Probability on Compact Lie Groups

  • David Applebaum

Part of the Probability Theory and Stochastic Modelling book series (PTSM, volume 70)

Table of contents

  1. Front Matter
    Pages i-xxvi
  2. David Applebaum
    Pages 1-21
  3. David Applebaum
    Pages 65-80
  4. David Applebaum
    Pages 81-118
  5. David Applebaum
    Pages 119-166
  6. David Applebaum
    Pages 167-178
  7. Back Matter
    Pages 179-217

About this book


Probability theory on compact Lie groups deals with the interaction between “chance” and “symmetry,” a beautiful area of mathematics of great interest in its own sake but which is now also finding increasing applications in statistics and engineering (particularly with respect to signal processing). The author gives a comprehensive introduction to some of the principle areas of study, with an emphasis on applicability. The most important topics presented are: the study of measures via the non-commutative Fourier transform, existence and regularity of densities, properties of random walks and convolution semigroups of measures, and the statistical problem of deconvolution. The emphasis on compact (rather than general) Lie groups helps readers to get acquainted with what is widely seen as a difficult field but which is also justified by the wealth of interesting results at this level and the importance of these groups for applications.

The book is primarily aimed at researchers working in probability, stochastic analysis and harmonic analysis on groups. It will also be of interest to mathematicians working in Lie theory and physicists, statisticians and engineers who are working on related applications. A background in first year graduate level measure theoretic probability and functional analysis is essential; a background in Lie groups and representation theory is certainly helpful but the first two chapters also offer orientation in these subjects.


60B15, 43A05, 43A77, 43A30 Fourier transform Lie groups Probability Representation

Authors and affiliations

  • David Applebaum
    • 1
  1. 1.School of Mathematics and StatisticsUniversity of SheffieldSheffieldUnited Kingdom

Bibliographic information

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