Open AccessPringsheim and statistical convergence for double sequences on $ L- $fuzzy normed space
Author(s) -
Reha Yapalı,
Utku Gürdal
Publication year - 2021
Publication title -
aims mathematics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.329
H-Index - 15
ISSN - 2473-6988
DOI - 10.3934/math.2021796
Subject(s) - convergence (economics) , mathematics , modes of convergence (annotated index) , normed vector space , characterization (materials science) , fuzzy logic , space (punctuation) , convergence tests , pointwise convergence , discrete mathematics , pure mathematics , computer science , rate of convergence , topological space , topological vector space , artificial intelligence , physics , telecommunications , isolated point , optics , economics , economic growth , operating system , channel (broadcasting) , approx
In this paper, we study the concept of statistical convergence for double sequences on $ L- $fuzzy normed spaces. Then we give a useful characterization on the statistical convergence of double sequences with respect to their convergence in the classical sense and we illustrate that our method of convergence is weaker than the usual convergence for double sequences on $ L- $fuzzy normed spaces.