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Δ_kl-Lacunary Statistical Convergence via Neutrosophic Normed Spaces for Double Sequences
Subject area: Physical Sciences and Environment · Area of research: Functional Analysis (Statistical Convergence )
Abstract
The aim of this paper is concerned with the extension of Lacunary ∆ - Statistically convergent and Lacunary ∆ - Statistically Cauchy sequences via Neutrosophic Normed Space (NNS) to double sequences. The study in analogy also define and introduce ∆_kj- statistically convergent and characterized ∆_kj for which 〖st〗_(〖 Δ〗_kj)^R (θ)-lims_kl=s or s_kj-s(S_(〖 Δ〗_kj)^R ), as k→∞. 〖 S〗_(〖 Δ〗_kj)^R (θ) denote set of all 〖 Δ〗_kj-Lacunary statistical convergence sequences via neutrosophic normed space (U,μ_((R,ν)),ϱ_((R,U),) ζ_((R,F)),⨂▒〖,⊡〗). Moreover, we present their characteristic devising double Lacunary density and derive the inclusion relations between these concepts.
Keywords
Double sequence, Lacunary sequence, Difference sequence, Neutrosophic normed space
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How to cite this paper
@article{1723684,
author = {B. G. Ahmadu, A. M. Brono},
title = {Δ_kl-Lacunary Statistical Convergence via Neutrosophic Normed Spaces for Double Sequences},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {10},
number = {4},
pages = {728-735},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1723684.pdf},
abstract = {The aim of this paper is concerned with the extension of Lacunary ∆ - Statistically convergent and Lacunary ∆ - Statistically Cauchy sequences via Neutrosophic Normed Space (NNS) to double sequences. The study in analogy also define and introduce ∆_kj- statistically convergent and characterized ∆_kj for which 〖st〗_(〖 Δ〗_kj)^R (θ)-lims_kl=s or s_kj-s(S_(〖 Δ〗_kj)^R ), as k→∞. 〖 S〗_(〖 Δ〗_kj)^R (θ) denote set of all 〖 Δ〗_kj-Lacunary statistical convergence sequences via neutrosophic normed space (U,μ_((R,ν)),ϱ_((R,U),) ζ_((R,F)),⨂▒〖,⊡〗). Moreover, we present their characteristic devising double Lacunary density and derive the inclusion relations between these concepts.},
keywords = {Double sequence, Lacunary sequence, Difference sequence, Neutrosophic normed space},
month = {October},
}