Orthonormal basis of 1 forms for the rotating c metric

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SUMMARY

The discussion focuses on deriving an orthonormal basis of 1-forms for the rotating C-metric and finding the corresponding dual basis of vectors. Key components include the metric coefficients g_{μν}, which are extracted from the expansion of the line element ds^2. The inverse metric g^{μν} is clarified as distinct from g_{μν}, serving as its matrix inverse. The confusion regarding the vierbeins and the relationship between the metrics is addressed, emphasizing the importance of understanding the structure of the metric in the context of general relativity.

PREREQUISITES
  • Understanding of differential geometry concepts, particularly metrics and forms.
  • Familiarity with the C-metric and its properties in general relativity.
  • Knowledge of tensor notation and operations, including inverse metrics.
  • Basic understanding of the relationship between coordinate and non-coordinate bases.
NEXT STEPS
  • Study the derivation of the C-metric and its implications in general relativity.
  • Learn about the construction and application of vierbeins in curved spacetime.
  • Explore the properties of dual vectors and forms in differential geometry.
  • Investigate the role of the inverse metric in tensor calculus and its applications.
USEFUL FOR

Students and researchers in theoretical physics, particularly those focusing on general relativity, differential geometry, and mathematical physics. This discussion is beneficial for anyone looking to deepen their understanding of metrics and forms in curved spacetime.

lostphysicist
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Homework Statement



Write down an orthonormal basis of 1 forms for the rotating C-metric
[/B]
Use the result to find the corresponding dual basis of vectorsSee attached file for metric and appropriate equations


The two equations on the left are for our vectors. the equations on the right are for our 1-forms/dual-vectors.

The Attempt at a Solution


g^μν= inverse metric on the manifold
η^μν=inverse minkowski metric=diag(-1,1,1,1)= minkowski m etric
E_a=non coordinate basis vectors for metric
Θ_a=non coordinate 1-forms for metric

I'm confused how we read off the g_μν from the metric above. Will this be equal to g^μν?

Do we have to expand the brackets or are the coordinates

1. dt-αx^2dφ
2.dy
3.dx
4.dφ+αx^2

and the g_μν components just the factors in front of these square rooted? What are the vierbeins?
Any help would be appreciated.

Thanks
 

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lostphysicist said:

Homework Statement



Write down an orthonormal basis of 1 forms for the rotating C-metric
[/B]
Use the result to find the corresponding dual basis of vectorsSee attached file for metric and appropriate equations


The two equations on the left are for our vectors. the equations on the right are for our 1-forms/dual-vectors.

The Attempt at a Solution


g^μν= inverse metric on the manifold
η^μν=inverse minkowski metric=diag(-1,1,1,1)= minkowski m etric
E_a=non coordinate basis vectors for metric
Θ_a=non coordinate 1-forms for metric

I'm confused how we read off the g_μν from the metric above. Will this be equal to g^μν?

Do we have to expand the brackets or are the coordinates

1. dt-αx^2dφ
2.dy
3.dx
4.dφ+αx^2

and the g_μν components just the factors in front of these square rooted? What are the vierbeins?
Any help would be appreciated.

Thanks

The metric components [itex]g_{\mu \nu}[/itex] are just the coefficients in the expansion of [itex]ds^2[/itex]. You write:

[itex]ds^2 = g_{tt} dt^2 + 2 g_{tx} dt dx + 2 g_{ty} dt dy + 2 g_{t\varphi} dt d\varphi + g_{xx} dx^2 + 2 g_{xy} dx dy + 2 g_{x\varphi} dx d\varphi + g_{yy} dy^2 + 2 g_{y\varphi} dy d\varphi + g_{\varphi \varphi} d\varphi^2[/itex]

(The reason for the factors of 2 is because it really should be [itex]g_{xy} dx dy + g_{yx} dy dx[/itex], but those two terms are equal, so I just wrote [itex]2 g_{xy} dx dy[/itex]). So if you expand your expression for [itex]ds^2[/itex], you can just read off the components [itex]g_{\mu \nu}[/itex].

As for the second question: No, [itex]g^{\mu \nu}[/itex] is not equal to [itex]g_{\mu \nu}[/itex], in general. Viewed as 4x4 matrices, [itex]g^{\mu \nu}[/itex] is the inverse of [itex]g_{\mu \nu}[/itex]. Or in terms of components:

[itex]\sum_{\alpha} g^{\mu \alpha} g_{\alpha \nu} = \delta^\mu_\nu[/itex], where [itex]\delta^\mu_\nu[/itex] is 1 if [itex]\mu = \nu[/itex] and zero otherwise.
 

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