Convex sets in probabilistic normed spaces

2008 ◽  
Vol 36 (2) ◽  
pp. 322-328 ◽  
Author(s):  
Asadollah Aghajani ◽  
Kourosh Nourouzi
Filomat ◽  
2016 ◽  
Vol 30 (5) ◽  
pp. 1263-1272 ◽  
Author(s):  
P.K. Harikrishnan ◽  
Bernardo Guillén ◽  
K.T. Ravindran

The idea of convex sets and various related results in 2-Probabilistic normed spaces were established in [7]. In this paper, we obtain the concepts of convex series closedness, convex series compactness, boundedness and their interrelationships in Menger?s 2-probabilistic normed space. Finally, the idea of D-Boundedness in Menger?s 2-probabilistic normed spaces and Menger?s Generalized 2-Probabilistic Normed spaces are discussed.


2013 ◽  
Vol 59 (2) ◽  
pp. 299-320
Author(s):  
M. Eshaghi Gordji ◽  
Y.J. Cho ◽  
H. Khodaei ◽  
M. Ghanifard

Abstract In this paper, we investigate the general solution and the generalized stability for the quartic, cubic and additive functional equation (briefly, QCA-functional equation) for any k∈ℤ-{0,±1} in Menger probabilistic normed spaces.


2014 ◽  
Vol 33 (2) ◽  
pp. 59-67
Author(s):  
Pankaj Kumar ◽  
S. S. Bhatia ◽  
Vijay Kumar

In this paper, we aim to generalize the notion of statistical convergence for double sequences on probabilistic normed spaces with the help of two nondecreasing sequences of positive real numbers $\lambda=(\lambda_{n})$ and $\mu = (\mu_{n})$  such that each tending to zero, also $\lambda_{n+1}\leq \lambda_{n}+1, \lambda_{1}=1,$ and $\mu_{n+1}\leq \mu_{n}+1, \mu_{1}=1.$ We also define generalized statistically Cauchy double sequences on PN space and establish the Cauchy convergence criteria in these spaces.


2009 ◽  
Vol 2009 ◽  
pp. 1-17
Author(s):  
Fatemeh Lael ◽  
Kourosh Nourouzi

The compact operators defined on2-normed spaces are investigated, and then the main ideas are generalized to operators defined on2-probabilistic normed spaces.


2007 ◽  
Vol 57 (3) ◽  
Author(s):  
Ioan Goleţ

AbstractIn this paper we consider an enlargement of the notion of the probabilistic normed space. For this new class of probabilistic normed spaces we give some topological properties. By using properties of the probabilistic norm we prove some differential and integral properties of functions with values into probabilistic normed spaces. As special cases, results for deterministic and random functions can be obtained.


10.1142/p944 ◽  
2014 ◽  
Author(s):  
Bernardo Lafuerza Guillen ◽  
Panackal Harikrishnan

Author(s):  
Ayhan Esi

Two concepts—one of statistical convergence and the other of de la Vallée-Poussin mean—play an important role in recent research on summability theory. In this work we define a new type of summability methods and statistical completeness involving the ideas of de la Vallée-Poussin mean and statistical convergence in the framework of probabilistic normed spaces.


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