Divergence of a radial field ##F=\hat{r}/r^{2+\varepsilon}##

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SUMMARY

The divergence of the radial field defined as \( F = \hat{r}/r^{2+\varepsilon} \) is calculated using spherical coordinates, resulting in the expression \( \text{div} F = -\frac{\varepsilon}{r^{\varepsilon + 3}} \) for \( r \in \mathbb{R} \setminus \{ 0\} \). The discussion highlights the simplicity of the solution, suggesting that a more complex representation may arise when converting to Cartesian coordinates. Participants emphasize the importance of clarity in mathematical terminology, particularly distinguishing between "too simple" and "simplistic." The conversation also touches on the compactness of the solution and the potential for expanded explanations in Cartesian coordinates.

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Homework Statement
Let's say we have a radial field ##F=\hat{r}/r^{2+\varepsilon}##. What is the divergence of this field ? You may ignore the origin.
Relevant Equations
$$\vec{\nabla} \cdot \vec{F} = \left(\left( \frac{1}{r^2 }\right)\frac{\partial(F_{r} r^2)}{\partial r}
+ \left( \frac{1}{r \sin \theta}\right)\frac{\partial(f_{\theta}\sin \theta)}{\partial \theta} + \left( \frac{1}{r\sin \theta}\right)\frac{\partial f_{\phi}}{\partial \phi}\right) dr d\theta d\phi$$
Following (1),
\begin{align*}
\text{div} F = \vec{\nabla} \cdot \vec{F} &= \frac{1}{r^2} \frac{\partial}{\partial r} \left( r^2 F_{r}\right) \\ &= \frac{1}{r^2} \frac{\partial }{\partial r} \left( r^2 \frac{1}{r^{2+\varepsilon}}\right) \\ &= \frac{1}{r^2} \frac{\partial}{\partial r} (r^{-\varepsilon}) \\ &= \left( \frac{-\varepsilon}{r^2}\right) \frac{1}{r^{\varepsilon +1}} \\ &= -\frac{\varepsilon}{r^{\varepsilon +3}} \qquad , \text{for} \ \ r \in \mathbb{R} \setminus \{ 0\}
\end{align*}

The solution I'm providing seems to be to simplistic. Perhaps I have missed a step somewhere? Thank you in advance.
 
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Why do you think it should be more complicated than that?
 
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PeroK said:
Why do you think it should be more complicated than that?
Thank you for your reply. Quite frankly this is my final answer but the reasoning seems quite simple. I just wanted to make sure that I don't miss anything out :)!
 
Mihail Anghelici said:
Thank you for your reply. Quite frankly this is my final answer but the reasoning seems quite simple. I just wanted to make sure that I don't miss anything out :)!
There's nothing missing that I can see.
 
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Mihail Anghelici said:
The solution I'm providing seems to be to simplistic.
You mean "too simple." Simplistic means "oversimplified." The phrase "too simplistic" means "too oversimplified" (as opposed to being oversimplified just enough). It just doesn't make sense.

https://brians.wsu.edu/2016/05/31/simplistic/
 
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vela said:
You mean "too simple." Simplistic means "oversimplified." The phrase "too simplistic" means "too oversimplified" (as opposed to being oversimplified just enough). It just doesn't make sense.

https://brians.wsu.edu/2016/05/31/simplistic/
Ah English is my fourth language therefore I still make common mistakes, thanks for pointing out this grammatical mistake !
 
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Like the others i don't see anything wrong in your work. Maybe it is kind of simple because it is done in spherical coordinates. Try to do it in cartesian coordinates i think it would be one page long or even more!.
 
Last edited:
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Delta2 said:
Like the others i don't see anything wrong in your work. Maybe it is kind of simple because it is done in spherical coordinates. Try to do it in cartesian coordinates i think it would be one page long or even more!.

<br /> \sum_i\frac{\partial}{\partial x_i} \left(\frac{x_i}{r^{3+\epsilon}}\right)<br /> = \sum_i\left(\frac{1}{r^{3 + \epsilon}}\frac{\partial x_i}{\partial x_i} - (3 +\epsilon) \frac{x_i}{r^{4 + \epsilon}}\frac{\partial r}{\partial x_i} \right)<br /> = \frac{3}{r^{3 + \epsilon}} - (3 +\epsilon) \frac{\sum_i x_i x_i}{r^{5 + \epsilon}}<br /> = \frac{3 - (3 + \epsilon)}{r^{3 + \epsilon}} = - \frac{\epsilon}{r^{3 + \epsilon}} in view of the obvious results \sum_i x_ix_i = r^2,\qquad\sum_i\frac{\partial x_i}{\partial x_i} = 3,\qquad \frac{\partial r}{\partial x_i} = \frac {x_i} r
 
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pasmith said:
<br /> \sum_i\frac{\partial}{\partial x_i} \left(\frac{x_i}{r^{3+\epsilon}}\right)<br /> = \sum_i\left(\frac{1}{r^{3 + \epsilon}}\frac{\partial x_i}{\partial x_i} - (3 +\epsilon) \frac{x_i}{r^{4 + \epsilon}}\frac{\partial r}{\partial x_i} \right)<br /> = \frac{3}{r^{3 + \epsilon}} - (3 +\epsilon) \frac{\sum_i x_i x_i}{r^{5 + \epsilon}}<br /> = \frac{3 - (3 + \epsilon)}{r^{3 + \epsilon}} = - \frac{\epsilon}{r^{3 + \epsilon}} in view of the obvious results \sum_i x_ix_i = r^2,\qquad\sum_i\frac{\partial x_i}{\partial x_i} = 3,\qquad \frac{\partial r}{\partial x_i} = \frac {x_i} r
Well you have compactified some steps (for example i would like to see the representation of the radial field in cartesian coordinates and the derivatives of ##r=\sqrt{\sum x_i^2}## with respect to each cartesian coordinate) but ok i am more than surprised that it can be done in less than half a page.
 
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  • #10
Everything follows from r^2 = \sum_j x_j^2 and thus by the chain rule <br /> 2r \frac{\partial r}{\partial x_i} = \sum_j 2x_j \frac{\partial x_j}{\partial x_i} = 2x_i.
As the radial basis vector is x_i/r, functions of r alone are not too difficult to deal with in cartesian coordinates; it's when functions depend on \theta and \phi that things get messy.

Naturally, if you write (x,y,z) instead of (x_1,x_2,x_3) then you will use more paper.
 
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  • #11
To save even more paper you can also use the Einstein summation convention and drop the summation symbols.
 
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