© 1994

Martingale Hardy Spaces and their Applications in Fourier Analysis

  • Authors

Part of the Lecture Notes in Mathematics book series (LNM, volume 1568)

Table of contents

  1. Front Matter
    Pages I-VIII
  2. Ferenc Weisz
    Pages 1-12
  3. Ferenc Weisz
    Pages 13-79
  4. Ferenc Weisz
    Pages 80-140
  5. Ferenc Weisz
    Pages 141-163
  6. Ferenc Weisz
    Pages 164-182
  7. Back Matter
    Pages 204-220

About this book


This book deals with the theory of one- and two-parameter martingale Hardy spaces and their use in Fourier analysis, and gives a summary of the latest results in this field. A method that can be applied for both one- and two-parameter cases, the so-called atomic decomposition method, is improved and provides a new and common construction of the theory of one- and two-parameter martingale Hardy spaces. A new proof of Carleson's convergence result using martingale methods for Fourier series is given with martingale methods. The book is accessible to readers familiar with the fundamentals of probability theory and analysis. It is intended for researchers and graduate students interested in martingale theory, Fourier analysis and in the relation between them.


Fourier series Fourier-Analysis Hardy and BMO spaces Hardy's inequality Martingale Martingales One- and two-parameter martingales Probability theory Propability Walsh- and Vilenkin-series calculus tree martingales

Bibliographic information

  • Book Title Martingale Hardy Spaces and their Applications in Fourier Analysis
  • Authors Ferenc Weisz
  • Series Title Lecture Notes in Mathematics
  • Series Abbreviated Title Lecture Notes in Mathematics
  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 1994
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Softcover ISBN 978-3-540-57623-5
  • eBook ISBN 978-3-540-48295-6
  • Series ISSN 0075-8434
  • Series E-ISSN 1617-9692
  • Edition Number 1
  • Number of Pages VIII, 224
  • Number of Illustrations 0 b/w illustrations, 0 illustrations in colour
  • Topics Probability Theory and Stochastic Processes
  • Buy this book on publisher's site
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