No eigenvalues outside the support of the limiting spectral distribution of quaternion sample covariance matrices

Pub Date : 2020-10-01 DOI:10.1142/s2010326321500039
Huiqin Li
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引用次数: 6

Abstract

In this paper, we consider the spectral properties of quaternion sample covariance matrices. Let [Formula: see text], where [Formula: see text] is the square root of a [Formula: see text] quaternion Hermitian non-negative definite matrix [Formula: see text] and [Formula: see text] is a [Formula: see text] matrix consisting of i.i.d. standard quaternion entries. Under the framework of random matrix theory, i.e. [Formula: see text] as [Formula: see text], we prove that if the fourth moment of the entries is finite, then there will almost surely be no eigenvalues that appear in any closed interval outside the support of the limiting distribution as [Formula: see text].
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在四元数样本协方差矩阵的极限谱分布支持之外没有特征值
本文研究了四元数样本协方差矩阵的谱性质。设[公式:见文],其中[公式:见文]是[公式:见文]四元数的平方根[公式:见文]厄米非负定矩阵[公式:见文],[公式:见文]是由i.d个标准四元数项组成的[公式:见文]矩阵。在随机矩阵理论的框架下,即[公式:见文]为[公式:见文],我们证明了如果条目的第四阶矩是有限的,那么在极限分布支持之外的任何封闭区间内几乎肯定不会出现特征值[公式:见文]。
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