This lecture covers the reduction of augmented matrices to obtain the first column of PCB, the matrix of passage between bases, and the calculation of eigenvalues and eigenvectors. It also explores the properties of bases in vector spaces and the geometric interpretation of eigenvalues in R^2 and R^3.
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