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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
Finally, we characterize the classes of matrix mappings from the new paranormedsequence spaces to the spaces µ(q) for µ ∈ {c, ,∞}
📌 3 Key Takeaways
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Objective & Hypothesis:In this study, we define new paranormed sequence spaces c0(u, v; p, G) and c(u, v; p, G) by combining a generalized weighted mean and a generalized difference operatorB = B(r, s, t).
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Key Findings & Data:Furthermore, we compute the α− and β− dualsand obtain bases for these sequence spaces.
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Conclusion & Impact:Finally, we characterize the classes of matrix mappings from the new paranormedsequence spaces to the spaces µ(q) for µ ∈ {c, ,∞}
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters
Abstract
In this study, we define new paranormed sequence spaces c0(u, v; p, G) and c(u, v; p, G) by combining a generalized weighted mean and a generalized difference operatorB = B(r, s, t). Furthermore, we compute the α− and β− dualsand obtain bases for these sequence spaces. Finally, we characterize the classes of matrix mappings from the new paranormedsequence spaces to the spaces µ(q) for µ ∈ {c, ,∞}
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Cite This Article
Duyar, O. (2014). On Some New Paranormed Sequence Spaces and Their Topological Properties. Journal of New Results in Science, Cilt: 3 - Sayı: 6, 32–43. https://ajindex.com/articles/777946