The Eigenvectors of Single-spiked Complex Wishart Matrices: Finite and Asymptotic Analyses
Prathapasinghe Dharmawansa, Pasan Dissanayake, and Yang Chen

TL;DR
This paper analyzes the eigenvector behavior of single-spiked complex Wishart matrices, deriving finite and asymptotic distributions for the projection of eigenvectors onto the spike direction, revealing insights into spike detection.
Contribution
It provides the first finite-dimensional closed-form p.d.f. for the smallest eigenvector projection and characterizes its asymptotic distribution, advancing understanding of eigenvector localization in spiked models.
Findings
Finite-dimensional p.d.f. for the smallest eigenvector projection derived.
Asymptotic distribution of scaled projection converges to a chi-squared distribution.
Closed-form expressions obtained for special cases with small matrix dimensions.
Abstract
Let be a {\it single-spiked} Wishart matrix in the class with , where is the identity matrix, is an arbitrary vector with unit Euclidean norm, is a non-random parameter, and represents the conjugate-transpose operator. Let and denote the eigenvectors corresponding to the samllest and the largest eigenvalues of , respectively. This paper investigates the probability density function (p.d.f.) of the random quantity for . In particular, we derive a finite dimensional closed-form p.d.f. for which is amenable to asymptotic…
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Taxonomy
TopicsRandom Matrices and Applications · Blind Source Separation Techniques
