Kernel-image identities for complementary projectors

ID: kernel-image-identities-for-complementary-projectors

For an idempotent linear map , is also idempotent and
For the first identity, proves one inclusion. If , then , proving the reverse inclusion. Apply the same argument to for the second identity. Consequently the ambient vector space is the direct sum of the image and kernel of a linear map of . Orthogonality is not required; it is a separate property of an orthogonal projection.

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