Sobolev Spaces on Metric Measure Spaces
eBook - PDF

Sobolev Spaces on Metric Measure Spaces

An Approach Based on Upper Gradients

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Sobolev Spaces on Metric Measure Spaces

An Approach Based on Upper Gradients

About this book

Analysis on metric spaces emerged in the 1990s as an independent research field providing a unified treatment of first-order analysis in diverse and potentially nonsmooth settings. Based on the fundamental concept of upper gradient, the notion of a Sobolev function was formulated in the setting of metric measure spaces supporting a Poincaré inequality. This coherent treatment from first principles is an ideal introduction to the subject for graduate students and a useful reference for experts. It presents the foundations of the theory of such first-order Sobolev spaces, then explores geometric implications of the critical Poincaré inequality, and indicates numerous examples of spaces satisfying this axiom. A distinguishing feature of the book is its focus on vector-valued Sobolev spaces. The final chapters include proofs of several landmark theorems, including Cheeger's stability theorem for Poincaré inequalities under Gromov–Hausdorff convergence, and the Keith–Zhong self-improvement theorem for Poincaré inequalities.

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Yes, you can access Sobolev Spaces on Metric Measure Spaces by Juha Heinonen,Pekka Koskela,Nageswari Shanmugalingam,Jeremy T. Tyson in PDF and/or ePUB format, as well as other popular books in Mathematics & Abstract Algebra. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half-title
  3. Series information
  4. Title page
  5. Copyright information
  6. Dedication
  7. Table of contents
  8. Preface
  9. 1 Introduction
  10. 2 Review of basic functional analysis
  11. 3 Lebesgue theory of Banach space-valued functions
  12. 4 Lipschitz functions and embeddings
  13. 5 Path integrals and modulus
  14. 6 Upper gradients
  15. 7 Sobolev spaces
  16. 8 Poincaré inequalities
  17. 9 Consequences of Poincaré inequalities
  18. 10 Other definitions of Sobolev-type spaces
  19. 11 Gromov–Hausdorff convergence and Poincaré inequalities
  20. 12 Self-improvement of Poincaré inequalities
  21. 13 An introduction to Cheeger's differentiation theory
  22. 14 Examples, applications, and furtherresearch directions
  23. References
  24. Notation index
  25. Subject index