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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 process of finding free variables in matrix equations by analyzing the characteristic polynomial and eigenvectors. It explains how to determine the dimension of the vector subspace and the compatibility of the matrix equation. The lecture also discusses the implications of the determinant of the matrix and the properties of the associated linear applications.
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