English

The square root rank of the correlation polytope is exponential

Computational Complexity 2014-11-26 v1 Combinatorics Optimization and Control

Abstract

The square root rank of a nonnegative matrix AA is the minimum rank of a matrix BB such that A=BBA=B \circ B, where \circ denotes entrywise product. We show that the square root rank of the slack matrix of the correlation polytope is exponential. Our main technique is a way to lower bound the rank of certain matrices under arbitrary sign changes of the entries using properties of the roots of polynomials in number fields. The square root rank is an upper bound on the positive semidefinite rank of a matrix, and corresponds the special case where all matrices in the factorization are rank-one.

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Cite

@article{arxiv.1411.6712,
  title  = {The square root rank of the correlation polytope is exponential},
  author = {Troy Lee and Zhaohui Wei},
  journal= {arXiv preprint arXiv:1411.6712},
  year   = {2014}
}

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10 pages