Linear Algebra, Rank, Mathematics, Mathematics Education, Math.
m = n. Furthermore, this means that every column (and every row) is independent. This means that our square, ‘full rank’ matrix is the basis of it’s own space, since it is the smallest, most ‘efficient’ way to describe a vector subspace. There is no way to more succinctly describe the column space