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＜電子ブック＞
Probability on Compact Lie Groups / by David Applebaum
(Probability Theory and Stochastic Modelling. ISSN:21993149 ; 70)

版	1st ed. 2014.
出版者	(Cham : Springer International Publishing : Imprint: Springer)
出版年	2014
大きさ	XXVI, 217 p : online resource
著者標目	*Applebaum, David author SpringerLink (Online service)
件　名	LCSH:Probabilities LCSH:Harmonic analysis LCSH:Topological groups LCSH:Lie groups LCSH:Functional analysis LCSH:Fourier analysis FREE:Probability Theory FREE:Abstract Harmonic Analysis FREE:Topological Groups and Lie Groups FREE:Functional Analysis FREE:Fourier Analysis
一般注記	Introduction -- 1.Lie Groups -- 2.Representations, Peter-Weyl Theory and Weights -- 3.Analysis on Compact Lie Groups -- 4.Probability Measures on Compact Lie Groups -- 5.Convolution Semigroups of Measures -- 6.Deconvolution Density Estimation -- Appendices -- Index -- Bibliography 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 HTTP:URL=https://doi.org/10.1007/978-3-319-07842-7

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