Page 70 - Advanced Linear Algebra
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54    Advanced Linear Algebra




                          ²  b  ³²" b# ³ ~ ² " c #³ b² # b "³
            Thus, for example, we immediately have for  Á    s ,
                                    ²" b # ³ ~  " b  #
                                    ²" b # ³ ~ c # b  "
                                   ²  b  ³" ~  " b "
                                  ²  b  ³#  ~ c # b #

            The real part  of '~ " b #   is "  =   and the imaginary part  of   is #  =  .
                                                                   '
            The essence of the fact that '~ " b #   =  d  is really an ordered pair is that   is
                                                                          '
                                                        if and only if its real and imaginary parts are both  .
            We can define the complexification map  cpx¢= ¦ =  d  by
                                      cpx²#³ ~ # b

            Let us refer to #b    as the complexification , or complex version  of #  =  .
            Note that this map is a group homomorphism, that is,
                     cpx² ³ ~   b     and  cpx²" f #³ ~  cpx²"³ f  cpx²#³

            and it is injective:
                                 cpx²"³ ~  cpx²#³ ¯ " ~ #
            Also, it preserves multiplication by real  scalars:

                          cpx² "³ ~ " b    ~ ²" b   ³ ~  cpx²"³
            for   s . However, the complexification map is not surjective, since it gives
            only “real” vectors in =  d .
            The complexification map is an injective linear transformation  defined in the
                                                                (
                      )
            next chapter  from the real vector space    to  the  real  version  ²  =  d ³  s   of  the
                                               =
            complexification  =  d  , that is, to the  complex vector space  =  d    provided  that
            scalars are restricted to real numbers. In this way, we see that =  d  contains an
            embedded copy of  .
                           =
            The Dimension of =  d
            The  vector-space  dimensions  of  =    and  =  d  are the same. This should not
            necessarily come as a surprise because although  =  d  may seem “bigger” than  ,
                                                                          =
            the field of scalars is also “bigger.”
            Theorem 1.17 If  8             is a basis for  =   over  s ~¸# “  0¹  , then the
            complexification of  ,
                             8
                                cpx²³ ~ ¸# b    “ #  ¹
                                    8
                                                      8
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