ON [I.sub.[DELTA]]-DEFERRED STATISTICALLY ROUGH CONVERGENCE WITH ORDER [alpha]

In this article, we introduce the concept of [I.sub.[DELTA]]-deferred statistically rough convergence of order [alpha], (0 < [alpha] [less than or equal to] 1) in a normed linear space. We mainly examine various properties such as closedness and convexity of the set of I - [DS.sub.p,q.sup.r,[alph...

Full description

Saved in:
Bibliographic Details
Published in:TWMS journal of applied and engineering mathematics 2024-09, Vol.14 (4), p.1526
Main Authors: Choudhury, C, Kucukaslan, M
Format: Article
Language:English
Subjects:
Analysis
Convergence (Mathematics)
Methods
Sequences (Mathematics)
Vector analysis
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In this article, we introduce the concept of [I.sub.[DELTA]]-deferred statistically rough convergence of order [alpha], (0 < [alpha] [less than or equal to] 1) in a normed linear space. We mainly examine various properties such as closedness and convexity of the set of I - [DS.sub.p,q.sup.r,[alpha]] ([DELTA])--limit for a sequence. Besides this, we prove a necessary and sufficient condition for the I - [DS.sub.p,q.sup.r,[alpha]]([DELTA])--convergence of a real valued sequence and derive some interesting implication relationships. Keywords: Deferred statistical convergence, ideal, I--convergence, difference of sequence, rough convergence. AMS Subject Classification (2020): 40A35, 40A05.
ISSN:2146-1147