
Fil: Elaskar, Sergio Amado. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Departamento de Aeronáutica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Makarov, Valeri A.. Universidad Complutense de Madrid; España