This lecture covers the concept of diagonalization in 3D linear algebra, focusing on finding a base in which a linear application is represented by a diagonal matrix. It explains the conditions for an application to be diagonalizable and the equivalence between having three linearly independent eigenvectors and being diagonalizable. The lecture also delves into the process of finding the diagonal matrix representation of a linear application and explores examples to illustrate the concepts.