English

A Central Limit Theorem for Operators

Probability 2015-12-01 v2 Functional Analysis

Abstract

We prove an analogue of the Central Limit Theorem for operators. For every operator KK defined on C[x]\mathbb{C}[x] we construct a sequence of operators KNK_N defined on C[x1,...,xN]\mathbb{C}[x_1,...,x_N] and demonstrate that, under certain orthogonality conditions, this sequence converges in a weak sense to an unique operator C\mathcal{C}. We show that this operator C\mathcal{C} is a member of a family of operators C\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

Cite

@article{arxiv.1510.08381,
  title  = {A Central Limit Theorem for Operators},
  author = {Felipe Gonçalves},
  journal= {arXiv preprint arXiv:1510.08381},
  year   = {2015}
}
R2 v1 2026-06-22T11:31:16.915Z