✨
AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
Also, we investigate some relationships among these concepts.
📌 3 Key Takeaways
🎯
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.
📊
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.
💡
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.
🔖
Cite This Article
Dundar, E., Akın, 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, Volume: 22 Issue: 6. https://doi.org/10.16984/saufenbilder.445147