Classifying linear matrix inequalities via abstract operator systems

被引:0
作者
Berger, Martin [1 ]
Drescher, Tom [1 ]
Netzer, Tim [1 ]
机构
[1] Univ Innsbruck, Fac Math Comp Sci & Phys, Dept Math, Innsbruck, Austria
关键词
Operator systems; Positive matrices; Linear matrix inequalities; Spectrahedra;
D O I
10.1016/j.laa.2023.10.027
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
We systematically study how properties of abstract operator systems help classifying linear matrix inequality definitions of sets. Our main focus is on polyhedral cones, the 3dimensional Lorentz cone, where we can completely describe all defining linear matrix inequalities, and on the cone of positive semidefinite matrices. Here we use results on isometries between matrix algebras to describe linear matrix inequality definitions of relatively small size. We conversely use the theory of operator systems to characterize special such isometries. (c) 2023 Elsevier Inc. All rights reserved.
引用
收藏
页码:28 / 49
页数:22
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