The symmetry between the last two coordinates gives the eigenvector with eigenvalue . On vectors , the remaining eigenvalue equation iswhose characteristic polynomial is . Corresponding eigenvectors are and . Thus all eigenvalues and eigenspaces areNonzero scalar multiples give all eigenvectors in each eigenspace. The three displayed vectors are mutually orthogonal and have squared norms , respectively.
The quadratic expression is . Normalize the preceding eigenvectors to obtain an orthonormal basisWith the orthogonal matrix and coordinates , the surface equation becomes . All coefficients are positive, so it is an ellipsoid, with principal semiaxes along the respective eigenvectors. This is principal-axis reduction of a quadric.
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