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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
In this note , we define and study two concepts which arise from the notion of lacunary strong convergence, and invariant means, namely lacunary strong $sigma$- convergence with respect to an Orlicz function and lacunary a-statistical convergence and established the relationship between these two concepts.
📌 3 Key Takeaways
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Objective & Hypothesis:In this note , we define and study two concepts which arise from the notion of lacunary strong convergence, and invariant means, namely lacunary strong $sigma$- convergence with respect to an Orlicz function and lacunary a-statistical convergence and established the relationship between these two concepts.
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Key Findings & Data:In this note , we define and study two concepts which arise from the notion of lacunary strong convergence, and invariant means, namely lacunary strong $sigma$- convergence with respect to an Orlicz function and lacunary a-statistical convergence and established the relationship between these two concepts.
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Conclusion & Impact:In this note , we define and study two concepts which arise from the notion of lacunary strong convergence, and invariant means, namely lacunary strong $sigma$- convergence with respect to an Orlicz function and lacunary a-statistical convergence and established the relationship between these two concepts.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters
Abstract
In this note , we define and study two concepts which arise from the notion of lacunary strong convergence, and invariant means, namely lacunary strong $sigma$- convergence with respect to an Orlicz function and lacunary a-statistical convergence and established the relationship between these two concepts.
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Cite This Article
SAVAŞ, E., SAVAŞ, R. (2003). On some sequence spaces and lacunary $sigma$ -statistical convergence. Mathematical and Computational Applications, Cilt: 8 - Sayı: 1, 165–172. https://ajindex.com/articles/280147