English: Visualize a right inverse X of a matrix A, both viewed as linear maps between the vector spaces U and V. A is surjective, and X maps A's image to a complement subspace of its kernel bijectively. If the complement is the orthogonal complement, then X is the Moore–Penrose inverse.
Here, “K∁ is a complement subspace of K” means that their direct sum spans the whole space, yet they intersect only at the zero vector.
to share – to copy, distribute and transmit the work
to remix – to adapt the work
Under the following conditions:
attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
share alike – If you remix, transform, or build upon the material, you must distribute your contributions under the same or compatible license as the original.