Книга Probability Measures on Groups X H. Heyer

Probability Measures on Groups X

Автор: H. Heyer
Език: Английски език
Корици: С твърди корици
Наличност: Външен склад
Изпращаме след 10-13 дни
209.92 410.56 лв
The present volume contains the transactions of the lOth Oberwolfach Conference on "Probability Meas...

Информация за книгата

Автор
Език
Английски език
Корици
Книга - С твърди корици
Издадена
1992
страници
498
EAN
9780306440595
ISBN
0306440598
Enbook ID
01377845
Теглоt
2610
Размери
178 x 254 x 32

Пълно описание

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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