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A point A is fixed by a collineation with matrix H exactly when ,
i.e.
for some scalar .
In other
words, A must be a right eigenvector of H. Since an
matrix typically has n+1 distinct eigenvalues, a
collineation in
typically has n+1 fixed points, although
some of these may be complex.
H maps the line through any two fixed points A and B onto
itself:
.
In
addition, if A and B have the same eigenvalue (
),
is also an eigenvector and the entire line AB is
pointwise invariant. In fact, the pointwise fixed subspaces of under H correspond exactly to the eigenspaces of H's repeated
eigenvalues (if any).
Exercise 2.5
:
Show that the matrix associated with a plane translation has a triple
eigenvalue, but that the corresponding eigenspace is only two
dimensional. Provide a geometric interpretation of this.
Exercise 2.6
:
In 3D Euclidean space, consider a rotation by angle
about the
axis. Find the eigenvalues and eigenspaces, prove
algebraically that the rotation axis is pointwise invariant, and show
that in addition the ``circular points'' with complex coordinates
and
are fixed.
Next: Projective Invariants & the
Up: Linear Algebra and Homogeneous
Previous: Lines in the Plane
Bill Triggs
1998-11-13