Cut locus (Riemannian manifold)
In Riemannian geometry, the cut locus of a point in a manifold is roughly the set of all other points for which there are multiple minimizing geodesics connecting them from
, but it may contain additional points where the minimizing geodesic is unique, under certain circumstances. The distance function from p is a smooth function except at the point p itself and the cut locus.
Definition
Fix a point in a complete Riemannian manifold
, and consider the tangent space
. It is a standard result that for sufficiently small
in
, the curve defined by the Riemannian exponential map,
for
belonging to the interval
is a minimizing geodesic, and is the unique minimizing geodesic connecting the two endpoints. Here
denotes the exponential map from
. The cut locus of
in the tangent space is defined to be the set of all vectors
in
such that
is a minimizing geodesic for
but fails to be minimizing for
for each
. The cut locus of
in
is defined to be image of the
cut locus of
in the tangent space under the exponential map at
. Thus, we may interpret the cut locus of
in
as the points in the manifold where the geodesics starting at
stop being minimizing.
The least distance from p to the cut locus is the injectivity radius at p. On the open ball of this radius, the exponential map at p is a diffeomorphism from the tangent space to the manifold, and this is the largest such radius. The global injectivity radius is defined to be the infimum of the injectivity radius at p, over all points of the manifold.
Characterization
Suppose is in the cut locus of
in
. A standard result[1] is that either (1) there is more than one minimizing geodesic joining
to
, or (2)
and
are conjugate along some geodesic
which joins them. It is possible for both (1) and (2) to hold.
Examples
On the standard round n-sphere, the cut locus of a point consists of the single point opposite of it (i.e., the antipodal point). On an infinitely long cylinder, the cut locus of a point consists of the line opposite the point.
Applications
The significance of the cut locus is that the distance function from a point is smooth, except on the cut locus of
and
itself. In particular, it makes sense to take the gradient and Hessian of the distance function away from the cut locus and
. This idea is used in the local Laplacian comparison theorem and the local Hessian comparison theorem. These are used in the proof of the local version of the Toponogov theorem, and many other important theorems in Riemannian geometry.
Cut locus of a subset
One can similarly define the cut locus of a submanifold of the Riemannian manifold, in terms of its normal exponential map.
See also
References
- ↑ Petersen, Peter (1998). "Lemma 8.2". Riemannian Geometry (1st ed.). Springer-Verlag.