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| Apr13-11, 12:13 PM | #18 |
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DiffeomorphismsThis may be a stupid question but what is the form of the radial vector? Would it just be [latex]X=\frac{\partial}{\partial r} \Rightarrow X^\mu(0,1,0,0)[/latex] in Schwarzschild coordinates? If so, when I calculate [latex]g_{rr}X^rX^r[/latex] I find it to be spacelike so I'm guessing that's wrong. Moreover, how does showing a vector is timelike tell us it behaves like a time coordinate/that t doesn't behave like a time coordinate? |
| Apr13-11, 12:40 PM | #19 |
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| Apr13-11, 01:24 PM | #20 |
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Leave [tex]f[/tex] arbitrary, but note that you have [tex](\partial/\partial y^\alpha )f(y^\alpha)[/tex] on the LHS and [tex](\partial/\partial x^\mu) f(y^\alpha)[/tex] on the RHS. You want to use the chain rule on the RHS and equate coefficients.
[/QUOTE] What happened to your [latex]\phi^*(f)[/latex] on the RHS - you have just made it [latex]f[/latex], no? Anyway, let's say I try with the metric in EF coords.... we have [latex]g_{\mu \nu} X^\mu X^\nu[/latex] with [latex]X^\mu=(0,1,0,0)[/latex] so we would have [latex]g_{\mu \nu} X^\mu X^\nu=g_{rr}X^rX^r=g_{rr}=0[/latex]? I'm sure I've done this before. I can't understand what I am doing wrong! I assume that checking it's timelike is the only way? Presumably then t would be spacelike in this region? How would we prove this since there is no t coordinate in the EF coord metric? Thanks again. |
| Apr13-11, 02:04 PM | #21 |
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The simplest way I'd work this out is by using the Schwarzschild coordinates for the region [tex]r<2M[/tex]. Then it's almost trivial to show that the radial and time coordinates get switched. One can complain that the coordinates are not valid past [tex]r=2M[/tex], but I don't see anything wrong with using EF to extend through [tex]r=2M[/tex] and then transforming back. One can obviously show the same thing in EF coordinates, it just seems like it's going to be a lot harder. One can see how it works qualitatively by looking at the light cones in the Finklestein diagram on pg 18 of Townsend's BH notes. It's actually a little bit complicated to work those lightcones out, but is sort of a useful exercise if your morals prevent you from believing my suggestion above. |
| Apr13-11, 02:56 PM | #22 |
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| Apr13-11, 04:26 PM | #23 |
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Secondly, that the metric is the "same" does not mean that [latex]X^\mu X_\mu[/latex] has the same value in both regions. Just try to compute it and see for yourself. |
| Apr13-11, 04:50 PM | #24 |
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[latex]( \phi_*(X))^\alpha \left( \frac{\partial}{\partial y^\alpha} \right)_{\phi(p)} f(y^\beta) = X^\mu \left( \frac{\partial}{\partial x^\mu} \right)_p (\phi^* f)(x^\nu)[/latex] [latex]( \phi_*(X))^\alpha \left( \frac{\partial}{\partial y^\alpha} \right)_{\phi(p)} f(y^\beta) = X^\mu \left( \frac{\partial}{\partial x^\mu} \right)_p f(y^\beta)[/latex] using [latex] (\phi^*f)(x^\nu)=f(\phi(x^\nu))=f(y^\beta)[/latex] so [latex]( \phi_*(X))^\alpha = X^\mu \left( \frac{\partial y^\alpha}{\partial x^\mu} \right)_p [/latex] One little problem though is that in the 2nd last line I had the d/dy evaluated at phi(p) but then when I cross multiplied I now miraculously have it evaluated at p. How does that work? Taking t=0 and r=1 I find [latex]v=1+2M \log{ | \frac{1-2M}{2M} | }[/latex] So [latex]X^\mu=(1+2M \log{ | \frac{1-2M}{2M} | },1,0,0)[/latex] Surely those components are wrong? |
| Apr13-11, 05:27 PM | #25 |
