The spectral theorem for real symmetric matrices supplies real eigenvalues and an orthonormal eigenbasis. Compute eigenvectors, normalize them, and within each repeated-eigenvalue eigenspace choose an orthonormal basis. Distinct eigenspaces are already orthogonal because symmetry gives for eigenvectors with eigenvalues .
Use the resulting basis vectors as columns of . Then
The order and signs of the columns can be chosen freely; rotations within a repeated-eigenvalue eigenspace are also allowed.
Use the orthogonal change of coordinates
It preserves distances and angles and gives . Thus the quadric surface is expressed along its principal axes as
The following three cases are the subparts of (ii) in the original PDF.
Writing the common positive eigenvalue as , the equation is . Hence it is a sphere with
Every orthonormal set of axes is a principal-axis set in this fully degenerate case.
Let and . Then
This is a one-sheet hyperboloid of revolution around the axis. Its circular waist has radius at , and its radius grows with . In the original coordinates the axis is the eigenvector direction belonging to the negative eigenvalue.
The coordinate does not occur. The perpendicular cross-section is
Thus the surface is an elliptic cylinder extending in both directions along the zero-eigenvalue axis. Its cross-sectional semiaxes are and . It becomes a circular cylinder when the two positive eigenvalues coincide.
The matrix is , where . Along , its eigenvalue is . Every vector perpendicular to has eigenvalue two. For example, use the orthonormal basis
The principal-coordinate equation is
It depends only on distance from the axis and position along it, so every rotation about that axis preserves the surface. Therefore
This is a one-sheet hyperboloid with waist radius . The repeated positive eigenvalue makes the two transverse principal axes nonunique.

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