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portadaDynamics and Bifurcation in Networks. Theory and Applications of Coupled Differential Equations
Type
Physical Book
Publisher
Author
Collection
Other Titles in Applied Mathematics
Year
2023
Language
English
Pages
836
Format
Hardcover
ISBN13
9781611977325

Dynamics and Bifurcation in Networks. Theory and Applications of Coupled Differential Equations

Martin Golubitsky;Ian Stewart (Author) · SIAM - Society for Industrial and Applied Mathematics ·Hardcover

Dynamics and Bifurcation in Networks. Theory and Applications of Coupled Differential Equations -Martin Golubitsky;Ian Stewart

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Synopsis "Dynamics and Bifurcation in Networks. Theory and Applications of Coupled Differential Equations"

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.

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.

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