Finding an Inverse using an Augmented Matrix
We know that we can use elementary matrices to accomplish the row operations on a matrix
. So, let's suppose that is a square matrix and that we use a succession of elementary matrices to reduce
to the identity matrix. That means we have the following statement:
That means that
This means that if we perform those same elementary row operations on the identity matrix
we will get the inverse matrix of .
This is the way that inverses of 3X3 matrices and higher are usually found.
Finding an Inverse using the Cofactor Matrix
Another way to find an inverse of a square matrix
is by using its cofactor matrix. We already know how to calculate the cofactors .
Then we can show that the inverse matrix of M is the transpose of the cofactor matrix divided by the determinant of M.
This method tends to be a bit more complicated than the method of augmented matrices but it does have some theoretical uses.