A linear map between finite-dimensional vector spaces admits a linear left inverse if and only if its kernel of a linear map is , equivalently if and only if it is injective.
Necessity follows from . For sufficiency, choose a basis of . Triviality of the kernel of a linear map implies that are linearly independent. By basis extension, they extend to a basis of . Define and , and extend by linearity. Then on a basis, proving .
The freedom in lies in its values on a direct-sum complement of the image of a linear map. For example, for , every linear map is a left inverse, with arbitrary scalars . A right inverse instead requires to be a surjective linear map.
True. Choose a basis of and extend it to a basis of the finite-dimensional vector space . Put . Every basis vector belongs to , so . Linear independence of the complete basis makes a vector belonging to both spans necessarily zero. Therefore
This constructs a direct-sum complement; it need not be unique.
Assume . Then
Set , choose a direct-sum complement such that , and choose a complement such that .
The restriction is injective because , and it is surjective because every image equals after decomposing . It is therefore a isomorphism, so and . Also . Hence
has all the required properties.