〖 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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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-01
DOI
https://doi.org/10.5281/zenodo.14959386
Primary Topic
Nerve injury and regeneration
Type
article
Field-Weighted Citation Impact
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article

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

Zenodo (CERN European Organization for Nuclear Research)
Nerve injury and regeneration
article

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

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.

Zenodo (CERN European Organization for Nuclear Research)
University of Maiduguri (NG)
Reduced inequalities
Openalex Percentile: Top 51%
Nerve injury and regeneration
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〖 Δ〗_kl- Statistical Convergence via Neutrosophic Normed Spaces for Double Sequences · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS