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Overview of discrete dynamical systems, focusing on the simplest one- dimensional case, where the dynamics are given by iterating a function. A discrete dynamical system, discrete-time dynamical system, map or cascade is a tuple (T, M, Φ) where T is the set.

Please try again later. If you've had a few semesters of undergraduate math courses under your belt, you might find this book almost laughably easy. It reads like a high school text, and the end-of-chapter problems are about as straightforward as it gets.

It's refreshing to work through a math book that has actual numbers in the problem solutions. However, it does explains dynamical systems systematically and rigorously, covering simple linear difference equations, nonlinear difference equations, bifurcations, and chaos, with a bit on fractals at the end.

He draws examples from genetics, finance, stochastic processes, ecology, and other interesting areas. I haven't finished the book yet, but from what I've read so far, Sandefur sticks to discrete systems as advertised in the title of one or a few difference equations.

Personally, I like this approach, because I prefer to digest the theorems and properties of dynamical systems in simple examples and usage before extending the framework to include continuous linear systems. The downside of this approach is that if you intend to become a dynamical systems expert, you would probably need further study. Francis Moon's book is a nice practical, intermediate-level book with lots of pictures and applications.

Some systems have a natural measure, such as the Liouville measure in Hamiltonian systems , chosen over other invariant measures, such as the measures supported on periodic orbits of the Hamiltonian system. For many dissipative chaotic systems the choice of invariant measure is technically more challenging.

The measure needs to be supported on the attractor , but attractors have zero Lebesgue measure and the invariant measures must be singular with respect to the Lebesgue measure. For hyperbolic dynamical systems, the Sinai—Ruelle—Bowen measures appear to be the natural choice. They are constructed on the geometrical structure of stable and unstable manifolds of the dynamical system; they behave physically under small perturbations; and they explain many of the observed statistics of hyperbolic systems.

The concept of evolution in time is central to the theory of dynamical systems as seen in the previous sections: Some formal manipulation of the system of differential equations shown above gives a more general form of equations a dynamical system must satisfy. In compact dynamical systems the limit set of any orbit is non-empty , compact and simply connected. From Wikipedia, the free encyclopedia.

This article presents the many ways to define a dynamical system. See the main article, dynamical system , for an overview of the topic.

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