Restrict to the vector subspace . This restriction has kernel of a linear map and image of a linear map . The rank-nullity theorem on therefore gives
Apply the rank-nullity theorem to and on to obtain the exact nullity of a composition identity:
Since the intersection is a vector subspace of , its dimension is at most . Hence
The image of a linear map lies inside . Therefore . Also restricted to cannot have rank of a linear map greater than its domain's dimension, so . Thus
Equivalently, apply the rank-nullity theorem to that restriction: . This proof keeps track of the intermediate vector subspace, rather than assuming an invertible factor.

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