 A reflection is its own inverse, which implies that a reflection matrix is symmetric (equal to its transpose) as well as orthogonal.The product of two rotation matrices is a rotation matrix, and the product of two reflection matrices is also a rotation matrix.Regardless of the dimension, it is always possible to classify orthogonal matrices as purely rotational or not, but for matrices and larger the non-rotational matrices can be more complicated than reflections.