Final answer:
If the columns of matrix A are linearly independent, then matrix R is invertible.
Step-by-step explanation:
If we suppose A=QR, where Q is an mxn matrix and R is an nxn matrix, and the columns of A are linearly independent, we can show that R must be invertible.
To understand why, consider the equation Rx = 0.
If R were not invertible, it would mean that it has a non-trivial null space, which implies that there exists a non-zero vector x such that Rx=0.
However, since A=QR and A's columns are linearly independent, it means that the only solution to the equation Q(Rx) = Q(0) is x=0, indicating that R has a trivial null space and therefore is invertible.
Thus, the matrix R is invertible.