In , every row sums to one, so is an eigenvector with eigenvalue . The antisymmetric direction gives eigenvalue . A direction orthogonal to both is , and direct multiplication shows that it lies in the kernel of a linear map. Normalizing all three gives the complete system
They form an orthonormal basis of . The extra zero eigenvalue reflects the one-dimensional kernel of a linear map for this rank-two rectangular matrix. The question's symbols denote the eigenvalues of ; the nonzero singular values of are their square roots, namely and .

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