The vector is an eigenvector with eigenvalue . The complementary subspace of vectors with first two components equal is preserved by : a vector maps to . There, the eigenvalue equations reduce to the matrix , whose characteristic polynomial is . For , ; for , .
Normalising by the Euclidean norm, a complete orthonormal basis of eigenvectors is
Sign changes of any of these eigenvectors are equally valid. The eigenvalues also check part (a): their sum is and the sum of their squares is .

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