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Evaluating approximations of the semidefinite cone with trace normalized distance.

Authors :
Wang, Yuzhu
Yoshise, Akiko
Source :
Optimization Letters; May2023, Vol. 17 Issue 4, p917-934, 18p
Publication Year :
2023

Abstract

We evaluate the dual cone of the set of diagonally dominant matrices (resp., scaled diagonally dominant matrices), namely DD n ∗ (resp., SDD n ∗ ), as an approximation of the semidefinite cone. We prove that the norm normalized distance, proposed by Blekherman et al. [5], between a set S and the semidefinite cone has the same value whenever SDD n ∗ ⊆ S ⊆ DD n ∗ . This implies that the norm normalized distance is not a sufficient measure to evaluate these approximations. As a new measure to compensate for the weakness of that distance, we propose a new distance, called the trace normalized distance. We prove that the trace normalized distance between DD n ∗ and S + n has a different value from the one between SDD n ∗ and S + n and give the exact values of these distances. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
18624472
Volume :
17
Issue :
4
Database :
Complementary Index
Journal :
Optimization Letters
Publication Type :
Academic Journal
Accession number :
163045572
Full Text :
https://doi.org/10.1007/s11590-022-01908-3