What is the result of the Rank-Nullity Theorem when applied to a linear transformation $L: V \to W$?

rank(L) + nullity(L) = dim(V)

This fundamental theorem relates the dimensions of the kernel (null space) and the image (range) of a linear map to the dimension of its domain. It shows that increasing the dimension of the image necessarily decreases the dimension of the kernel by the same amount.