Probability Measures on Groups X

Probability Measures on Groups X
Author :
Publisher : Springer Science & Business Media
Total Pages : 491
Release :
ISBN-10 : 9781489923646
ISBN-13 : 1489923640
Rating : 4/5 (640 Downloads)

Book Synopsis Probability Measures on Groups X by : H. Heyer

Download or read book Probability Measures on Groups X written by H. Heyer and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 491 pages. Available in PDF, EPUB and Kindle. Book excerpt: The present volume contains the transactions of the lOth Oberwolfach Conference on "Probability Measures on Groups". The series of these meetings inaugurated in 1970 by L. Schmetterer and the editor is devoted to an intensive exchange of ideas on a subject which developed from the relations between various topics of mathematics: measure theory, probability theory, group theory, harmonic analysis, special functions, partial differential operators, quantum stochastics, just to name the most significant ones. Over the years the fruitful interplay broadened in various directions: new group-related structures such as convolution algebras, generalized translation spaces, hypercomplex systems, and hypergroups arose from generalizations as well as from applications, and a gradual refinement of the combinatorial, Banach-algebraic and Fourier analytic methods led to more precise insights into the theory. In a period of highest specialization in scientific thought the separated minds should be reunited by actively emphasizing similarities, analogies and coincidences between ideas in their fields of research. Although there is no real separation between one field and another - David Hilbert denied even the existence of any difference between pure and applied mathematics - bridges between probability theory on one side and algebra, topology and geometry on the other side remain absolutely necessary. They provide a favorable ground for the communication between apparently disjoint research groups and motivate the framework of what is nowadays called "Structural probability theory".


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