CKH said:
OK. this is more than a bit over my head. I understand we are generalizing a law so that it may be stated in "any" coordinate system, but we are only doing it at one point. So perhaps we are only interested in the rates of change in coordinates at this point; maybe first and second derivatives?
Unfortunately I don't understand the notation so it's still a little foggy what's going on. What is it that designates the coordinate system? Can you tell me easily what each letter designates in the full equation or provide a reference?
As I said, U^\mu = \frac{d x^\mu}{ds}, so that's the "4-velocity". A^\mu is any other 4-vector.
This A^\nu vector is a unit 4-vector indicating a direction in which coordinates?
A^\mu is any 4-vector (not necessarily a unit vector). You pick whatever coordinate system you like, and then that coordinate system determines the components of A and U and determines the coefficients \Gamma^\mu_{\nu \lambda}.
You said that the coefficients are all zero in any (Cartesian) inertial frame. That seems to imply that the "from" coordinates are Cartesian coordinates in an inertial frame. In that special case there are no fictitious forces to account for, so that entire term drops out.
It's not a transformation, so there are no "from" coordinates. However, you can use transformations to figure out connection coefficients in one coordinate system from the connection coefficients in another coordinate system. The connection coefficients themselves are not transformations, though.
There are a lot of coefficients (64). What are all these coefficients?
They describe how the components of vectors change from place to place. Let me go through the example of 2D flat space in polar and cartesian coordinates. In the case of Cartesian coordinates x,y, if an object is moving around, then its velocity is given by the vector U = U^x e_x + U^y e_y where U^x = \frac{dx}{dt} and U^y = \frac{dy}{dt}, and where e_x is the basis vector in the x-direction and e_y is the basis vector in the y-direction. The nice thing about Cartesian coordinates is that the basis vectors are
constant. e_x points in the same direction no matter what your location.
But now switch to polar coordinates r and \theta. Then if you have an object that is moving around, its velocity is given by U^r e_r + U^\theta e_\theta where U^r = \frac{dr}{dt} and U^\theta = \frac{d\theta}{dt}, and where e_r and e_\theta are basis vectors in the r and \theta directions, respectively. If you work out what the basis vectors e_r and e_r are in terms of a cartesian basis e_x and e_y, you will find:
e_r = cos(\theta) e_x + sin(\theta) e_y
e_\theta = - r sin(\theta) e_x + r cos(\theta) e_y
Note that e_r is not constant. When \theta = 0, it points in the x-direction. When \theta = \frac{\pi}{2}, it points in the y-direction. Similarly, e_\theta is not constant, either. We can characterize how e_r and e_\theta change with position by taking derivatives:
\partial_\theta e_r = - sin(\theta) e_x + cos(\theta) e_y = \frac{1}{r} e_\theta
\partial_\theta e_\theta = - r e_r
\partial_r e_\theta = \frac{1}{r} e_\theta
The general pattern is that \partial_\nu e_\lambda is equal to some combination of other basis vectors. The coefficient \Gamma^\mu_{\nu \lambda} is the number multiplying e_\mu. So for our example, we can read off:
\Gamma^\theta_{\theta r} = \frac{1}{r}
\Gamma^r_{\theta \theta} = -r
\Gamma^\theta_{r \theta} = \frac{1}{r}