Deriving the Spherical Unit Vectors

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SUMMARY

The derivation of spherical unit vectors in Cartesian coordinates involves the position vector \(\vec{R} = r\sin(\theta)\cos(\phi)\hat{i} + r\sin(\theta)\sin(\phi)\hat{j} + r\cos(\theta)\hat{k}\). The unit vectors are defined as \(\hat{r} = \frac{\frac{\partial \vec{R}}{\partial r}}{\Big| \frac{\partial \vec{R}}{\partial r} \Big|}\), \(\hat{\theta} = \frac{\frac{\partial \vec{R}}{\partial \theta}}{\Big| \frac{\partial \vec{R}}{\partial \theta} \Big|}\), and \(\hat{\phi} = \frac{\frac{\partial \vec{R}}{\partial \phi}}{\Big| \frac{\partial \vec{R}}{\partial \phi} \Big|}\). The scale factors \(h_r\), \(h_{\theta}\), and \(h_{\phi}\) are essential for normalizing these vectors. A similar approach applies for deriving unit vectors in cylindrical coordinates by adjusting the position vector accordingly.

PREREQUISITES
  • Understanding of spherical coordinates and their relationship to Cartesian coordinates
  • Familiarity with partial derivatives in multivariable calculus
  • Knowledge of unit vectors and their significance in vector calculus
  • Basic understanding of scale factors or metric coefficients in curvilinear coordinates
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  • Study the derivation of cylindrical unit vectors using the position vector \(\vec{R}\) in cylindrical coordinates
  • Explore the concept of scale factors in various coordinate systems, particularly in General Relativity
  • Learn about the applications of spherical and cylindrical coordinates in physics and engineering
  • Investigate the mathematical implications of unit vectors in vector fields and their applications
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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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