Computational Thinking, Linear Algebra, Python, Jupyter Notebook, Math.
np.allclose(np.eye(n), Q.T @ Q) (True, True) Let’s compare to the eigenvalues: np.linalg.eigvals(A) array([ 2.68500+0.j , 0.19274+0.41647j, 0.19274–0.41647j, -0.35988+0.43753j, -0.35988–0.43753j, -0.18346+0.j ]) A Two-Phase Approach In practice, a two phase approach is used to find eigenvalues: