2014
DOI: 10.1016/j.jfa.2014.09.002
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Asymptotic expansion of polyanalytic Bergman kernels

Abstract: Abstract. We consider the q-analytic functions on a given planar domain Ω, square integrable with respect to a weight. This gives us a q-analytic Bergman kernel, which we use to extend the Bergman metric to this context. We recall that f is q-analytic if∂ q f = 0 for the given positive integer q.We also obtain asymptotic formulae for the q-analytic Bergman kernel in the setting of degenerating power weights e −2mQ , as the positive real parameter m tends to infinity. This is only known for q = 1 in view of the… Show more

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Cited by 18 publications
(20 citation statements)
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“…is a Rakhmanov probability density of Laguerre-type [20]. We also observe that Q (m) j coincides with the random variable, denoted S (m,1) j , and defined by Shirai [21] in the context of determinantal processes for higher Landau levels (see [22] for an alternative approach and [23,24] for finitedimensional versions) :…”
Section: Remark 32mentioning
confidence: 77%
“…is a Rakhmanov probability density of Laguerre-type [20]. We also observe that Q (m) j coincides with the random variable, denoted S (m,1) j , and defined by Shirai [21] in the context of determinantal processes for higher Landau levels (see [22] for an alternative approach and [23,24] for finitedimensional versions) :…”
Section: Remark 32mentioning
confidence: 77%
“…There are several classical and well known applications of mathematical analysis which require the theory of polyanalytic functions. In some recent studies we can find some connections of this theory with wavelet theory (see, e.g., ), applications in Physics (see, e.g., ) and universality‐like properties of rather general bi‐analytic Bergman kernels .…”
Section: Introductionmentioning
confidence: 85%
“…Next, we will prove an approximate reproducing identity for polyanalytic functions. For the case q = 2, this was already done in [22]. Here we present the argument for general q ≥ 1.…”
Section: Construction Of Local Polyanalytic Bergman Kernelsmentioning
confidence: 93%
“…We then show how to extend this modified algorithm to polyanalytic functions. This provides a simplification of the method of [22], which was based on the original microlocal analysis technique.…”
Section: Construction Of Local Polyanalytic Bergman Kernelsmentioning
confidence: 99%
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