Page 208 - Advanced Linear Algebra
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192    Advanced Linear Algebra




                                  *´²% c    ³ µ — @       Á   ² Á   ³


                                                      Á



            since they both represent the same operator   on the subspace ºº# »» . It follows
                                                                  Á
            that the rational canonical matrix and  the Jordan canonical matrix for   are

            similar.…
            Note that the diagonal elements of the Jordan canonical form  @   of   are

            precisely the eigenvalues of  , each appearing a number of times equal to its

            algebraic multiplicity. In general, the rational canonical form does not “expose”
            the eigenvalues of the matrix, even when these eigenvalues lie in the base field.
            Triangularizability and Schur's Lemma
            We  have  discussed two different canonical forms for similarity: the rational
            canonical form, which applies in all cases and the Jordan canonical form, which
            applies only when the base field is algebraically closed. Moreover, there is an
            annoying sense in which these sets of canoncial forms leave something to be
            desired: One is too complex and the other does not always exist.

            Let us now drop the rather strict requirements of canonical forms and look at
            two classes of matrices that are too large to  be  canonical  forms  (the  upper
            triangular matrices and the almost upper triangular matrices) and one class of
            matrices that is too small to be a canonical form (the diagonal matrices).

                                      (
                                                              )
            The  upper  triangular  matrices  or lower triangular matrices  have some nice
            algebraic  properties  and it is of interest  to know when an arbitrary matrix is
            similar  to  a triangular matrix. We confine our attention to upper triangular
            matrices, since there are direct analogs for lower triangular matrices as well.

            Definition A linear operator  ²= ³  is upper triangularizable  if there is an

                                        B
            ordered basis  8             of  =   for which the  matrix    ~²# Á Ã Á # ³  ´ µ 8   is  upper
            triangular, or equivalently, if
                                      #  º# ÁÃÁ# »


            for all  ~ Á à Á   .…
            As we will see next, when the base field is algebraically closed, all operators are
            upper triangularizable. However, since two distinct upper triangular matrices
            can be similar, the class of upper triangular matrices is not a canonical form for
            similarity. Simply put, there are just too many upper triangular matrices.

            Theorem 8.7  (Schur's theorem ) Let   be a finite-dimensional vector space
                                            =
            over a field  .
                      -
                                          (
             )
                                                             )
            1   If the characteristic polynomial  or minimal polynomial  of  ²= ³  splits
                                                                    B

                over  , then   is upper triangularizable.

                    -
             )
            2   If   is algebraically closed, then all operators are upper triangularizable.
                 -
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