STATISTICALLY CONVERGENT MULTIPLE SEQUENCES IN PROBABILISTIC NORMED SPACES

被引：0

作者：

Tripathy, Binod Chandra ^{[1
]}

Goswami, Rupanjali ^{[2
]}

机构：

[1] Tripura Univ, Dept Math, Agartala 799022, Tripura, India

[2] Cotton Coll, Dept Math, Gauhati 781001, Assam, India

来源：

UNIVERSITY POLITEHNICA OF BUCHAREST SCIENTIFIC BULLETIN-SERIES A-APPLIED MATHEMATICS AND PHYSICS | 2016年 / 78卷 / 04期

关键词：

Density; Statistical convergence; Continuous t-norm; Probabilistic normed spaces;

D O I：

暂无

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

In this paper we define concepts of statistically convergent and statistically Cauchy multiple sequences in probabilistic normed spaces. We prove a useful characterization for statistically convergent multiple sequences. We will introduce the statistical limit points, statistical cluster points in probabilistic normed spaces. Moreover we will give the relation between them and limit points of multiple sequences in probabilistic normed spaces.

引用

页码：83 / 94

页数：12

共 29 条

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