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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
Two additional integral inequalities are presented to demonstrate the applicability of the main result.
📌 3 Key Takeaways
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Objective & Hypothesis:This article establishes a new trigonometric-Hardy-Hilbert-type integral inequality involving a cosine-difference kernel function.
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Key Findings & Data:The proof relies on several changes of variables and a well-known variation of the Hardy-Hilbert integral inequality.
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Conclusion & Impact:Two additional integral inequalities are presented to demonstrate the applicability of the main result.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Hardy-Hilbert-type integral inequality · Trigonometric functions · Sharp constant factor
Abstract
This article establishes a new trigonometric-Hardy-Hilbert-type integral inequality involving a cosine-difference kernel function. The proof relies on several changes of variables and a well-known variation of the Hardy-Hilbert integral inequality. A sharp constant factor is obtained. Two additional integral inequalities are presented to demonstrate the applicability of the main result.
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Cite This Article
Chesneau, C. (2026). On a Trigonometric-Hardy-Hilbert Integral Inequality Based on a Cosine-Difference Kernel Function. Fundamental Journal of Mathematics and Applications, Volume: 9 Issue: 1. https://doi.org/10.33401/fujma.1850354