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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
Also, we investigate some relationships among these concepts.
📌 3 Key Takeaways
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Objective & Hypothesis:In this paper, we introduce the concepts of strongly asymptotically lacunary I-invariant equivalence, f-asymptotically lacunary I-invariant equivalence, strongly f-asymptotically lacunary I-invariant equivalence and asymptotically lacunary I-invariant statistical equivalence for sequences of sets.
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Key Findings & Data:In this paper, we introduce the concepts of strongly asymptotically lacunary I-invariant equivalence, f-asymptotically lacunary I-invariant equivalence, strongly f-asymptotically lacunary I-invariant equivalence and asymptotically lacunary I-invariant statistical equivalence for sequences of sets.
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Conclusion & Impact:Also, we investigate some relationships among these concepts.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Asymptotic equivalence · modulus function · I-convergence
Abstract
In this paper, we introduce the concepts of strongly asymptotically lacunary I-invariant equivalence, f-asymptotically lacunary I-invariant equivalence, strongly f-asymptotically lacunary I-invariant equivalence and asymptotically lacunary I-invariant statistical equivalence for sequences of sets. Also, we investigate some relationships among these concepts.
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Cite This Article
DUNDAR, E., AKIN, N. P., ULUSU, U. (2018). Asymptotically Lacunary I-Invariant Statistical Equivalence of Sequences of Sets Defined By A Modulus Function. Sakarya University Journal of Science, Cilt: 22 Sayı: 6, 1857–1862. https://ajindex.com/articles/942112