How do I calculate Lie derivation of a metric?

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The discussion focuses on calculating the Lie derivative of a metric using a given vector field in polar coordinates. The definition of the Lie derivative is clarified, emphasizing the need to apply the covariant derivative to the components of the vector field and the metric. Confusion arises regarding the tensor nature of the resulting expressions and the proper use of indices. The participant ultimately finds a helpful resource, "Geometrical Methods of Mathematical Physics" by Bernard Schutz, which aids in correctly calculating the Lie derivative and achieving satisfactory results. The conversation highlights the complexities involved in understanding and applying the Lie derivative in the context of non-diagonal metrics.
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Homework Statement



I've searched everywhere, and I cannot find an example of calculation of Lie derivation of a metric.

If I have some vector field \alpha, and a metric g, a lie derivative is (by definition, if I understood it):

\mathcal{L}_\alpha g=\nabla_\mu \alpha_\nu+\nabla_\nu \alpha_\mu

So if my vector field is given in this form (polar coordinates for instance):

\alpha=r\sin^2\theta \partial_t+r\partial_\varphi

(this is something I made up btw), so if I got this right (and I'm not sure, that's why I'm asking) I should find the Christoffel symbols from my metric, and use the definition of covariant derivative, and just calculate term by term (for \mu,\ \nu=t,\ r,\ \theta,\ \varphi)?

In that case, is \alpha_t=r\sin^2\theta ? And so on? Or did I missed the point entirely, because I'm at loss :\
 
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I think you more or less got it, although I agree it's pretty confusing to think about Lie derivatives of the metric. The definition of Lie derivative is I guess usually something like
\mathcal{L}_\alpha(g_{\mu \nu}) = V^\lambda \nabla_\lambda g_{\mu \nu} + g_{\nu \lambda} \nabla_\mu \alpha^\lambda + g_{\mu \lambda} \nabla_\nu \alpha^\lambda and using the fact that covariant derivative of the metric vanishes, you get the form \mathcal{L}_\alpha(g_{\mu \nu}) = \nabla_\mu \alpha_\nu + \nabla_\nu \alpha_\mu
 
The reason that is confusing me is that I have a vector field given in the form I've mentioned, and I have a nondiagonal metric, and I'm trying to get the same result that I found in one article, and I can't.

Here: http://arxiv.org/abs/0908.0184 he makes a Lie derivative along a diffeomorphism \xi of the metric, and he gets a 4x4 matrix. I tried my 'reasoning' and I got a scalar, so I must be doing something wrong :\
 
I think the indices are the confusing part here -- you forgot them on the left side on your expression, but it's clear when you write it out, that the Lie derivative of a rank n tensor is also a rank n tensor. Not sure what you mean by your reasoning giving you a scalar. \nabla_\mu \alpha_\nu + \nabla_\nu \alpha_\mu is very manifestly a tensor.
 
Hmmm then I definitely did something wrong :\

I found an example of Lie derivative of a metric of 3 sphere, along some vector... I'll try to follow that, and see that I'll get...
 
Last edited:
Ok, I am in a bit of a problem here. I found one example of Lie derivative of a vector, along another vector on a sphere. And there was given the formula for each of the component. Here I would have (if I'm correct):

\mathcal{L}_\xi g_{\mu \nu}=\nabla_\mu \xi_\nu+\nabla_nu\xi_\mu=\frac{\partial \xi_\nu}{\partial x^\mu}-\Gamma^\rho_{\mu\nu}\xi^\rho+\frac{\partial \xi_\mu}{\partial x^\nu}-\Gamma^\sigma_{\nu\mu}\xi^\sigma

right?

So I say, that that new tensor I get by doing a Lie derivative, let's call it a, with components a_{\mu\nu} is given by above formula, by putting all the possible combinations for \mu\nu (\tau,\ r,\ \theta,\ \varphi)?

EDIT:

I tried with one component, and I didn't get the answer like in article :\ so I must be doing something wrong... again :(
 
Last edited:
Found it! Finally! I did some digging and found a great book called Geometrical methods of
mathematical physics by Bernard Shutz, and in it a proper way to calculate the Lie derivative of a metric, and I am getting good results ^^

I'm so happy right now! Thanks for all the help :)
 

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