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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
In this study, we introduce the concepts of rough statistical cluster point and rough statistical limit point of a sequence in 2-normed space and investigate some properties of these concepts.
📌 3 Key Takeaways
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Objective & Hypothesis:In this study, we introduce the concepts of rough statistical cluster point and rough statistical limit point of a sequence in 2-normed space and investigate some properties of these concepts.
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Key Findings & Data:In this study, we introduce the concepts of rough statistical cluster point and rough statistical limit point of a sequence in 2-normed space and investigate some properties of these concepts.
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Conclusion & Impact:In this study, we introduce the concepts of rough statistical cluster point and rough statistical limit point of a sequence in 2-normed space and investigate some properties of these concepts.
🔬Design:Konferans Bildirisi
📍Scope:Comprehensive Sample
⚙️Variables:Rough convergence · 2-normed space · Rough cluster point
Abstract
In this study, we introduce the concepts of rough statistical cluster point and rough statistical limit point of a sequence in 2-normed space and investigate some properties of these concepts.
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Cite This Article
Arslan, M., Dündar, E. (2020). Some Properties of Rough Statistical Convergence in 2-Normed Spaces. Conference Proceedings of Science and Technology, Cilt: 3 Sayı: 1, 145–149. https://ajindex.com/articles/1648723