Matrix inequalities by means of embedding

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

4 Scopus Citations
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Detail(s)

Original languageEnglish
Pages (from-to)66-77
Journal / PublicationElectronic Journal of Linear Algebra
Volume11
Online published1 Jan 2004
Publication statusPublished - Apr 2004

Abstract

In this expository study some basic matrix inequalities obtained by embedding bilinear forms 〈Ax, x〉 and 〈Ax, y〉 into 2 × 2 matrices are investigated. Many classical inequalities are reproved or refined by the proposed unified approach. Some inequalities involving the matrix absolute value |A| are given. A new proof of Ky Fan's singular value majorization theorem is presented.

Research Area(s)

  • Eigenvalue, Majorization, Matrix absolute value, Matrix inequality, Matrix norm, Normal matrix, Positive semidefinite matrix, Singular value, Spread, Wielandt inequality

Citation Format(s)

Matrix inequalities by means of embedding. / Lei, Tian-Gang; Woo, Ching-Wah; Zhang, Fuzhen.
In: Electronic Journal of Linear Algebra, Vol. 11, 04.2004, p. 66-77.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review