Applied Mathematics, Statistics, Data Science, Linear Algebra.
x that make this true: We do this by using row reduction on (A — lambda I) until we get it in row echelon form. Then we can pick off the pivots and free variables from that reduced matrix, and work out the eigenvectors. First take the case of lambda1 = 1. Then the matrix (A-lambda I) becomes: