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9781402001291

Fixed Point Theory in Probabilistic Metric Spaces

by ;
  • ISBN13:

    9781402001291

  • ISBN10:

    1402001290

  • Format: Hardcover
  • Copyright: 2001-12-01
  • Publisher: Kluwer Academic Pub
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Summary

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.

Table of Contents

Introduction vii
Triangular norms
1(46)
Triangular norms and conorms
1(4)
Properties of t-norms
5(5)
Ordinal sums
10(3)
Representation of continuous t-norms
13(11)
Pseudo-inverse
13(2)
Additive generators
15(4)
Multiplicative generators
19(2)
Isomorphism of continuous Archimedean t-norms with either TP or TL
21(1)
General continuous t-norms
22(2)
t-norms with left-continuous diagonals
24(2)
Triangular norms of H-type
26(3)
Comparison of t-norms
29(9)
Comparison of continuous Archimedean t-norms
29(4)
Comparison of continuous t-norms
33(2)
Domination of t-norms
35(3)
Countable extension of t-norms
38(9)
Probabilistic metric spaces
47(48)
Copulas and triangle functions
47(6)
Copulas
47(3)
Triangle functions
50(3)
Definitions of probabilistic metric spaces
53(2)
Some classes of probabilistic metric spaces
55(7)
Menger and Wald spaces
56(3)
Transformation-generated spaces
59(1)
E-processes and Markov chains
60(2)
Topology, uniformity, metrics and semi-metrics on probabilistic metric spaces
62(3)
Random normed and para-normed spaces
65(5)
Fuzzy metric spaces
70(5)
Functions of non-compactness
75(10)
Probabilistic metric spaces related to decomposable measure
85(10)
Decomposable measures
85(6)
Related probabilistic metric spaces
91(4)
Probabilistic B-contraction principles for single-valued mappings
95(60)
Probabilistic B-contraction principles
96(15)
Two special classes of probabilistic q-contractions
111(5)
Generalizations of probabilistic B-contractions principles for single-valued mappings
116(16)
Fixed point theorems of Caristi's type
132(8)
Common fixed point theorems
140(15)
Probabilistic B-contraction principles for multi-valued mappings
155(30)
Multi-valued contractions of Mihet's type
155(3)
Multi-valued probabilistic Ψ-contrctions
158(4)
Probabilistic Nadler q-contraction
162(6)
A fixed point theorem of Itoh's type
168(6)
Fixed point theorems in probabilistic metric spaces with convex structures
174(7)
A common fixed point theorem for sequence of mappings
181(4)
Hicks' contraction principle
185(20)
Hicks' contraction principle for single-valued mappings
185(10)
Multi-valued generalizations of Hicks' contraction principle
195(10)
Fixed point theorems in topological vector spaces and applications to random normed spaces
205(40)
Tychonoff's and Browder's fixed point theorems
206(7)
Admissible subsets of topological vector spaces and their application on the fixed point theory
213(12)
Fixed point theorems of Krasnoselski's type
225(8)
Continuous dependence of the fixed points on the parameters of (α, g)- condensing mappings
233(6)
A degree theory in topological vector spaces
239(6)
Bibliography 245(26)
Index 271

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