Page 72 - Advanced Linear Algebra
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56    Advanced Linear Algebra



            2.  Prove Theorem 1.3.
                )
            3.  a   Find an abelian group   and a field   for which   is a vector space
                                                             =
                                                  -
                                      =
                   over   in at least two different ways, that is, there are two different
                       -
                   definitions of scalar multiplication making   a vector space over  .
                                                                        -
                                                      =
               b   Find a vector space  =   over  -   and a subset   of  =  :    that  is  1   a
                )
                                                                        (
                                                                          )
                   subspace of   and  2  a vector space using operations that differ from
                                   ()
                             =
                   those of  .
                          =
                                                                       :
            4.  Suppose  that    is a vector space with basis  8  ~  ¸        “       0  ¹   and   is a
                           =
                         =
               subspace of  . Let  )  ¸  Á  Ã  Á    )     ¹   be a partition of  . Then is it true that
                                                        8

                                      :~     ²: q º) »³

                                           ~
               What if : q º) » £ ¸ ¹  for all  ?


            5.  Prove Theorem 1.8.
                           I
            6.  Let :Á ;Á <  ²= ³ . Show that if < ‹ : , then
                                  : q ²; b <³ ~ ²: q ;³ b <
               This is called the modular law  for the lattice I²= ³ .
            7.  For what vector spaces does the distributive law of subspaces
                               : q ²; b <³ ~ ²: q ;³ b ²: q <³
               hold?
            8.  A vector # ~ ²  ÁÃÁ  ³  s    is called strongly positive  if   €    for all



                ~ Á Ã Á  .
                )
               a   Suppose that   is strongly positive. Show that any vector that is “close
                              #
                                                  (
                   enough” to   is also strongly positive.  Formulate carefully what “close
                            #
                   enough” should mean.)
               b   Prove that if a subspace   of s    contains a strongly positive vector,
                )
                                        :
                   then   has a basis of strongly positive vectors.
                       :
            9.  Let  4   be an     d      matrix whose rows are linearly independent. Suppose
                                                                        *
                                        of 4   span the column space of 4 . Let   be
               that the   columns   ÁÃÁ
               the matrix obtained from  4   by deleting all  columns  except    ÁÃÁ             .
               Show that the rows of   are also linearly independent.
                                  *
            10.  Prove that the first two statements in Theorem 1.7 are equivalent.
            11.  Show that if   is a subspace of a vector space  , then dim ²:³  dim ²=  . ³
                          :
                                                      =
               Furthermore, if dim²:³ ~  dim²= ³  B  then : ~ =  . Give an example to
               show that the finiteness is required in the second statement.
            12.  Let dim²= ³  B  and suppose that = ~ <l : ~ <l :      . What can you
               say  about the relationship between  :   and  :       ? What can you say if
                      ?
               :‹ :
            13.  What  is  the relationship between  :l ;  and  ; l : ? Is the direct sum
               operation commutative? Formulate and prove a similar  statement
               concerning associativity. Is there an “identity” for direct sum? What about
               “negatives”?
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