Matrix Ranks

A matrix’s rank is equivalent to the number of linearly independent columns, this is equivalent to the dimension of the vector space spanned by the columns of the matrix. The rank of matrix $A$ is denoted as $rank(A)$, $rk(A)$, or $rank\ A$.

We can calculate a matrix’s rank through reducing it to a simpler form, row echelon form.