Strong statistical convergence in probabilistic metric spaces
STOCHASTIC ANALYSIS AND APPLICATIONS, cilt.26, sa.3, ss.651-664, 2008 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 26 Sayı: 3
- Basım Tarihi: 2008
- Doi Numarası: 10.1080/07362990802007251
- Dergi Adı: STOCHASTIC ANALYSIS AND APPLICATIONS
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
- Sayfa Sayıları: ss.651-664
- Süleyman Demirel Üniversitesi Adresli: Evet
Özet
In this article, we introduce the concepts of strongly statistically convergent sequence and strong statistically Cauchy sequence in a probabilistic metric (PM) space endowed with the strong topology, and establish some basic facts. Next, we define the strong statistical limit points and the strong statistical cluster points of a sequence in this space and investigate the relations between these concepts.