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Summary
DescriptionGeneralized inverse subspaces-left.svg
English: Visualize a left inverse X of a matrix A, both viewed as linear maps between the vector spaces U and V. A is injective, and X maps A's image back to the domain bijectively. Also, X maps a complemented subspace of A's image all to zero. If the complement is the orthogonal complement, then X is the Moore–Penrose inverse.
Here, “K∁ is a complemented subspace of K” means that their direct sum spans the whole space, yet they intersect only at the zero vector.
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