For , maps to . Therefore is an eigenvector with eigenvalue , while the zero-sum vector subspace is its kernel. For a basis of the kernel is . These vectors and form an eigenbasis, proving diagonalization and characteristic polynomial . Both algebraic multiplicity and geometric multiplicity are one at and at zero. At the sole eigenvalue is 1; the zero-sum space has dimension zero and contributes no additional root.
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