Dimensions, embeddings, and attractors

Bibliographic Information

Dimensions, embeddings, and attractors

James C. Robinson

(Cambridge tracts in mathematics, 186)

Cambridge University Press, 2011

  • : hardback

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Note

Includes bibliographical references (p. 196-201) and index

Description and Table of Contents

Description

This accessible research monograph investigates how 'finite-dimensional' sets can be embedded into finite-dimensional Euclidean spaces. The first part brings together a number of abstract embedding results, and provides a unified treatment of four definitions of dimension that arise in disparate fields: Lebesgue covering dimension (from classical 'dimension theory'), Hausdorff dimension (from geometric measure theory), upper box-counting dimension (from dynamical systems), and Assouad dimension (from the theory of metric spaces). These abstract embedding results are applied in the second part of the book to the finite-dimensional global attractors that arise in certain infinite-dimensional dynamical systems, deducing practical consequences from the existence of such attractors: a version of the Takens time-delay embedding theorem valid in spatially extended systems, and a result on parametrisation by point values. This book will appeal to all researchers with an interest in dimension theory, particularly those working in dynamical systems.

Table of Contents

  • Preface
  • Introduction
  • Part I. Finite-Dimensional Sets: 1. Lebesgue covering dimension
  • 2. Hausdorff measure and Hausdorff dimension
  • 3. Box-counting dimension
  • 4. An embedding theorem for subsets of RN
  • 5. Prevalence, probe spaces, and a crucial inequality
  • 6. Embedding sets with dH(X-X) finite
  • 7. Thickness exponents
  • 8. Embedding sets of finite box-counting dimension
  • 9. Assouad dimension
  • Part II. Finite-Dimensional Attractors: 10. Partial differential equations and nonlinear semigroups
  • 11. Attracting sets in infinite-dimensional systems
  • 12. Bounding the box-counting dimension of attractors
  • 13. Thickness exponents of attractors
  • 14. The Takens time-delay embedding theorem
  • 15. Parametrisation of attractors via point values
  • Solutions to exercises
  • References
  • Index.

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