{"title":"正交多项式的伯格曼核的极值问题","authors":"S. Charpentier, N. Levenberg, F. Wielonsky","doi":"10.1007/s00365-023-09677-7","DOIUrl":null,"url":null,"abstract":"<p>Let <span>\\(\\Gamma \\subset \\mathbb {C}\\)</span> be a curve of class <span>\\(C(1,\\alpha )\\)</span>. For <span>\\(z_{0}\\)</span> in the unbounded component of <span>\\(\\mathbb {C}\\setminus \\Gamma \\)</span>, and for <span>\\(n=1,2,...\\)</span>, let <span>\\(\\nu _n\\)</span> be a probability measure with <span>\\(\\mathop {\\textrm{supp}}\\nolimits (\\nu _{n})\\subset \\Gamma \\)</span> which minimizes the Bergman function <span>\\(B_{n}(\\nu ,z):=\\sum _{k=0}^{n}|q_{k}^{\\nu }(z)|^{2}\\)</span> at <span>\\(z_{0}\\)</span> among all probability measures <span>\\(\\nu \\)</span> on <span>\\(\\Gamma \\)</span> (here, <span>\\(\\{q_{0}^{\\nu },\\ldots ,q_{n}^{\\nu }\\}\\)</span> are an orthonormal basis in <span>\\(L^2(\\nu )\\)</span> for the holomorphic polynomials of degree at most <i>n</i>). We show that <span>\\(\\{\\nu _{n}\\}_n\\)</span> tends weak-* to <span>\\({{\\widehat{\\delta }}}_{z_{0}}\\)</span>, the balayage of the point mass at <span>\\(z_0\\)</span> onto <span>\\(\\Gamma \\)</span>, by relating this to an optimization problem for probability measures on the unit circle. Our proof makes use of estimates for Faber polynomials associated to <span>\\(\\Gamma \\)</span>.\n</p>","PeriodicalId":50621,"journal":{"name":"Constructive Approximation","volume":"150 1","pages":""},"PeriodicalIF":2.3000,"publicationDate":"2024-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An Extremal Problem for the Bergman Kernel of Orthogonal Polynomials\",\"authors\":\"S. Charpentier, N. Levenberg, F. Wielonsky\",\"doi\":\"10.1007/s00365-023-09677-7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Let <span>\\\\(\\\\Gamma \\\\subset \\\\mathbb {C}\\\\)</span> be a curve of class <span>\\\\(C(1,\\\\alpha )\\\\)</span>. For <span>\\\\(z_{0}\\\\)</span> in the unbounded component of <span>\\\\(\\\\mathbb {C}\\\\setminus \\\\Gamma \\\\)</span>, and for <span>\\\\(n=1,2,...\\\\)</span>, let <span>\\\\(\\\\nu _n\\\\)</span> be a probability measure with <span>\\\\(\\\\mathop {\\\\textrm{supp}}\\\\nolimits (\\\\nu _{n})\\\\subset \\\\Gamma \\\\)</span> which minimizes the Bergman function <span>\\\\(B_{n}(\\\\nu ,z):=\\\\sum _{k=0}^{n}|q_{k}^{\\\\nu }(z)|^{2}\\\\)</span> at <span>\\\\(z_{0}\\\\)</span> among all probability measures <span>\\\\(\\\\nu \\\\)</span> on <span>\\\\(\\\\Gamma \\\\)</span> (here, <span>\\\\(\\\\{q_{0}^{\\\\nu },\\\\ldots ,q_{n}^{\\\\nu }\\\\}\\\\)</span> are an orthonormal basis in <span>\\\\(L^2(\\\\nu )\\\\)</span> for the holomorphic polynomials of degree at most <i>n</i>). We show that <span>\\\\(\\\\{\\\\nu _{n}\\\\}_n\\\\)</span> tends weak-* to <span>\\\\({{\\\\widehat{\\\\delta }}}_{z_{0}}\\\\)</span>, the balayage of the point mass at <span>\\\\(z_0\\\\)</span> onto <span>\\\\(\\\\Gamma \\\\)</span>, by relating this to an optimization problem for probability measures on the unit circle. Our proof makes use of estimates for Faber polynomials associated to <span>\\\\(\\\\Gamma \\\\)</span>.\\n</p>\",\"PeriodicalId\":50621,\"journal\":{\"name\":\"Constructive Approximation\",\"volume\":\"150 1\",\"pages\":\"\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2024-01-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Constructive Approximation\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://doi.org/10.1007/s00365-023-09677-7\",\"RegionNum\":2,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MATHEMATICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Constructive Approximation","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1007/s00365-023-09677-7","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS","Score":null,"Total":0}
引用次数: 0
摘要
让(\Gamma \subset \mathbb {C}\)是一条类(C(1,\alpha )\)的曲线。对于 \(z_{0}\) in the unbounded component of \(\mathbb {C}\setminus \Gamma \),并且对于 \(n=1,2,......\),让 \(\nu _n\) 是一个概率度量,它具有 \(\mathop {\textrm{supp}}\nolimits (\nu _{n})\subset \Gamma \),它使伯格曼函数 \(B_{n}(\nu ,z):=sum _{k=0}^{n}|q_{k}^{\nu }(z)|^{2}\) at \(z_{0}\) among all probability measures \(\nu \) on \(\Gamma \) (here, \(\{q_{0}^{\nu }、\)是(L^2(\nu )\) 中最多有 n 度的全多项式的正交基)。我们证明了 \(\{\nu _{n}\}_n\) 弱-*趋向于 \({{\widehat\{delta}}}_{z_{0}\}),即在\(z_0\) 处的点质量到 \(\Gamma \)上的 balayage,并将其与单位圆上概率度量的优化问题联系起来。我们的证明利用了与\(\Gamma \)相关的法布尔多项式的估计值。
An Extremal Problem for the Bergman Kernel of Orthogonal Polynomials
Let \(\Gamma \subset \mathbb {C}\) be a curve of class \(C(1,\alpha )\). For \(z_{0}\) in the unbounded component of \(\mathbb {C}\setminus \Gamma \), and for \(n=1,2,...\), let \(\nu _n\) be a probability measure with \(\mathop {\textrm{supp}}\nolimits (\nu _{n})\subset \Gamma \) which minimizes the Bergman function \(B_{n}(\nu ,z):=\sum _{k=0}^{n}|q_{k}^{\nu }(z)|^{2}\) at \(z_{0}\) among all probability measures \(\nu \) on \(\Gamma \) (here, \(\{q_{0}^{\nu },\ldots ,q_{n}^{\nu }\}\) are an orthonormal basis in \(L^2(\nu )\) for the holomorphic polynomials of degree at most n). We show that \(\{\nu _{n}\}_n\) tends weak-* to \({{\widehat{\delta }}}_{z_{0}}\), the balayage of the point mass at \(z_0\) onto \(\Gamma \), by relating this to an optimization problem for probability measures on the unit circle. Our proof makes use of estimates for Faber polynomials associated to \(\Gamma \).
期刊介绍:
Constructive Approximation is an international mathematics journal dedicated to Approximations and Expansions and related research in computation, function theory, functional analysis, interpolation spaces and interpolation of operators, numerical analysis, space of functions, special functions, and applications.