Approximate completely positive semidefinite factorizations and their ranks
DOI10.1016/j.laa.2023.08.005zbMath1527.15008arXiv2012.06471OpenAlexW4386074712MaRDI QIDQ6051147
Andreas Klingler, Tim Netzer, Paria Abbasi
Publication date: 19 September 2023
Published in: Linear Algebra and its Applications (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2012.06471
completely positiveapproximate rankapproximate Carathéodory theoremJohnson-Lindenstrauss lemmacompletely positive semidefinite
Factorization of matrices (15A23) Positive matrices and their generalizations; cones of matrices (15B48) Numerical methods for low-rank matrix approximation; matrix compression (65F55)
Cites Work
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- Matrices with high completely positive semidefinite rank
- On vector configurations that can be realized in the cone of positive matrices
- Linear conic formulations for two-party correlations and values of nonlocal games
- Positive semidefinite rank
- Non-closure of the set of quantum correlations via graphs
- Completely positive semidefinite rank
- On the cp-Rank and Minimal cp Factorizations of a Completely Positive Matrix
- New results on the cp-rank and related properties of co(mpletely )positive matrices
- New Lower Bounds and Asymptotics for the cp-Rank
- Conic Approach to Quantum Graph Parameters Using Linear Optimization Over the Completely Positive Semidefinite Cone
- On the Matrix Equation X′X = A
- On the closure of the completely positive semidefinite cone and linear approximations to quantum colorings
- THE SET OF QUANTUM CORRELATIONS IS NOT CLOSED
- Why Are Big Data Matrices Approximately Low Rank?
- Theorems of Carathéodory, Helly, and Tverberg without dimension
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