Distribution of the Scaled Condition Number of Single-spiked Complex Wishart Matrices
Pasan Dissanayake, Prathapasinghe Dharmawansa, and Yang Chen

TL;DR
This paper derives the exact distribution and asymptotic behavior of the scaled condition number for single-spiked complex Wishart matrices, revealing its scaling properties as matrix dimensions grow large.
Contribution
It provides a novel orthogonal polynomial approach to exactly characterize the distribution of the scaled condition number in single-spiked Wishart matrices and analyzes its asymptotic behavior.
Findings
Exact probability density function derived for the scaled condition number.
Asymptotic scaling of the condition number as matrix dimensions grow large.
Limiting distributions established for large matrix sizes.
Abstract
Let () be a random matrix with independent columns each distributed as complex multivariate Gaussian with zero mean and {\it single-spiked} covariance matrix , where is the identity matrix, {\color{blue}} is an arbitrary vector with unit Euclidean norm, is a non-random parameter, and represents the conjugate-transpose. This paper investigates the distribution of the random quantity , where {\color{blue}} are the ordered eigenvalues of (i.e., single-spiked Wishart matrix). This random quantity is intimately related to the so called {\it scaled condition number}…
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Taxonomy
TopicsRandom Matrices and Applications · Advanced Mathematical Theories and Applications · Fractal and DNA sequence analysis
