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This invaluable book examines qualitative and quantitative methods for nonlinear differential equations, as well as integrability and nonintegrability theory. Starting from the idea of a constant of motion for simple systems of differential equations, it investigates the essence of integrability, its geometrical relevance and dynamical consequences. Integrability theory is approached from different perspectives, first in terms of differential algebra, then in terms of complex time singularities and finally from the viewpoint of phase geometry (for both Hamiltonian and non-Hamiltonian systems)
Differentiable dynamical systems. --- Differential equations, Nonlinear. --- Nonlinear differential equations --- Nonlinear theories --- Differential dynamical systems --- Dynamical systems, Differentiable --- Dynamics, Differentiable --- Differential equations --- Global analysis (Mathematics) --- Topological dynamics
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This is a reprint of M C Irwin's beautiful book, first published in 1980. The material covered continues to provide the basis for current research in the mathematics of dynamical systems. The book is essential reading for all who want to master this area. Request Inspection Copy
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A systematic and comprehensive introduction to the study of nonlinear dynamical systems, in both discrete and continuous time, for nonmathematical students and researchers working in applied fields. An understanding of linear systems and the classical theory of stability are essential although basic reviews of the relevant material are provided. Further chapters are devoted to the stability of invariant sets, bifurcation theory, chaotic dynamics and the transition to chaos. In the final two chapters the authors approach the subject from a measure-theoretical point of view and compare results to those given for the geometrical or topological approach of the first eight chapters. Includes about one hundred exercises. A Windows-compatible software programme called DMC, provided free of charge through a website dedicated to the book, allows readers to perform numerical and graphical analysis of dynamical systems. Also available on the website are computer exercises and solutions to selected book exercises. See www.cambridge.org/economics/resources
Operational research. Game theory --- Differentiable dynamical systems. --- Nonlinear theories. --- Differentiable dynamical systems --- Nonlinear theories --- Mathematics --- Physical Sciences & Mathematics --- Geometry --- 515.352 --- Nonlinear problems --- Nonlinearity (Mathematics) --- Calculus --- Mathematical analysis --- Mathematical physics --- Differential dynamical systems --- Dynamical systems, Differentiable --- Dynamics, Differentiable --- Differential equations --- Global analysis (Mathematics) --- Topological dynamics --- Dynamique différentiable --- Théories non linéaires --- Systèmes dynamiques --- Business, Economy and Management --- Economics
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use back cover copy* A 'down-to-earth' introduction to the growing field of modern mathematical biology* Also includes appendices which provide background material that goes beyond advanced calculus and linear algebra
Biology. --- Biology--Mathematical models. Differentiable dynamical systems. --- Biometry. --- Differentiable dynamical systems. --- Mathematical models. --- Population biology. --- Biology --- Differentiable dynamical systems --- Health & Biological Sciences --- Biology - General --- Mathematical models --- Differential dynamical systems --- Dynamical systems, Differentiable --- Dynamics, Differentiable --- Differential equations --- Global analysis (Mathematics) --- Topological dynamics --- Biological models --- Biomathematics
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Differential equations --- Classical mechanics. Field theory --- Differentiable dynamical systems --- Lagrange equations --- Variational principles --- Extremum principles --- Minimal principles --- Variation principles --- Calculus of variations --- D'Alembert equation --- Equations, Euler-Lagrange --- Equations, Lagrange --- Euler-Lagrange equations --- Lagrangian equations --- Equations of motion --- Differential dynamical systems --- Dynamical systems, Differentiable --- Dynamics, Differentiable --- Global analysis (Mathematics) --- Topological dynamics --- Lagrange equations. --- Lagrange, Équations de --- Differentiable dynamical systems. --- Systèmes dynamiques --- Variational principles. --- Principes variationnels --- Lagrange, Équations de. --- Systèmes dynamiques. --- Principes variationnels.
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"The text treats a remarkable spectrum of topics and has a little for everyone. It can serve as an introduction to many of the topics of dynamical systems, and will help even the most jaded reader, such as this reviewer, enjoy some of the interactive aspects of studying dynamics using Maple." —UK Nonlinear News (Review of First Edition) "The book will be useful for all kinds of dynamical systems courses…. [It] shows the power of using a computer algebra program to study dynamical systems, and, by giving so many worked examples, provides ample opportunity for experiments. … [It] is well written and a pleasure to read, which is helped by its attention to historical background." —Mathematical Reviews (Review of First Edition) Since the first edition of this book was published in 2001, Maple™ has evolved from Maple V into Maple 13. Accordingly, this new edition has been thoroughly updated and expanded to include more applications, examples, and exercises, all with solutions; two new chapters on neural networks and simulation have also been added. There are also new sections on perturbation methods, normal forms, Gröbner bases, and chaos synchronization. The work provides an introduction to the theory of dynamical systems with the aid of Maple. The author has emphasized breadth of coverage rather than fine detail, and theorems with proof are kept to a minimum. Some of the topics treated are scarcely covered elsewhere. Common themes such as bifurcation, bistability, chaos, instability, multistability, and periodicity run through several chapters. The book has a hands-on approach, using Maple as a pedagogical tool throughout. Maple worksheet files are listed at the end of each chapter, and along with commands, programs, and output may be viewed in color at the author’s website. Additional applications and further links of interest may be found at Maplesoft’s Application Center. Dynamical Systems with Applications using Maple is aimed at senior undergraduates, graduate students, and working scientists in various branches of applied mathematics, the natural sciences, and engineering. ISBN 978-0-8176-4389-8 § Also by the author: Dynamical Systems with Applications using MATLAB®, ISBN 978-0-8176-4321-8 Dynamical Systems with Applications using Mathematica®, ISBN 978-0-8176-4482-6.
