A special case of singular value decomposition is eigenvalue decomposition: a symmetric matrix can be decomposed into
such that
It also happens that
Eigenvalue Decomposition of Asymmetric Matrix
If we allow eigenvalues and eigenvectors to be complex (numbers), then we can do eigenvalue decomposition for asymmetric matrix.