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Advances in Mathematics
Article . 2022 . Peer-reviewed
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Article . 2022
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https://dx.doi.org/10.48550/ar...
Article . 2019
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Subelliptic estimates from Gromov hyperbolicity

Authors: Zimmer, Andrew;

Subelliptic estimates from Gromov hyperbolicity

Abstract

In this paper we prove: if the complete K��hler-Einstein metric on a bounded convex domain (with no boundary regularity assumptions) is Gromov hyperbolic, then the $\bar{\partial}$-Neumann problem satisfies a subelliptic estimate. This is accomplished by constructing bounded plurisubharmonic function whose Hessian grows at a certain rate (which implies a subelliptic estimate by work of Catlin and Straube). We also provide a characterization of Gromov hyperbolicity in terms of orbit of the domain under the group of affine transformations. This characterization allows us to construct many examples. For instance, if the Hilbert metric on a bounded convex domain is Gromov hyperbolic, then the K��hler-Einstein metric is as well.

73 pages. Final version, to appear in Advances in Mathematics

Related Organizations
Keywords

subelliptic estimates, Mathematics - Differential Geometry, Kähler-Einstein manifolds, Global geometric and topological methods (à la Gromov); differential geometric analysis on metric spaces, Kobayashi metric, Mathematics - Complex Variables, Gromov hyperbolic metric space, Functional Analysis (math.FA), Mathematics - Functional Analysis, Kähler-Einstein metric, Differential Geometry (math.DG), FOS: Mathematics, \(\bar{\partial}\)-Neumann problem, Complex Variables (math.CV), Invariant metrics and pseudodistances in several complex variables

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Top 10%
Average
Top 10%
Green