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020			_a9781470425807
040			_aNISER LIBRARY _beng _cNISER LIBRARY _d
041			_aEnglish
082			_a517.91 _bROB-I
100			_aRobinson, R. Clark _q(Rex Clark),
245			_aIntroduction to dynamical systems : _bcontinuous and discrete
250			_a2nd ed.
260			_aHyderabad : _bUniversities Press, _c2012.
300			_axx, 733p. : _billustrations ; _c26 cm.
440			_a
490			_aPure and applied undergraduate texts ; _v19
504			_aIncludes bibliographical references (pages 721-726) and index.
520			_aThis 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
521			_aUndergraduate and graduate students interested in dynamical systems.
650			_aDifferentiable dynamical systems.
650			_aNonlinear theories.
650			_aChaotic behavior in systems.
650			_aOrdinary differential equations -- Qualitative theory -- Qualitative theory.
650			_aDynamical systems and ergodic theory -- Smooth dynamical systems: general theory -- Smooth dynamical systems: general theory.
650			_aDynamical systems with hyperbolic behavior
650			_aMechanics of particles and systems -- Nonlinear dynamics -- Nonlinear dynamics.
856			_3Table of Contents _uhttps://www.ams.org/bookstore/pspdf/amstext-19-toc.pdf?_gl=1*na2bg5*_ga*OTY4OTA1OTY3LjE3MTc5OTU1MTY.*_ga_26G4XFTR63*MTcxODQ1NjE2Mi4yLjEuMTcxODQ1NzQ4OS4wLjAuMA..
856			_3Reviews _uhttps://www.goodreads.com/book/show/16700839-an-introduction-to-dynamical-systems?from_search=true&from_srp=true&qid=DOgkLS49Zk&rank=1#CommunityReviews
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