PARTIAL DIFFERENTIAL EQUATIONS: TOPICS IN FOURIER ANALYSIS

WONG

ISBN 10: 1466584017 / ISBN 13: 9781466584013

Published by Chapman and Hall/CRC, 2013

About this Item

Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.

Seller Inventory # ABNR-5758

Bibliographic Details

• Title: PARTIAL DIFFERENTIAL EQUATIONS: TOPICS IN FOURIER ANALYSIS
• Publisher: Chapman and Hall/CRC
• Publication Date: 2013
• Language: English
• ISBN 10: 1466584017
• ISBN 13: 9781466584013
• Binding: Soft cover
• Edition: International Edition
• Condition: New

About this title

Synopsis

Partial Differential Equations: Topics in Fourier Analysis explains how to use the Fourier transform and heuristic methods to obtain significant insight into the solutions of standard PDE models. It shows how this powerful approach is valuable in getting plausible answers that can then be justified by modern analysis.

Using Fourier analysis, the text constructs explicit formulas for solving PDEs governed by canonical operators related to the Laplacian on the Euclidean space. After presenting background material, it focuses on:

• Second-order equations governed by the Laplacian on Rn
• The Hermite operator and corresponding equation
• The sub-Laplacian on the Heisenberg group

Designed for a one-semester course, this text provides a bridge between the standard PDE course for undergraduate students in science and engineering and the PDE course for graduate students in mathematics who are pursuing a research career in analysis. Through its coverage of fundamental examples of PDEs, the book prepares students for studying more advanced topics such as pseudo-differential operators. It also helps them appreciate PDEs as beautiful structures in analysis, rather than a bunch of isolated ad-hoc techniques.

About the Author

M.W. Wong is a professor in and former chair of the Department of Mathematics and Statistics at York University in Toronto, Canada. From 2005 to 2009, he was president of the International Society for Analysis, its Applications and Computations (ISAAC).