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A Course in Mathematical Analysis: Volume 3, Complex Analysis, Measure and Integration
Paperback / softback
Main Details
Title |
A Course in Mathematical Analysis: Volume 3, Complex Analysis, Measure and Integration
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Authors and Contributors |
By (author) D. J. H. Garling
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Physical Properties |
Format:Paperback / softback | Pages:329 | Dimensions(mm): Height 247,Width 173 |
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Category/Genre | Calculus and mathematical analysis |
ISBN/Barcode |
9781107663305
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Classifications | Dewey:515 |
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Audience | Tertiary Education (US: College) | Professional & Vocational | |
Illustrations |
Worked examples or Exercises; 5 Halftones, unspecified; 15 Line drawings, unspecified
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Publishing Details |
Publisher |
Cambridge University Press
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Imprint |
Cambridge University Press
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Publication Date |
22 May 2014 |
Publication Country |
United Kingdom
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Description
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.
Author Biography
D. J. H. Garling is Emeritus Reader in Mathematical Analysis at the University of Cambridge and Fellow of St John's College, Cambridge. He has fifty years' experience of teaching undergraduate students in most areas of pure mathematics, but particularly in analysis.
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