Page 22 - A Course in Linear Algebra with Applications
P. 22

6                  Chapter  One:  Matrix  Algebra

          3.  Using the  fact  that  matrices  have  a rectangular  shape,  say
          how  many  different  zero  matrices  can  be  formed  using  a  total
          of  12 zeros.
          4.  For  every  integer  n  >  1 there  are  always  at  least  two  zero
          matrices  that  can  be  formed  using  a  total  of  n  zeros.  For
          which  n  are  there  exactly  two  such  zero  matrices?

          5.  Which  matrices  are  both  upper  and  lower  triangular?



          1.2  Operations    with   Matrices

               We shall  now  introduce  a  number  of standard  operations
          that  can  be  performed  on  matrices,  among  them   addition,
          scalar  multiplication  and  multiplication.  We  shall  then  de-
          scribe the  principal  properties  of these operations.  Our  object
          in so doing  is to  develop  a systematic  means  of performing  cal-
          culations  with  matrices.

          (i)  Addition  and  subtraction
          Let  A  and  B  be two  mxn  matrices;  as usual write  a^  and  bij
          for their  respective  (i,j)  entries.  Define  the  sum  A + B  to  be
          the  mxn   matrix  whose  (i,j)  entry  is  a^  +  b^;  thus  to  form
          the  matrix  A  + B  we  simply  add  corresponding  entries  of  A
          and  B.  Similarly,  the  difference  A  —  B  is the  mxn  matrix
          whose  (i,j)  entry  is  a^-  —  b^.  However  A  +  B  and  A  — B
          are  not  defined  if  A  and  B  do  not  have the  same  numbers  of
          rows  and  columns.
          (ii)  Scalar  multiplication

          By  a  scalar  we  shall  mean  a  number,  as  opposed  to  a  matrix
          or  array  of numbers.  Let  c be  a scalar  and  A  an mxn  matrix.
          The  scalar  multiple  cA  is the  mxn  matrix  whose  (i, j)  entry
          is  caij.  Thus  to  form  cA  we multiply  every  entry  of  A  by  the
                                (
          scalar  c.  The  matrix -l)A  is usually  written  -A;  it  is  called
          the  negative  of  A  since  it  has the  property  that  A + (-A)  =  0.
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