Linear Algebra, Inner Product, Cross Product, Orthogonality.
vectors and column vectors are unit vectors and are orthogonal to each other. In other words, a matrix Q is orthogonal if its transpose equals its inverse, that is, Q^T = Q^(-1). Properties Key properties of orthogonality include: Preservation of Length and Angle: Orthogonal transformations