How to find the curl of a vector field which points in the theta direction?

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Homework Help Overview

The discussion revolves around calculating the curl of a vector field expressed in spherical coordinates, specifically a vector field pointing in the theta direction. The original poster presents the vector field and explores methods for finding its curl, either in spherical coordinates or by converting to Cartesian coordinates.

Discussion Character

  • Exploratory, Assumption checking, Mathematical reasoning

Approaches and Questions Raised

  • The original poster attempts to calculate the curl in spherical coordinates and questions the meaning of terms like ##r## and ##\sin\theta## in the context of their vector field. Other participants discuss the conversion between coordinate systems and the implications of typos in the original expression.

Discussion Status

Participants are actively engaging with the original poster's calculations, providing guidance on correcting expressions and clarifying the use of angles in spherical coordinates. There is a focus on ensuring the correct interpretation of the vector field and its components, with some participants suggesting resources for conversion between coordinate systems.

Contextual Notes

There are discussions about the implications of the vector field's components being zero and how that affects the magnitude and curl. Some participants express confusion over the notation and terminology used, leading to clarifications regarding the definitions of angles in spherical coordinates.

  • #31
Well we all are humans, we can do mistakes. No one is perfect.

@benorin The fact that you admitted your mistake I believe it says a lot about your ethos.
 
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  • #32
@Delta2 thanks. Bonus points for quoting he who was my hero during my romance with philosophy in college: Socrates.
 
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  • #33
I think a Cartesian coordinate system is actually defined as an affine coordinate system with origin ##O## and an orthonormal basis {##\vec{e}_x, \vec{e}_y, \vec{e}_z##} where the coordinates of ##P## are a tuple containing the components of the position vector ##\overrightarrow{OP} = x\vec{e}_x + y\vec{e}_y + z\vec{e}_z##.

Part of the confusion might be because it is not obvious how a polar/spherical coordinate system is defined, because the basis vectors depend on the position. I.e. we can only say ##\overrightarrow{OP} = r\hat{r}##, and the components of this vector evidently don't give us the coordinates.

Perhaps someone (@Orodruin/@Delta2) might be able to elaborate on how the mapping from ##A## to ##\mathbb{R}_n## is achieved for polar coordinates?
 
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  • #34
etotheipi said:
Part of the confusion might be because it is not obvious how a polar/spherical coordinate system is defined, because the basis vectors depend on the position. I.e. we can only say ##\overrightarrow{OP} = r\hat{r}##, and the components of this vector evidently don't give us the coordinates.

This is the key issue. In a Cartesian coordinate system, the coordinates also happen to be the components of the position vector. This is generally not true. A coordinate transformation is defined as a 1-to-1 map between two different sets of coordinates. It has no a priori relationship to the components of the position vector, but is just a function from an n-tuple of numbers to another n-tuple of numbers. For example, relating polar coordinates on ##\mathbb R^2## to Cartesian coordinates,
$$
x = \rho \cos\phi, \quad y = \rho \sin\phi.
$$
 
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