Synchronous Coordinates transformation

In summary, Gaussian normal coordinates are a set of coordinates used in general relativity to study the local properties of a space-time metric. They are obtained by starting with a non-null hypersurface and a parameter, and using a family of geodesics normal to the hypersurface to construct the coordinates. The existence of these coordinates is guaranteed by Gauss' lemma, but solving for their explicit form can be difficult due to the need to solve differential equations. In the absence of shear, the extrinsic curvature tensor ##K_{ab}## vanishes, but this is not always the case in general.
  • #1
nicu15
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0
Given a specific metric, is there a easy way to transform it in Synchronous coordinates?

For example having dsigma2 = (1+z)^2 dt^2 - ds^2 - s^2 dphi^2 - dz^2 ,
I was able to do some substitutions, but I had to stop at the differential equations presented in the attachement.
 

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  • #2
Is this for a homework problem? Or a project? There is no easy way in general. If you wish to explicitly construct a set of Synchronous coordinates (which I will hereafter call Gaussian normal coordinates since this is the common name but keep in mind that Synchronous and Gaussian normal coordinates are the same thing) on a neighborhood of a point in space-time, you will end up having to solve differential equations which may or may not be tractable.

The point of Gaussian Normal coordinates is not the explicit construction but rather the existence theorem (which comes out of what is called Gauss' lemma: http://en.wikipedia.org/wiki/Gauss's_lemma_(Riemannian_geometry)). So given any event in space-time, we can always impose Gaussian normal coordinates on some neighborhood of the event and all we care about is that in these coordinates ##g_{00} = -1## and ##g_{0i} = 0## where ##i=1,2,3##. All the calculation power of Gaussian normal coordinates comes from this property so we really just care about the local existence of said coordinates for general space-time metrics. This is why I asked if you are doing this for a homework problem or a project or not. It really depends on what you want.

Recall the way Gaussian normal coordinates are geometrically constructed. We start with an initial non-null hypersurface ##\Sigma_{0} ##, and a parameter ##t##. We take a family of geodesics normal to ##\Sigma_{0}## such that in some neighborhood of the event in question, they form a congruence ##\xi^{\mu}## in this neighborhood (meaning they never intersect). ##\xi^{\mu}## will have the property that it is normal to the family of hypersurfaces ##\Sigma_{t}## gotten by evolving the initial hypersurface ##\Sigma_{0}## using the parameter ##t##, where the evolution keeps going until we are out of that chosen neighborhood on which the family of geodesics remain non-intersecting. Using the parameter ##t## as the time coordinate for our metric, and using the fact that ##\xi^{\mu}## is normal to all the hypersufaces in the family (for as long as we don't terminate ##t##), we can put the metric in the form ##ds^{2} = -dt^{2} + h_{ij}dx^{i}dx^{j}## with the same labeling scheme as before. We can also define a quantity called the extrinsic curvature of the hypersurfaces (which measures how they bend in space-time) by ##K_{\mu\nu} = \nabla_{\mu}\xi_{\nu}##. One can show that in Gaussian normal coordinates, we have an evolution equation for the functions ##h_{ij}## given by ##\partial _{t}h_{ij} = 2K_{ij}## so if you can solve this set of differential equations you can determine the explicit form of the functions ##h_{ij}## up to some arbitrary functions but as you can probably tell this may or may not be tractable in practice.
 
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  • #3
Excellent answer, again.

Does ##K_{\mu\nu} = \nabla_{\mu}\xi_{\nu}## mean that in the absence of shear ##K_{\mu\nu}=0## ?
 
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  • #4
Mentz114 said:
Excellent answer, again.

Does this ##K_{ab} = \nabla_{a}\xi_{b}## mean that in the absence of shear that ##K_{ab}=0## ?
Hi Mentz! Note that ##\xi^{a}## is hypersurface orthogonal, which by Frobenius' theorem implies ##\xi_{[a}\nabla_{b}\xi_{c]} = 0## which one can then use to show that the twist ##\omega_{ab}= 0## (geometrically, the lack of twisting is what allows us to use this foliation). Hence ##B_{ab} = B_{(ab)}## where ##B_{ab} = \nabla_{b}\xi_{a}## is the usual quantity from the kinematical decomposition. If the shear vanishes then ##B_{(ab)} = \frac{1}{3}h_{ab}\theta## where ##\theta = \nabla_{a}\xi^{a}## is the expansion. Since ##K_{ab} = B_{ba} = B_{(ab)}##, ##K_{ab}## vanishes identically iff ##\nabla_{a}\xi^{a} = 0## identically. This need not vanish in general.

As a simple counter example, consider the flat Friedman universe given in synchronous coordinates by ##ds^{2} = -d\tau^{2} + a^{2}(\tau)\{dx^{2} + dy^{2} + dz^{2}\}## where the function ##a(\tau)## to be solved for is called the scale factor. The geodesic congruence here corresponds to a family of locally inertial, isotropic observers comoving with the Hubble flow (the parameter ##\tau## is the proper time as read on a clock carried by anyone of these observers) and is given by their 4-velocity field ##u^{a}##. When represented in synchronous coordinates, this is just ##u^{\mu} = \delta^{\mu}_{\tau}## and ##\nabla_{\mu}u^{\mu} = \Gamma ^{\mu}_{\mu\tau} = \partial_{\tau}\ln\sqrt{\left | g \right |}\neq 0## in general.
 
