Matrix inequalities by means of embedding
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
---|---|
Pages (from-to) | 66-77 |
Journal / Publication | Electronic Journal of Linear Algebra |
Volume | 11 |
Online published | 1 Jan 2004 |
Publication status | Published - Apr 2004 |
Link(s)
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.
In: Electronic Journal of Linear Algebra, Vol. 11, 04.2004, p. 66-77.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review