Frame fields vs. Coordinate bases

In summary: This is a generalization of the concept of a frame vector. The reason coordinate bases have these convenient properties is that they are "orthonormal". Suppose we have a coordinate basis and we want to calculate the effect of an arbitrary function on some region. We can do this by writing out the function's derivatives with respect to each coordinate, and then assembling these into an "integral equation" for the function. For example,
  • #1
masudr
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What is the difference, if any, between frame fields and coordinate bases?
 
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  • #2
masudr said:
What is the difference, if any, between frame fields and coordinate bases?

They are, in general, different.

A frame field is a set of four vector fields such that at each event in a region of spacetime, the vector fields evaluated at that event form an orthonormal basis for the tangent space. Frame fields are particularly useful for calculating physical effects.

A coordinate basis is derived from a coordinate system over a region of spacetime. To find a vector that is a member of a coordinate basis, hold fixed three coordinates well letting the remaining coordinate vary. This produces a curve in spacetime, and the tangent vector to this curve is a member of a coordinate basis (think partial derivative). One curve can be produced for each coordinate. Cooridinate bases are useful for many calculations, including those that exploit symmetry.

If a coordinate basis is a frame field over a region of spacetime, then that region of spacetime is flat (i.e., looks like a region of Minkowski spacetime).

Frame fields can be derived from coordinate bases by doing something analogous to Gram-Schmidt. A simple example is Schwarzschild.
 
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  • #3
An example might help.

In polar coordinates, one often defines unit vectors in the r and theta directions as [tex]\hat{r}[/tex] and [tex]\hat{\theta}[/tex].

This is a frame field. It's a non-coordinate basis.

The detailed mathematical treatment involves identifying vectors with partial derivatives or derivative operators - I don't know if you've seen this sort of treatment or not.

With this sort of treatment, a coordinate basis is just the set of partial derivatives with respect to any coordinate system.

It also turns out (if I recall correctly) that the derivative operators representing a coordinate basis commute - those that represent non-coordinate bases do not commute. That is how you could for instance show that the hatted vectors I alluded to either couldn't possibly be a coordinate basis no matter what coordinates you picked.
 
  • #4
Coordinate bases versus frame fields

masudr said:
What is the difference, if any, between frame fields and coordinate bases?

I think pervect had the right idea: study some simple but nontrivial examples. But I'll offer some general discussion:

Start with a smooth manifold M, i.e. we have some way to define derivatives of functions on M and we have tangent spaces at each point p. A "coordinate" on some neighborhood U of p is nothing but a monotonic nonconstant smooth function on U. If the tangent spaces have dimension d, a "coordinate chart on U" is nothing but a collection of d smooth functions whose gradients are pairwise non-parallel on U. Then the level surfaces form "transversely intersecting" nets. (Think of deforming a picture with three sets of mutually orthogonal planes in E^3). A "vector field on U", [itex]\vec{X}[/itex], is nothing but a first order linear homogeneous partial differential operator. At each point p, we can consider [itex]\vec{X}[/itex] and the coordinate vector fields [itex]\partial_{x^1}, \, \partial_{x^2}, \dots[/itex] to live in the tangent space at p, which is a dimensional vector space. Thus, by linear algebra we can express [itex]\vec{X}_p[/itex] as a linear combination of the coordinate basis vectors. The coefficients are the "components" with respect the coordinate basis.

It is important to realize that the most useful "coordinates" will have geometric interpretations which are coordinate-free, that is, we can define these nice coordinates in a noncircular fashion. This kind of geometric reasoning is necessary when we are trying to construct a sufficiently general chart for something like stationary axisymmetric spacetimes.

Forget spacetime for a moment and just think about noncartesian charts on ordinary euclidean space. Now, coordinate bases have many convenient properties and conventional index gymnastics computations uses this kind of basis. The great thing about tensor equations is that they are true in any coordinate chart. But the bad thing about tensor components is that they are "unphysical". For example, if we have an electric field vector and some observers, these observers can certainly define directions at their location and measure both magnitude and direction of the field. Now, in index gymnastics we can compute the field vector. Bu the coordinate vectors don't have unit length, so to compare with observation we need to need to rescale them and then rotate the result to obtain the components measured by our observer using his arbitrary unit directions "in space".

