Results 1 to 10 of about 4,163,698 (180)
Completion of probabilistic normed spaces [PDF]
We prove that every probabilistic normed space, either according to the original definition given by erstnev, or according to the recent one introduced by Alsina, Schweizer and Sklar, has a completion.
Bernardo Lafuerza Guillén +2 more
doaj +5 more sources
A study of boundedness in probabilistic normed spaces [PDF]
Probabilistic normed spaces have been redefined by Alsina, Schweizer, and Sklar. We give a detailed analysis of various boundedness notions for linear operators between such spaces and we study the relationship among them and also with the notion of continuity.
B. Lafuerza Guillén +3 more
core +13 more sources
The primary purpose of this paper is to  introduce the, N-coprobabilistic normed space, coprobabilistic dual space of N-coprobabilistic normed space and give some facts that are related of them.
Suad Naji Kadhim, Faria Ali Mohamad
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On locally convex probabilistic normed spaces [PDF]
In this paper, we give the notion of locally convex probabilistic seminormed spaces and discuss some property of locally convex probabilistic seminormed spaces.
Jie Chi +3 more
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Generalized Ulam-Hyers Stability of Jensen Functional Equation in Šerstnev PN Spaces
We establish a generalized Ulam-Hyers stability theorem in a Šerstnev probabilistic normed space (briefly, Šerstnev PN-space) endowed with ΠM.
C. Park +3 more
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On α-Šerstnev probabilistic normed spaces [PDF]
In this article, the condition alpha-S is defined for alpha in ]0,1[U]1, +infty[ and several clases of alpha-Serstnev PN spacesd, the relationship between alpha-simple PN spaces and alpha-Serstnev PN spaces and a study of PN spaces of linear operators wich are alpha-Serstnev PN spaces are given.
Lafuerza Guillén, Bernardo +1 more
openaire +3 more sources
Convexity in probabilistic Normed space
Abstract The local convexity of a PN space is discussed using the idea of probability metric, and the constraint condition of convexity preservation of probabilistic normed space is given. Based on the probability background, it is proved that the probability norm and its linear combination are convex functions.
Xu-hua Xu, Qian Ge
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On best proximity point theorems for relatively nonexpansive mappings in locally convex spaces
This paper explores the concept of normal structure by introducing a generalized form known as P-proximal normal structure. Focusing on the framework of Hausdorff locally convex spaces, the study establishes optimal proximity outcomes for both cyclic and
Saadaoui Brahim +3 more
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Compact Operators Defined on 2‐Normed and 2‐Probabilistic Normed Spaces [PDF]
The compact operators defined on 2‐normed spaces are investigated, and then the main ideas are generalized to operators defined on 2‐probabilistic normed spaces.
Lael, Fatemeh, Nourouzi, Kourosh
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Statistical Convergence of Double Sequences on Probabilistic Normed Spaces [PDF]
The concept of statistical convergence was presented by Steinhaus in 1951. This concept was extended to the double sequences by Mursaleen and Edely in 2003. Karakus has recently introduced the concept of statistical convergence of ordinary (single) sequence on probabilistic normed spaces.
Sevda Karakus, Kamil Demirci
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