Do non-orthogonal coordinate systems mean dependent coordinates?

[gmmaro]

In non-orthogonal coordinate systems, can we say that changing a coordinate could result in changing another coordinate? That is, the coordinates are dependent on each other.

As I understood, non-orthogonal systems will have unit vectors (which are defined to point in the direction of increasing corresponding coordinates) not orthogonal to each other. Doesn’t that mean they could have components along each other’s direction? Thus if we move in the direction of one unit vector, we may “accidently” also move in the direction of another unit vector, yielding a change in another coordinate.

 

[DaveE]

Yes.

 

[Ibix]

Doesn’t that mean they could have components along each other’s direction?

It means that at least one does have a component parallel to at least one other, yes.

Thus if we move in the direction of one unit vector, we may “accidently” also move in the direction of another unit vector, yielding a change in another coordinate.

No, because moving along the direction of one coordinate basis vector is the definition of not changing the other coordinates. A simple example is to draw a non-orthogonal grid on paper. Label one intersection (0,0). All the intersections on one of the lines passing through that must then be (i,0) and those on the other line are (0,j). So if you start at the origin and move in the direction of one coordinate basis you will always have one or other coordinate being zero.

 

[PeroK]

In non-orthogonal coordinate systems, can we say that changing a coordinate could result in changing another coordinate? That is, the coordinates are dependent on each other.

As I understood, non-orthogonal systems will have unit vectors (which are defined to point in the direction of increasing corresponding coordinates) not orthogonal to each other. Doesn’t that mean they could have components along each other’s direction? Thus if we move in the direction of one unit vector, we may “accidently” also move in the direction of another unit vector, yielding a change in another coordinate.

Coordinate unit vectors are defined locally - as are vectors based on them. Take plane polar coordinates as an example, and consider the unit vector $\hat \theta$. The direction of $\hat \theta$ changes at every point. If you fix $r$ and follow $\hat \theta$, then you are not following the same unit vector at every point.

At each point, except the origin, the pair of unit vectors $\hat r, \hat \theta$ gives an orthogonal basis for the tangent space at that point. Note that as the Cartesian unit vectors do not change with position, you can ignore the concept of tangent space and identity the unit vectors as being the same at every point.

In non-orthogonal coordinates, the unit vectors form a non-orthogonal basis for the tangent space at each point. If two unit vectors coincided at a given point, then you would have some sort of coordinate singularity there. The origin is a coordinate singularity in plane polar coordinates, as $\theta$ is not defined at the origin.

Your question, I believe, doesn't properly recognise the local nature of vectors in general, curvilinear (non-Cartesian) coordinate systems.

PS more generally, you may be dealing with a non-Euclidean manifold, where the local nature of vectors becomes even more important.

 

[Svein]

What is "orthogonality"? You need to add some structure to your space in order to define it. The usual version is a Hilbert space, where you define a "scalar product" of two vectors. If that scalar product is 0, the vectors are said to be ortogonal.

 

[PeroK]

To give an example. Suppose two particles at different points both have the velocity $v_x \hat x + v_y \hat y$. Then, the two particles have the same velocity.

But, if they have the same components in plane polar coordinates $v_r \hat r + v_\theta \hat \theta$, then they do not have the same velocity. In other words, the same components represent a different ector at different points - and we see that these components apply technically to a vector in the local tangent space.