# The rank of a matrix equals the rank of the linear transformation it represents.

Put content here**Theorem:** The rank of a matrix $A$ equals the rank of the linear transformation $T(x) = Ax$ it represents. The rank of $T$ is $\dim(\text{Im}(T))$, which is precisely the dimension of the column space of $A$.

# Parents

* Rank and mullity