On Some Further Generalizations of Strong Convergence in Probabilistic Metric Spaces Using Ideals

Author:

Das Pratulananda1,Dutta Kaustubh1,Karakaya Vatan2,Ghosal Sanjoy3

Affiliation:

1. Department of Mathematics, Jadavpur University, Kolkata 700032, India

2. Department of Mathematical Engineering, Yıldız Technical University, Esenler, Istanbul 34210, Turkey

3. Department of Mathematics, Kalyani Government Engineering College, Kalyani, Nadia 741235, India

Abstract

Following the line of (Das et al., 2011, Savas and Das, 2011), we make a new approach in this paper to extend the notion of strong convergence and more general strong statistical convergence (Şençimen and Pehlivan, 2008) using ideals and introduce the notion of strong- and*-statistical convergence and two related concepts, namely, strong-lacunary statistical convergence and strong-λ-statistical convergence in a probabilistic metric space endowed with strong topology. We mainly investigate their interrelationship and study some of their important properties.

Publisher

Hindawi Limited

Subject

Applied Mathematics,Analysis

Reference31 articles.

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