Probabilistic techniques in analysis

Bibliographic Information

Probabilistic techniques in analysis

Richard F. Bass

(Probability and its applications)

Springer-Verlag, c1995

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Note

Includes bibliographical references (p. [375]-386) and index

Description and Table of Contents

Description

In recent years, there has been an upsurge of interest in using techniques drawn from probability to tackle problems in analysis. These applications arise in subjects such as potential theory, harmonic analysis, singular integrals, and the study of analytic functions. This book presents a modern survey of these methods at the level of a beginning Ph.D. student. Highlights of this book include the construction of the Martin boundary, probabilistic proofs of the boundary Harnack principle, Dahlberg's theorem, a probabilistic proof of Riesz' theorem on the Hilbert transform, and Makarov's theorems on the support of harmonic measure. The author assumes that a reader has some background in basic real analysis, but the book includes proofs of all the results from probability theory and advanced analysis required. Each chapter concludes with exercises ranging from the routine to the difficult. In addition, there are included discussions of open problems and further avenues of research.

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Details

  • NCID
    BA24340710
  • ISBN
    • 9780387943879
  • LCCN
    94034721
  • Country Code
    us
  • Title Language Code
    eng
  • Text Language Code
    eng
  • Place of Publication
    New York ; Tokyo
  • Pages/Volumes
    xii, 392 p.
  • Size
    24 cm
  • Classification
  • Subject Headings
  • Parent Bibliography ID
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