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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 characteristic polynomial, eigenvalues, and eigenvectors in the context of matrix reduction. It explains how to find the characteristic polynomial of a matrix, determine eigenvalues, and associate them with eigenvectors. The lecture also discusses the Cayley-Hamilton theorem and provides examples to illustrate the concepts of eigenvalues and eigenvectors.