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A Course in Mathematical Analysis

A Course in Mathematical Analysis

A Course in Mathematical Analysis

Volume 3: Complex Analysis, Measure and Integration
D. J. H. Garling, University of Cambridge
May 2014
3. Complex Analysis, Measure and Integration
Paperback
9781107663305

    The three volumes of A Course in Mathematical Analysis provide a full and detailed account of all those elements of real and complex analysis that an undergraduate mathematics student can expect to encounter in the first two or three years of study. Containing hundreds of exercises, examples and applications, these books will become an invaluable resource for both students and instructors. Volume 1 focuses on the analysis of real-valued functions of a real variable. Volume 2 goes on to consider metric and topological spaces. This third volume develops the classical theory of functions of a complex variable. It carefully establishes the properties of the complex plane, including a proof of the Jordan curve theorem. Lebesgue measure is introduced, and is used as a model for other measure spaces, where the theory of integration is developed. The Radon–Nikodym theorem is proved, and the differentiation of measures discussed.

    • Developed from the author's own undergraduate courses taught at the University of Cambridge
    • Over 250 exercises challenge the reader to learn through practice
    • Useful background reading for a wide range of courses in mathematics

    Product details

    May 2014
    Paperback
    9781107663305
    329 pages
    247 × 173 × 17 mm
    0.61kg
    20 b/w illus. 270 exercises
    Available

    Table of Contents

    • Introduction
    • Part I. Complex Analysis:
    • 1. Holomorphic functions and analytic functions
    • 2. The topology of the complex plane
    • 3. Complex integration
    • 4. Zeros and singularities
    • 5. The calculus of residues
    • 6. Conformal transformations
    • 7. Applications
    • Part II. Measure and Integration:
    • 8. Lebesgue measure on R
    • 9. Measurable spaces and measurable functions
    • 10. Integration
    • 11. Constructing measures
    • 12. Signed measures and complex measures
    • 13. Measures on metric spaces
    • 14. Differentiation
    • 15. Applications
    • Index.
    Resources for
    Type
    Find errata for this book on the author's website