Multivariable Analysis

Multivariable Analysis

by SatishShirali (Author), HarkrishanLalVasudeva (Author)

Synopsis

This book provides a rigorous treatment of multivariable differential and integral calculus. Implicit function theorem and the inverse function theorem based on total derivatives is explained along with the results and the connection to solving systems of equations. There is an extensive treatment of extrema, including constrained extrema and Lagrange multipliers, covering both first order necessary conditions and second order sufficient conditions. The material on Riemann integration in n dimensions, being delicate by its very nature, is discussed in detail. Differential forms and the general Stokes' Theorem are expounded in the last chapter. With a focus on clarity rather than brevity, this text gives clear motivation, definitions and examples with transparent proofs. Much of the material included is published for the first time in textbook form, for example Schwarz' Theorem in Chapter 2 and double sequences and sufficient conditions for constrained extrema in Chapter 4. A wide selection of problems, ranging from simple to more challenging, are included with carefully formed solutions. Ideal as a classroom text or a self study resource for students, this book will appeal to higher level undergraduates in Mathematics.

$73.01

Quantity

10 in stock

More Information

Format: Paperback
Pages: 398
Edition: 1st Edition.
Publisher: Springer
Published: 20 Dec 2010

ISBN 10: 0857291912
ISBN 13: 9780857291912

Media Reviews

From the reviews:

This is a textbook for a rigorous multivariable analysis course, intended for an undergraduate audience of juniors and seniors ... . The book also includes some material not easily found in the existing literature. ... also contains detailed solutions to many of its exercise; in fact, almost one-quarter of the book is devoted to solutions. ... the book very attractive to people interested in self-study, as well as to instructors using different books who are looking for a source of additional problems for their classes. (Mark Hunacek, The Mathematical Association of America, November, 2011)