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Lecture
Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
This lecture covers the concept of diagonalization in matrices, focusing on Theorem 5.10 which states conditions for a matrix to be diagonalizable. The slides discuss the formation of bases by eigenvectors, the importance of respecting order, and the demonstration of diagonalizability. It also explores the generalization of observed concepts and the corollary related to distinct eigenvalues. The lecture concludes with examples and discussions on the diagonalizability of matrices.