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Spectral Radii of Truncated Circular Unitary Matrices

16 September 2017
Wenhao Gui
Y. Qi
ArXiv (abs)PDFHTML
Abstract

Consider a truncated circular unitary matrix which is a pnp_npn​ by pnp_npn​ submatrix of an nnn by nnn circular unitary matrix by deleting the last n−pnn-p_nn−pn​ columns and rows. Jiang and Qi (2017) proved that the maximum absolute value of the eigenvalues (known as spectral radius) of the truncated matrix, after properly normalized, converges in distribution to the Gumbel distribution if pn/np_n/npn​/n is bounded away from 000 and 111. In this paper we investigate the limiting distribution of the spectral radius under one of the following four conditions: (1). pn→∞p_n\to\inftypn​→∞ and pn/n→0p_n/n\to 0pn​/n→0 as n→∞n\to\inftyn→∞; (2). (n−pn)/n→0(n-p_n)/n\to 0(n−pn​)/n→0 and (n−pn)/(log⁡n)3→∞(n-p_n)/(\log n)^3\to\infty(n−pn​)/(logn)3→∞ as n→∞n\to\inftyn→∞; (3). n−pn→∞n-p_n\to\inftyn−pn​→∞ and (n−pn)/log⁡n→0(n-p_n)/\log n\to 0(n−pn​)/logn→0 as n→∞n\to\inftyn→∞ and (4). n−pn=k≥1n-p_n=k\ge 1n−pn​=k≥1 is a fixed integer. We prove that the spectral radius converges in distribution to the Gumbel distribution under the first three conditions and to a reversed Weibull distribution under the fourth condition.

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