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 Spectral Theorem, focusing on the Min-Max Criterion for symmetric matrices. The instructor explains the concept of positive definite matrices and their properties, such as orthogonality and diagonalization. The lecture delves into the spectral theorem, discussing the existence of orthogonal matrices and their relation to the diagonal matrix. Additionally, it explores the significance of eigenvalues and eigenvectors in the context of symmetric matrices.