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[tex] \left( \frac{\partial}{\partial x^\mu} \right)_p = \left( \frac{\partial y^\alpha}{\partial x^\mu} \right)_p \left( \frac{\partial}{\partial y^\alpha} \right)_{\phi(p)} [/tex] |
| Apr13-11, 06:48 PM | #26 |
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where [latex]A^\mu{}_\nu = \frac{\partial x'^\mu}{\partial x^\nu}[/latex] So what is this [latex]A[/latex] matrix? I find it has non zero cpts [latex]A=\text{diag} ( \frac{\partial v}{\partial t} , 1 , 1 , 1)[/latex] but then [latex]v=t+r+2M \log{ | \frac{r}{2M}-1 |} \Rightarrow \frac{\partial v}{ \partial t}=1[/latex] but then we just have a identity matrix which doesn't seem very useful? |
| Apr13-11, 08:16 PM | #27 |
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| Apr14-11, 04:43 AM | #28 |
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But things don't really simplify much when I work out [latex]g_{\mu \nu} X'^\mu X'^\nu[/latex]? Also, in Chapter 34, he says that outgoing radial null geodesics inside the region r<2M will have decreasing r and therefore reach the r=0 singularity in finite affine parameter. This makes sense to me physically but I don't see how the maths backs it up. We have shown that [latex]\frac{dr}{d \tau}=1[/latex] for these radial null geodesics and so wouldn't they have increasing r i.e. be able to escape from the black hole? |
| Apr14-11, 11:40 AM | #29 |
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| Apr14-11, 11:54 AM | #30 |
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What do you mean by fix it? The only way I can think of to see what the radial coordinate is doing along the geodesic is to find its rate of change wrt the affine parameter and that is given as [latex]\frac{dr}{d \tau}=1[/latex] so why does that not mean the geodesic will have increasing r? And do you have any advice about my attempt to do that calculation in the last post? Am I going about it on the right lines? Thanks again! |
| Apr14-11, 12:11 PM | #31 |
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| Apr14-11, 02:05 PM | #32 |
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Surely [latex]\tau[/latex], being the affine parameter, can only increase? where [latex]A^\mu _\nu = \frac{\partial x^\mu}{\partial x^\nu}[/latex] Now our sets of coords are (v,r,theta,phi) and (t,r,theta,phi) So [latex]X'^1=X'^2=X'^3=1[/latex] (I'm hoping my [latex]X'^1[/latex] component is ok there. I don't think r in EF varies with t, theta or phi so I think it's ok. So we need to work out [latex]\frac{\partial v}{\partial x^\nu}[/latex] but [latex]v=t+r_*=t+r+2M \log{| \frac{r}{2M}-1|}[/latex] so [latex]\frac{\partial v}{\partial t}=1[/latex] and [latex]\frac{\partial v}{\partial r} = 1 +\frac{2M}{\frac{r}{2M}-1} \frac{1}{2M}=1+\frac{2M}{r-2M}[/latex] so presumably these add to give [latex]\frac{\partial v}{\partial x^\nu}=2 + \frac{2M}{r-2M}[/latex]? One small problem I encountered whilst reading is why in the 1st line of (35) do we only vary the derivative terms and not the metric outside the brackets? Cheers. |
| Apr14-11, 04:27 PM | #33 |
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when [tex]r<2M[/tex]. |
| Apr14-11, 06:49 PM | #34 |
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I find [latex]X'^\mu=(1-\frac{2M}{2M-r},1,0,0)[/latex] and then [latex]g(X,X)= \frac{4M^2}{(2M-r)r} - \frac{6M^3}{(2M-r)r^2} + 1 - \frac{2M}{2M-r}[/latex] I find this can be rewritten as [latex]g(X,X)=1-\frac{2M}{2M-r} \left( \left( \sqrt{3} \frac{M}{r} - \frac{1}{\sqrt{3}} \right)^2 + \frac{8}{9} \right)[/latex] Now everything in the brackets is positive and [latex]\frac{2M}{2M-r}>1[/latex] for [latex]r<2M[/latex] so we get [latex]g(X,X)<0[/latex] Does this look ok? How about doing the same thing in Schwarzschild coordinates? What did I do wrong the 1st time I tried this and ended up finding [latex]r[/latex] to be spacelike. I'm curious as to how they agree! Cheers. |
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