〖 Δ〗_kl- Statistical Convergence via Neutrosophic Normed Spaces for Double Sequences

In this paper, we present the extension of ∆-statistically convergent and ∆-statistically Cauchy sequences via neutrosophic normed space (NNS) to double sequences. The study in analogy also define and introduce for which lim or where denote set of all statistically convergent sequences. Furthermore, we present their feature utilizing double density and establish some inclusion relations between these concepts and prove some essentials analogous properties for double sequences.

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Journal
INTERNATIONAL JOURNAL OF MATHEMATICS AND COMPUTER RESEARCH
Published
2025-03-07
DOI
https://doi.org/10.47191/ijmcr/v13i3.01
Primary Topic
Approximation Theory and Sequence Spaces
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article
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article

〖 Δ〗_kl- Statistical Convergence via Neutrosophic Normed Spaces for Double Sequences

A. M. Brono, B. G. Ahmadu
INTERNATIONAL JOURNAL OF MATHEMATICS AND COMPUTER RESEARCH
Approximation Theory and Sequence Spaces
article

〖 Δ〗_kl- Statistical Convergence via Neutrosophic Normed Spaces for Double Sequences

A. M. Brono, B. G. Ahmadu
article en

Abstract

In this paper, we present the extension of ∆-statistically convergent and ∆-statistically Cauchy sequences via neutrosophic normed space (NNS) to double sequences. The study in analogy also define and introduce for which lim or where denote set of all statistically convergent sequences. Furthermore, we present their feature utilizing double density and establish some inclusion relations between these concepts and prove some essentials analogous properties for double sequences.

INTERNATIONAL JOURNAL OF MATHEMATICS AND COMPUTER RESEARCHVol. 13(03)
University of Maiduguri (NG)
Openalex Percentile: Top 95%
Approximation Theory and Sequence Spaces
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