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Attractor Dimension Estimates for Dynamical Systems : Theory and Computation

Year of publication

2020

Authors

Kuznetsov, Nikolay; Reitmann, Volker

Abstract

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.
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Organizations and authors

University of Jyväskylä

Kuznetsov Nikolay

Publication type

Publication format

Monograph

Audience

Scientific

Peer-reviewed

Peer-Reviewed

MINEDU's publication type classification code

C1 Scientific book

Publication channel information

Publisher

Springer

​Publication forum

5952

​Publication forum level

2

Open access

Open access in the publisher’s service

No

Self-archived

No

Other information

Fields of science

Mathematics

Keywords

[object Object],[object Object],[object Object],[object Object]

Publication country

Switzerland

Internationality of the publisher

International

Language

English

International co-publication

Yes

Co-publication with a company

No

DOI

10.1007/978-3-030-50987-3

The publication is included in the Ministry of Education and Culture’s Publication data collection

Yes