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Lecture
Diagonalizable Matrices and Spectral Decomposition
Description
This lecture covers the concept of diagonalizable matrices, orthogonal diagonalization, symmetric matrices, and the spectral decomposition of matrices. It also discusses forms quadratiques and their canonical association with projections in vector spaces.
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