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This lecture covers the calculation of cofactors, the concept of eigenvectors and eigenvalues, and how to study a linear application. It explains the method to find eigenspaces and the characteristic polynomial of a matrix, as well as the geometric and algebraic multiplicities of eigenvalues.
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