Weighted estimates of the Bergman projection with matrix weights

preprint2022arXivOpen access

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-Constantin and obtain the following estimate for the weighted norm of PP: ∥P∥L2(Ω,W)≤C(B2(W))2.\|P\|_{L^2(Ω,W)}\leq C(\mathcal B_2(W))^{2}. Here B2(W)\mathcal B_2(W) is the Bekollé-Bonami constant for the matrix weight WW and CC is a constant that is independent of the weight WW but depends upon the dimension and the domain.

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