Page 357 - DMTH402_COMPLEX_ANALYSIS_AND_DIFFERENTIAL_GEOMETRY
P. 357
Complex Analysis and Differential Geometry
Notes Let :[a,b] U be a curve. A variation of is a smooth family of curves (t;s):[a,b] ( , ) I
such that (t;0) (t) for all t [a,b]. For convenience, we will denote derivatives with respect
to t as usual by a dot, and derivatives with respect to s by a prime. The generator of a variation
is the vector field Y (t) = (t; 0) along . We say that is a fixed-endpoint variation, if
(a;s) (a), and (b;s) (b) for all s ( , ). Note that the generator of a fixed-endpoint
variation vanishes at the end points. We say that a variation is normal if its generator Y is
perpendicular to : g ,Y 0. A curve is locally L-minimizing if
b
L (s) a g dt
,
has a local minimum at s = 0 for all fixed-endpoint variations . Clearly, an L-minimizing curve
is locally L-minimizing.
If is locally L-minimizing, then any reparametrization of is also locally L-minimizing.
Indeed, if is any fixed-endpoint variation of , then (t;s) 1 (t);s is a fixed-endpoint
variation of , and since reparametrization leaves arc length invariant, we see that L (s) = L (s)
which implies that L also has a local minimum at s = 0. Thus, local minimizers of the functional
L are not necessarily parametrized proportionally to arc length. This helps clarify the following
comment: a locally length-minimizing curve is not necessarily a geodesic, but according to the
next theorem that is only because it may not be parametrized proportionally to arc length.
Theorem 1. A locally length-minimizing curve has a geodesic reparametrization.
To prove this theorem, we introduce the energy functional:
1 b
E a g dt
,
2
We may now speak of energy-minimizing and locally energy-minimizing curves. Our first
lemma shows the advantage of using the energy rather than the arc length functional: minimizers
of E are parametrized proportionally to arc length.
Lemma 1. A locally energy-minimizing curve is a geodesic.
Proof. Suppose that is a locally energy-minimizing curve. We first note that if Y is any vector
field along which vanishes at the endpoints, then setting (t;s) (t) sY(t), we see that there
is a fixed-endpoint variation of whose generator is Y. Since is locally energy-minimizing, we
have:
b 1
E (0) a 2 g s 0 dt 0.
,
We now observe that:
d
d
j
j
j
s 0 dt s 0 dt s 0 y . j
i
where Y y is the generator of the fixed-endpoint variation , and:
i
s 0 g ij,k s 0 g ij,k y .
k
g
k
ij
350 LOVELY PROFESSIONAL UNIVERSITY