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This lecture covers the concept of diagonalization of matrices, discussing the conditions for a matrix to be diagonalizable, the geometric and algebraic multiplicities of eigenvalues, and the process of finding a basis of eigenvectors. The lecture also explores the relationship between diagonalization and applications in linear algebra, such as solving systems of linear equations and orthogonal transformations.