半序概率度量空间中压缩映射序列的重合点定理

本文在概率度量空间中定义广义β-可容许映射序列这个新概念,在不同的压缩条件下,利用半序方法,得到映射序列的重合点定理,所得结论推广和改进了有关文献中的不动点定理,最后给出主要结果的一个应用.     

连续型概率度量的特征及其应用

讨论了连续型概率度量空间,给出了连续型概率度量的特征定理.利用这个特征定理,我们获得了连续型概率度量空间的闭球套定理和M enger空间完备性特征定理.作为本文的应用获得了一个局部概率压缩映象不动点定理.     

关于概率度量空间中压缩型映象对的不动点定理

Menger 1942 年提出概率度量空间的概念,近年来,Sehgal,Bharucha-Reid,Istratescu,林等对概率度量空间中压缩型映象不动点定理进行了研究。本文对概率度量空间压缩型映象对给出了几个新的不动点定理,这些结果统一和发展了[2,3,4]中的某些主要结果。     

完备bv(s)-度量空间中广义ψ-Geraghty压缩的不动点定理

本文介绍了bv(s)-度量空间中广义ψ-Geraghty压缩的概念.利用不动点理论的方法获得了在完备bv(s)-度量空间中关于此压缩映射的不动点定理并且得到一些推论.此外,给出了一个支持本文主要结果的例子.     

完备b_v(s)-度量空间中广义ψ-Geraghty压缩的不动点定理（英文）

本文介绍了b_v(s)-度量空间中广义ψ-Geraghty压缩的概念.利用不动点理论的方法获得了在完备b_v(s)-度量空间中关于此压缩映射的不动点定理并且得到一些推论.此外,给出了一个支持本文主要结果的例子.     

具有Banach代数的锥b-度量空间上广义g-拟压缩映射的不动点定理及其应用

本文在具有Banach代数的锥b-度量空间上引入广义g-拟压缩映射,无需正规性条件,得到了广义g-拟压缩映射的不动点存在唯一性,从而将′Ciri′c不动点定理推广到具有Banach代数的锥b-度量空间的情形,主要结果改进和推广了有关文献中的相应结论,并将有关结果应用于非线性积分方程.     

锥b-度量空间中广义拟压缩映射的不动点定理（英文）

2011年,Hussain,Shah和张分别提出锥b-度量空间和广义拟压缩.前者给出锥b-度量空间的一些拓扑性质,然而后者得到锥度量空间中正规条件下的唯一不动点结果.依据Hussain,Shah和张的结果,这篇文章证明在非正规锥条件下,系数s≥1的锥b-度量空间中满足广义拟压缩及压缩条件λ∈(0,1/2)的自映射的不动点定理.我们的结果推广和改进了一些重要的相关结果.     

广义压缩映射的一种连续方法与广义扩张映射的不动点性质（英文）

本文给出了一类广义压缩映射的一种连续方法,在完备度量空间中建立了一类非自映射的一个同伦定理.引入了一类广义扩张映射,给出了它们的不动点定理,并在一定的条件下,证明了这些不动点构成了Banach空间中一个不可数的闭集.     

概率赋范空间上的一些不动点定理的进一步分析

该文在局部有界ＰＮ空间或邻域卜局部凸ＰＮ空间上,证明了非空完备子集上的概率压缩映象必有唯一不动点;并在度量线性空间中给出了关于伪范族一致压缩映象的不动点定理．     

概率度量空间中一个新的不动点定理

概率度量空间中压缩型映象不动点定理的研究开始于1972年Schgal-Bharucha-Reid的工作[3]。以后不少人对概率度量空间中映象的不动点定理进一步讨论,特别是Istratescu的工作[4]把[3]中的结果作了重要的推广。最近张石生[2]对[3]、[4]中的结果作了进一步的推广,[2]中的结果包含了[3]、[4]的主要结果。 在此基础上,本文给出概率度量空间中压缩型映象的一个新的不动点定理。文中涉及的概念及引用的基本定理均见[1]。     

