Hardcover
Part one of a text on multidimensional real analysis. Numerous exercises with partial solutions.

$246.35

  • Hardcover

    444 pages

  • Release Date

    6 May 2004

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Summary

Part one of the authors’ comprehensive and innovative work on multidimensional real analysis. This book is based on extensive teaching experience at Utrecht University and gives a thorough account of differential analysis in multidimensional Euclidean space. It is an ideal preparation for students who wish to go on to more advanced study. The notation is carefully organized and all proofs are clean, complete and rigorous. The authors have taken care to pay proper attention to all aspects of the theory. In many respects this book presents an original treatment of the subject and it contains many results and exercises that cannot be found elsewhere. The numerous exercises illustrate a variety of applications in mathematics and physics. This combined with the exhaustive and transparent treatment of subject matter make the book ideal as either the text for a course, a source of problems for a seminar or for self study.

Book Details

ISBN-13:9780521551144
ISBN-10:0521551145
Author:J.J. Duistermaat, J.A.C. Kolk, J.P. van Braam Houckgeest
Publisher:Cambridge University Press
Imprint:Cambridge University Press
Format:Hardcover
Number of Pages:444
Release Date:6 May 2004
Weight:707g
Dimensions:27mm x 158mm x 235mm
Series:Cambridge Studies in Advanced Mathematics
A-Format
B-Format
C-Format
Multidimensional Real Analysis I by J.J. Duistermaat - ISBN: 9780521551144
158 × 235 mm
A4
mm / in
What They're Saying

Critics Review

‘Throughout the notation is carefully organized and all proofs are complete and rigorous. The text is completed by carefully worked examples, many of them are illustrated by drawings. A special feature of the book is the extensive collection of exercises … The book is a good preparation for readers who wish to go on to more advanced studies in analysis. It can be also highly recommended as a text for a course or for self study.’ Zentralblatt fur Mathematik

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