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In recent years, there has been an explosion of interest in network-based modeling in many branches of science. This book synthesizes some of the common features of many such models, providing a general framework analogous to the modern theory of nonlinear dynamical systems. How networks lead to behavior not typical in a general dynamical system and how the architecture and symmetry of the network influence this behavior are the book’s main themes. Dynamics and Bifurcation in Networks: Theory and Applications of Coupled Differential Equations is the first book to describe the formalism for network dynamics developed over the past 20 years. In it, the authors introduce a definition of a network and the associated class of “admissible” ordinary differential equations, in terms of a directed graph whose nodes represent component dynamical systems and whose arrows represent couplings between these systems. They also develop connections between network architecture and the typical dynamics and bifurcations of these equations and discuss applications of this formalism to various areas of science, including gene regulatory networks, animal locomotion, decision-making, homeostasis, binocular rivalry, and visual illusions. This book will be of interest to scientific researchers in any area that uses network models, which includes many parts of biology, physics, chemistry, computer science, electrical and electronic engineering, psychology, and sociology.
Martin Golubitsky is on the Emeritus Faculty of The Ohio State University where he served as Distinguished Professor of Mathematical and Physical Sciences. Formerly, he was Cullen Distinguished Professor of Mathematics at the University of Houston. He is author or co-author of more than 150 publications on Lie algebras, singularity theory, bifurcation theory, pattern formation, chaos, network dynamics, and applications, and he has coauthored six books on these topics. Professor Golubitsky is a Fellow of the American Academy of Arts and Sciences, AAAS, SIAM, and AMS. He was chair of the SIAM Activity Group on Dynamical Systems and of the AAAS Section A. He was director of the Mathematical Biosciences Institute, founding editor-in-chief of SIAM Journal on Applied Dynamical Systems, and president of SIAM. He has delivered more than 500 invited lectures. His awards include the UH Farfel Award, the SIAM Moser Lecture Prize, and the Rothschild Professorship and Lecture at the University of Cambridge. Ian Stewart, FRS, is Emeritus Professor of Mathematics at the University of Warwick. He is author or co-author of more than 200 research papers on Lie algebras, singularity theory, pattern formation, chaos, network dynamics, and biomathematics and has published more than 130 books. He is a Fellow of the Royal Society and served on Council, its governing body. He has five honorary doctorates. Professor Stewart wrote the Mathematical Recreations column for Scientific American from 1990 to 2001. He has made 90 television appearances and 450 radio broadcasts, most of them about mathematics for the general public, and has delivered hundreds of public lectures on mathematics. His awards include the Royal Society’s Faraday Medal, the Gold Medal of the Institute of Mathematics and its Applications, the Zeeman Medal (IMA and London Mathematical Society), the Lewis Thomas Prize (Rockefeller University), and the Euler Book Prize (Mathematical Association of America).
Publisher : SIAM - Society for Industrial and Applied Mathematics (April 24, 2023)
Language : English
Hardcover : 870 pages
ISBN-10 : 1611977320
ISBN-13 : 978-1611977325