概率度量空间中若干新的不动点定理*

本文提出了Z-M-PN空间的概念,在概率度量空间中我们得到了若干新的不动点定理。同时,一些着名的不动点定理在概率度量空间中得到了推广,诸如:Schauder不动点定理、郭大钧不动点定理和Petryshyn不动点定理被推广到M-PN空间;Altman不动点定理被推广到Z-M-PN空间。     

Monotone generalized contractions in partially ordered probabilistic metric spaces

In this paper, a concept of monotone generalized contraction in partially ordered probabilistic metric spaces is introduced and some fixed and common fixed point theorems are proved. Presented theorems extend the results in partially ordered metric spaces of Nieto and Rodriguez-Lopez [Contractive mapping theorems in partially ordered sets and applications to ordinary differential equations, Order 22 (2005) 223-239; Existence and uniqueness of fixed point in partially ordered sets and applications to ordinary differential equations, Acta Math. Sin. (Engl. Ser.) 23 (2007) 2205-2212], Ran and Reurings [A fixed point theorem in partially ordered sets and some applications to matrix equations, Proc. Amer. Math. Soc. 132 (2004) 1435-1443] to a more general class of contractive type mappings in partially ordered probabilistic metric spaces and include several recent developments.     

Solving the Banach fixed point principle for nonlinear contractions in probabilistic metric spaces

The probabilistic version of the classical Banach Contraction Principle was proved in 1972 by Sehgal and Bharucha-Reid [V.M. Sehgal, A.T. Bharucha-Reid, Fixed points of contraction mappings on PM spaces. Math. Syst. Theory 6, 97–102]. Their fixed point theorem is further generalized by many authors. In the intervening years many others have proved the probabilistic versions of the other known metric fixed point theorems. However, the problem to prove the probabilistic versions of the very important generalization of the Banach Contraction Principle, obtained in 1969 by Boyd and Wong [D.W. Boyd, J.S.W. Wong, On nonlinear contractions, Proc. Am. Math. Soc. 20 (1969) 458–464], who proved the fixed point theorem for a self-mapping of a metric space, satisfying the very general nonlinear contractive condition, is unsolved in these days. Similarly, as in the metric space case, to prove a fixed point theorem for a mapping, satisfying the general probabilistic nonlinear contractive condition, it was necessary to find a new approach, substantially different from the previous technique for cases where a mapping satisfies the probabilistic linear contraction condition, introduced by Sehgal and Bharucha-Reid and further used by many authors. So, the problem to obtain a truthful probabilistic version of the Banach fixed point principle for general nonlinear contractions existed unsolved for over 35 years. We have solved this problem in this paper.     

GENERALIZATIONS OF THE SUZUKI AND KANNAN FIXED POINT THEOREMS IN G-CONE METRIC SPACES

In this paper we develop the Banach contraction principle and Kannan fixed point theorem on generalized cone metric spaces.We prove a version of Suzuki and Kannan type generalizations of fixed point theorems in generalized cone metric spaces.     

Fuzzy度量空间中的单值映射的Caristi型不动点定理

本文采用Ｋａｌａｖａ和Ｓｅｉｋｋａｌａ的模糊度量空间定义，利用文（７）中建立的亚度量簇生成空间理论，研究了Ｆｕｚｚｙ度量空间中的单值映射的Ｃａｒｉｓｔｉ型不动点定理以及它在Ｍｅｎｇｅｒ概率度量空间中的应用。     

具凸结构的概率度量空间中的重合点定理

本文在具凸结构的概率度量空间中，对非线性混合压缩映象得出了几个重合点和公共不动点定理。     

Extension of contractive maps in the Menger probabilistic metric space

In this article, the topological properties of the Menger probabilistic metric spaces and the mappings between these spaces are studied. In addition, contractive and k-contractive mappings are introduced. As an application, a new fixed point theorem in a chainable Menger probabilistic metric space is proved.     

A generalized contraction principle in menger spaces using a control function

In the present paper we use a control function to define a generalized contraction in Menger spaces and obtain a unique fixed point theorem. The work is in line with the research for developing probabilistic contractions with the help of control functions and related fixed point results. We have given an example to which our theorem is applicable. Some corollaries are also discussed.