The square root rank of the correlation polytope is exponential
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Abstract (arXiv)
The square root rank of a nonnegative matrix A is the minimum rank of a matrix B such that A=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.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 25 Nov 2014.
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Citing papers per year: 2024: 2; 2025: 1; 2026: 1.
4 papers.
- 2024What is the Relationship between Tensor Factorizations and Circuits (and How Can We Exploit it)?cited by 22
- 2024Sum of Squares Circuitscited by 21
- 2025Alternating Direction Method of Multipliers for Nonlinear Matrix Decompositionscited by 3
- 2026On the Complexity of Low-Rank Matrix Signing and Entrywise Power Matrix Factorizationcited by 0
- 2026On the Complexity of Low-Rank Matrix Signing and Entrywise Power Matrix Factorization6 Jul 2026
- 2025Alternating Direction Method of Multipliers for Nonlinear Matrix Decompositions19 Dec 2025
- 2024What is the Relationship between Tensor Factorizations and Circuits (and How Can We Exploit it)?12 Sep 2024
- 2024Sum of Squares Circuits21 Aug 2024