Attractor Dimension Estimates for Dynamical Systems: Theory and Computation: Dedicated to Gennady Leonov

Author:   Nikolay Kuznetsov ,  Volker Reitmann
Publisher:   Springer Nature Switzerland AG
Edition:   1st ed. 2021
Volume:   38
ISBN:  

9783030509897


Pages:   545
Publication Date:   03 July 2021
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Attractor Dimension Estimates for Dynamical Systems: Theory and Computation: Dedicated to Gennady Leonov


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Overview

This book provides analytical and numerical methods for the estimation of dimension characteristics (Hausdorff, Fractal, Carathéodory dimensions) for attractors and invariant sets of dynamical systems and cocycles generated by smooth differential equations or maps in finite-dimensional Euclidean spaces or on manifolds. It also discusses stability investigations using estimates based on Lyapunov functions and adapted metrics. Moreover, it introduces various types of Lyapunov dimensions of dynamical systems with respect to an invariant set, based on local, global and uniform Lyapunov exponents, and derives analytical formulas for the Lyapunov dimension of the attractors of the Hénon and Lorenz systems. Lastly, the book presents estimates of the topological entropy for general dynamical systems in metric spaces and estimates of the topological dimension for orbit closures of almost periodic solutions to differential equations.

Full Product Details

Author:   Nikolay Kuznetsov ,  Volker Reitmann
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2021
Volume:   38
Weight:   0.860kg
ISBN:  

9783030509897


ISBN 10:   3030509893
Pages:   545
Publication Date:   03 July 2021
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Attractors and Lyapunov Functions.- Singular Values, Exterior Calculus and Logarithmic Norms.- Introduction to Dimension Theory.  

Reviews

It is interesting and very well written. Mostly, chapters are self-contained and rich of detailed explanations. Many powerful computational tools and algorithms provide a solid numerical background for the study of attractor dimensions. ... this book contains advanced material on attractor dimension estimates for dynamical systems. This is definitely suitable for researchers in applied mathematics and computational theory of dynamical systems. (Mohammad Sajid, zbMATH 1483.37001, 2022)


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