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Attractor Dimension Estimates for Dynamical Systems: Theory and Computation

Dedicated to Gennady Leonov

  • Provides a systematic presentation of research activities in the dimension theory of dynamical systems in finite-dimensional Euclidean spaces and manifolds
  • Investigates global attractors and invariant sets for dynamical systems by means of Lyapunov functions and adapted metrics
  • Presents theory and simulations on attractor dimension estimates for dynamical systems

Part of the book series: Emergence, Complexity and Computation (ECC, volume 38)

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Table of contents (10 chapters)

  1. Front Matter

    Pages i-xix
  2. Basic Elements of Attractor and Dimension Theories

    1. Front Matter

      Pages 1-1
    2. Attractors and Lyapunov Functions

      • Nikolay Kuznetsov, Volker Reitmann
      Pages 3-40
    3. Singular Values, Exterior Calculus and Logarithmic Norms

      • Nikolay Kuznetsov, Volker Reitmann
      Pages 41-93
    4. Introduction to Dimension Theory

      • Nikolay Kuznetsov, Volker Reitmann
      Pages 95-146
  3. Dimension Estimates for Almost Periodic Flows and Dynamical Systems in Euclidean Spaces

    1. Front Matter

      Pages 147-147
    2. Dimensional Aspects of Almost Periodic Dynamics

      • Nikolay Kuznetsov, Volker Reitmann
      Pages 149-190
    3. Dimension and Entropy Estimates for Dynamical Systems

      • Nikolay Kuznetsov, Volker Reitmann
      Pages 191-256
    4. Lyapunov Dimension for Dynamical Systems in Euclidean Spaces

      • Nikolay Kuznetsov, Volker Reitmann
      Pages 257-305
  4. Dimension Estimates on Riemannian Manifolds

    1. Front Matter

      Pages 307-307
    2. Basic Concepts for Dimension Estimation on Manifolds

      • Nikolay Kuznetsov, Volker Reitmann
      Pages 309-363
    3. Dimension Estimates on Manifolds

      • Nikolay Kuznetsov, Volker Reitmann
      Pages 365-409
    4. Dimension and Entropy Estimates for Global Attractors of Cocycles

      • Nikolay Kuznetsov, Volker Reitmann
      Pages 411-456
  5. Back Matter

    Pages 509-545

About this book

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.

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)

Authors and Affiliations

  • Department of Applied Cybernetics, Faculty of Mathematics and Mechanics, St. Petersburg State University, St.Petersburg, Russia

    Nikolay Kuznetsov

  • Department of Applied Cybernetics, Faculty of Mathematics and Mechanics, St. Petersburg State University, St. Petersburg, Russia

    Volker Reitmann

Bibliographic Information

  • Book Title: Attractor Dimension Estimates for Dynamical Systems: Theory and Computation

  • Book Subtitle: Dedicated to Gennady Leonov

  • Authors: Nikolay Kuznetsov, Volker Reitmann

  • Series Title: Emergence, Complexity and Computation

  • DOI: https://doi.org/10.1007/978-3-030-50987-3

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021

  • Hardcover ISBN: 978-3-030-50986-6Published: 03 July 2020

  • Softcover ISBN: 978-3-030-50989-7Published: 03 July 2021

  • eBook ISBN: 978-3-030-50987-3Published: 02 July 2020

  • Series ISSN: 2194-7287

  • Series E-ISSN: 2194-7295

  • Edition Number: 1

  • Number of Pages: XIX, 545

  • Number of Illustrations: 24 b/w illustrations, 10 illustrations in colour

  • Topics: Theory of Computation, Applications of Nonlinear Dynamics and Chaos Theory, Complex Systems

Buy it now

Buying options

eBook USD 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 249.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 249.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access