English

Evaluating approximations of the semidefinite cone with trace normalized distance

Optimization and Control 2022-07-19 v2

Abstract

We evaluate the dual cone of the set of diagonally dominant matrices (resp., scaled diagonally dominant matrices), namely DDn{\cal DD}_n^* (resp., SDDn{\cal SDD}_n^*), as an approximation of the semidefinite cone. We prove that the norm normalized distance, proposed by Blekherman et al. (2022), between a set S{\cal S} and the semidefinite cone has the same value whenever SDDnSDDn{\cal SDD}_n^* \subseteq {\cal S} \subseteq {\cal 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 DDn{\cal DD}_n^* and S+n{\cal S}^n_+ has a different value from the one between SDDn{\cal SDD}_n^* and S+n{\cal S}^n_+ and give the exact values of these distances.

Keywords

Cite

@article{arxiv.2105.13579,
  title  = {Evaluating approximations of the semidefinite cone with trace normalized distance},
  author = {Yuzhu Wang and Akiko Yoshise},
  journal= {arXiv preprint arXiv:2105.13579},
  year   = {2022}
}

Comments

15 pages

R2 v1 2026-06-24T02:33:22.345Z