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Eigenvalue problems, basic definitions

To obtain the eigenvalues of ARn×n, the strategy is to perform a series of similarity transformations on the original matrix A, in order to reduce it either into a diagonal form as above or into a tridiagonal form.

We say that a matrix B is a similarity transform of A if B=STAS,whereSTS=S1S=I. The importance of a similarity transformation lies in the fact that the resulting matrix has the same eigenvalues, but the eigenvectors are in general different.