Math, Linear Algebra, Python, Numpy, Computation.
function: matrix = np.array([[1, 2], [3, 4]]) eigenvalues, eigenvectors = np.linalg.eig(matrix) print(eigenvalues) # Output: [-0.37228132 5.37228132] print(eigenvectors) # Output: [[-0.82456484 -0.41597356] # [ 0.56576746 -0.90937671]] The eigenvalues and eigenvectors can be used to ‘diagonalize’ a