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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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