The kernel of a linear map is precisely , since
Part (c) gives . Apply the rank-nullity theorem to the finite-dimensional vector space , and then parts (a) and (b):
This proves the dimension formula for a sum of subspaces. The kernel of a linear map records exactly the freedom to transfer a shared vector from one summand to the other without changing their sum.

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