The symmetry between the last two coordinates gives the eigenvector with eigenvalue . On vectors , the remaining eigenvalue equation is
whose characteristic polynomial is . Corresponding eigenvectors are and . Thus all eigenvalues and eigenspaces are
Nonzero 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 basis
With 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.
A map to the unit sphere is . One explicit matrix is
Indeed , so . Since is invertible, every point on the unit sphere has a preimage on the ellipsoid; the map is onto, not merely into. The requested is not unique, since an additional orthogonal matrix on the left preserves the unit sphere.

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