Computational Physics, Linear Algebra, Math, Mathematics, Science.
with each column corresponding to each eigenvector (like in the second array return by np.linalg.eig(A)): Calculating the inverse: V = np.array([[1, 1], [1, -3]]) V array([[ 1, 1], [ 1, -3]]) V_inv = np.linalg.inv(V) V_inv array([[ 0.75, 0.25], [ 0.25, -0.25]]) Let’s check whether its correct! If