An Introduction to Dynamical Systems: Continuous and Discrete
American Mathematical Soc., 2012 - 733 pages
This book gives a mathematical treatment of the introduction to qualitative differential equations and discrete dynamical systems. The treatment includes theoretical proofs, methods of calculation, and applications. The two parts of the book, continuous time of differential equations and discrete time of dynamical systems, can be covered independently in one semester each or combined together into a year long course. The material on differential equations introduces the qualitative or geometric approach through a treatment of linear systems in any dimension. There follows chapters where equilibria are the most important feature, where scalar (energy) functions is the principal tool, where periodic orbits appear, and finally, chaotic systems of differential equations. The many different approaches are systematically introduced through examples and theorems. The material on discrete dynamical systems starts with maps of one variable and proceeds to systems in higher dimensions. The treatment starts with examples where the periodic points can be found explicitly and then introduces symbolic dynamics to analyze where they can be shown to exist but not given in explicit form. Chaotic systems are presented both mathematically and more computationally using Lyapunov exponents. With the one-dimensional maps as models, the multidimensional maps cover the same material in higher dimensions. This higher dimensional material is less computational and more conceptual and theoretical. The final chapter on fractals introduces various dimensions which is another computational tool for measuring the complexity of a system. It also treats iterated function systems which give examples of complicated sets. In the second edition of the book, much of the material has been rewritten to clarify the presentation. Also, some new material has been included in both parts of the book. This book can be used as a textbook for an advanced undergraduate course on ordinary differential equations and/or dynamical systems. Prerequisites are standard courses in calculus (single variable and multivariable), linear algebra, and introductory differential equations.
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Solutions of Nonlinear Equations
Phase Portraits with Emphasis on Fixed Points
Phase Portraits Using Scalar Functions
Iteration of Functions as Dynamics
Periodic Points of OneDimensional Maps
Itineraries for OneDimensional Maps
asymptotically stable attracting set basin of attraction bifurcation box dimension called Cantor set chaotic attractor conjugacy Consider the system constant contains converge coordinates curve deﬁned Definition dense dependence on initial determine diagonal differential equations dynamics eigenvalues eigenvector end points equal Example Figure ﬁrst fixed point function give given goes to infinity goes to zero Hénon map homoclinic initial condition x0 integer intersection interval invariant set iterates Lemma linear map linear system logistic map Lyapunov exponents map F Markov partition matrix of partial measure negative nonlinear nullclines origin parameter values partial derivatives period-n periodic orbit periodic points phase portrait plot Poincaré map point x0 population positively invariant proof repelling saddle Section sensitive dependence solution stable and unstable subset symbol sequence system of differential tent map Theorem trajectory transition graph trapping region unstable manifolds variables vector