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Unit 22: Computation of Invariant Factors




                                  (t)
          we must arrive at a matrix M  which has the form (9): because at each successive step we have  Notes
          l(M (k + 1)  < l(M . We name the process which we have just defined P7-36.
                     (k)
                                                       t
                                         M (0)  PL-36  M ( )
          In (9), the polynomial  g may or may not divide every entry of  S. If it does not, find the first
          column which has an entry not divisible by g and add that column to column 1. The new first
          column contains both g and an entry gh + r where r   0 and deg r < deg g. Apply process P7-36 and
          the result will be another matrix of the form (9), where the degree  of the corresponding g has
          decreased.
          It should now be obvious that in a finite number of steps we will obtain (8), i.e., we will reach a
          matrix of the form (9) where the degree of g cannot be further reduced.
          We want to show that the normal form associated with a matrix  M is unique. Two things we
          have seen provide clues as to how the polynomials f  ..., f  in Theorem 4 are uniquely determined
                                                   l   1
          by M. First, elementary row and column operations do not change the determinant of a square
          matrix by more than a non-zero scalar factor. Second, elementary row and column operations
          do not change the greatest common divisor of the entries of a matrix.
          Definition: Let M be an m   n matrix with entries in F[x]. If 1   k   min (m, n), we define  (M) to
                                                                                 k
          be the greatest common divisor of the determinants of all k   k submatrices of M.
          Recall that a k   k submatrix of M is one obtained by deleting some m – k rows and some n – k
          columns of M. In other words, we select certain k-tuples
                      I = (i , ..., i ),  1   i  < ... < i    m
                         1   k            1     k
                      J = (j , ..., j ),  1   j , < ... < j    n
                         1   k            1      k
          and look at the matrix formed using those rows and columns of  M. We are interested in the
          determinants

                                             M i 1 1 j    M i 1 k j
                                D , (M) = det                                   ...(12)
                                  I J
                                             M       M i
                                               k i  1 j  k k j
          The polynomial  (M) is the greatest common divisor of the polynomials D , (M), as I and J range
                        k                                            I  j
          over the possible k-tuples.
          Theorem 5: If M and N are equivalent m   n matrices with entries in F[x], then
                                   (M) =  (N),  1   k   min (m, n)                ...(13)
                                   k     k
          Proof: It will suffice to show that a single elementary row operation e does not change  . Since
                                                                                 k
          the inverse of e is also an elementary row operation, it will suffice to show this: If a polynomial
          f divides every D ,  (M) , then f divides D ,  (e(M)) for all k-tuples I and J.
                        I J               I J
          Since we are considering a row operation, let   , ...,    be the rows of M and let us employ the
                                                1    m
          notation
                             D (   ...,  ) = D , (M).
                              J  i1  ik   I  J
          Given I and J, what is the relation between D ,  (M) and D ,  (e(M))? Consider the three types of
                                               I J       I J
          operations  e:
          (a)  multiplication of row r by a non-zero scalar c;
          (b)  replacement of row r by row r plus g times row s, r   s;

          (c)  interchange of rows r and s, r   s.



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