Linear Algebra, Numpy, Python, Eigenvectors, Determinants.
0.00000000e+00, 1.00000000e+00, 0.00000000e+00], [-1.66533454e-16, 0.00000000e+00, 1.00000000e+00]]) As you can see, barring the floating-point error, multiplying 𝐴 and 𝐴−1 gives us the identity matrix. Part 4: Eigenvalues and Eigenvectors Our final topic for this article is eigenvalues and