Roy's largest root under rank-one perturbations: the complex valued case and applications.

Roy's largest root under rank-one perturbations: the complex valued case and applications.
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罗伊在一级扰动下的最大根源:复杂的有价值的案例和应用。

DOI:
10.1016/j.jmva.2019.05.009
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发表时间:
2019
影响因子:
1.6
通讯作者:
Shwartz,Ofer
Shwartz,Ofer
中科院分区:
数学2区
文献类型:
--
作者:
Dharmawansa,Prathapasinghe;Nadler,Boaz;Shwartz,Ofer

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The largest eigenvalue of a single or a double Wishart matrix, both known as Roy’s largest root, plays an important role in a variety of applications. Recently, via a small noise perturbation approach with fixed dimension and degrees of freedom, Johnstone and Nadler derived simple yet accurate approximations to its distribution in the real valued case, under a rank-one alternative. In this paper, we extend their results to the complex valued case for five common single matrix and double matrix settings. In addition, we study the finite sample distribution of the leading eigenvector. We present the utility of our results in several signal detection and communication applications, and illustrate their accuracy via simulations.
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