Page 234 - Advanced Linear Algebra
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218    Advanced Linear Algebra



            (entrywise) to an upper triangular matrix  , which therefore has the eigenvalues
                                             <
            of   on its main diagonal. Results can be obtained in the real case as well. For
              (
            more details, we refer the reader to [48], page 115.
            Hilbert and Hamel Bases
            Definition A maximal orthonormal set  in an inner product space   is called a
                                                                  =
                          =
            Hilbert basis for  .…
            Zorn's lemma can be used to show that any nontrivial inner product space has a
            Hilbert basis. We leave the details to the reader.

            Some  care  must  be  taken  not to confuse the concepts of a basis for a vector
            space and a Hilbert basis for an inner product space. To avoid confusion,  a
            vector  space  basis, that is, a maximal linearly independent set of vectors, is
            referred to as a Hamel basis . We will refer to an orthonormal Hamel basis as an
            orthonormal basis.

            To  be  perfectly  clear,  there are maximal linearly independent sets called
            (Hamel)  bases  and maximal orthonormal sets (called Hilbert bases). If a
            maximal  linearly  independent  set  (basis) is orthonormal, it is called an
            orthonormal basis.

            Moreover, since every orthonormal set is linearly independent, it follows that an
            orthonormal basis is a Hilbert basis, since it cannot be properly contained in an
            orthonormal set. For finite-dimensional  inner product spaces, the two types of
            bases are the same.

            Theorem 9.13  Let  =    be  an inner product space. A finite subset
            E ~¸" Á Ã Á " ¹ of   is an orthonormal  Hamel  basis for   if and only if it is(  )  =
                             =


            a Hilbert basis for  .
                           =
            Proof. We have seen that any orthonormal basis is a Hilbert basis. Conversely,
            if  E   is a finite maximal orthonormal set and  E  ‰  F  , where  F   is linearly
            independent, then we may apply part  1)  to  extend  E  to a strictly larger
            orthonormal set, in contradiction to the maximality of  . Hence,   is maximal
                                                        E
                                                                 E
            linearly independent.…
            The following example shows that the previous theorem fails  for  infinite-
            dimensional inner product spaces.
            Example 9.5 Let =~ M    and let 4  be the set of all vectors of the form

                                     ~ ² ÁÃÁ Á Á Áó


            where    has  a    in the  th coordinate and  's elsewhere. Clearly,  4   is an



            orthonormal set. Moreover, it is maximal. For if #~²% ³M    has the property

            that #ž4 , then
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