Let $v_1, v_2, v_3$ be three vectors in $\mathbb{R}^3$ that span $\mathbb{R}^3$. Does this imply that $v_1, v_2, v_3$ are also linearly independent?
Correct answer: Yes. Suppose that the vectors $v_1, v_2, v_3$ span $\mathbb{R}^3$ and let $A$ be a 3 × 3 matrix with columns $[v_1 | v_2 | v_3]$. The system $Ax = b$ must be consistent for all b in $\mathbb{R}^3$, so rref(A) must have a leading 1 in each row. Since $A$ is a square matrix, it follows that $A$ has a leading 1 in each column as well, so there are no free variables. Therefore the system $Ax = 0$ has a unique solution $x = 0$, which means precisely that the columns of $A$ are linearly independent.
Me: I'm confused on how this yes can be said definitely because this example uses the case where it was a square matrix. But if it wasn't then none of these aforementioned arguments apply because then $A$ wouldn't have a pivot position in every row, so for each $b$ in $\mathbb{R}^{row}$, the equation $Ax=b$ might not have a solution. So the matrix could be inconsistent in some cases.