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© 2008

Weighted Littlewood-Paley Theory and Exponential-Square Integrability

Book

Part of the Lecture Notes in Mathematics book series (LNM, volume 1924)

Table of contents

  1. Front Matter
    Pages I-XII
  2. Pages 1-7
  3. Pages 39-68
  4. Pages 145-150
  5. Pages 151-160
  6. Pages 161-188
  7. Pages 189-195
  8. Pages 213-218
  9. Back Matter
    Pages 219-228

About this book

Introduction

Littlewood-Paley theory is an essential tool of Fourier analysis, with applications and connections to PDEs, signal processing, and probability. It extends some of the benefits of orthogonality to situations where orthogonality doesn’t really make sense. It does so by letting us control certain oscillatory infinite series of functions in terms of infinite series of non-negative functions. Beginning in the 1980s, it was discovered that this control could be made much sharper than was previously suspected. The present book tries to give a gentle, well-motivated introduction to those discoveries, the methods behind them, their consequences, and some of their applications.

Keywords

Singular integral Square function exponential-square maximal function weighted inequality

Authors and affiliations

  1. 1.Department of MathematicsUniversity of VermontBurlingtonUSA

About the authors

Michael Wilson received his PhD in mathematics from UCLA in 1981. After post-docs at the University of Chicago and the University of Wisconsin (Madison), he came to the University of Vermont, where he has been since 1986. He has held visiting positions at Rutgers University (New Brunswick) and the Universidad de Sevilla.

Bibliographic information

Reviews

From the reviews:

"This engaging book by J. Michael Wilson concentrates on weighted inequalities of the forms … . The subject matter is presented in a fashion accessible to an advanced graduate student. Proofs of major … results are usually given in full. … There are a good number of exercises at the end of each chapter … . In addition there are many suggestions in the body of the text to prove or further investigate a given result." (Caroline P. Sweezy, Mathematical Reviews, Issue 2008 m)