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Journal of Functional Analysis
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Journal of Functional Analysis
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A central limit theorem for operators

Authors: Gonçalves, Felipe;

A central limit theorem for operators

Abstract

We prove an analogue of the Central Limit Theorem for operators. For every operator $K$ defined on $\mathbb{C}[x]$ we construct a sequence of operators $K_N$ defined on $\mathbb{C}[x_1,...,x_N]$ and demonstrate that, under certain orthogonality conditions, this sequence converges in a weak sense to an unique operator $\mathcal{C}$. We show that this operator $\mathcal{C}$ is a member of a family of operators $\mathfrak{C}$ that we call {\it Centered Gaussian Operators} and which coincides with the family of operators given by a centered Gaussian Kernel. Inspired in the approximation method used by Beckner in [W. Beckner, Inequalities in Fourier Analysis, Annals of Mathematics, 102 (1975), 159-182] to prove the sharp form of the Hausdorff-Young inequality, the present article shows that Beckner's method is a special case of a general approximation method for operators. In particular, we characterize the Hermite semi-group as the family of Centered Gaussian Operators associated with any semi-group of operators.

Keywords

47DO3, 33C45, 47N30, Probability (math.PR), central limit theorem, Gaussian kernel, Central limit and other weak theorems, Functional Analysis (math.FA), Orthogonal polynomials and functions of hypergeometric type (Jacobi, Laguerre, Hermite, Askey scheme, etc.), Mathematics - Functional Analysis, Groups and semigroups of linear operators, sharp inequalities, FOS: Mathematics, Applications of operator theory in probability theory and statistics, Mathematics - Probability, Hermite semigroup

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
Green
hybrid