Kerr metric hydrostatic equilibrium

In summary, the conversation discusses the derivation of the Tolman-Oppenheimer-Volkoff equation for hydrostatic equilibrium in the context of the Kerr metric in General Relativity. The conversation also mentions the derivation of the equation from the Einstein tensor matrix elements and the Kerr metric line element. The conversation also references Mathematica source code and provides links to further information on the topic. Overall, the conversation highlights the complexity and intricacy of deriving equations in General Relativity.
  • #1
Orion1
973
3

I basically understand how the Tolman-Oppenheimer-Volkoff equation for hydrostatic equilibrium was derived from the Schwarzschild metric in General Relativity and from the equation derivatives listed. However, when I attempt to derive the equation derivatives for the Kerr metric, I obtain these extremely large solutions which do not contain any derivatives.

Has the relative analogous equivalent to the Tolman-Oppenheimer-Volkoff equation for hydrostatic equilibrium for the Kerr metric ever been derived?

I am not specifically interested in the proof, only the solution. Although it would be very interesting to examine the proof.

Schwarzschild metric line element:
[tex]ds^2 = e^{\nu (r)} c^2 dt^2 - e^{\lambda (r)} dr^2 - r^2 ( \sin^2 \theta d \phi^2 + d \theta^2)[/tex]

General Relativity:
[tex]G_{\mu \nu} = \frac{8 \pi G}{c^4} T_{\mu \nu}[/tex]

Equation derived from Einstein tensor matrix element [tex]T_{11}[/tex]:
[tex]\frac{8 \pi G P(r)}{c^4} = e^{- \lambda} \left( \frac{1}{r} \frac{d \nu}{dr} + \frac{1}{r^2} \right) - \frac{1}{r^2}[/tex]

[itex]e^{-\lambda} = r^{-1}(r - r_s)[/itex]

Hydrostatic equilibrium equation derived from Einstein tensor matrix elements [tex]T_{11}[/tex] and [tex]T_{22}[/tex]:
[tex]\frac{d \nu}{dr} = \frac{2}{P(r) + \rho(r) c^2} \left( \frac{dP(r)}{dr} \right)[/tex]

Hydrostatic equilibrium:
[tex]\frac{dP(r)}{dr} = - \left( P(r) + \rho(r)c^2 \right) \frac{d \phi}{dr}[/tex]

Tolman-Oppenheimer-Volkoff equation:
[itex]\boxed{\frac{dP(r)}{dr} = -(P(r) + \rho(r) c^2) \left( \frac{4 \pi G r^3 P(r)}{c^4} + \frac{r_s}{2} \right) \left[ r \left( r - r_s \right) \right]^{-1}} \; \; \; (r > r_p) \; \; \; r \neq r_p[/itex]

The Kerr metric line element:
[tex]c^{2} d\tau^{2} = \left( 1 - \frac{r_{s} r}{\rho^{2}} \right) c^{2} dt^{2} - \frac{\rho^{2}}{\Lambda^{2}} dr^{2} - \rho^{2} d\theta^{2} - \left( r^{2} + \alpha^{2} + \frac{r_{s} r \alpha^{2}}{\rho^{2}} \sin^{2} \theta \right) \sin^{2} \theta \ d\phi^{2} + \frac{2r_{s} r\alpha \sin^{2} \theta }{\rho^{2}} \, c \, dt \, d\phi[/tex]

General Relativity Kerr metric tensor matrix elements:
[tex]g_{\mu \nu} = \left( \begin{array}{llll} 1 - \frac{r r_s}{r^2+\alpha ^2 \cos ^2(\theta )} & 0 & 0 & \frac{r \alpha \sin ^2(\theta ) r_s}{r^2+\alpha ^2 \cos ^2(\theta )} \\ 0 & -\frac{r^2+\alpha ^2 \cos ^2(\theta )}{r^2-r_s r+\alpha ^2} & 0 & 0 \\ 0 & 0 & -r^2-\alpha ^2 \cos ^2(\theta ) & 0 \\ \frac{r \alpha \sin ^2(\theta ) r_s}{r^2+\alpha ^2 \cos ^2(\theta )} & 0 & 0 & \sin ^2(\theta ) \left(-r^2-\frac{\alpha ^2 \sin ^2(\theta ) r_s r}{r^2+\alpha ^2 \cos ^2(\theta )}-\alpha ^2\right) \end{array} \right)[/tex]

