一些多重对称双等价函数类及其相关的泰勒-麦克劳林系数边界

IF 1.5 3区 数学 Q1 MATHEMATICS
Hari Mohan Srivastava, Pishtiwan Othman Sabir, Sevtap Sümer Eker, Abbas Kareem Wanas, Pshtiwan Othman Mohammed, Nejmeddine Chorfi, Dumitru Baleanu
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引用次数: 0

摘要

本文利用鲁斯切韦赫导数算子引入并研究了函数类 $\Sigma_{m}$ 的 m 倍对称双等价解析函数的有趣一般子类。初始泰勒-麦克劳林系数 $\vert a_{m+1} 和 $\vert a_{m+1} 的估计值。\和 $\vert a_{2 m+1}\得到了本研究中引入的子类函数的估计值,并讨论了这些结果的后果。此外,还研究了这些类的 Fekete-Szegö 不等式。本文提出的结果可以概括和改进一些近期和早期的工作。在某些情况下,我们的估计值优于现有的系数边界。此外,在工程领域,利用 Ruscheweyh 导数算子可以涵盖广泛的工程应用,包括机器人操纵控制、优化光学系统、天线阵列信号处理、图像压缩和控制系统滤波器设计。它强调了创新解决方案的潜力,可显著提高工程应用的可靠性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Some m-fold symmetric bi-univalent function classes and their associated Taylor-Maclaurin coefficient bounds
The Ruscheweyh derivative operator is used in this paper to introduce and investigate interesting general subclasses of the function class $\Sigma_{m}$ of m-fold symmetric bi-univalent analytic functions. Estimates of the initial Taylor-Maclaurin coefficients $\vert a_{m+1} \vert $ and $\vert a_{2 m+1} \vert $ are obtained for functions of the subclasses introduced in this study, and the consequences of the results are discussed. Additionally, the Fekete-Szegö inequalities for these classes are investigated. The results presented could generalize and improve some recent and earlier works. In some cases, our estimates are better than the existing coefficient bounds. Furthermore, within the engineering domain, the utilization of the Ruscheweyh derivative operator can encompass a broad spectrum of engineering applications, including the robotic manipulation control, optimizing optical systems, antenna array signal processing, image compression, and control system filter design. It emphasizes the potential for innovative solutions that can significantly enhance the reliability and effectiveness of engineering applications.
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来源期刊
自引率
6.20%
发文量
136
期刊介绍: The aim of this journal is to provide a multi-disciplinary forum of discussion in mathematics and its applications in which the essentiality of inequalities is highlighted. This Journal accepts high quality articles containing original research results and survey articles of exceptional merit. Subject matters should be strongly related to inequalities, such as, but not restricted to, the following: inequalities in analysis, inequalities in approximation theory, inequalities in combinatorics, inequalities in economics, inequalities in geometry, inequalities in mechanics, inequalities in optimization, inequalities in stochastic analysis and applications.
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