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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In Geometry and Topology

  1. M. Aiyub
  2. Bipan Hazarika
  3. Syed Abdul Mohiuddine

In Numerical Analysis

  1. Bipan Hazarika
  2. Ahmad M. Alghamdi
  3. M. Aiyub
  4. Syed Abdul Mohiuddine

In Statistics and Probability

  1. M. Aiyub
  2. Bipan Hazarika
  3. Ahmad M. Alghamdi
  4. Syed Abdul Mohiuddine
  5. B. Tripathy

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