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This lecture covers the concept of diagonalization of matrices, explaining how a matrix can be transformed into a diagonal matrix through similarity transformations. The process involves finding eigenvectors and eigenvalues, determining if a matrix is diagonalizable, and practical examples. The lecture also discusses the importance of having distinct eigenvalues for diagonalization.