Spectral radii of truncated circular unitary matrices

Wenhao Gui, Yongcheng Qi

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8 Scopus citations

Abstract

Consider a truncated circular unitary matrix which is a pn by pn submatrix of an n by n circular unitary matrix by deleting the last n−pn columns and rows. Jiang and Qi [11] 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/n is bounded away from 0 and 1. In this paper we investigate the limiting distribution of the spectral radius under one of the following four conditions: (1). pn→∞ and pn/n→0 as n→∞; (2). (n−pn)/n→0 and (n−pn)/(log⁡n)3→∞ as n→∞; (3). n−pn→∞ and (n−pn)/log⁡n→0 as n→∞ and (4). n−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.

Original languageEnglish (US)
Pages (from-to)536-554
Number of pages19
JournalJournal of Mathematical Analysis and Applications
Volume458
Issue number1
DOIs
StatePublished - Feb 1 2018

Bibliographical note

Publisher Copyright:
© 2017 Elsevier Inc.

Keywords

  • Circular unitary matrix
  • Eigenvalue
  • Extreme value
  • Limiting distribution
  • Spectral radius

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