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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
With the help of this inequality some characterizations about the vertical motion and the horizontal divergence are obtained.
📌 3 Key Takeaways
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Objective & Hypothesis:In this paper, an optimal inequality involving the delta curvature is exposed.
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Key Findings & Data:In this paper, an optimal inequality involving the delta curvature is exposed.
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Conclusion & Impact:With the help of this inequality some characterizations about the vertical motion and the horizontal divergence are obtained.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Curvature · Riemannian submersion · horizontal divergence
Abstract
In this paper, an optimal inequality involving the delta curvature is exposed. With the help of this inequality some characterizations about the vertical motion and the horizontal divergence are obtained.
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Cite This Article
Gülbahar, M., Meriç, Ş. E., Kılıç, E. (2022). Chen invariants for Riemannian submersions and their applications. Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics, Volume: 71 Issue: 4. https://doi.org/10.31801/cfsuasmas.990670