This lecture covers the reduction of an application, using the same notations as in previous chapters. It explains how to find the reduced form of a matrix, the cases where a matrix is diagonalizable, and the concept of reduced forms. The instructor demonstrates examples of reduced forms and provides insights into polynomial roots and matrix transformations. The lecture also discusses bases, eigenvalues, and the process of reduction in detail.