Disclaimer: as before, these are (incredibly) rough notes intended for a tutorial. I may clean them up a bit later but for now it will seem like a lot of unmotivated equations (with typos!!).
The Energy Functional
S=∫T0|˙γ|2dt
Letting Vi=˙γi, this is
S=∫T0gij(γ(t))ViVjdt=∫T0Ldt
where the Lagrangian L is
L=gijViVj
Now,
∂L∂xk=(∂kgij)ViVj
and
∂L∂Vk=gijδikVj+gijViδik=2gjkVj
Now,
ddt∂L∂Vk=2(∂igjk)ViVj+2gjk˙Vj
Plugging these expressions into the Euler-Lagrange equations, we have
2gjk˙Vj+(∂igjk+∂jgik−∂kgij)ViVj=0
Multiplying by the inverse metric, we have
˙Vk+gkl2(∂igjl+∂jgil−∂lgij)ViVj=0
Which is the geodesic equation (recall the formula for the Christoffel symbols).
Orthonormal Frames (Lorentzian and Riemannian) (tetrads, vielbeins, vierbeins, ...)
Locally, we can find an orthonormal basis of vector fields eμi. Greek indicates coordinates, whereas Latin indicates label in the basis. These necessarily satisfy
gμνeμieνj=ηij
where ηij is the flat/constant metric (of whatever signature we are working in).
Methods for Computing Curvature (from Wald)
0. Getting the Christoffel symbols from the geodesic equation.
See e.g. sphere or spherical coordinates.
1. Coordinates. By definition,
∇a∇bωc=∇b∇aωc+Rabcdωd
Writing things explicitly, this gives
Rdabc=∂bΓdac−∂aΓdbc
+ΓeacΓdbe−ΓebcΓdae
(todo: fix typesetting.)
Do this for eg unit sphere in R3.
2. Curvature in Frames (equivalent to coordinates but totally different flavor)
(note: Misner-Thorne-Wheeler seems much better than Wald for this stuff).
Using MTW notation. Fix a frame eμ and a dual frame ωμ. The connection 1-forms are defined by
0=dωμ+αμν∧ων
We also have
dgμν=ωμν+ωνμ
So metric compatibility yields
ωμν=−ωνμ
Antisymmetry means fewer independent components. In this language, the curvature 2-form is given by
Rμν=dαμν+αμσ∧ασν
Gaussian Coordinates
Via Wald. Suppose S⊂M is a codimension 1 submanifold. If S is not null, we can find a normal vector field na which is everywhere orthogonal to S and has unit length. (Probably also need orientation to make it unique!) We can pick any coordinates x1,⋯,xn−1 on S, and we pick the last coordinate to be the distance to S, measured along a geodesic with initial tangent vector na (i.e. we use exponential coordinates in the normal direction).
Once we pick these coordinates, we obtain a family of hypersurfaces St given by
xn=t. These have the property that they are orthogonal to the normal geodesics through S. Proof: (X are vector fields which are tangent to St)
nb∇b(naXa)=nanb∇bXa
=naXb∇bna
\[= \frac{1}{2}X^b \nabla_b (n^a n_a) = 0 \]
(first: geodesic, second: they lie-commute since they are coordinate vector fields).
Jacobi Fields, Focusing and Growth, Conjugate Points
Geodesic deviation. Suppose we have a 1-parameter family of geodesics γs with tangent Ta and deviation Xa. (draw pictures!) By the geodesic equation, we have
Ta∇aTb=0
What can we say about Xa? By change of affine parameter if necessary, we can assume that Ta and Xa are coordinate vector fields, and in particular they commute. So
Xa∇aTb=Ta∇aXb
Then it is easy to see that XaTa is constant, and so (again by change of parameter if necessary) we can assume that it is 0. Now set va=Tb∇bXa. We interpret this as the relative velocity of nearby geodesics. Similarly, we have the acceleration
aa=Tc∇cva=Tb∇b(Tc∇cXa)
Some manipulation shows that
aa=−RacbdXbTcTd
This is the geodesic deviation equation. (Positive curvature -> focus, negative curvature ->growth.)
Now we can work this in reverse. Suppose I have a single geodesic with tangent Ta. If I have some vector field Xa on the geodesic, under what conditions will it integrate to give me a family of geodesics? The above shows that we must have
Ta∇a(Tb∇bXc)=−RcabdXbTaTd
Solutions to this equation are called Jacobi vector fields.
Definition Points p, q on a geodesic are said to be conjugate if there exists a Jacobi field on the geodesics which vanishes at p and q. (Picture time!)
Definition (Cut Locus in Riemannian Signature) For p∈M, we define the cut locus in TpM to be those vectors v∈TpM for which exp(tv) is length minimizing on [0,1] but fails to be length-minimizing on [0,1+ϵ] for and ϵ. The cut locus in M is the image of the cut locus in TpM under the exponential map.
eg. Sphere, antipodes.
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