A daughter gets an X chromosome from her mother and an X chromosome from her father. Suppose the X chromosome from her mother has the gene for normal blood clotting. Suppose the X chromosome from her father has the gene for hemophilia.
By Kardi Teknomo, PhD. A matrix is orthogonal if the transpose is equal to its inverse, that is. Since computing matrix inverse is rather difficult while computing matrix transpose is straightforward, orthogonal matrix make difficult operation easier. Orthogonal matrix is important in many applications because of its properties. Example:
A rotation takes the form of a special orthogonal matrix, where special is a technical term meaning the determinant is +1. The determinant of any orthogonal matrix is either +1 or â1, so fully half of them do not correspond to rotations. For example, in the description of point groups for crystallography we have not only rotations, but also reflections, inversions, and rotary reflections.