Gol’dberg-Grinshtein型对数导数估计
Gol’dberg-Grinshtein Type Logarithmic Derivative Estimation
DOI: 10.12677/PM.2017.76059, PDF, HTML, XML, 下载: 1,317  浏览: 3,163  科研立项经费支持
作者: 李 升, 陈宝琴：广东海洋大学数学与计算机学院，广东 湛江
关键词: 亚纯函数；Nevanlinna理论；对数导数；Meromorphic Functions； Nevanlinna Theory； Logarithmic Derivatives
摘要: 通过应用改进的Kolokolniov引理，考虑Gol'dberg-Grinshtein型对数导数估计，将现有结果中的常数改进为4.5206。特别地，对零点和极点都是实数的亚纯函数，将相应的常数改进为3.8018。
Abstract: By applying the improved Kolokolniov lemma to investigate the Gol’dberg-Grinshtein type logarithmic derivative estimation, the constant in the existing results are improved to 4.5206. In particularly, for the case that all zeros and poles of the meromorphic function are real numbers, the constant is improved to 3.8018.
文章引用：李升, 陈宝琴. Gol’dberg-Grinshtein型对数导数估计[J]. 理论数学, 2017, 7(6): 454-460. https://doi.org/10.12677/PM.2017.76059

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