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A central limit theorem for Hermitian polynomials of independent Gaussian variables

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Ukrainian Mathematical Journal Aims and scope

Abstract

The conditions of asymptotic normality of the variables\(\eta _n = _{1 \leqslant i_j< ...< i, \leqslant 11}^{ \Sigma H(\delta _{lj} ,...,\delta _{ir} )} \) are studied for n→∞ and m→∞, with H(x1, ..., xr) denoting Hermitian polynomials in (Rm)r, and the ξ1, ..., ξn being independent Gaussian vectors in X=Rm with a zero mean and a unit correlation operator.

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Literature cited

  1. A. V. Skorokhod and V. I. Stepakhno, “On an extension of Hermitian polynomials,” Ukr. Mat. Zh.,42, No. 5, 636–642 (1990).

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  2. I. I. Gikhman and A. V. Skorokhod, Stochastic Differential Equations and Their Applications [in Russian], Naukova Dumka, Kiev (1982).

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  3. J. Jacod and A. N. Shiryaev, Limit Theorems for Stochastic Processes, Springer-Verlag, New York (1987).

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Translated from Ukrainskii Matematicheskii Zhurnal, Vol. 42, No. 12, pp. 1681–1686, December, 1990.

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Skorokhod, A.V., Stepakhno, V.I. A central limit theorem for Hermitian polynomials of independent Gaussian variables. Ukr Math J 42, 1515–1521 (1990). https://doi.org/10.1007/BF01060823

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  • DOI: https://doi.org/10.1007/BF01060823

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