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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
Inaddition, some applications related to the obtained results are given.
📌 3 Key Takeaways
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Objective & Hypothesis:The main purpose of the presented paper is to determine some lower bounds for thequotient of the normalized hyper-Bessel function and its partial sum, as well as for thequotient of the derivative of normalized hyper-Bessel function and its partial sum.
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Key Findings & Data:The main purpose of the presented paper is to determine some lower bounds for thequotient of the normalized hyper-Bessel function and its partial sum, as well as for thequotient of the derivative of normalized hyper-Bessel function and its partial sum.
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Conclusion & Impact:Inaddition, some applications related to the obtained results are given.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters
Abstract
The main purpose of the presented paper is to determine some lower bounds for thequotient of the normalized hyper-Bessel function and its partial sum, as well as for thequotient of the derivative of normalized hyper-Bessel function and its partial sum. Inaddition, some applications related to the obtained results are given.
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Cite This Article
AKTAŞ, İ. (2022). Partial sums of hyper-Bessel function withapplications. Hacettepe Journal of Mathematics and Statistics, Cilt: 49 - Sayı: 1, 380–388. https://ajindex.com/articles/529585