Weighted estimates of the Bergman projection with matrix weights

Zhenghui Huo, Brett D. Wick

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

We establish a weighted inequality for the Bergman projection with matrix weights for a class of pseudoconvex domains. We extend a result of Aleman and Constantin and obtain the following estimate for the weighted norm of P: ∥P∥L2(Ω,W)≤C(B2(W))2. Here B2(W) is the Bekollé–Bonami constant for the matrix weight W and C is a constant that is independent of the weight W but depends upon the dimension and the domain.

Original languageEnglish
Title of host publicationRecent Progress in Function Theory and Operator Theory - AMS Special Session Recent Progress in Function Theory and Operator Theory, 2022
EditorsAlberto A. Condori, Elodie Pozzi, William T. Ross, Alan A. Sola
PublisherAmerican Mathematical Society
Pages53-73
Number of pages21
ISBN (Print)9781470472467
DOIs
StatePublished - 2024
EventAMS Special Session on Recent Progress in Function Theory and Operator Theory, 2022 - Virtual, Online
Duration: Apr 6 2022Apr 6 2022

Publication series

NameContemporary Mathematics
Volume799
ISSN (Print)0271-4132
ISSN (Electronic)1098-3627

Conference

ConferenceAMS Special Session on Recent Progress in Function Theory and Operator Theory, 2022
CityVirtual, Online
Period04/6/2204/6/22

Keywords

  • Bergman kernel
  • Bergman projection
  • weighted inequality

Fingerprint

Dive into the research topics of 'Weighted estimates of the Bergman projection with matrix weights'. Together they form a unique fingerprint.

Cite this