For a real symmetric matrix , find its real eigenvalues from , then solve for the corresponding eigenspaces. Distinct eigenspaces are orthogonal. Within each repeated eigenspace, apply the Gram-Schmidt process and normalize to obtain an orthonormal basis of eigenvectors.
Put these vectors in the columns of . The spectral theorem for real symmetric matrices guarantees a full basis, so andThis is the orthogonal diagonalization of and the associated orthogonal change of coordinates.
The quadratic form has real symmetric matrixIts unit eigenvectors can be chosen as with eigenvalue , and , with eigenvalue . SetThe orthogonal diagonalization turns the surface equation intoIt is an ellipsoid, specifically a prolate spheroid centered at the origin. Its long principal axis is the line in direction , with semiaxis length . Each direction in the plane perpendicular to that line has semiaxis length ; the displayed give one orthonormal choice of the two short principal axes. Their nonuniqueness reflects the repeated eigenvalue and rotational symmetry about the long axis.
The orthogonal change of coordinates preserves the sphere equation, giving . Subtract it from the spheroid equation in part (b):Thus the intersection consists of the two circlesTheir common radius is . Transforming their centers back to the original coordinates givesTheir planes have equations , each with normal vector . The difference is parallel to this normal, proving that the line joining the centers is perpendicular to both planes. This is the intersection of a prolate spheroid and a concentric sphere in the regime between the short and long semiaxes.
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