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Journal of Mathematical Analysis and Applications

Linear maps preserving numerical radius of tensor products of matrices

Ajda Fošner, Zejun Huang, Chi-Kwong Li, Nung-Sing Sze

Published May 16, 2013• 11 citations
Publisher
DOI
10.1016/j.jmaa.2013.05.030

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In this article, a brief survey of recent results on linear preserver problems and quantum information science is given. In addition, characterization is obtained for linear operators φ on mn × mn Hermitian matrices such that φ(A ⊗ B) and A ⊗ B have the same spectrum for any m × m Hermitian A and n × n Hermitian B. Such a map has the form A ⊗ B ↦ U(ϕ1(A) ⊗ ϕ2(B))U* for mn × mn Hermitian matrices in tensor form A ⊗ B, where U is a unitary matrix, and for j ∈ {1, 2}, ϕ j is the identity map X ↦ X or the transposition map X ↦ X t . The structure of linear maps leaving invariant the spectral radius of matrices in tensor form A ⊗ B is also obtained. The results are connected to bipartite (quantum) systems and are extended to multipartite systems.
For a positive integer nnn, let MnM_nMn​ be the set of n×nn\times nn×n complex matrices. Suppose ∥⋅∥\|\cdot\|∥⋅∥ is the Ky Fan kkk-norm with 1≤k≤mn1 \le k \le mn1≤k≤mn or the Schatten ppp-norm with 1≤p≤∞1 \le p \le \infty1≤p≤∞ (p≠2p\ne 2p=2) on MmnM_{mn}Mmn​, where m,n≥2m,n\ge 2m,n≥2 are positive integers. It is shown that a linear map ϕ:Mmn→Mmn\phi: M_{mn} \rightarrow M_{mn}ϕ:Mmn​→Mmn​ satisfying ∥A⊗B∥=∥ϕ(A⊗B)∥forallA∈MmandB∈Mn\|A\otimes B\| = \|\phi(A\otimes B)\| for all A \in M_m and B \in M_n∥A⊗B∥=∥ϕ(A⊗B)∥forallA∈Mm​andB∈Mn​ if and only if there are unitary U,V∈MmnU, V \in M_{mn}U,V∈Mmn​ such that ϕ\phiϕ has the form A⊗B↦U(φ1(A)⊗φ2(B))VA\otimes B \mapsto U(\varphi_1(A) \otimes \varphi_2(B))VA⊗B↦U(φ1​(A)⊗φ2​(B))V, where φs(X)\varphi_s(X)φs​(X) is either the identity map X↦XX \mapsto XX↦X or the transposition map X↦XtX \mapsto X^tX↦Xt. The results are extended to tensor space Mn1⊗⋯⊗MnmM_{n_1} \otimes \cdots \otimes M_{n_m}Mn1​​⊗⋯⊗Mnm​​ of higher level. The connection of the problem to quantum information science is mentioned.
Building on recent works that investigate positivity preserving matrix products, we {examine} the class of \JCP (\jcp) matrix products. A bilinear map on the Cartesian product of the space of n by n matrices with itself into m by m matrices is a \jcp matrix product if the natural linear map it induces on the tensor product of the space of n by n matrices with itself into m by m matrices is completely positive. In particular, a matrix product is \jcp if and only if its naturally associated Choi matrix is positive semidefinite. Similarly, a matrix product is \jcp if and only if it admits a Choi-Kraus representation. We use the Choi-Kraus representation of \jcp matrix products to study various basic properties, including positivity lower bounds, commutativity, units, causality, and separability. As examples, we apply our results to the Schur (Hadamard) product and the convolution product.