
Fourier Analysis and Nonlinear Partial Differential Equations
Description
It is either directed to anyone with a good undergraduate level of knowledge in analysis or useful for experts who are eager to know the benefit that one might gain from Fourier analysis when dealing with nonlinear partial differential equations.
Reviews / Votes
From the reviews:
"This book intends to prepare the reader how to apply tools from Fourier analysis to directly solve problems arising in the theory of non linear partial differential equations. ... The presentation is well structured and easy to follow. ... This is a textbook for advanced undergraduate or beginning graduate students with a good background in real and functional analysis. ... even active researchers or mathematicians interested in the application of Fourier-analytic tools will find this book very useful." (Peter R. Massopust, Mathematical Reviews, Issue 2011 m)
"The aim of the present monograph is to introduce methods from Fourier analysis, and in particular techniques based on the Littlewood-Paley decomposition, for the solution of nonlinear partial differential equations. ... The presentation is fairly self-contained and only requires a solid background in measure theory and functional analysis. It will be of value to both graduate students and researchers interested in application of Fourier analysis to partial differential equations." (G. Teschl, Monatshefte für Mathematik, Vol. 165 (3-4), March, 2012)
"This book is a well-written introduction to Fourier analysis, Littlewood-Paley theory and some of their applications to the theory of evolution equations. It is suitable for readers with a solid undergraduate background in analysis. A feature that distinguishes it from other books of this sort is its emphasis on using Littlewood-Paley decomposition to study nonlinear differential equations. ... the references, historical background, and discussion of possible future developments at the end of each chapter are very convenient for its readers." (Lijing Sun, Zentralblatt MATH, Vol. 1227, 2012)
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