Computational Physics, Linear Algebra, Math, Mathematics, Science.
case of real symmetric matrices, the eigendecomposition can be expressed as where Q is the matrix with eigenvectors as columns and Λ is diag(λ). It works! For that reason, it can useful to use symmetric matrices! Let’s do the same things easily with linalg from numpy: A = np.array([[6, 2], [2, 3]])