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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
Several other new results are also obtained.
📌 3 Key Takeaways
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Objective & Hypothesis:In this paper, we introduce a new subclass $K_s(lambda,A,B)$ of close-to- convex functions.
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Key Findings & Data:Such results as inclusion relationships, coefficient estimates, distortion and covering theorems for this class are proved.
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Conclusion & Impact:Several other new results are also obtained.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters
Abstract
In this paper, we introduce a new subclass $K_s(lambda,A,B)$ of close-to- convex functions. Such results as inclusion relationships, coefficient estimates, distortion and covering theorems for this class are proved. The results presented here would provide extensions of those given in earlier works. Several other new results are also obtained.
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Cite This Article
WANG, Z., CHEN, D. (2022). On a subclass of close-to-convex functıons. Hacettepe Journal of Mathematics and Statistics, Cilt: 38 - Sayı: 2, 95–101. https://ajindex.com/articles/530689