Linear Algebra, Python, Numpy, Matrix Decomposition, Eigenvectors.
𝜆^2−𝜆𝑇𝑟(𝐴)+𝑑𝑒𝑡(𝐴)=0 Solving the above equation, we get the following eigenvalues: 𝜆=−1 & 𝜆=−2 The eigenvectors for these corresponding eigenvalues are: For 𝜆=−1 For 𝜆=−2 We can confirm that the product of these matrices would give us our original matrix A from numpy.linalg import norm U =