Machine Learning, Artificial Intelligence, Data Science.
can be chosen to be orthonormal. If S is a symmetric matrix, its eigenvalue λ and μ fulfill the following condition. Proof From this condition, if λ and μ have different values, the equivalency force the inner product to be zero. Therefore, x and y are orthogonal and it is easy to normalize them to