Harmonic Analysis: From Fourier to Wavelets (Student Mathematical Library) (Student Mathematical Library - IAS/Park City Mathematical Subseries)

Description

In the last 200 years, harmonic analysis has been one of the most influential bodies of mathematical ideas, having been exceptionally significant both in its theoretical implications and in its enormous range of applicability throughout mathematics, science, and engineering. In this book, the authors convey the remarkable beauty and applicability of the ideas that have grown from Fourier theory. They present for an advanced undergraduate and beginning graduate student audience the basics of harmonic analysis, from Fourier's study of the heat equation, and the decomposition of functions into sums of cosines and sines (frequency analysis), to dyadic harmonic analysis, and the decomposition of functions into a Haar basis (time localization). While concentrating on the Fourier and Haar cases, the book touches on aspects of the world that lies between these two different ways of decomposing functions: time-frequency analysis (wavelets). Both finite and continuous perspectives are presented, allowing for the introduction of discrete Fourier and Haar transforms and fast algorithms, such as the Fast Fourier Transform (FFT) and its wavelet analogues. The approach combines rigorous proof, inviting motivation, and numerous applications. Over 250 exercises are included in the text. Each chapter ends with ideas for projects in harmonic analysis that students can work on independently. This book is published in cooperation with IAS/Park City Mathematics Institute. Cover Title page Contents List of figures List of tables IAS/Park City Mathematics Institute Preface Fourier series: Some motivation Interlude: Analysis concepts Pointwise convergence of Fourier series Summability methods Mean-square convergence of Fourier series A tour of discrete Fourier and Haar analysis The Fourier transform in paradise Beyond paradise From Fourier to wavelets, emphasizing Haar Zooming properties of wavelets Calculating with wavelets The Hilbert transform Useful tools Alexander’s dragon Bibliography Name index Subject index Back Cover