Chapter 1. Maurice Courbage: The Directional Entropy for Spatially Extended Dynamical Systems
Chapter 2. Olivier Bui, Xavier Leoncini, Detecting Regularity with Complexity Functions Chapter 3. Raul Rechtman, Local Complexity Functions of the Ehrenfest’s wind-tree model
Chapter 4.Bastien Fernandez, Selective Chaos of Travelling Waves in Feedforward Chains of Bistable Maps
Chapter 5. Yeyin Xu, Albert C.J. Luo, On Periodic Motions in a van der Pol Oscillator
Chapter 6. Jianzhe Huang, Fuhong Min , Hidden periodic motions for brushless motor with unsteady torque excitation
Chapter 7. Stefano Boccaletti, H. Bi, T. Qui, I. Bonamassa, Shuguang Guan, Chunking Rhythmic Synchronization: Bellerophon States and Quantized Clusters of Globally Coupled Phase Oscillators
Chapter 8. Shasha Zheng, Xilin Fu, Chatter Dynamics and Stability of the Impulsive van der Pol Equation
Chapter 9. Xilin Fu, Yanyan Zhang, Complex Motions in an Inclined Impact Pair With a Periodic Excitation
Chapter 10. Dmitry V. Kovalevsky, Igor L. Bashmachnikov:Nonlinear Dynamics of Deep Open-Ocean Convection: An Analytical Approach
Chapter 11. Messoud Efendiev, Vitali Vougalter: On the Necessary Conditions for Preserving the Nonnegative Cone: Mixed Diffusion
Chapter 12. Dimitri Volchenkov,Veniamin Smirnov:Multi-scale Analysis of Urban Spatial Structures acquired from OpenStreetMap
Dr. Dimitri Volchenkov obtained his Ph.D. in Theoretical Physics in the Saint Petersburg State University(Russia) and habilitated in the CNRS Centre de Physique Theorique (Marseille, France). He is Associate Professor of Mathematics and Statistics at the Texas Tech University (USA) and Professor of Risk Assessment and Data Science at the Sichuan University of Science and Engineering (China). His research interests are the science of complexity and interdisciplinary physics ranging from the stochastic nonlinear dynamics, to plasma turbulence, to urban spatial networks, their impact on poverty and environments, analysis of complex networks, data analysis of economic, inequality and politics data, big data analytics, survival analysis and modelling of evolutionary biology and ecology.
This book explores recent developments in theoretical research and data analysis of real-world complex systems, organized in three parts, namely
Entropy, information, and complexity functions
Multistability, oscillations, and rhythmic synchronization
Diffusions, rotation, and convection in fluids
The collection of works devoted to the memory of Professor Valentin Afraimovich provides a deep insight into the recent developments in complexity science by introducing new concepts, methods, and applications in nonlinear dynamical systems covering physical problems and mathematical modelling relevant to economics, genetics, engineering vibrations, as well as classic problems in physics, fluid and climate dynamics, and urban dynamics.
The book facilitates a better understanding of the mechanisms and phenomena in nonlinear dynamics and develops the corresponding mathematical theory to apply nonlinear design to practical engineering. It can be read by mathematicians, physicists, complex systems scientists, IT specialists, civil engineers, data scientists, and urban planners.