Our Householder transformation has given us a tridiagonal matrix. We discuss here how one can use Jacobi's iterative procedure to obtain the eigenvalues, although it may not be the best approach. Let us specialize to a \( 4\times 4 \) matrix. The tridiagonal matrix takes the form $$ \mathbf{A} = \left( \begin{array}{cccc} d_{1} & e_{1} & 0 & 0 \\ e_{1} & d_{2} & e_{2} & 0 \\ 0 & e_{2} & d_{3} & e_{3} \\ 0 & 0 & e_{3} & d_{4} \end{array} \right). $$ As a first observation, if any of the elements \( e_{i} \) are zero the matrix can be separated into smaller pieces before diagonalization. Specifically, if \( e_{1} = 0 \) then \( d_{1} \) is an eigenvalue.