English

Complexity of the positive semidefinite matrix completion problem with a rank constraint

Optimization and Control 2012-09-19 v2

Abstract

We consider the decision problem asking whether a partial rational symmetric matrix with an all-ones diagonal can be completed to a full positive semidefinite matrix of rank at most kk. We show that this problem is \NP\NP-hard for any fixed integer k2k\ge 2. Equivalently, for k2k\ge 2, it is \NP\NP-hard to test membership in the rank constrained elliptope \EEk(G)\EE_k(G), i.e., the set of all partial matrices with off-diagonal entries specified at the edges of GG, that can be completed to a positive semidefinite matrix of rank at most kk. Additionally, we show that deciding membership in the convex hull of \EEk(G)\EE_k(G) is also \NP\NP-hard for any fixed integer k2k\ge 2.

Keywords

Cite

@article{arxiv.1203.6602,
  title  = {Complexity of the positive semidefinite matrix completion problem with a rank constraint},
  author = {Marianna Eisenberg-Nagy and Monique Laurent and Antonios Varvitsiotis},
  journal= {arXiv preprint arXiv:1203.6602},
  year   = {2012}
}

Comments

18 pages, 3 figures

R2 v1 2026-06-21T20:42:00.643Z