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

Autor: Kaustubh Dutta, Sanjoy Ghosal, Pratulananda Das, Vatan Karakaya
Jazyk: angličtina
Rok vydání: 2013
Předmět:
Zdroj: Abstract and Applied Analysis, Vol 2013 (2013)
Abstr. Appl. Anal.
ISSN: 1687-0409
1085-3375
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 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.
Databáze: OpenAIRE