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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
Further, we generalize some of the previousoutcomes.
📌 3 Key Takeaways
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Objective & Hypothesis:In this work, the Faber polynomial expansions and a different method were employed toestimate the |𝑎𝑛| coefficients of a subclass of bi-close-to-convex functions, which is introducedby subordination concept in the open unit disk.
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Key Findings & Data:In this work, the Faber polynomial expansions and a different method were employed toestimate the |𝑎𝑛| coefficients of a subclass of bi-close-to-convex functions, which is introducedby subordination concept in the open unit disk.
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Conclusion & Impact:Further, we generalize some of the previousoutcomes.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters
Abstract
In this work, the Faber polynomial expansions and a different method were employed toestimate the |𝑎𝑛| coefficients of a subclass of bi-close-to-convex functions, which is introducedby subordination concept in the open unit disk. Further, we generalize some of the previousoutcomes.
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Cite This Article
JAFARI, M., ZIREH, A., ADEGANI, E. A. (2022). Faber Polynomial Coefficient Estimates for Analytic Bi-Close-to-Convex Functions Defined by Subordination. Gazi University Journal of Science, Cilt: 32 - Sayı: 2, 637–647. https://ajindex.com/articles/521347