Matrix multiplication is associative, so
The uniqueness of the matrix inverse then gives
The order is reversed; does not generally work because matrix multiplication need not be commutative.
A symmetric matrix has , without conjugation. One invertible example with nonreal off-diagonal entries is
It is symmetric but not Hermitian, illustrating the importance of the distinction over .
A Hermitian matrix has . Choose
Its off-diagonal entries are complex conjugates and its diagonal entries are real, so the defining condition holds. It is also invertible.
A unitary matrix has . For example,
This example is invertible, has nonreal off-diagonal entries, and preserves the standard Hermitian inner product. Although it is also symmetric, that additional property is not required for unitarity.
The quadratic form has symmetric matrix
Normalized eigenvectors for and are and . They form the columns of the rotation matrix
Thus the new axis is rotated counterclockwise by , with
The opposite signs of the eigenvalues classify each positive level as a hyperbola. For the original level six its standard equation is ; for the final level one it is . The printed change of level therefore changes the scale, but not the principal axes or asymptotes.
Setting the homogeneous quadratic part to zero gives . In the original coordinates put in , obtaining
These are the slopes in the original axes; are the slopes in the rotated axes, so they must not be interchanged.

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