Journal Article

·2013 OPEN ACCESS

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

Pratulananda Das , Kaustubh Dutta , Vatan Karakaya YTU , Sanjoy Ghosal

Abstract and Applied Analysis

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 strongℐ- andℐ*-statistical convergence and two related concepts, namely, strongℐ-lacunary statistical convergence and strongℐ-λ-statistical convergence in a probabilistic metric space endowed with strong topology. We mainly investigate their interrelationship and study some of their important properties.

Keywords

Algorithm Convergence (economics) Computer science Mathematics Artificial intelligence Machine learning Economic growth Economics

Subject Areas

Approximation Theory and Sequence Spaces ·Statistics and Probability ·Physical Sciences
Fixed Point Theorems Analysis ·Geometry and Topology ·Physical Sciences
Fuzzy and Soft Set Theory ·Management Science and Operations Research ·Social Sciences

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