We study the limit behavior of weighted Bergman kernels on a sequence of domains in a complex space C N , and show that under some conditions on domains and weights, weighed Bergman kernels converge uniformly on compact sets. Then we give a weighted generalization of the theorem given in [S, p. 38], highlighting some special property of the domains, on which the weighted Bergman kernels converge uniformly. Moreover we will show that convergence of weighted Bergman kernels implies this property, which will give a characterization of the domains, for which the inverse of Ramadanov's theorem holds.

In the present paper we show that the Gompertz function, the Fisher-Tippett and the Gumbel probability distributions are related to both Stirling numbers of the second kind and Bernoulli numbers. Especially we prove for the Gumbel probability density function an analog of the Grosset-Veselov formula which connects 1-soliton solution of the KdV equation with Bernoulli numbers.Comment: 7 page

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We study the connection between the weighted Bergman kernel and the Green's function on a domain W ⊂ C for which the Green's function exists.

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