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Narasimhan–Simha-type metrics on strongly pseudoconvex domains in

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dc.contributor.author BORAH, DIGANTA en_US
dc.contributor.author Verma, Kaushal en_US
dc.date.accessioned 2022-06-16T04:23:35Z
dc.date.available 2022-06-16T04:23:35Z
dc.date.issued 2022-05 en_US
dc.identifier.citation Complex Variables and Elliptic Equations. en_US
dc.identifier.issn 1747-6933 en_US
dc.identifier.issn 1747-6941 en_US
dc.identifier.uri https://doi.org/10.1080/17476933.2022.2069758 en_US
dc.identifier.uri http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/7094
dc.description.abstract For a bounded domain D⊂Cn, let KD=KD(z)>0 denote the Bergman kernel on the diagonal and consider the reproducing kernel Hilbert space of holomorphic functions on D that are square integrable with respect to the weight K−dD, where d≥0 is an integer. The corresponding weighted kernel KD,d transforms appropriately under biholomorphisms and hence produces an invariant Kähler metric on D. Thus, there is a hierarchy of such metrics starting with the classical Bergman metric that corresponds to the case d = 0. This note is an attempt to study this class of metrics in much the same way as the Bergman metric has been with a view towards identifying properties that are common to this family. When D is strongly pseudoconvex, the scaling principle is used to obtain the boundary asymptotics of these metrics and several invariants associated with them. It turns out that all these metrics are complete on strongly pseudoconvex domains. en_US
dc.language.iso en en_US
dc.publisher Talor & Francis en_US
dc.subject Narasimhan–Simha-type metrics en_US
dc.subject Weighted Bergman kernel en_US
dc.subject Boundary behaviour en_US
dc.subject 2022-JUN-WEEK3 en_US
dc.subject TOC-JUN-2022 en_US
dc.subject 2022 en_US
dc.title Narasimhan–Simha-type metrics on strongly pseudoconvex domains in en_US
dc.type Article en_US
dc.contributor.department Dept. of Mathematics en_US
dc.identifier.sourcetitle Complex Variables and Elliptic Equations en_US
dc.publication.originofpublisher Foreign en_US


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