Introduction to measure and integration
Author(s)
Bibliographic Information
Introduction to measure and integration
Cambridge University Press, 1973, c1966
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Note
"First published as chs. 1-9 of Kingman and Taylor Introduction to measure and probability 1966."
Includes indexes
Description and Table of Contents
Description
This paperback, which comprises the first part of Introduction to Measure and Probability by J. F. C. Kingman and S. J. Taylor, gives a self-contained treatment of the theory of finite measures in general spaces at the undergraduate level. It sets the material out in a form which not only provides an introduction for intending specialists in measure theory but also meets the needs of students of probability. The theory of measure and integration is presented for general spaces, with Lebesgue measure and the Lebesgue integral considered as important examples whose special properties are obtained. The introduction to functional analysis which follows covers the material to probability theory and also the basic theory of L2-spaces, important in modern physics. A large number of examples is included; these form an essential part of the development.
Table of Contents
- Preface
- 1. Theory of sets
- 2. Point set topology
- 3. Set functions
- 4. Construction and properties of measure
- 5. Definitions and properties of the integral
- 6. Related Spaces and measures
- 7. The space of measurable functions
- 8. Linear functionals
- 9. Structure of measures in special spaces
- Index of notation
- General index.
by "Nielsen BookData"
