The primary goal of this text is to present the theoretical
foundation of the field of Fourier analysis. This book is mainly
addressed to graduate students in mathematics and is designed to
serve for a three-course sequence on the subject. The only
prerequisite for understanding the text is satisfactory completion
of a course in measure theory, Lebesgue integration, and complex
variables. This book is intended to present the selected topics in
some depth and stimulate further study. Although the emphasis falls
on real variable methods in Euclidean spaces, a chapter is devoted
to the fundamentals of analysis on the torus. This material is
included for historical reasons, as the genesis of Fourier analysis
can be found in trigonometric expansions of periodic functions in
several variables.
While the 1st edition was published as a single volume, the new
edition will contain 120 pp of new material, with an additional
chapter on time-frequency analysis and other modern topics. As a
result, the book is now being published in 2 separate volumes, the
first volume containing the classical topics (Lp Spaces,
Littlewood-Paley Theory, Smoothness, etc...), the second volume
containing the modern topics (weighted inequalities, wavelets,
atomic decomposition, etc...).
From a review of the first edition:
"Grafakos's book is very user-friendly with numerous examples
illustrating the definitions and ideas. It is more suitable for
readers who want to get a feel for current research. The treatment
is thoroughly modern with free use of operators and functional
analysis. Morever, unlike many authors, Grafakos has clearly spent
a great deal of time preparing the exercises." - Ken Ross, MAA
Online
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