Killing Fields and Conserved Quantities along Geodesics

How symmetries of a metric yield first integrals of the geodesic equations.

This is a short note just to recall the calculation of an often useful fact in computing geodesics. First, some notation: let (M,g)(M,g) be a Riemannian / Lorentzian manifold, with a one-parameter group of isometries u(Φu ⁣:MM)u\mapsto(\Phi_u\colon M\to M). The derivative of this 1 parameter family determines a vector field K(p)=dduu=0Φu(p)K(p)=\frac{d}{du}\big|_{u=0}\Phi_u(p), known as the Killing Field corresponding to these isometries. These fields provide a direct link between the symmetries of MM and conserved quantities1 along its geodesics. Precisely,

Killing Fields, Geodesics, and Conserved Quantities

Let KK be a killing field of (M,g)(M,g) and γ\gamma a geodesic. Then the projection of KK onto the geodesic is a conserved: g(γ˙,K)=Constg(\dot{\gamma},K)=\mathrm{Const}

To show this is constant, we wish to show the derivative with respect to the geodesic parameter tt vanishes. Differentiating via the product rule,

ddtg(γ˙,K)=g(Ddtγ˙,K)+g(γ˙,DdtK)\frac{d}{dt}g(\dot{\gamma},K)=g\left(\frac{D}{dt}\dot{\gamma},K\right)+g\left(\dot{\gamma},\frac{D}{dt}K\right)

Where D/dtD/dt is covariant differentiation pulled back to the real line. As γ\gamma is a geodesic, Ddtγ˙=0\frac{D}{dt}\dot{\gamma}=0 by definition. And, as Ddt\frac{D}{dt} coincides with γ˙\nabla_{\dot{\gamma}} for vector fields along a curve which are induced by smooth vector fields on MM, this becomes ddtg(γ˙,K)=0+g(γ˙,γ˙K)\frac{d}{dt}g(\dot{\gamma},K)= 0+g(\dot{\gamma},\nabla_{\dot{\gamma}}K). Thus, it suffices to show

g(γ˙,γ˙K)=0g\left(\dot{\gamma},\nabla_{\dot{\gamma}}K\right)=0

Here’s the big picture. The Lie derivative of the metric along a killing field is zero (we prove this in an appendix below): LKg0\mathcal{L}_K g \equiv 0

This directly implies via a calculation (which we also do in an appendix below) that if X,YX,Y are arbitrary vector fields on MM and KK is a killing field, g(XK,Y)+g(X,YK)=0g\left(\nabla_X K,Y\right)+g\left(X,\nabla_Y K\right)=0

Now set2 X=Y=γ˙X=Y=\dot{\gamma} and use the symmetry of the metric tensor: 0=g(γ˙K,γ˙)+g(γ˙,γ˙K)=2g(γ˙,γ˙K)0=g\left(\nabla_{\dot{\gamma}}K,\dot{\gamma}\right)+g\left(\dot{\gamma},\nabla_{\dot{\gamma}}K\right)=2g(\dot{\gamma},\nabla_{\dot{\gamma}}K)

That’s it! g(γ˙,γ˙K)g(\dot{\gamma},\nabla_{\dot{\gamma}}K) vanishes, and so g(γ˙,K)g(\dot{\gamma},K) is constant along geodesics as claimed.

Appendix: Lie Derivative of the Metric

Here we prove the fact that underlies our whole calculation:

Let (M,g)(M,g) be a Riemannian manifold and KK a killing field on MM. Then the Lie derivative of gg vanishes along KK: LKg=0\mathcal{L}_Kg=0

The intution for this result is clear from the definitions involved:

Here we turn this intuition into a short proof, using the geometric, or coordinate-invariant description of the Lie derivative. Setting up notation, let KK be a killing field and Φt\Phi_t the associated flow by isometries. The Lie derivative of gg at a point pp is calculated by comparing gpg_p to gg a bit further along the flow gΦt(p)g_{\Phi_t(p)}. As these two tensors are based at different points of MM we cannot compare them directly, but instead must pull back to p. That is, the well-defined difference is

[(Φt)gΦt(p)]pgp\left[(\Phi_t)^\ast g_{\Phi_t(p)}\right]_p - g_p. This difference tends to zero as t0t\to 0, and the derivative is defined as usual, as the rate this quantity vanishes in comparison to tt:

(Lkg)p=limt0[(Φt)gΦt(p)]gpt(\mathcal{L}_kg)_p = \lim_{t\to 0}\frac{\left[(\Phi_t)^\ast g_{\Phi_t(p)}\right] - g_p}{t}

Alright, with the formal definition out of the way, we can turn to the case of interest, where KK is a killing field so Φt\Phi_t is a flow by isometries. By the very definition of isometry3 being a map which leaves the Riemannian metric invariant, we have (Φt)gΦt(p)=gp(\Phi_t)^\ast g_{\Phi_t(p)}=g_p, so the numerator of our difference quotient is constant, and equal to zero. Thus, the limit is zero, and the Lie derivative of gg is zero, as claimed.

Appendix: Killing Fields and the Metric

Here we prove that if KK is a killing field and X,YX,Y are arbitrary vector fields on MM then g(XK,Y)+g(X,YK)=0g(\nabla_X K,Y)+g(X,\nabla_Y K)=0. In fact, we give a computation of the metric’s Lie derivative along an arbitrary vector field, and then specify to the required case using that this quantity vanishes along Killing fields.

