TVS-锥度量空间中的统计收敛

本文研究TVS-锥度量空间中的统计收敛以及TVS-锥度量空间的统计完备性.令(X,E,P,d)表示一个TVS-锥度量空间.利用定义在有序Hausdorff拓扑向量空间E上的Minkowski函数ρ,证明了在X上存在一个通常意义下的度量d_ρ,使得X中的序列(x_n)在锥度量d意义下统计收敛到x∈X,当且仅当(x_n)在度量d_ρ意义下统计收敛到x.基于此,我们证明了任意一个TVS-锥统计Cauchy序列是几乎处处TVS-锥Cauchy序列,还证明了任意一个TVS-锥统计收敛的序列是几乎处处TVS-锥收敛的.从而,TVS-锥度量空间(X,d)是d-完备的,当且仅当它是d-统计完备的.基于以上结论,通常度量空间中统计收敛的许多性质都可以平行地推广到锥度量空间中统计收敛的情形.     

TVS-锥度量空间中扩张映射的不动点定理

在TVS-锥度量空间概念的基础上,建立了TVS-锥度量空间的若干理论,并运用这些理论,对满足不同条件的扩张型映射,采用不同的迭代方法,得到了TVS-锥度量空间中扩张映射新的不动点定理,结果是度量空间中某些经典结果在锥度量空间的进一步推广和发展.     

TVS-锥度量空间中扩张映射的公共不动点

在完备的TVS-锥度量空间中研究了经典的扩张型映射的公共不动点的存在性及唯一性,所得结果推广了一些已知的重要结论,将扩张映射公共不动点的研究从锥度量空间(Banach-锥)发展到TVS-锥度量空间.     

TVS-值锥度量空间上四个映射的唯一公共不动点

在非完备的拓扑线性空间值锥度量空间上得到了新的满足某种Lipschitz型条件的四个映射的唯一公共不动点定理并给出了一些推论.所得结果推广和改进了文献中一些已知结论.     

TVS-值锥度量空间上拟-Lipschitz型映射族的公共不动点

在TVS-值锥度量空间上给出若干可数个满足拟-Lipschitz条件的满映射族的唯一公共不动点的存在性定理.主要结论推广和改进了文献中的一些相应结论.     

锥度量空间中的不动点定理

本文首先在锥度量空间中引入了ψ序压缩算子这一概念,然后证明了几个ψ-序压缩算子的不动点存在性定理.     

G-锥度量空间中的不动点定理

本文在G-锥度量空间中引入弱相容映射,得到G-锥度量空间在自映射压缩条件下的不动点定理和在弱相容自映射压缩条件下的公共不动点定理,并通过迭代法证明了这两个主要定理.     

锥度量空间中的一些新的拓扑性质

本文给出了锥度量空间中的锥的一些性质.利用完备性概念,得到了此空间中的闭球套定理,改进了前人在度量空间中的相应结果.     

度量空间和锥度量空间中的若干不动点定理

给出了度量空间和锥度量空间中的若干不动点定理.利用这些不动点定理,统一并推广了度量空间和锥度量空间中的若干经典的不动点定理.     

TVS-值锥度量空间上具有拟Lipschitz条件的映射族的公共不动点（英文）

A new unique common fixed point result for a pair of mappings satisfying certain quasi-Lipschitz type conditions on a topological vector space-valued cone metric space is obtained, and its particular forms and a more general form are given. Our main results generalize and improve some well-known recent results in the literature.     

Strong Statistical Convergence in Probabilistic Metric Spaces

Abstract

In this article, we introduce the concepts of strongly statistically convergent sequence and strong statistically Cauchy sequence in a probabilistic metric (PM) space endowed with the strong topology, and establish some basic facts. Next, we define the strong statistical limit points and the strong statistical cluster points of a sequence in this space and investigate the relations between these concepts.     

Statistically D-bounded sequences in probabilistic normed spaces

In this study, the concept of a statistically D-bounded sequence in a probabilistic normed (PN) space endowed with the strong topology is introduced and its basic properties are investigated. It is shown that a strongly statistically convergent sequence and a strong statistically Cauchy sequence are statistically D-bounded under certain conditions. A sequence which goes far away from the limit point infinitely many times and presents random deviations in a PN space may be handled with the tools of strong statistical convergence and statistical D-boundedness.     

扰动压缩条件的点列收敛性问题

研究完备度量空间X中满足ρ(xn,xn+1)≤Lρ(xn-1,xn)+εn的点列{xn}收敛性问题,其中L∈(0,1)为常数,εn非负是无穷小量称为扰动.文中的主要结论是:点列{xn}的收敛性由扰动εn决定,即当幂级数sum from n=1 to ∞εnxn的收敛半径R>1/L时,点列{xn}收敛.特别地,当R>1时,点列收敛;而R=1时,{xn}敛散性不能确定.     

N个度量空间上的相关不动点的注记

得到了 n个度量空间上的相关不动点的几个结果 .     

完备和紧度量空间中的不动点

利用实函数性质,建立了两类度量空间中的几个不动点定理,推广了Fisher的有关定理。     

Statistical Structures on Metric Path Spaces

The authors extend the notion of statistical structure from Riemannian geometry to the general framework of path spaces endowed with a nonlinear connection and a generalized metric. Two particular cases of statistical data are defined. The existence and uniqueness of a nonlinear connection corresponding to these classes is proved. Two Koszul tensors are introduced in accordance with the Riemannian approach. As applications, the authors treat the Finslerian (α, β)-metrics and the Beil metrics used in relativity and field theories while the support Riemannian metric is the Fisher-Rao metric of a statistical model.     

The Completeness of Cone Metric Spaces

Some topological properties of cone metric spaces are discussed and proved that every cone metric space （X, d） is complete if and only if every family of closed subsets of X which has the finite intersection property and which for every c ε E, 0 〈〈 c contains a set of diameter less that c has non-empty intersection.     

Statistical Cluster Points of Sequences in Finite Dimensional Spaces

In this paper we study the set of statistical cluster points of sequences in m-dimensional spaces. We show that some properties of the set of statistical cluster points of the real number sequences remain in force for the sequences in m-dimensional spaces too. We also define a notion of -statistical convergence. A sequence xis -statistically convergent to a set Cif Cis a minimal closed set such that for every > 0 the set has density zero. It is shown that every statistically bounded sequence is -statistically convergent. Moreover if a sequence is -statistically convergent then the limit set is a set of statistical cluster points.     

在两个完备紧致度量空间上满足隐含关系映射的不动点定理

首先给出了隐含关系函数，证明了满足隐含关系函数的两个映射的公共不动点定理，进一步证明了两个紧致度量空间上满足隐含关系函数的不动点定理．