Integration on Infinite-Dimensional Surfaces and Its Applications
Author:   A. Uglanov
Publisher:   Springer
Edition:   2000 ed.
Volume:   496
ISBN:  

9780792361336


Pages:   272
Publication Date:   31 January 2000
Format:   Hardback
Availability:   In Print   Availability explained
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Integration on Infinite-Dimensional Surfaces and Its Applications


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Overview

This text presents the theory of integration over surfaces in abstract topological vector space. Applications of the theory in different fields, such as infinite dimensional distributions and differential equations (including boundary value problems), stochastic processes, approximation of functions, and calculus of variation on a Banach space, are treated in detail.

Full Product Details

Author:   A. Uglanov
Publisher:   Springer
Imprint:   Springer
Edition:   2000 ed.
Volume:   496
Dimensions:   Width: 15.60cm , Height: 1.70cm , Length: 23.40cm
Weight:   1.300kg
ISBN:  

9780792361336


ISBN 10:   0792361334
Pages:   272
Publication Date:   31 January 2000
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Basic Notations.- 1. Vector Measures and Integrals.- 2. Surface Integrals.- 3. Applications.- Comments.- References.

Reviews

This book is highly recommended for every mathematician with an interest in recent developments in functional analysis, measure and integration, differential equations, approximations, calculus of variations and stochastic processes.' Mathematical Reviews, 2001c


'This book is highly recommended for every mathematician with an interest in recent developments in functional analysis, measure and integration, differential equations, approximations, calculus of variations and stochastic processes.' Mathematical Reviews, 2001c


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