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 eigenvalues and eigenvectors in linear transformations. It explains the characteristic polynomial, values, and vectors of a matrix. The lecture also delves into the geometric and algebraic multiplicities of eigenvalues, providing examples and proofs.