Rational Approximation by Reproducing Kernel for Bergman Functions on Siegel Domains

ABSTRACT Based on recent developments of reproducing kernels in several complex variables, we study the kernel approximation for weighted Bergman functions on Siegel domains. To overcome the difficulties arising in Siegel domains, a new method is proposed in the proof of boundary vanishing property (BVP) at infinity by adopting the biholomorphic invariance property of weighted kernel functions. Once the BVP is verified, optimal parameters are selected and the corresponding orthogonal functions are constructed by induction according to the maximal selection principle.

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Publication Details

Journal
Mathematical Methods in the Applied Sciences
Published
2025-01-27
DOI
https://doi.org/10.1002/mma.10761
Primary Topic
Algebraic and Geometric Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

Rational Approximation by Reproducing Kernel for Bergman Functions on Siegel Domains

Dawei Zhang, Yun Huang
Mathematical Methods in the Applied Sciences
Algebraic and Geometric Analysis
article

Rational Approximation by Reproducing Kernel for Bergman Functions on Siegel Domains

Dawei Zhang, Yun Huang
article en

Abstract

ABSTRACT Based on recent developments of reproducing kernels in several complex variables, we study the kernel approximation for weighted Bergman functions on Siegel domains. To overcome the difficulties arising in Siegel domains, a new method is proposed in the proof of boundary vanishing property (BVP) at infinity by adopting the biholomorphic invariance property of weighted kernel functions. Once the BVP is verified, optimal parameters are selected and the corresponding orthogonal functions are constructed by induction according to the maximal selection principle.

Mathematical Methods in the Applied SciencesVol. 48(8)
Foshan University (CN), Zhongkai University of Agriculture and Engineering (CN)
National Natural Science Foundation of China, Basic and Applied Basic Research Foundation of Guangdong Province
Openalex Percentile: Top 98%
Algebraic and Geometric Analysis
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