Fixed Point Theory in Probabilistic Metric Spaces

Pap Endre Hadzic O.

ISBN 10: 1402001290 / ISBN 13: 9781402001291

Published by Springer, 2001

About this Item

PRINT ON DEMAND pp. 292.

Seller Inventory # 18321456

Bibliographic Details

• Title: Fixed Point Theory in Probabilistic Metric Spaces
• Publisher: Springer
• Publication Date: 2001
• Language: English
• ISBN 10: 1402001290
• ISBN 13: 9781402001291
• Binding: Hardcover
• Condition: New

About this title

Synopsis

Fixed point theory in probabilistic metric spaces can be considered as a part of Probabilistic Analysis, which is a very dynamic area of mathematical research. A primary aim of this monograph is to stimulate interest among scientists and students in this fascinating field. The text is self-contained for a reader with a modest knowledge of the metric fixed point theory.
Several themes run through this book. The first is the theory of triangular norms (t-norms), which is closely related to fixed point theory in probabilistic metric spaces. Its recent development has had a strong influence upon the fixed point theory in probabilistic metric spaces.
In Chapter 1 some basic properties of t-norms are presented and several special classes of t-norms are investigated. Chapter 2 is an overview of some basic definitions and examples from the theory of probabilistic metric spaces. Chapters 3, 4, and 5 deal with some single-valued and multi-valued probabilistic versions of the Banach contraction principle. In Chapter 6, some basic results in locally convex topological vector spaces are used and applied to fixed point theory in vector spaces.
Audience: The book will be of value to graduate students, researchers, and applied mathematicians working in nonlinear analysis and probabilistic metric spaces.