Best kernel approximation in Bergman spaces

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摘要

Let H be a reproducing kernel Hilbert space of analytic functions on the unit disk D. The best kernel approximation problem for H is the following: given any positive integer n and any function f∈H find the best norm approximation of f by a linear combination of no more than n kernel functions K(z,zk), 1≤k≤n. The purpose of this paper is to prove the existence of best kernel approximation for weighted Bergman spaces with standard weights.

论文关键词:Bergman space,Reproducing kernel hilbert space,Blaschke product,Best kernel approximation

论文评审过程:Received 23 June 2021, Revised 17 September 2021, Accepted 17 October 2021, Available online 10 November 2021, Version of Record 10 November 2021.

论文官网地址:https://doi.org/10.1016/j.amc.2021.126749