{"title":"Automorphic Carathéodory–Julia Theorem","authors":"Alexander Kheifets","doi":"10.1007/s11785-024-01527-z","DOIUrl":null,"url":null,"abstract":"<p>Let <span>\\(w(\\zeta )\\)</span> be a function analytic on <span>\\({{\\mathbb {D}}}\\)</span>, <span>\\(|w(\\zeta )|\\le 1\\)</span>. Let <span>\\(|t_0|=1\\)</span>. Assume that <i>w</i> and <span>\\(w'\\)</span> have nontangential boundary values <span>\\(w_0\\)</span> and <span>\\(w'_0\\)</span>, respectively, at <span>\\(t_0\\)</span>, <span>\\(|w_0|=1\\)</span>. Then (Carathéodory–Julia) <span>\\(t_0\\dfrac{w'_0}{w_0}\\ge 0\\)</span>. The goal of this paper is to obtain a lower bound on this ratio if <i>w</i> is character-automorphic with respect to a Fuchsian group (Theorem 6.1).</p>","PeriodicalId":50654,"journal":{"name":"Complex Analysis and Operator Theory","volume":"133 1","pages":""},"PeriodicalIF":0.7000,"publicationDate":"2024-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Complex Analysis and Operator Theory","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1007/s11785-024-01527-z","RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATHEMATICS","Score":null,"Total":0}
引用次数: 0
Abstract
Let \(w(\zeta )\) be a function analytic on \({{\mathbb {D}}}\), \(|w(\zeta )|\le 1\). Let \(|t_0|=1\). Assume that w and \(w'\) have nontangential boundary values \(w_0\) and \(w'_0\), respectively, at \(t_0\), \(|w_0|=1\). Then (Carathéodory–Julia) \(t_0\dfrac{w'_0}{w_0}\ge 0\). The goal of this paper is to obtain a lower bound on this ratio if w is character-automorphic with respect to a Fuchsian group (Theorem 6.1).
期刊介绍:
Complex Analysis and Operator Theory (CAOT) is devoted to the publication of current research developments in the closely related fields of complex analysis and operator theory as well as in applications to system theory, harmonic analysis, probability, statistics, learning theory, mathematical physics and other related fields. Articles using the theory of reproducing kernel spaces are in particular welcomed.