Exercise 4
Our definition of an invertible matrix requires that \(A\) be a square \(n\times n\) matrix. Let's examine what happens when \(A\) is not square. For instance, suppose that
Verify that \(BA = I_2\text{.}\) In this case, we say that \(B\) is a left inverse of \(A\text{.}\)

If \(A\) has a left inverse \(B\text{,}\) we can still use it to find solutions to linear equations. If we know there is a solution to the equation \(A\xvec = \bvec\text{,}\) we can multiply both sides of the equation by \(B\) to find \(\xvec = B\bvec\text{.}\)
Suppose you know there is a solution to the equation \(A\xvec = \threevec{1}{3}{6}\text{.}\) Use the left inverse \(B\) to find \(\xvec\) and verify that it is a solution.

Now consider the matrix
\begin{equation*} C = \left[\begin{array}{rrr} 1 \amp 1 \amp 0 \\ 2 \amp 1 \amp 0 \\ \end{array}\right] \end{equation*}and verify that \(C\) is also a left inverse of \(A\text{.}\) This shows that the matrix \(A\) may have more than one left inverse.
When \(A\) is a square matrix, we said that \(BA=I\) implies that \(AB=I\text{.}\) In this problem, we have a nonsquare matrix \(A\) with \(BA = I\text{.}\) What happens when we compute \(AB\text{?}\)