Weighted generalization of the Ramadanov theorem and further considerations
Zbigniew Pasternak-Winiarski (Warsaw), Pawe{\l} M. W\'ojcicki, (Warsaw)

TL;DR
This paper investigates the convergence behavior of weighted Bergman kernels on complex domains, providing a weighted generalization of Ramadanov's theorem and characterizing domains where inverse convergence holds.
Contribution
It introduces a weighted version of Ramadanov's theorem, establishing conditions for uniform convergence of weighted Bergman kernels and characterizing domains with inverse convergence properties.
Findings
Weighted Bergman kernels converge uniformly under certain conditions.
A weighted generalization of Ramadanov's theorem is established.
Convergence implies specific domain properties, characterizing inverse theorem applicability.
Abstract
We study the limit behavior of weighted Bergman kernels on a sequence of domains in a complex space , and show that under some conditions on domains and weights, weighed Bergman kernels converge uniformly on compact sets. Then we give a weighted generalization of the theorem given in [S, p. 38], highlighting some special property of the domains, on which the weighted Bergman kernels converge uniformly. Moreover we will show that convergence of weighted Bergman kernels implies this property, which will give a characterization of the domains, for which the inverse of Ramadanov theorem holds.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Mathematical Theories and Applications · Advanced Mathematical Identities · Analytic Number Theory Research
