Statistically boundedness and statistical core of double sequences
By Celal Çakan, Bilâl Altay. 2006
88 citations recorded by the source corpus.
The concept of statistical convergence was presented by Steinhaus in 1951. This concept was extended to the double sequences by Mursaleen and Edely in 2003. Throughout this paper we will present multidimensional analogues of the results presented by Fridy and Orhan in 1997. To achieve this goal multidimensional analogues of the definition for bounded statistically sequences, statistical inferior and statistical superior will be presented. In addition to these results we will investigate statistical core for double sequences and study an inequality related to the statistical and P-cores of bounded double sequences.
Subfields: Applied Mathematics, Numerical Analysis, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/56539882bb6869d706e65a9a6ed130c5d30eead1
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Applied Mathematics
- Syed Abdul Mohiuddine
- Mohammad Mursaleen
- Ekrem Savas
- Yong-Yi Lan
- Celal Çakan
- Guochen Lin
- Lixin Cheng
- Hui Liu
In Numerical Analysis
- Syed Abdul Mohiuddine
- Mohammad Mursaleen
- Ekrem Savas
- Yong-Yi Lan
- Celal Çakan
- Guochen Lin
- Lixin Cheng
- Hui Liu
In Statistics and Probability
- Syed Abdul Mohiuddine
- Mohammad Mursaleen
- Ekrem Savas
- Yong-Yi Lan
- Celal Çakan
- Guochen Lin
- Lixin Cheng
- Hui Liu
Citations in the corpus
- Generalized statistical convergence and statistical core of double sequences (2010, methodology): “By the same methods used in the above theorems and Theorem 3.4 in [ 20 ], we can prove the following Theorem 4.10 For every x ∈ � ∞ ,”
- Measure theory of statistical convergence (2008, background): “For different purposes, there have been many generalizations of statistical convergence, such as A-statistical convergence in [22, 23, 26, 34, 35, 37, 47, 59, 119, 121], lacunary statistical convergence in [28, 81], uniformly statistical convergence in [57, 88], (strong) λ-statistical convergence in”