Rawnsley’s $$\varepsilon $$ -Function on a Class of Bounded Hartogs Domains and its Applications

IF 0.7 4区 数学 Q2 MATHEMATICS Complex Analysis and Operator Theory Pub Date : 2024-06-21 DOI:10.1007/s11785-024-01562-w
Shuo Zhang
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Abstract

In this paper, by using the hypergeometric functions, we obtain the formula for the Rawnsley’s \(\varepsilon \)-function of the Kähler manifold \((H^n_{\{k_i\},\gamma },g_{\mu ,\nu })\) with \(\mu \in ({\mathbb {R}}^+)^l\) and \(\nu \in ({\mathbb {R}}^+)^{n-k}\), where \(H^n_{\{k_i\},\gamma }\) is a class of bounded Hartogs domains defined by

$$\begin{aligned} H^n_{\{k_i\},\gamma }:=\big \{z\in {\mathbb {C}}^n:\max _{1\le i\le l}\Vert {\widetilde{z}}_i\Vert<|z_{k+1}|^\gamma<\ldots<|z_n|^\gamma <1\big \} \end{aligned}$$

and \(g_{\mu ,\nu }\) is a Kähler metric associated with the Kähler potential \(-\sum _{i=1}^l\mu _i\ln (|z_{k+1}|^{2\gamma }-\Vert {\widetilde{z}}_i\Vert ^2)-\sum _{j=k+1}^n\nu _j\ln (|z_{j+1}|^2-|z_j|^2)\). As applications of the main result, we obtain the existence of balanced metrics on \(H^n_{\{k_i\},\gamma }\) and prove that \(H^n_{\{k_i\},\gamma }\) admits a Berezin quantization.

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Rawnsley's $$varepsilon $$ -Function on a Class of Bounded Hartogs Domains 及其应用
在本文中,通过使用超几何函数,我们得到了 Kähler 流形 \((H^n_{\{k_i\},\gamma },g_{\mu ...) 的 Rawnsley 的 \(\varepsilon \)-函数公式、\({/mathbb{R}}^+)^l\)和 ({/mathbb{R}}^+)^{n-k}\),其中 (H^n_{k_i\}、\是一类有界哈托格域,定义为: $$begin{aligned} H^n_{{k_i\},\gamma }:=\big \{z\in {\mathbb {C}}^n:\max _{1\le i\le l}\Vert {\widetilde{z}}_i\Vert<|z_{k+1}|^\gamma<\ldots<|z_n|^\gamma <1\big \}\end{aligned}$$和 (g_{\mu 、\nu }\) 是与凯勒势 \(-\sum _{i=1}^l\mu _i\ln (|z_{k+1}|^{2\gamma }-\Vert {\widetilde{z}}_i\Vert ^2)-\sum _{j=k+1}^n\nu _j\ln (|z_{j+1}|^2-|z_j|^2)\) 相关的凯勒度量。作为主要结果的应用,我们得到了 \(H^n_{\{k_i\},\gamma }\) 上平衡度量的存在,并证明 \(H^n_{\{k_i\},\gamma }\) 允许贝雷津量子化。
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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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