4.5 Article

On vector configurations that can be realized in the cone of positive matrices

Journal

LINEAR ALGEBRA AND ITS APPLICATIONS
Volume 459, Issue -, Pages 465-474

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.laa.2014.07.017

Keywords

Vector configuration; Cone of positive semidefinite matrices; Von Neumann algebra; Trace

Funding

  1. FNS [200021-122084/1]
  2. OTKA [K 61116, NK 72523]
  3. MTA Renyi Lendulet Groups
  4. Graphs Research Group
  5. ERC Advanced Grant [227458]
  6. OTKA grant [104206]
  7. Bolyai Janos Research Scholarship of the Hungarian Academy of Sciences
  8. Swiss National Science Foundation (SNF) [200021_122084] Funding Source: Swiss National Science Foundation (SNF)

Ask authors/readers for more resources

Let v(1), ... ,v(n) be n vectors in an inner product space. Can we find a dimension d and positive (semidefinite) matrices A(1), ... , A(n) is an element of M-d(C) such that Tr(A(k)A(l)) = < v(k), v(l)> for all k, l = 1, ... , n? For such matrices to exist, one must have < v(k), v(l)> >= 0 for all k, l = 1, ... , n. We prove that if n < 5 then this trivial necessary condition is also a sufficient one and find an appropriate example showing that from n = 5 this is not so - even if we allowed realizations by positive operators in a von Neumann algebra with a faithful normal tracial state. The fact that the first such example occurs at n = 5 is similar to what one has in the well-investigated problem of positive factorization of positive (semidefinite) matrices. If the matrix (< v(k), v(l)>)((k,l)) has a positive factorization, then matrices A(1), ... , A(n) as above exist. However, as we show by a large class of examples constructed with the help of the Clifford algebra, the converse implication is false. (C) 2014 Elsevier Inc. All rights reserved.

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