Deriving the Spherical Unit Vectors

AI Thread Summary
The discussion focuses on deriving spherical unit vectors in Cartesian coordinates, emphasizing the importance of direction over length. The conversion from rectangular to spherical coordinates is outlined, with the position vector expressed in both coordinate systems. The unit vectors \(\hat{r}\), \(\hat{\theta}\), and \(\hat{\phi}\) are derived using partial derivatives of the position vector with respect to their respective coordinates, and it is noted that they need to be normalized to become true unit vectors. Additionally, a similar approach can be applied to derive unit vectors for cylindrical coordinates. The conversation concludes with an offer to publish a more detailed article on the topic in the future.
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Does anyone know how to derive the spherical unit vectors in the cartesian basis? Or a good link that might show how its done?

I would also like to see it done for the cylindrical coordinates. I have tried to do it, especially for the spherical case, but i can only get r-hat.

It would be a great help!
 
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Well, I have written an article about it (its not typed though). If you could wait for a week or so, I can type it, put it on PlanetMath, publish it and then give you the link (I can't do it now because my Final exams are approaching soon).

Anyways, the basic idea is as follows:

You know that the conversion from rectangular to spherical coordinates goes like this:
x = r\sin(\theta)\cos(\phi), \qquad y = r\sin(\theta)\sin(\phi), \qquad z = r\cos(\theta)

Now we can represent any point in space in terms of the position vector \vec{R} = x\ha{i} + y\hat{j} + z\hat{k} or in spherical coordinates as:
\vec{R} = r\sin(\theta)\cos(\phi)\hat{i} + r\sin(\theta)\sin(\phi)\hat{j} + r\cos(\theta)\hat{k}.

So far so good! Now, what does it mean for something to be a unit vector?? Take for example the vector \hat{r}. What's special about it? Its not really its length because all unit vectors have the length of 1. That's BORING! BUT its DIRECTION is special, because that is what separates one unit vector from another. Our unit vector \hat{r}, for example, points in the direction where the coordinate r increases while the rest of the coordinates are held constant.

Well, this is the same thing as taking the PARTAL derivative of the position vector \vec{R} with respect to r while holding \theta and \phi constant (think about it, it'll make sense).

So therefore:
\hat{r} = \frac{\partial \vec{R}}{\partial r} \qquad \hat{\theta} = \frac{\partial\vec{R}}{\partial\theta} \qquad \hat{\phi} = \frac{\partial\vec{R}}{\partial\phi}

Warning: What I have given you are not exactly unit vectors. You still have to divide them by their respective lengths but they do have the right direction which is the more important thing.

edit: Here's is the more accurate forumulation:

\mathbf{ \hat{r} = \frac{\frac{\partial \vec{R}}{\partial r}}{\Big| \frac{\partial \vec{R}}{\partial r} \Big|} \qquad \hat{\theta} = \frac{\frac{\partial\vec{R}}{\partial\theta}}{\Big| \frac{\partial\vec{R}}{\partial\theta} \Big|} \qquad \hat{\phi} = \frac{\frac{\partial\vec{R}}{\partial\phi}}{\Big| \frac{\partial\vec{R}}{\partial\phi} \Big|} }

You can derive the unit vectors for cylindrical coordinates in a similar way by changing the position vecotor \vec{R} accordingly.

Hope this helps. :smile:
 
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Swapnil said:
\mathbf{ \hat{r} = \frac{\frac{\partial \vec{R}}{\partial r}}{\Big| \frac{\partial \vec{R}}{\partial r} \Big|} \qquad \hat{\theta} = \frac{\frac{\partial\vec{R}}{\partial\theta}}{\Big| \frac{\partial\vec{R}}{\partial\theta} \Big|} \qquad \hat{\phi} = \frac{\frac{\partial\vec{R}}{\partial\phi}}{\Big| \frac{\partial\vec{R}}{\partial\phi} \Big|} }
BTW, we can write the above expression more concisely as:

\hat{r} = \frac{\frac{\partial \vec{R}}{\partial r}}{h_r} \qquad \hat{\theta} = \frac{\frac{\partial\vec{R}}{\partial\theta}}{h_{\theta}} \qquad \hat{\phi} = \frac{\frac{\partial\vec{R}}{\partial\phi}}{h_{\phi}}

where

h_r = \Big| \frac{\partial \vec{R}}{\partial r} \Big|, \quad h_{\theta} = \Big| \frac{\partial\vec{R}}{\partial\theta} \Big|, \quad h_{\phi} = \Big| \frac{\partial\vec{R}}{\partial\phi} \Big|

and h_r, h_{\theta}, h_{\phi} are collectively know as scale factors or metric coefficients of the spherical coordinate system. They are also denoted as h_1, h_2, h_3 or simply as h_i sometimes (especially in General relativity) when working with any arbitrary curvilinear coordinate system.
 
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Thank you sooooooo much for this.
Simple but the idea of direction made it so easy!
 
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