message, in a metric bottle...
I would guess that the meaning of the coordinates differs between the 2 metrics (two geometries).
In one you have x and y in a flat geometry, i.e. 2D Cartesian coordinates.
In the other you have x and y in some other kind of geometry, i.e. probably not 2D Cartesian coordinates.
I hope you will not take too much offence, but as far as I know, the above shows that you do not understand how metrics and coordinate systems work. You did say it was your guess after all.
Let's flesh out things some. First off, how does one measure the metric? Unless you believe the metric is some a priori thing, it should be measurable right? Before how metrics can be measured can be understood though, one needs to understand local metrics. I will stay with GR as my context.
In a small enough region of space-time (locally, that is), the metric should be Lorentzian (free fall frame). In other words, the metric in such a situation will be
[latex]
(1) ds^2 = c^2 d\tau^2 = c^2 dt^2 - dx^2 - dy^2 - dz^2,
[/latex]
where tau is the propre-time. (please, no comments about how on the inside of a blackhole the signature of the space changes, I am well aware of those ideas and I am just talking about normal, plain jane situations here)
Now, how does this help in measuring a metric? Well, if we have another observer who is not as close to things but measures in their own coordinate system (of which type does not change, even if measuring other geometries in GR) measures their own differences
[latex]
(2) dx^{\mu},
[/latex]
then conceivably I know of two ways to measure the metric. Perhaps there are more, but these are the ones I know of. A note, we are trying to find the metric at the point P.
I. Use the Differences.
In physics we do not measure dx's but small differences. One could therefore for instance say the measured metric at P is
[latex]
(3) g_{\mu\nu} =
(\Delta ct / \Delta x^{\mu})(\Delta ct / \Delta x^{\nu}) +
\mbox{"same for x, y, z"}.
[/latex]
Experimentally one would want several differences measured from a given point where the metric is to be measured. Then the metric at that point would be averaged.
II. Use the Square Lengths.
The ds^2 from equation (1) should be the same as the ds^2 from the following:
[latex]
(3) ds^2 = g_{\mu\nu} dx^{\mu} dx^{\nu}.
[/latex]
(understand that experimentally though we would be using small differences and not differentials, also, there is no requirement in GR that coordinates not measured locally have to have a Lorentzian signature RC, that is part of the point behind GR before you go complaining how dumb I am again).
So you get the ds^2 from (1) because the differences in both coordinate systems are known, and that can give you ds^2 immediately.
Now you could either measure a bunch of differences from P to other points close by and use (3) in one of two ways to find g at P.
1. Measure from P to 16 other points and use matrix algebra (the differences are constants and the metric components are the unknowns of which there are 16 in number corresponding to the metric tensor components).
2. Over determine the metric in (3) by measuring more then 16 points from P and use the method of least squares (I think you can do least squares on linear regressions right?).
If I were an experimentalist I would use method II.2. since it will give the tightest fit. It does not matter though because the point is that the coordinate system x^{\mu} does not change, and nor should it. A coordinate system is like an algorithm for finding points and that is bijective between how the points are labeled and the points themselves. That is all it is.
Incidentally, this is part of the reason why in math they talk about Tangent Vector spaces and all that (for sol invictus and Vorpal), to make the idea of metrics precise. Vorpal, you have been kind of quiet recently.
Another note is that method I. will always give you symmetric metrics as per
[latex]
g_{\mu\nu} = g_{\nu\mu}.
[/latex]
It is therefore perhaps better to always use II. methods in measuring metrics because it can allow for non-symmetric metrics, as far as I can tell. We do not want to make any assumptions when measuring things after all.
For example compare
spherical coordinates to
Schwarzschild coordinates. Both have r in them but they are not the same r.
Haha, I agree that the two r's are not the same, but that is getting ahead of the story as it were.
No you cannot. The answer is that your question was not clear enough to answer.
The next sentence states a mathematic fact: The
Schwarzschild coordinates do define a family of nested spheres (nested in the sense that changing r changes which sphere you are referring to).
Fair enough, the logical import of your statements was that, but it is your prerogative whether to say yes or no, even if it disagrees with logic. I can just hold you to what you have said already.
That is dumb in the sense of careless, because you stated a metric which did not contain r and then "I have not checked, but I am relatively sure that such a geometry will not give K = 1/r^2".
That is correct - a metric that does not contain r will not give K = 1/r^2.
If you wanted an r in the metric then you should have transformed the coordinates to put an r in it.
Now I get to use a word that you much love to abuse, trivial. Transforming from a coordinate system that is in (time + cylindrical) to one containing r as per (time + polar) is trivial. The point was more abstract then that anyways, and is, sadly, lost on you, because you, in my estimation, do not have the maths currently.
Calculating K can be a pain. Let's see how you do with the above stuff on how to measure metrics before I give a metric with a K I have worked out completely. My guess is you will not get the ideas about how metrics and coordinate systems work, but perhaps sol invictus might.