Abstract
An element \(\mathbf{S}\) of the tensor product \({\mathbb M}_m\otimes {\mathbb M}_n\) is said to be separable if it admits a (separable) decomposition
This decomposition is not unique. We present some conditions on suitable norms of \(\mathbf{S}\) which guarantee its separability. Even when separability of \(\mathbf{S}\) is guaranteed by some method, its separable decomposition itself is difficult to construct. We present a general condition which makes it possible to find a way of an explicit separable decomposition.
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References
Ando, T.: Cones and norms in the tensor product of matrix spaces. Linear Algebra Appl. 379, 3–41 (2004)
Berman, A., Shaked-Monderer, N.: Completely Positive Matrices. World Scientific, New Jersey (2003)
Bhatia, R.: Matrix Analysis. Springer, New York (1997)
Bhatia, R.: Positive Definite Matrices. Princeton University Press, Princeton (2007)
Drew, J.H., Johnson, C.R., Loewy, R.: Completely positive matrices associated with M-matrices. Linear Multilinear Algebra 37, 303–310 (1994)
Gurvits, L., Barnum, H.: Largest Separable Balls Around the Maximally Mixed Bipartite Quantum State. Phys. Rev. A 66, 062311 (2002)
Horodecki, M., Horodecki, P., Horodecki, R.: Separability of mixed states, necessary and sufficient conditions. Phys. Lett. A 233(1–2), 1–8 (1996)
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Supported by KAKENHI Grant Number JP17K05285.
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Ando, T. (2019). Norm Conditions for Separability in \({\mathbb M}_m\otimes {\mathbb M}_n\). In: Rassias, T.M., Zagrebnov, V.A. (eds) Analysis and Operator Theory . Springer Optimization and Its Applications, vol 146. Springer, Cham. https://doi.org/10.1007/978-3-030-12661-2_2
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DOI: https://doi.org/10.1007/978-3-030-12661-2_2
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