The pioneering work of Issai Schur (1923) on majorization was 1 motivated by his discovery that the eigenvalues of a positive semidefi- 2 nite Hermitian matrix majorize the diagonal elements. This discovery 3 provided a new and fundamental understanding of Hadamard’s deter- 4 minant inequality that led Schur to a remarkable variety of related 5 inequalities. Since Schur’s discovery, a number of other majorizations 6 have been found in the context of matrix theory. These majorizations 7 primarily involve quantities such as the eigenvalues or singular val- 8 ues of matrix sums or products. An integral part of the development 9 of majorization in matrix theory is the extremal representations of 10 Chapter 20.
%0 Book Section
%1 noKey
%A Marshall, AlbertW.
%A Olkin, Ingram
%A Arnold, BarryC.
%B Inequalities: Theory of Majorization and Its Applications
%D 2009
%I Springer New York
%K inequality trace.inequality
%P 297-365
%R 10.1007/978-0-387-68276-1_9
%T 9. Matrix Theory
%X The pioneering work of Issai Schur (1923) on majorization was 1 motivated by his discovery that the eigenvalues of a positive semidefi- 2 nite Hermitian matrix majorize the diagonal elements. This discovery 3 provided a new and fundamental understanding of Hadamard’s deter- 4 minant inequality that led Schur to a remarkable variety of related 5 inequalities. Since Schur’s discovery, a number of other majorizations 6 have been found in the context of matrix theory. These majorizations 7 primarily involve quantities such as the eigenvalues or singular val- 8 ues of matrix sums or products. An integral part of the development 9 of majorization in matrix theory is the extremal representations of 10 Chapter 20.
%@ 978-0-387-40087-7
@inbook{noKey,
abstract = {The pioneering work of Issai Schur (1923) on majorization was 1 motivated by his discovery that the eigenvalues of a positive semidefi- 2 nite Hermitian matrix majorize the diagonal elements. This discovery 3 provided a new and fundamental understanding of Hadamard’s deter- 4 minant inequality that led Schur to a remarkable variety of related 5 inequalities. Since Schur’s discovery, a number of other majorizations 6 have been found in the context of matrix theory. These majorizations 7 primarily involve quantities such as the eigenvalues or singular val- 8 ues of matrix sums or products. An integral part of the development 9 of majorization in matrix theory is the extremal representations of 10 Chapter 20.},
added-at = {2013-06-29T06:41:29.000+0200},
author = {Marshall, AlbertW. and Olkin, Ingram and Arnold, BarryC.},
biburl = {https://www.bibsonomy.org/bibtex/21ecf0ed1980d49e843c2812289ffd604/ytyoun},
booktitle = {Inequalities: Theory of Majorization and Its Applications},
doi = {10.1007/978-0-387-68276-1_9},
interhash = {3b8da72e2d5597b6dfb3409c284659a1},
intrahash = {1ecf0ed1980d49e843c2812289ffd604},
isbn = {978-0-387-40087-7},
keywords = {inequality trace.inequality},
language = {English},
pages = {297-365},
publisher = {Springer New York},
series = {Springer Series in Statistics},
timestamp = {2013-06-29T19:12:14.000+0200},
title = {9. Matrix Theory},
year = 2009
}