The **image space** of a linear transformation *T:V → W* is the set of vectors such that

Given the *n×n* transformation matrix *A*, the image space of the transformation will be identical to the column space of *A*. Therefore, because of the rank–nullity theorem,

The image space of an invertable (that is, the determinant is not zero) *n×n* matrix is **R**^{n}.