New Advances on Chaotic Intermittency and its Applications - Hardcover

Elaskar, Sergio; Del Río, Ezequiel

Hardcover

ISBN 10: 3319478362 ISBN 13: 9783319478364

Publisher: Springer, 2016

Synopsis

One of the most important routes to chaos is the chaotic intermittency. However, there are many cases that do not agree with the classical theoretical predictions. In this book, an extended theory for intermittency in one-dimensional maps is presented. A new general methodology to evaluate the reinjection probability density function (RPD) is developed in Chapters 5 to 8. The key of this formulation is the introduction of a new function, called M(x), which is used to calculate the RPD function. The function M(x) depends on two integrals. This characteristic reduces the influence on the statistical fluctuations in the data series. Also, the function M(x) is easy to evaluate from the data series, even for a small number of numerical or experimental data.

As a result, a more general form for the RPD is found; where the classical theory based on uniform reinjection is recovered as a particular case. The characteristic exponent traditionally used to characterize the intermittencytype, is now a function depending on the whole map, not just on the local map. Also, a new analytical approach to obtain the RPD from the mathematical expression of the map is presented. In this way all cases of non standard intermittencies are included in the same frame work.

This methodology is extended to evaluate the noisy reinjection probability density function (NRPD), the noisy probability of the laminar length and the noisy characteristic relation. This is an important difference with respect to the classical approach based on the Fokker-Plank equation or Renormalization Group theory, where the noise effect was usually considered just on the local Poincaré map.

Finally, in Chapter 9, a new scheme to evaluate the RPD function using the Perron-Frobenius operator is developed. Along the book examples of applications are described, which have shown very good agreement with numerical computations.

 

About this title

About the Author

Prof. Dr. Sergio Elaskar: Mechanical and Aeronautical Engineer (1990) and Doctor in Engineering Sciences at the National University of Cordoba (1997). He has done post-doctoral studies at the National University of Cordoba (1998-2000), the Aeronautical University Institute (2000-2002) and the Polytechnic University of Madrid (2003-2004). He is currently Full Professor and Independent Researcher of the National Council of Science and Technology of Argentina (CONICET) and Researcher Category I of the Education Ministry of Argentina. He is author of two books, in Spanish, and more than 200 refereed publications in journals, conferences and books. At the present Elaskar is Co-Director of the Doctorate of Engineering Sciences at the National University of Cordoba and he was for six years (2009-2015) Director of the Aerospace Master at the National University of Cordoba.

Prof. Dr. Ezequiel del Rio is graduated in Physical Sciences (1987) and Doctor in Physical Sciences atthe Complutense University of Madrid (1993). He is currently Professor at the Polytechnic University of Madrid (from 1993). He is co-author of many books and more than 100 refereed publications in journals and conference proceedings. At the present, del Rio is Co-Director of the Doctorate of Engineering Sciences at the Aerospace School of the Polytechnic University of Madrid. His main fields of investigation are related with chaos, complex systems and stochastic systems.

From the Back Cover

One of the most important routes to chaos is the chaotic intermittency. However, there are many cases that do not agree with the classical theoretical predictions. In this book, an extended theory for intermittency in one-dimensional maps is presented. A new general methodology to evaluate the reinjection probability density function (RPD) is developed in Chapters 5 to 8. The key of this formulation is the introduction of a new function, called M(x), which is used to calculate the RPD function. The function M(x) depends on two integrals. This characteristic reduces the influence on the statistical fluctuations in the data series. Also, the function M(x) is easy to evaluate from the data series, even for a small number of numerical or experimental data.

As a result, a more general form for the RPD is found; where the classical theory based on uniform reinjection is recovered as a particular case. The characteristic exponent traditionally used to characterize the intermittency type, is now a function depending on the whole map, not just on the local map. Also, a new analytical approach to obtain the RPD from the mathematical expression of the map is presented. In this way all cases of non standard intermittencies are included in the same frame work.

This methodology is extended to evaluate the noisy reinjection probability density function (NRPD), the noisy probability of the laminar length and the noisy characteristic relation. This is an important difference with respect to the classical approach based on the Fokker-Plank equation or Renormalization Group theory, where the noise effect was usually considered just on the local Poincaré map.

Finally, in Chapter 9, a new scheme to evaluate the RPD function using the Perron-Frobenius operator is developed. Along the book examples of applications are described, which have shown very good agreement with numerical computations.

 

Edition details

• Publisher: Springer
• Publication date: 2016
• Language: English
• ISBN 10: 3319478362
• ISBN 13: 9783319478364
• Binding: Hardcover
• Edition number: 1
• Number of pages: 215