On ideal convergence in probabilistic normed spaces
By Mohammad Mursaleen, Syed Abdul Mohiuddine. 2012
153 citations recorded by the source corpus.
An interesting generalization of statistical convergence is I-convergence which was introduced by P.Kostyrko et al [KOSTYRKO,P.—ŠALÁT,T.—WILCZYŃSKI,W.: I-Convergence, Real Anal. Exchange 26 (2000–2001), 669–686]. In this paper, we define and study the concept of I-convergence, I*-convergence, I-limit points and I-cluster points in probabilistic normed space. We discuss the relationship between I-convergence and I*-convergence, i.e. we show that I*-convergence implies the I-convergence in probabilistic normed space. Furthermore, we have also demonstrated through an example that, in general, I-convergence does not imply I*-convergence in probabilistic normed space.
Subfields: Geometry and Topology, Numerical Analysis, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/461afd405d6dbc74f3f4643f1b9bdc5d0b6109db
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Citations in the corpus
- Lacunary statistical convergence in random 2-normed spaces (2012, background): “in probabilistic normed space [9,14,20, 21,24]; in intuitionistic fuzzy normed spaces [12,16,17, 19]; and in fuzzy/random 2-normed space [13,22].”
- Ideal relatively uniform convergence with Korovkin and Voronovskaya types approximation theorems (2019, background): “It was further investigated by many authors, e.g. S̆alát et al. [43], Mursaleen and Mohiuddine [39], Hazarika and Mohiuddine [35] and references therein.”