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

Autor: Pratulananda Das, Kaustubh Dutta, Vatan Karakaya, Sanjoy Ghosal
Jazyk: angličtina
Rok vydání: 2013
Předmět:
Zdroj: Abstract and Applied Analysis, Vol 2013 (2013)
Druh dokumentu: article
ISSN: 1085-3375
1687-0409
DOI: 10.1155/2013/765060
Popis: 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 ℐ- and ℐ*-statistical convergence and two related concepts, namely, strong ℐ-lacunary statistical convergence and strong ℐ-λ-statistical convergence in a probabilistic metric space endowed with strong topology. We mainly investigate their interrelationship and study some of their important properties.
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