用薛定谔 L 系统实现逆斯蒂尔杰斯函数 $$(-m_\alpha (z))$$

IF 0.7 4区 数学 Q2 MATHEMATICS Complex Analysis and Operator Theory Pub Date : 2024-05-30 DOI:10.1007/s11785-024-01522-4
S. Belyi, E. Tsekanovskiĭ
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引用次数: 0

摘要

我们研究了由原始韦尔-蒂奇马什函数\(m_\alpha (z)\)产生的L系统实现。在最小对称薛定谔算子为非负的情况下,我们描述了实现逆斯蒂尔杰斯函数((-m_\alpha (z))的薛定谔L-系统。)通过这种方法,我们可以推导出函数 \((-m_\alpha (z))\) 成为反斯蒂尔杰斯函数的必要条件和充分条件。特别是提供了 \((-m_\infty (z))\) 是反 Stieltjes 函数的标准。此外,我们还证明了值\(m_\infty (-0)\)和参数\(\alpha \)的知识允许我们描述实现\((-m_\alpha (z))\的L系统的几何结构。)此外,当实现((-m_\alpha (z))的L-系统的主算子和相关算子具有相同或相似的性质时,我们用参数(\(α \))给出了条件。L 系统具有相同或不同的扇形角,这就与扇形的扇形扩展的加藤问题建立了联系。本文最后将举例说明所获得的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Realization of Inverse Stieltjes Functions $$(-m_\alpha (z))$$ by Schrödinger L-Systems

We study L-system realizations generated by the original Weyl–Titchmarsh functions \(m_\alpha (z)\). In the case when the minimal symmetric Schrödinger operator is non-negative, we describe Schrödinger L-systems that realize inverse Stieltjes functions \((-m_\alpha (z))\). This approach allows to derive a necessary and sufficient conditions for the functions \((-m_\alpha (z))\) to be inverse Stieltjes. In particular, the criteria when \((-m_\infty (z))\) is an inverse Stieltjes function is provided. Moreover, it is shown that the knowledge of the value \(m_\infty (-0)\) and parameter \(\alpha \) allows us to describe the geometric structure of the L-system realizing \((-m_\alpha (z))\). Additionally, we present the conditions in terms of the parameter \(\alpha \) when the main and associated operators of a realizing \((-m_\alpha (z))\) L-system have the same or different angle of sectoriality which sets connections with the Kato problem on sectorial extensions of sectorial forms. An example that illustrates the obtained results is presented in the end of the paper.

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来源期刊
CiteScore
1.20
自引率
12.50%
发文量
107
审稿时长
3 months
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.
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