In the preamble to
Discovery 5.1, there were two ingredients necessary to make the algebra work:
Multiplicative inverses are very useful in algebra, so we would also like to have them in matrix algebra.
Discovery 5.2 demonstrates that some square matrices have multiplicative inverses (i.e. are
invertible) and some do not (called
singular in this case). If square matrix
is invertible, write
for its inverse. (But
never write
) This inverse is
defined by its relationship to
and
is the square matrix of the same size as
so that both
and
are true.
Discovery 5.3.
In the following, assume are square invertible matrices, all of the same dimension, and assume that is a nonzero scalar. Do not just look up the answers in the rest of this chapter, try to come up with them yourselves.
For this activity, it might be helpful to think of the pattern of the inverse in the following way: given a square matrix the inverse of is the square matrix of the same size that can fill both of the boxes below to create true matrix equalities..
(a)
What do you think is the inverse of
In other words, if you use
in
(✶), what single choice of matrix can be used to fill in both boxes?
(b)
Determine a formula for the inverse of
in terms of
and
In other words, if you use
in
(✶), what formula involving
and
can be used to fill in both boxes?
(c)
Explain why the formula for the inverse of the product
is
not Then determine a correct formula in terms of
and
(Again, to determine the correct formula for
use
in
(✶), and then try to figure out what single formula you can enter into both boxes so that both left-hand sides reduce to
)
(d)
Extend: Determine a formula for the inverse of the product in terms of the inverses and
(e)
What do you think means? There are two possibilities because the notation implies the application of two different processes: squaring and inverting. Do they both work out to be the same? Try with given below. (For convenience, its inverse is also given.)
Discovery 5.5.
If we have a linear system with a square and invertible coefficient matrix we can use matrix algebra to solve the system instead of row reducing, by using to isolate
Here is an invertible matrix and its inverse:
Use matrix algebra (not row reducing!) to solve the system for
Now use the same method to solve the system for