Uniform Spaces and Measures

This book details the theory of uniform spaces using pseudometrics. It features complete proofs, exercises as well as several new results. The book also presents diverse results from many sources organized in a logical whole.

This book addresses the need for an accessible comprehensive exposition of the theory of uniform measures; the need that became more critical when recently uniform measures reemerged in new results in abstract harmonic analysis. Until now, results about uniform measures have been scattered through many papers written by a number of authors, some unpublished, written using a variety of definitions and notations. Uniform measures are certain functionals on the space of bounded uniformly continuous functions on a uniform space. They are a common generalization of several classes of measures and measure-like functionals studied in abstract and topological measure theory, probability theory, and abstract harmonic analysis. They offer a natural framework for results about topologies on spaces of measures and about the continuity of convolution of measures on topological groups and semitopological semigroups. The book is a reference for the theory of uniform measures. It includes a self-contained development of the theory with complete proofs, starting with the necessary parts of the theory of uniform spaces. It presents diverse results from many sources organized in a logical whole, and includes several new results. The book is also suitable for graduate or advanced undergraduate courses on selected topics in topology and functional analysis. The text contains a number of exercises with solution hints, and four problems with suggestions for further research.

Presents a self-contained development of selected topics in the theory of uniform spaces using pseudometrics rather than the more common approach via entourages Contains exercises and research problems and can be used as supplementary text in graduate and advanced undergraduate courses Details the history of core concepts and links to key references to help the reader understand connections to related areas and explore other sources? Includes supplementary material: sn.pub/extras

Klappentext

Uniform Spaces and Measures addresses the need for an accessible and comprehensive exposition of the theory of uniform measures -- a need that became more critical when uniform measures recently reemerged in new results in abstract harmonic analysis. Until now, results about uniform measures have been scattered throughout many papers written by a number of authors, some unpublished, using a variety of definitions and notations.

Uniform measures are functionals on the space of bounded uniformly continuous functions on a uniform space. They are a common generalization of several classes of measures and measure-like functionals studied in topological measure theory, probability theory, and abstract harmonic analysis. They offer a natural framework for results about topologies on spaces of measures and about the continuity of convolution of measures on topological groups and semitopological semigroups.

This book can serve as a reference for the theory of uniform measures. It includes a self-contained development of the theory with complete proofs, starting with the necessary parts of the theory of uniform spaces. It also includes several new results, and presents diverse results from many sources organized in a logical whole. The content is also suitable for graduate or advanced undergraduate courses on selected topics in topology and functional analysis, and contains a number of exercises with hints to solutions as well as several open problems with suggestions for further research.

Inhalt
Prerequisites.- 1. Uniformities and Topologies.- 2. Induced Uniform Structures.- 3. Uniform Structures on Semigroups.- 4. Some Notable Classes of Uniform Spaces.- 5. Measures on Complete Metric Spaces.- 6. Uniform Measures.- 7. Uniform Measures as Measures.- 8. Instances of Uniform Measures.- 9. Direct Product and Convolution.- 10. Free Uniform Measures.- 11. Approximation of Probability Distributions.- 12. Measurable Functionals.- Hints to Excercises.- References.- Notation Index.- Author Index.- Subject Index.