Coord Transf. in Linearized GR: Understanding Metric Transformation

Join the discussion
Ask a follow-up here, or get your own question answered by working scientists, mathematicians and engineers — people, not an autocomplete.
Real named experts · corrections over time · the nuance an AI answer skips
5 replies · 2K views
Woolyabyss
Messages
142
Reaction score
1
I was studying linearized GR where we make the following coordinate transformation ## \tilde{x}^{a} = x^{a} + \epsilon y^{a}(x) ##

This coordinate transformation is then meant to imply ## g_{ab}(x) = \tilde{g}_{ab}(x) + \epsilon \mathcal{L}_{Y} g_{ab} ##

Would anyone be kind enough to explain to me how the metric transformation is gotten from the coordinate transformation?
 
on Phys.org
To some extent, this is how the Lie derivative of the metric is defined. The Lie derivative is given by
$$
\mathcal L_Y g = \lim_{\epsilon\to 0}\left[\frac{1}{\epsilon}(\gamma_{Y}(\epsilon)^* g - g)\right],
$$
where ##\gamma_Y(\epsilon)## is the flow of the vector field ##Y## for a parameter distance ##\epsilon##. If you write this out in coordinates, you will get exactly your given relation.

(Note that ##f^*g## is the pullback of ##g## under the diffeomorphism ##f##.)
 
Noticing that the Lie Derivative for the metric is ##(\mathcal L_\xi g)_{ab} = g_{ac} \xi^c_{,b} + g_{bc} \xi^c_{,a}##
you can write down the metric in ##x+ \epsilon \xi## $$g_{ab} (x+ \epsilon \xi) d(x+ \epsilon \xi)^a d(x+ \epsilon \xi)^b = (g_{ab} + \epsilon (g_{ac} \xi^c_{,b} + g_{bc} \xi^c_{,a}))dx^a dx^b + \mathcal O (\epsilon^2) \approx (g_{ab} + \epsilon (\mathcal L_\xi g)_{ab}) dx^a dx^b$$
 
  • Like
Likes   Reactions: vanhees71 and Woolyabyss
kent davidge said:
Noticing that the Lie Derivative for the metric is ##(\mathcal L_\xi g)_{ab} = g_{ac} \xi^c_{,b} + g_{bc} \xi^c_{,a}##
you can write down the metric in ##x+ \epsilon \xi## $$g_{ab} (x+ \epsilon \xi) d(x+ \epsilon \xi)^a d(x+ \epsilon \xi)^b = (g_{ab} + \epsilon (g_{ac} \xi^c_{,b} + g_{bc} \xi^c_{,a}))dx^a dx^b + \mathcal O (\epsilon^2) \approx (g_{ab} + \epsilon (\mathcal L_\xi g)_{ab}) dx^a dx^b$$
This is a bit of a backwards argument. The definition of the Lie derivative is that given in #2. Based on that definition, you can derive ##(\mathcal L_\xi T)_{ab} = T_{ac} \xi^c_{,b} + T_{cb} \xi^c_{,a} + \xi^c T_{ab,c}## for an arbitrary type (0,2) tensor field ##T##. Now, if you have the Levi-Civita connection, then ##\nabla_\xi g = 0## and you would have
$$
(\mathcal L_\xi g)_{ab} = g_{ac} \xi^c_{;b} + g_{cb} \xi^c_{;a}.
$$
Note that you get some Christoffel symbols out of ##\xi^c g_{ab,c}## that turn the derivatives of the ##\xi## into covariant derivatives. Thus, you get the expression you started with from applying the definition of the Lie derivative, not the other way around.
 
  • Like
Likes   Reactions: Woolyabyss
Much appreciated guys. I understand now thanks.
 
  • Like
Likes   Reactions: kent davidge
Woolyabyss said:
I was studying linearized GR where we make the following coordinate transformation ## \tilde{x}^{a} = x^{a} + \epsilon y^{a}(x) ##

This coordinate transformation is then meant to imply ## g_{ab}(x) = \tilde{g}_{ab}(x) + \epsilon \mathcal{L}_{Y} g_{ab} ##

Would anyone be kind enough to explain to me how the metric transformation is gotten from the coordinate transformation?
Just substitute [itex]\bar{x} = x + \epsilon Y[/itex] in the transformation law of the metric tensor and expand to first order in [itex]\epsilon[/itex]. It is more convenient to work with the inverted transformation [tex]g_{ab}(x) = \frac{\partial \bar{x}^{c}}{\partial x^{a}}\frac{\partial \bar{x}^{d}}{\partial x^{b}} \bar{g}_{cd}(\bar{x}) .[/tex] Keep in mind that infinitesimal transformation means that [itex]\bar{g}_{ab} = g_{ab} + \mathcal{O}(\epsilon)[/itex]. Therefore, to first order in [itex]\epsilon[/itex], you can use [itex]\epsilon \ \bar{g}_{ab}(x) = \epsilon \ g_{ab}(x)[/itex] when you Tylor-expand [itex]\bar{g}_{cd} (\bar{x})[/itex] and when you multiply [itex]\bar{g}_{cd}(x)[/itex] by other [itex]\epsilon[/itex]-terms:
[tex]g_{ab}(x) = \left( \delta^{c}_{a} + \epsilon \ \partial_{a}Y^{c}\right) \left( \delta^{d}_{b} + \epsilon \ \partial_{b}Y^{d} \right) \left( \bar{g}_{cd}(x) + \epsilon \ Y^{e}\partial_{e} g_{cd}(x) \right) .[/tex] So, to first order, you can rewrite this as [tex]- \frac{1}{\epsilon} \left( \bar{g}_{ab} - g_{ab}\right) (x) \equiv - \left( \mathcal{L}_{Y}g\right)_{ab} (x) = Y^{c}\partial_{c}g_{ab} + g_{ac}\partial_{b}Y^{c} + g_{cb}\partial_{a}Y^{c} .[/tex]
 
  • Like
Likes   Reactions: Woolyabyss