2020
DOI: 10.48550/arxiv.2001.07868
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Bekollé-Bonami estimates on some pseudoconvex domains

Abstract: We establish a weighted L p norm estimate for the Bergman projection for a class of pseudoconvex domains. We obtain an upper bound for the weighted L p norm when the domain is, for example, a bounded smooth strictly pseudoconvex domain, a pseudoconvex domain of finite type in C 2 , a convex domain of finite type in C n , or a decoupled domain of finite type in C n . The upper bound is related to the Bekollé-Bonami constant and is sharp. When the domain is smooth, bounded, and strictly pseudoconvex, we also obt… Show more

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Cited by 5 publications
(3 citation statements)
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“…The estimates (2.3) are sometimes referred as the Bekollé-Bonami estimates. We also refer to [HWW20b,HWW20a] for a generalization on pseudoconvex domains. This chain of equivalences implies that smoothness of the conformal map F on the closure of the domains determines the regularity of the Bergman kernel and therefore also the estimates on the projection operator.…”
Section: The Class a +mentioning
confidence: 99%
See 1 more Smart Citation
“…The estimates (2.3) are sometimes referred as the Bekollé-Bonami estimates. We also refer to [HWW20b,HWW20a] for a generalization on pseudoconvex domains. This chain of equivalences implies that smoothness of the conformal map F on the closure of the domains determines the regularity of the Bergman kernel and therefore also the estimates on the projection operator.…”
Section: The Class a +mentioning
confidence: 99%
“…Furthermore, relate the operator norm of B Ω to the weight σ. Recently, [HWW20b] and [HWW20a] answered this question on some pseudoconvex domains on which sharp off-diagonal estimates on the Bergman kernel are known. They use a careful construction of dyadic decomposition on these domains by generalizing Carleson tents on the unit disc.…”
Section: Open Problemsmentioning
confidence: 99%
“…Note that there are extensive recent studies on the Bekollé-Bonami estimates (cf. [HW,HWW1,HWW2] and the references therein).…”
Section: Introductionmentioning
confidence: 99%