Logic Cloud said:
In explanations of the importance the tensors I often see people refer to transformation properties, general covariance and the like. Now, I have also often read that in principle any physical theory, e.g. classical mechanics and special relativity, can be written in a generally covariant form, but this would just make the formulation unnecessarily complicated. I'm now looking for a statement along the lines
"CM has property X, which allows us to use vectors instead of the full tensor calculus."
or
"GR does not have property X, which necessitates the use of tensors."
I assume "X" will have something to do with the no prior geometry feature of GR, but I'd like to make this more precise.
I'm not sure if I understand what you're trying to do. So I'm going to ramble a bit and hope that it's useful.
Let's talk about some cases where you don't need tensors first. If you have a flat plane, you can assign coordinates to it in such a manner that the distance between points (x1,y1) and (x2,y2) is ##\sqrt{(x2-x1)^2 + (y2-y1)^2}##. Then you can use non-tensor methods to do geometry on the plane that I presume you're familiar with.
Now, sometimes coordinates like (x1,y1) are not convenient. You might want to use polar coordinates, for instance, ##r, \theta##. You can still do geometry, but the rules are a bit different. Typically you initially learn how to do this all as special cases for simple special coordinates, like cartesian and polar coordinates.
But there's lots of coordinates you could use on a plane. You might have occasion (rarely) to use oddball coordinte systems like elliptical coordinates, hyperbolic coordinates, or others.
The rule of covariance, says, basically, that we must get the same answers to any question we ask regardless of how we assign our coordinates. We can use cartesian coordinates, polar coordinates, whatever we like - but we can convert our answers from one coordinate system to another coordinate system, and they have to agree.
The general formula for the distance between two arbitrary points p1 and p2 with general coordinates will be given by a more general formula that is difficult to write down. If the two points are "close together", then we can use methods from differential geometry, where we write distances in terms of differentials like dx and dy - though instead of using x and y, we'll often introduce subscripts such as ##dx_1, dx_2## , which is just a matter of notation. I was going to get into that more, but this post is long enough and it's not an important issue.
When we use differentials, we come up with different formulas for distance depending on our coordinate choices, such as ##d^2 = dx^2 + dy^2## for cartesian coordinates, or ##d^2 = dr^2 + r^2 d\theta^2## for polar coordinates.
Differential geometry is an important tool in general relativity in it's own right, but you were asking about tensors. Tensors arise naturally in differential geometry. If we wanted to write the distance between two nearby points via the diferentials, we might write a general 2d formula as something like: ##d^2 = g_{11} dx^2 + 2\,g_{12}dx\,dy + g_{22}dy^2##. Here the various values of g are in general functions of the coordinates x, y. The entity "g" follows certain transformation rules that make it a tensor. So we are strongly motivated to learn about tensors at this point, so we can learn differential geometry, because the metric tensor is so important to this topic. There are some other, more exotic tensors that are important to differential geometry and General realtivity too, but for the purposes of this post, the metric tensor is enough.
So far it's all been a matter of choice - we aren't forced to use anything but cartesian coordinates, though we may find it convenient. Are there any cases where we wouldn't be able to use cartesian coordinates?
The answer to this is yes. Suppose we want to do geometry on the surface of a sphere. Try as we might, we cannot find coordinates that make the distance between two nearby points as simple as ##dp^2 + dq^2##. If we use coordinates like lattitude and longitude, though, we can find the metric tensor g (I won't write it down), and use the methods of differential geoemtry via the use of this metric tensor.
What prevents us from using cartesian coordinates when we want to do geometry on the surface of the sphere is the fact that the surface of the sphere is curved, and the cartesian coordinates only work on flat geometries in a plane.
Onto some remarks about physics. Both Newtonian mechanics and special relativity can be done in Cartesian coordinates, because the geometries are basically flat. The geometry of Newton is a flat spatial geometry, which we can quickly summarize via the Cartesian expression for distance, ##dx^2 + dy^2 + dz^2##. The geometry of special relativity is a flat space-time geometry. Because it's flat , we don't need tensors yet, but the 4-d geometry involves a quantity called the "Lorentz interval" that has the form ##dx^2 + dy^2 + dz^2 - c^2 dt^2##. The minus sign is a definite complication - it turns out we don't need tensors to handle it, but our notion of "geometry" has shifted towards the abstract, rather than the geometry of "distances" we used in Eucliedean geometyr, we have a geometry of the "Loretnz Interval" in special relativity.
When we want to move on to the geometry of General Relativity, it's just not flat at all, and we can't find Cartesian coordinates at all because of the fact that it's not flat. So we are more or less forced to use differential geometry with a general metric tensor. And this means we need to understand tensors.
Once we understand tensors, it turns out they are very useful, and at the graduate level of physics one often re-learns how to use them as a powerful tool, that's useful in areas other than differential geometry that was our initial motivation for learning them.
It may be convenient to do things in a different order, though. One might learn electromagnetism without tensors, for instance, then learn about how tensors can be used in E&M in a familiar setting, before setting sail for the seas of differential geometry and General relativity.