Orthostochastic Matrix

In mathematics, an orthostochastic matrix is a doubly stochastic matrix whose entries are the square of the absolute value 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

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 such that

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.

Famous quotes containing the word matrix:

    In all cultures, the family imprints its members with selfhood. Human experience of identity has two elements; a sense of belonging and a sense of being separate. The laboratory in which these ingredients are mixed and dispensed is the family, the matrix of identity.
    Salvador Minuchin (20th century)