Distribution of the Scaled Condition Number of Single-spiked Complex Wishart Matrices

05/11/2021
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by   Pasan Dissanayake, et al.
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Let ๐—โˆˆโ„‚^mร— n (mโ‰ฅ n) be a random matrix with independent rows each distributed as complex multivariate Gaussian with zero mean and single-spiked covariance matrix ๐ˆ_n+ ฮท๐ฎ๐ฎ^*, where ๐ˆ_n is the nร— n identity matrix, ๐ฎโˆˆโ„‚^nร— n is an arbitrary vector with a unit Euclidean norm, ฮทโ‰ฅ 0 is a non-random parameter, and (ยท)^* represents conjugate-transpose. This paper investigates the distribution of the random quantity ฮบ_SC^2(๐—)=โˆ‘_k=1^n ฮป_k/ฮป_1, where 0<ฮป_1<ฮป_2<โ€ฆ<ฮป_n<โˆž are the ordered eigenvalues of ๐—^*๐— (i.e., single-spiked Wishart matrix). This random quantity is intimately related to the so called scaled condition number or the Demmel condition number (i.e., ฮบ_SC(๐—)) and the minimum eigenvalue of the fixed trace Wishart-Laguerre ensemble (i.e., ฮบ_SC^-2(๐—)). In particular, we use an orthogonal polynomial approach to derive an exact expression for the probability density function of ฮบ_SC^2(๐—) which is amenable to asymptotic analysis as matrix dimensions grow large. Our asymptotic results reveal that, as m,nโ†’โˆž such that m-n is fixed and when ฮท scales on the order of 1/n, ฮบ_SC^2(๐—) scales on the order of n^3. In this respect we establish simple closed-form expressions for the limiting distributions.

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