For example, consider a cylindrical chart, in which the line element becomes
[tex]ds^2 = dz^2 + dr^2 + r^2 \, d\phi^2, \;
-\infty < z < \infty, \; 0 < r < \infty, \; -\pi < \phi < \pi
[/tex]
Here, the coordinate basis vectors are [itex]\partial_t, \, \partial_r, \partial_\phi[/itex]. The last is not a unit vector, however. So to construct "local frame vectors" at a given point, we need to rescale it:
[tex]
\vec{e}_1 = \partial_z , \;
\vec{e}_2 = \partial_r , \;
\vec{e}_3 = \frac{1}{r} \, \partial_\phi
[/tex]
If you draw a picture, you'll see these particular frame vectors are "aligned" with the chart. We can apply a smooth section in SO(3)-bundle to rotate this frame into the Cartesian frame, which is both a coordinate basis and a frame field (only possible in flat space!):
[tex]
\vec{f}_1 = \partial_x , \;
\vec{f}_2 = \partial_y , \;
\vec{f}_3 = \partial_z
[/tex]

In spacetime, we can use a smooth section in SO(1,3)-bundle to rotate/boost one frame into another. Now this is very useful because this is just what we need to compare the physical experience of observers in different states of motion whose world lines pass near some event p. In other posts at PF I have given some very detailed examples in which I compared the physical experience of some important families of observers in the Schwarzschild vacuum: static observers who use their rocket engine to hover in place, Lemaitre obsevers who fall in freely and radially "from rest at infinity", Novikov observers who fall in freely and radially from rest at r=r_0, slowfall observers who maintain just the right outward thrust which would hold them up against gravity if they lived in a Newtonian universe, and who therefore slowlyl fall in radially because "Einsteinian gravity is stronger" (because gtr is a nonlinear field theory in which gravitational field energy gravitates), and so on.

But the fact that frame fields, not coordinate bases, give components of a multicomponent object which an observer might actually measure, so that we can check theory against experiment, is not the only reason for prefering them. It turns out that most elementary computations are just plain easier if you use Cartan's "moving frame" formalism. See MTW, the book by Flanders cited at http://math.ucr.edu/home/baez/RelWWW/HTML/reading.html#TensorCalc and the book by Frankel cited at http://math.ucr.edu/home/baez/RelWWW/HTML/reading.html#physback for many examples. Using this formalism, you can compute covariant derivatives and so on directly, but if you don't know it, you can always convert from any coordinate frame to any frame field by applying the appropriate linear transformation at each event.

There is never much point in listing components of a vector or tensor with respect to a coordinate basis since these have no convenenient geometrical or physical interpretation! So trying to interpret them will only lead to confusion. Rather, to understand the local geometry and physics you have to choose some family of observers, in fact some frame field, compute the components in this frame, and interpret the results in terms of the physical experience of these observers, in some thought experiment. It doesn't matter how you obtain the frame components, although as I said Cartan's methods are almost always easiest, as long as you obtain them before trying to interpret a vector or tensor.
 
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  • #5
Thank you for all your responses.
 

1. What is the difference between frame fields and coordinate bases?

Frame fields and coordinate bases are both mathematical tools used to describe geometric spaces. However, they have different definitions and applications. A frame field is a collection of vector fields that span the tangent space of a manifold at each point, while a coordinate basis is a set of basis vectors that define a coordinate system in a space.

2. How are frame fields and coordinate bases related?

Frame fields and coordinate bases are related in that they both provide a way to describe the geometry of a space. In fact, a coordinate basis can be constructed from a frame field, and vice versa. However, they have different purposes and are used in different contexts.

3. Can frame fields and coordinate bases be used interchangeably?

No, frame fields and coordinate bases cannot be used interchangeably. While they both describe the geometry of a space, they have different mathematical definitions and are used for different purposes. For example, frame fields are commonly used in the study of differential geometry, while coordinate bases are used in linear algebra and vector calculus.

4. How are frame fields and coordinate bases used in physics?

Frame fields and coordinate bases are essential tools in the study of physics. Frame fields are used to describe the curvature and topology of spacetime in general relativity, while coordinate bases are used to define reference frames and calculate physical quantities such as velocity and acceleration. In quantum mechanics, coordinate bases are used to represent quantum states and operators.

5. Are there any real-world applications of frame fields and coordinate bases?

Yes, there are many real-world applications of frame fields and coordinate bases. For example, they are used in computer graphics to model and manipulate 3D objects, in robotics to control the movement of robotic arms, and in engineering to design structures and analyze stress and strain. They are also used in various fields of science, such as biology, chemistry, and astronomy, to describe and analyze complex systems.

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