First, a note on remembering how operators (like the Lie derivative, or covariant derivative) extend to general tensors. Say that TT is some tensor that takes in vector fields X,YX,Y and \star is some operator. If you think of applying the tensor TT as a kind of multiplication (for instance, when TT is written like a generalized matrix), then the Leibniz rule for differentiating a product implies a formula for \star applied to the smooth function T(X,Y)T(X,Y):

(T(X,Y))=[T](X,Y)+T(X,Y)+T(X,Y)\star\left(T(X,Y)\right)=[\star T](X,Y)+T(\star X, Y)+T(X,\star Y)

If we already know how to define \star on smooth functions and on (co-)Vector fields, we can view such a rule as implicitly defining \star on the tensor TT: [T](X,Y)=(T(X,Y))T(X,Y)T(X,Y)[\star T](X,Y)=\star(T(X,Y))-T(\star X,Y)-T(X,\star Y)

We use this to explicitly compute the derivative LV\mathcal{L}_V of the metric tensor gg below.

Lie Derivative of the Metric

Let VV be a vector field on the Riemannian manifold (M,g)(M,g). Then the derivative of the metric along VV can be computed in terms of the Levi-Civita connection \nabla as LVg=g(()K,)+g(,()K)\mathcal{L}_Vg=g(\nabla_{(-)}K,-)+g(-,\nabla_{(-)}K)

Let X,YX, Y be arbitrary vector fields on MM. Then the Lie derivative LV\mathcal{L}_V extends naturally from smooth functions and vector fields to the metric tensor as

[LVg](X,Y):=LV(g(X,Y))g(LVX,Y)g(X,LVY)[\mathcal{L}_V g](X,Y):=\mathcal{L}_V(g(X,Y))-g(\mathcal{L}_V X,Y)-g(X,\mathcal{L}_VY)

We begin by computing the terms on the right. As g(X,Y)g(X,Y) is a real valued function on MM, the Lie derivative along KK coincides with the directional derivative LVg(X,Y)=Vg(X,Y)\mathcal{L}_V g(X,Y)=Vg(X,Y). And, on vector fields the Lie derivative is realized as the Lie Bracket LVX=[V,X]\mathcal{L}_V X=[V,X]. Performing these substitutions,

[LVg](X,Y)=Vg(X,Y)g([V,X],Y)g(X,[V,Y])[\mathcal{L}_V g](X,Y)=Vg(X,Y)-g([V,X],Y)-g(X,[V,Y])

These Lie brackets are directly related to covariant derivatives as the Levi Civita connection is torsion free: [A,B]=ABBA[A,B]=\nabla_A B-\nabla_B A. Using this on each of the above brackets and expanding using the bilinearity of gg yields g([V,X],Y)=g(VXXV,Y)=g(VX,Y)g(XV,Y)g([V,X],Y)=g\left(\nabla_V X-\nabla_X V,Y\right)=g\left(\nabla_V X,Y\right)-g\left(\nabla_X V,Y\right) g(X,[V,Y])=g(X,VYYV)=g(X,VY)g(X,YV)g(X,[V,Y])=g\left(X,\nabla_V Y-\nabla_Y V\right)=g\left(X,\nabla_V Y\right)-g\left(X,\nabla_Y V\right)

Substituting these into the original and collecting similar terms,

[LVg](X,Y)=Vg(X,Y)g(VX,Y)g(X,VY)+g(XV,Y)+g(X,YV)\begin{align} [\mathcal{L}_V g](X,Y) = & Vg(X,Y)-g(\nabla_V X,Y)-g(X,\nabla_V Y)\\ &+ g(\nabla_X V,Y)+g(X,\nabla_Y V) \end{align}

The first three terms taken together are zero, as this is precisely the compatibility condition of the Levi Civita connection with the metric: Vg(X,Y)=g(VX,Y)+g(X,VY)Vg(X,Y)=g(\nabla_V X,Y)+g(X,\nabla_V Y)

Thus [LVg](X,Y)=g(XV,Y)+g(X,YV)[\mathcal{L}_Vg](X,Y)=g(\nabla_X V,Y)+g(X,\nabla_Y V) as claimed

If KK is a killing field, then LKg=0\mathcal{L}_Kg=0, so g(XK,Y)+g(X,YK)=0g(\nabla_X K,Y)+g(X,\nabla_Y K)=0

Footnotes

  1. Precisely, g(γ˙,K)g(\dot{\gamma},K) is shorthand for the function RR\mathbb{R}\to\mathbb{R} given by tgγ(t)(γ(t)˙,K(γ(t)))t\mapsto g_{\gamma(t)}(\dot{\gamma(t)},K(\gamma(t))). We prove this function is constant.

  2. Really, set XX and YY to smooth extensions of γ˙\dot{\gamma} to MM.

  3. A map f ⁣:MMf\colon M\to M is an isometry if it preserves the metric tensor: gp(X,Y)=gf(p)(fX,fY)g_p(X,Y)=g_{f(p)}(f_\star X, f_\star Y) for all pMp\in M and X,YTpMX,Y\in T_p M.
    Recall fgf^\star g along a map ff is defined as (fg)p(X,Y)=fgf(p)(X,Y):=gf(p)(fX,fY)(f^\star g)_p(X,Y)=f^\star g_{f(p)}(X,Y):=g_{f(p)}(f_\star X, f_\star Y). Thus, for an isometry (fg)(X,Y)=g(X,Y)(f^\star g)(X,Y)=g(X,Y).

← All posts