arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1912.04599math.PRmath-phmath.MP
收藏

多重正交多项式系综的全局涨落

Global fluctuations for Multiple Orthogonal Polynomial Ensembles

Maurice Duits, Benjamin Fahs, Rostyslav Kozhan

摘要:

研究了多重正交多项式系综的多项式检验函数下线性统计量的涨落。多重正交多项式系综是一类重要的行列式点过程,包括随机矩阵模型,如外源GUE、复Wishart矩阵、多重矩阵模型等。我们的分析是基于递归矩阵的多个正交多项式,这是构造出的最近邻递归。如果最近邻递归矩阵的系数有极限,那么我们证明了这个递归矩阵的右极限是一个矩阵,可以被看作是一个Toeplitz算子关于一个非标准基的表示。这将使我们能够证明多重正交多项式系综线性统计量的中心极限定理。一个特别的新颖性是使用的Baker-坎贝尔-Hausdorff公式证明,较高的累积量的线性统计收敛到零。我们通过讨论具有外部源的高斯酉系综的中心极限定理、复Wishart矩阵以及与多个Charlier多项式、多个Krawtchouk多项式和多个Meixner多项式相关的Schur测度的特殊化来说明主要结果。

英文摘要:

We study the fluctuations of linear statistics with polynomial test functions for Multiple Orthogonal Polynomial Ensembles. Multiple Orthogonal Polynomial Ensembles form an important class of determinantal point processes that include random matrix models such as the GUE with external source, complex Wishart matrices, multi-matrix models and others. Our analysis is based on the recurrence matrix for the multiple orthogonal polynomials, that is constructed out of the nearest neighbor recurrences. If the coefficients for the nearest neighbor recurrences have limits, then we show that the right-limit of this recurrence matrix is a matrix that can be viewed as representation of a Toeplitz operator with respect to a non-standard basis. This will allow us to prove Central Limit Theorems for linear statistics of Multiple Orthogonal Polynomial Ensembles. A particular novelty is the use of the Baker--Campbell--Hausdorff formula to prove that the higher cumulants of the linear statistics converge to zero. We illustrate the main results by discussing Central Limit Theorems for the Gaussian Unitary Ensembles with external source, complex Wishart matrices and specializations of the Schur measure related to multiple Charlier, multiple Krawtchouk and multiple Meixner polynomials.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