This lecture covers the criteria for diagonalizing a matrix, stating that a matrix is diagonalizable if it has n linearly independent eigenvectors. The process involves finding eigenvalues and associated eigenvectors. Examples illustrate the concept, showing matrices that are and are not diagonalizable.