Orthostochastic matrix

In mathematics, an orthostochastic matrix is a doubly stochastic matrix whose entries are the squares of the absolute values of the entries of some orthogonal matrix.

The detailed definition is as follows. A square matrix B of size n is doubly stochastic (or bistochastic) if all its rows and columns sum to 1 and all its entries are nonnegative real numbers, each of whose rows and columns sums to 1. It is orthostochastic if there exists an orthogonal matrix O such that

 B_{ij}=O_{ij}^2 \text{ for } i,j=1,\dots,n. \,

All 2-by-2 doubly stochastic matrices are orthostochastic (and also unistochastic) since for any


B= \begin{bmatrix}
a & 1-a \\
1-a & a \end{bmatrix}

we find the corresponding orthogonal matrix


O = \begin{bmatrix}
\cos \phi &  \sin \phi \\
- \sin \phi & \cos \phi \end{bmatrix},

with  \cos^2 \phi =a, such that  B_{ij}=O_{ij}^2 .

For larger n the sets of bistochastic matrices includes the set of unistochastic matrices, which includes the set of orthostochastic matrices and these inclusion relations are proper.

References


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