
Sobolev Spaces on Metric Measure Spaces
An Approach Based on Upper Gradients
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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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Information
Table of contents
- Cover
- Half-title
- Series information
- Title page
- Copyright information
- Dedication
- Table of contents
- Preface
- 1 Introduction
- 2 Review of basic functional analysis
- 3 Lebesgue theory of Banach space-valued functions
- 4 Lipschitz functions and embeddings
- 5 Path integrals and modulus
- 6 Upper gradients
- 7 Sobolev spaces
- 8 Poincaré inequalities
- 9 Consequences of Poincaré inequalities
- 10 Other definitions of Sobolev-type spaces
- 11 Gromov–Hausdorff convergence and Poincaré inequalities
- 12 Self-improvement of Poincaré inequalities
- 13 An introduction to Cheeger's differentiation theory
- 14 Examples, applications, and furtherresearch directions
- References
- Notation index
- Subject index