2012
DOI: 10.4064/ap104-2-4
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The Bergman projection in spaces of entire functions

Abstract: We establish L p -estimates for the weighted Bergman projection on a nonsingular cone. We apply these results to the weighted Fock space with respect to the minimal norm in C n .

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Cited by 4 publications
(4 citation statements)
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“…We leave the details to the interested reader. For m = 1, (20) recovers the formula from Gonessa and Youssfi [12].…”
Section: Tyz Expansionsmentioning
confidence: 71%
See 1 more Smart Citation
“…We leave the details to the interested reader. For m = 1, (20) recovers the formula from Gonessa and Youssfi [12].…”
Section: Tyz Expansionsmentioning
confidence: 71%
“…Here R φ is the square root of the radius of convergence of the series (11). We let L 2 φ (C n ) denote the space of all measurable functions f in C n verifying (12). Finally, we define the operators ∆ j , j = 0, 1, acting on power series in z by their actions on the monomials z m as follows…”
Section: Reproducing Kernelsmentioning
confidence: 99%
“…If N is any complex norm in C n such that N 2 (x) = x 2 = n j=1 x 2 j for x ∈ R n and N (z) = z for z ∈ C n , then N * (z)/ √ 2 ≤ N (z) for z ∈ C n . Moreover, this norm was shown to be of interest in the study of several problems related to proper holomorphic mappings and the Bergman kernel, see [7,8,13,14,15] for example. For any s > 0 and 0 < p ≤ ∞ we let L p s denote the space of Lebesgue mesurable functions f on C n such that f e −φ ∈ L p (C n , ρ −2 dA).…”
Section: Introduction and Main Resultmentioning
confidence: 99%
“…More precisely, if N is any complex norm in C n such that N (x) = |x| = n j=1 x 2 j for x ∈ R n and N (z) ≤ |z| for z ∈ C n , then N * (z)/ √ 2 ≤ N (z) for z ∈ C n . Moreover, this norm was shown to be of interest in the study of several problems related to proper holomorphic mappings and the Bergman kernel, see for example [2,3,5,6]. The domain B * is the first bounded domain in C n which is neither Reinhardt nor homogeneous, and for which we have an explicit formula for its Bergman kernel.…”
mentioning
confidence: 99%