Programming --- Differential geometry. Global analysis --- Differentiable dynamical systems --- Data processing. --- Maple (Computer file). --- Mathematics --- Engineering & Applied Sciences --- Physical Sciences & Mathematics --- Applied Mathematics --- Geometry --- Data processing --- 519.68 --- Differential dynamical systems --- Dynamical systems, Differentiable --- Dynamics, Differentiable --- Differential equations --- Global analysis (Mathematics) --- Topological dynamics --- 519.68 Computer programming --- Computer programming --- Maple (Computer file) --- Computer science --- Mathematics. --- Differential Equations. --- Engineering. --- Theoretical, Mathematical and Computational Physics. --- Computational Mathematics and Numerical Analysis. --- Mathematical Modeling and Industrial Mathematics. --- Applications of Mathematics. --- Ordinary Differential Equations. --- Complexity. --- Construction --- Industrial arts --- Technology --- 517.91 Differential equations --- Math --- Science --- Computer mathematics --- Discrete mathematics --- Electronic data processing --- Mathematical physics. --- Computer mathematics. --- Mathematical models. --- Applied mathematics. --- Engineering mathematics. --- Differential equations. --- Computational complexity. --- Complexity, Computational --- Machine theory --- Engineering --- Engineering analysis --- Mathematical analysis --- Models, Mathematical --- Simulation methods --- Physical mathematics --- Physics --- Differentiable dynamical systems - Data processing.
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This book summarizes and highlights progress in our understanding of Dy namical Systems during six years of the German Priority Research Program "Ergodic Theory, Analysis, and Efficient Simulation of Dynamical Systems" . The program was funded by the Deutsche Forschungsgemeinschaft (DFG) and aimed at combining, focussing, and enhancing research efforts of active groups in the field by cooperation on a federal level. The surveys in the book are addressed to experts and non-experts in the mathematical community alike. In addition they intend to convey the significance of the results for applications far into the neighboring disciplines of Science. Three fundamental topics in Dynamical Systems are at the core of our research effort: behavior for large time dimension measure, and chaos Each of these topics is, of course, a highly complex problem area in itself and does not fit naturally into the deplorably traditional confines of any of the disciplines of ergodic theory, analysis, or numerical analysis alone. The necessity of mathematical cooperation between these three disciplines is quite obvious when facing the formidahle task of establishing a bidirectional transfer which bridges the gap between deep, detailed theoretical insight and relevant, specific applications. Both analysis and numerical analysis playa key role when it comes to huilding that bridge. Some steps of our joint bridging efforts are collected in this volume. Neither our approach nor the presentations in this volume are monolithic.
Differentiable dynamical systems --- Ordinary differential equations --- 519.2 --- Ergodic theory --- Mathematical analysis --- 681.3*I6 --- 681.3*I6 Simulation and modeling (Computing methodologies)--See also {681.3*G3} --- Simulation and modeling (Computing methodologies)--See also {681.3*G3} --- 517.1 Mathematical analysis --- Ergodic transformations --- Continuous groups --- Mathematical physics --- Measure theory --- Transformations (Mathematics) --- Differential dynamical systems --- Dynamical systems, Differentiable --- Dynamics, Differentiable --- Differential equations --- Global analysis (Mathematics) --- Topological dynamics --- 519.2 Probability. Mathematical statistics --- Probability. Mathematical statistics --- Differentiable dynamical systems. --- Ergodic theory. --- Mathematical analysis. --- Dynamique différentiable --- Théorie ergodique --- Analyse mathématique --- 517.1. --- Applied mathematics. --- Engineering mathematics. --- Analysis (Mathematics). --- Statistical physics. --- Dynamical systems. --- Probabilities. --- Applications of Mathematics. --- Analysis. --- Complex Systems. --- Probability Theory and Stochastic Processes. --- Statistical Physics and Dynamical Systems. --- Probability --- Statistical inference --- Combinations --- Mathematics --- Chance --- Least squares --- Mathematical statistics --- Risk --- Dynamical systems --- Kinetics --- Mechanics, Analytic --- Force and energy --- Mechanics --- Physics --- Statics --- Engineering --- Engineering analysis --- Statistical methods --- 517.1
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