  • #5
WannabeNewton said:
Hi Mentz! Note that ##\xi^{a}## is hypersurface orthogonal, which by Frobenius' theorem implies ##\xi_{[a}\nabla_{b}\xi_{c]} = 0## which one can then use to show that the twist ##\omega_{ab}= 0## (geometrically, the lack of twisting is what allows us to use this foliation). Hence ##B_{ab} = B_{(ab)}## where ##B_{ab} = \nabla_{b}\xi_{a}## is the usual quantity from the kinematical decomposition. If the shear vanishes then ##B_{(ab)} = \frac{1}{3}h_{ab}\theta## where ##\theta = \nabla_{a}\xi^{a}## is the expansion. Since ##K_{ab} = B_{ba} = B_{(ab)}##, ##K_{ab}## vanishes identically iff ##\nabla_{a}\xi^{a} = 0## identically. This need not vanish in general.

As a simple counter example, consider the flat Friedman universe given in synchronous coordinates by ##ds^{2} = -d\tau^{2} + a^{2}(\tau)\{dx^{2} + dy^{2} + dz^{2}\}## where the function ##a(\tau)## to be solved for is called the scale factor. The geodesic congruence here corresponds to a family of locally inertial, isotropic observers comoving with the Hubble flow (the parameter ##\tau## is the proper time as read on a clock carried by anyone of these observers) and is given by their 4-velocity field ##u^{a}##. When represented in synchronous coordinates, this is just ##u^{\mu} = \delta^{\mu}_{\tau}## and ##\nabla_{\mu}u^{\mu} = \Gamma ^{\mu}_{\mu\tau} = \partial_{\tau}\ln\sqrt{\left | g \right |}\neq 0## in general.
I know that the twist must be zero if the hypersurfaces are orthogonal to ##\xi^a##, which is why I wanted to know about shear. But in my haste I forgot about the trace part of ##\nabla_{b}\xi_{a}##.

Question answered, thanks.

By 'counterexample' I presume you mean a case where ##\nabla_{b}\xi^{a}\ne 0##. I don't understand the last two equations, yet, but I do know this congruence has non-zero expansion.
 
  • #6
Mentz114 said:
By 'counterexample' I presume you mean a case where ##\nabla_{b}\xi^{a}\ne 0##. I don't understand the last two equations, yet, but I do know this congruence has non-zero expansion.
Yes by counter-example I meant a case where ##\nabla_{a}\xi^{a} \neq 0## and I should probably mention that in that last equation, ##g = \text{det}(g_{\mu\nu})## and the bars around ##g## denote absolute value.

Anyways, if you have further questions about this feel free to pm me; I don't want things to derail too far from the OP's main question :smile:. Cheers!
 
  • #7
Thanks WannabeNewton!

Im working with D-I junction conditions, and i need the induced metrics of two manifolds to be equal in order to "glue" them together. Having the metrics in gaussian coordinates seems to simplify the problem.
 
  • #8
Hi nicu! Well Gaussian coordinates do tend to be used sometimes (by which I mean I have seen it used sometimes-my experience with junction conditions is not nearly as extensive as yours) when working on junction conditions (although I'm not sure what D-I stands for here). They work very well with the problem of junction conditions in theory; however, it is true that in general if you wish to transform from some initial set of coordinates to Gaussian coordinates you will end up having to solve complicated PDEs (as mentioned above). You might be interested in this paper: http://cleibovitz.upwize.com/physic...ymmetric matter in co-moving co-ordinates.pdf
 
  • #9
That might work, Thanks!
 
  • #10
In the original coordinates, what is the hypersurface on which you wish to apply glue?

D-I = Darmois-Israel?
 
  • #11
I'm trying to connect minkowski ( cylindrical coordinates) to the metric presented above.
 
  • #12
Along a hypersurface s = constant?
 
  • #13
s is constant, being the radius of a cylinder
 
  • #14
Say we have the situation described above (Minkowski glued with the space time described by the metric above( cylindrical coordinates)) in order define the hypersurface i need to provide intrinsic coordinates that describe it. Usually I would chose {tal , phi, z}. Is there a problem with choosing {s, phi, z} instead?tal- proper time
s- radius of the cylinder
phi - azimuthal angle
z - height of the cylinder
 

1. What is a synchronous coordinate transformation?

A synchronous coordinate transformation is a mathematical process used to change the coordinates of a point or object in a specific coordinate system to another coordinate system, while maintaining the same time scale.

2. Why is synchronous coordinate transformation important in science?

Synchronous coordinate transformation is important in science because it allows for the comparison and analysis of different physical phenomena at the same time scale. This is crucial in fields such as astronomy, where observations from different telescopes need to be synchronized.

3. How is synchronous coordinate transformation different from asynchronous coordinate transformation?

Synchronous coordinate transformation involves transforming coordinates while keeping the same time scale, whereas asynchronous coordinate transformation involves transforming coordinates without considering the time scale. In other words, synchronous transformation ensures that events occur at the same time in both coordinate systems, while asynchronous transformation does not.

4. What are some common applications of synchronous coordinate transformation?

Synchronous coordinate transformation is commonly used in fields such as astronomy, geology, and physics for analyzing and comparing data from different sources at the same time scale. It is also used in satellite navigation systems, where precise time synchronization is necessary.

5. How is synchronous coordinate transformation performed?

Synchronous coordinate transformation involves using mathematical equations to convert coordinates from one system to another, while also taking into account the difference in time scales. This can be done manually or with the help of computer programs.

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