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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 revisits the spectral theorem for symmetric matrices, emphasizing orthogonally diagonalizable properties and its equivalence with symmetric bilinear forms. The method for orthogonally diagonalizing a symmetric matrix is explained step by step, highlighting the importance of constructing the proper base. Advanced concepts such as the best orthogonal form and the tensor of inertia for a rigid body are also covered.