Rank-Nullity Theorem
For a linear map, dimension(domain) = dimension(kernel) + dimension(image)
Rank-Nullity Theorem
Rank-Nullity Theorem: Let be a linear map between finite-dimensional vector spaces over the same field. Define
- (kernel / null space),
- (image),
- ,
- , where denotes the number of vectors in any basis of .
Then
This theorem is the basic dimension-counting tool for linear maps. For example, is injective if and only if , and it is surjective if and only if (in finite dimensions). Standard proofs ultimately rely on the existence of bases, guaranteed in general by basis existence .