Expanding the method
We saw on the previous page,
AT-1 = A-1T
.
Or AT-1T = A-1
.
And the inverse was obtained using column operations directly on the matrix without the need
to take the transpose or do a transpose of the resulting inverse to get the solution to the problem.
On this page we combine row and column operations, using the same square non-singular matrix.
Column and Row operations
We begin with the matrix from the previous page, augmented with an identity matrix of the appropriate rank for
the operations and begin.
Subtract row 1
from row 3
.
Subtract column 1
from column 3
.
Add column 2
to column 3
.
Divide through row 3
by -2
.
Combine partial operations
To combine the column and row operations, we multiply the lower matrix with the right matrix.
For convenience I'll refer to the lower matrix as C
and the right matrix as R
,
with this layout:
Multiply the C
and R
:
*
=
1/2 | 0 | 1/2 |
1/2 | 1 | -1/2 |
1/2 | 0 | -1/2 |
The result is equivalent to that obtained in the previous section.
But combining row and column operations leads to other possibilities we'll investigate in the
next section.