Stochastic Analysis and Random Maps in Hilbert Space (Hardcover, Reprint 2018)

01/07 This title is now available from Walter de Gruyter. Please see www.degruyter.com for more information. This book is devoted to stochastic operators in Hilbert space. A number of models in modern probability theory apply the notion of a stochastic operator in explicit or latent form. In this book, objects from the Gaussian case are considered. Therefore, it is useful to consider all random variables and elements as functionals from the Wiener process or its formal derivative, i.e. white noise. The book consists of five chapters. The first chapter is devoted to stochastic calculus and its main goal is to prepare the tools for solving stochastic equations. In the second chapter the structure of stochastic equations, mainly the structure of Gaussian strong linear operators, is studied. In chapter 3 the definition of the action of the stochastic operator on random elements in considered. Chapter 4 deals with the mathematical models in which the notions of stochastic calculus arise and in the final chapter the equation with random operators is considered.

General

Imprint:	VSP International Science Publishers
Country of origin:	Netherlands
Release date:	1994
First published:	1994
Authors:	A.A. Dorogovtsev
Dimensions:	240 x 160 x 12mm (L x W x T)
Format:	Hardcover
Pages:	109
Edition:	Reprint 2018
ISBN-13:	978-90-6764-163-0
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Functional analysis Books > Science & Mathematics > Mathematics > Applied mathematics > Stochastics Promotions
LSN:	90-6764-163-4
Barcode:	9789067641630

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