Mathematica source code used by application in reference 1:
Code:
ToFileName[{$TopDirectory, "AddOns", "Applications"}]
<< einsteintensor.m
x = {t, r, \[Theta], \[Phi]}
(metric = {{1 - (Subscript[r, s]*r)/(r^2 + \[Alpha]^2*Cos[\[Theta]]^2), 0, 0, (Subscript[r, s]*r*\[Alpha]*Sin[\[Theta]]^2)/(r^2 + \[Alpha]^2*Cos[\[Theta]]^2)}, {0, -((r^2 + \[Alpha]^2*Cos[\[Theta]]^2)/(r^2 - Subscript[r, s]*r + \[Alpha]^2)), 0, 0}, {0, 0, -(r^2 + \[Alpha]^2*Cos[\[Theta]]^2), 0}, {(Subscript[r, s]*r*\[Alpha]*Sin[\[Theta]]^2)/(r^2 + \[Alpha]^2*Cos[\[Theta]]^2), 0, 0, -(r^2 + \[Alpha]^2 + (Subscript[r, s]*r*\[Alpha]^2*Sin[\[Theta]]^2)/(r^2 + \[Alpha]^2*Cos[\[Theta]]^2))*Sin[\[Theta]]^2}}) // MatrixForm
(tensor = {{\[Rho][r]*c^2, 0, 0, Subscript[\[CapitalPhi], \[Epsilon]][r]}, {0, -P[r], 0, 0},{0, 0, -P[r], 0}, {Subscript[\[Rho], p][r], 0, 0, -P[r]}}) // MatrixForm
(Einstein = Inverse[metric].Simplify[EinsteinTensor[metric, x], TimeConstraint -> 3600]) // MatrixForm
MaxMemoryUsed[]
Reference:
http://library.wolfram.com/infocenter/MathSource/162/"
http://en.wikipedia.org/wiki/Kerr_metric"
http://en.wikipedia.org/wiki/Schwarzschild%20metric"
http://en.wikipedia.org/wiki/Tolman-Oppenheimer-Volkoff_equation"
https://www.physicsforums.com/showpost.php?p=1801307&postcount=59"
https://www.physicsforums.com/attachment.php?attachmentid=14705&d=1216037026"
 
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  • #2
I thought the TOV equation was derived by considering how matter in a spherical star might behave, then joining it to the Schwarzschild vacuum solution outside because of Birkhoff's theorem? Or are you referring to the Schwarzschild constant density solution? I think the equation you listed for the Schwarzschild line element is for a rotationally symmetric spacetime, which would be more general than either the Schwarzschild vacuum or constant density solutions.
 
  • #3


Thank you for your question. The derivation of the Tolman-Oppenheimer-Volkoff equation from the Schwarzschild metric is a well-established result in General Relativity. However, the derivation for the Kerr metric is not as straightforward and has been a subject of ongoing research and debate.

Currently, there is no universally agreed upon equivalent to the Tolman-Oppenheimer-Volkoff equation for the Kerr metric. Some researchers have attempted to derive an analogous equation using different approaches, but there is no consensus on the validity of these equations.

One possible reason for the difficulty in deriving an equivalent equation for the Kerr metric is that the Kerr metric is more complex and has additional parameters (such as the spin parameter) compared to the Schwarzschild metric. This makes the derivation more challenging and prone to errors.

In addition, the Kerr metric also has a more complicated singularity structure, which further complicates the derivation of an equivalent equation for hydrostatic equilibrium. Therefore, it is not surprising that when you attempt to derive the equation derivatives for the Kerr metric, you obtain large and complicated solutions.

In conclusion, while there have been attempts to derive an equivalent to the Tolman-Oppenheimer-Volkoff equation for the Kerr metric, there is currently no universally accepted result. Further research is still needed in this area to fully understand the hydrostatic equilibrium in the presence of the Kerr metric.
 

What is the Kerr metric hydrostatic equilibrium?

The Kerr metric hydrostatic equilibrium is a mathematical model used to describe the behavior of a rotating black hole. It takes into account the effects of both gravity and rotation on the shape and stability of the black hole.

How is the Kerr metric hydrostatic equilibrium different from other models of black holes?

The Kerr metric hydrostatic equilibrium is unique because it takes into account the rotation of the black hole, whereas other models only consider the effects of gravity. This is important because the rotation of a black hole can significantly affect its properties and behavior.

What factors determine the stability of a black hole in Kerr metric hydrostatic equilibrium?

The stability of a black hole in Kerr metric hydrostatic equilibrium is determined by several factors, including the mass and rotation rate of the black hole, as well as the properties of the surrounding matter and energy. These factors can influence the shape and behavior of the black hole, and ultimately determine its stability.

How does the Kerr metric hydrostatic equilibrium relate to general relativity?

The Kerr metric hydrostatic equilibrium is derived from the equations of general relativity, which is the theory of gravity developed by Albert Einstein. It is a more specific application of general relativity that applies specifically to rotating black holes.

What are some practical applications of studying the Kerr metric hydrostatic equilibrium?

Studying the Kerr metric hydrostatic equilibrium can help us better understand the behavior and properties of rotating black holes, which are some of the most mysterious and powerful objects in the universe. This knowledge can also have practical applications in fields such as astrophysics and cosmology, as well as in the development of new technologies related to space exploration and gravitational wave detection.

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