
Let \(\|{\cdot}\| \) be a given unitary invariant norm on rectangular \(m\)-by-\(n\) matrices, and let \(A\circ B\) be the Schur (=\,entrywise) product of matrices. The author classifies \(\|{\cdot}\| \)-isometries \(\Phi:M_{m\times n}\to M_{m\times n}\) which are Schur multiplicative, that is, which satisfy \(\| \Phi(A)\| =\| A\| \) and \(\Phi(A\circ B)=\Phi(A)\circ\Phi(B)\). When \(\| \cdot\| \) is not a scalar multiple of the Frobenius norm then such maps merely permute rows/columns of a matrix, modulo transposition and entrywise conjugation. A Frobenius norm is a special case, and there are more possibilities. The proof relies heavily on Lemmas 2.2--2.3, which are of independent interest. They distinguish scalar multiples of the Frobenius norm from other unitary invariant norms. To give a glimpse: a unitary invariant norm \(\| \cdot\| \) on complex matrices is a multiple of the Frobenius norm precisely when, for each diagonal \(D\in M_{m-2\times n-2}\), \(\| A(e^{i\varphi})\oplus D\| \) is constant for \(\varphi\in[-\pi,\pi]\), where \[ A(z):=\begin{pmatrix} z&1\\ 1&1\end{pmatrix}. \] A similar result is proven for real matrices.
Numerical Analysis, Algebra and Number Theory, unitarily invariant norm, Schur (Hadamard) product, Linear transformations, semilinear transformations, Norms of matrices, numerical range, applications of functional analysis to matrix theory, Discrete Mathematics and Combinatorics, Unitarily invariant norm, Frobenius norm, Geometry and Topology
Numerical Analysis, Algebra and Number Theory, unitarily invariant norm, Schur (Hadamard) product, Linear transformations, semilinear transformations, Norms of matrices, numerical range, applications of functional analysis to matrix theory, Discrete Mathematics and Combinatorics, Unitarily invariant norm, Frobenius norm, Geometry and Topology
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