报告地点：行健楼学术活动室526
邀请人：孙志斌教授
报告摘要：Over the last two decades, the symmetric cone programming which includes linear programming, second order cone programming, and semidefinite programming has been a hot topic in the optimization community. Since the symmetric cone arises from the Euclidean Jordan algebra, studying Euclidean Jordan algebra has attracted many researchers. Recently, some researchers have extended the properties of the real symmetric matrices and the complex Hermitian matrices to the setting of Euclidean Jordan algebras. In this talk, we present some generalizations of some famous inequalities in matrix theory such as Thompson inequality and Araki-Lieb-Thiring inequality to the Euclidean Jordan algebras.
报告人简介：Jiyuan Tao received his Ph.D. in Applied Mathematics, University of Maryland, Baltimore County, U.S.A. in 2004. He is a full professor in the Department of Mathematics and Statistics, Loyola University Maryland, U.S.A. He was awarded "Distinguished Scholar of the Year, Loyola University Maryland (2018)".
