Linear Algebra, Python, Numpy, Matrix Decomposition, Eigenvectors.
eigenvectors along with inv function to confirm as well from numpy import linalg as lg Eigenvalues, Eigenvectors = lg.eig(np.array([ [1, -2], [3, -4] ])) Lambda = np.diag(Eigenvalues) Eigenvectors @ Lambda @ lg.inv(Eigenvectors) Out[12]: array([[ 1., -2.], [ 3., -4.]]) Eigendecompostion plays an