Fourier Analysis and Partial Differential Equations

A 2001 introduction to Fourier analysis and partial differential equations; aimed at beginning graduate students.

Rafael José Iorio, Jr (Author), Valéria de Magalhães Iorio (Author)

9780521629096, Cambridge University Press

Paperback, published 19 July 2012

424 pages
22.9 x 15.2 x 2.4 cm, 0.62 kg

'Students and those beginning their academic career should find this text interesting and stimulating.' European Mathematical Society Newsletter

This book was first published in 2001. It provides an introduction to Fourier analysis and partial differential equations and is intended to be used with courses for beginning graduate students. With minimal prerequisites the authors take the reader from fundamentals to research topics in the area of nonlinear evolution equations. The first part of the book consists of some very classical material, followed by a discussion of the theory of periodic distributions and the periodic Sobolev spaces. The authors then turn to the study of linear and nonlinear equations in the setting provided by periodic distributions. They assume only some familiarity with Banach and Hilbert spaces and the elementary properties of bounded linear operators. After presenting a fairly complete discussion of local and global well-posedness for the nonlinear Schrödinger and the Korteweg-de Vries equations, they turn their attention, in the two final chapters, to the non-periodic setting, concentrating on problems that do not occur in the periodic case.

Part I. Fourier Series and Periodic Distributions: 1. Preliminaries
2. Fourier series: basic theory
3. Periodic distributions and Sobolev spaces
Part II. Applications to Partial Differential Equations: 4. Linear equations
5. Nonlinear evolution equations
6. The Korteweg-de Vries
Part III. Some Nonperiodic Problems: 7. Distributions, Fourier transforms and linear equations
8. KdV, BO and friends
Appendix A. Tools from the theory of ODEs
Appendix B. Commutator estimates
Bibliography
Index.

Subject Areas: Probability & statistics [PBT]