Gradient in spherical coordinates

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The discussion focuses on converting the gradient operator from rectangular to spherical coordinates. Participants share insights on expressing rectangular basis vectors in terms of spherical basis vectors, emphasizing the importance of understanding the transformation equations. The gradient in spherical coordinates is defined, and the process to derive the Laplacian is clarified, highlighting that it involves taking the divergence of the gradient rather than simply squaring the gradient. There is also a request for assistance in preparing a presentation on spherical coordinates and their background. The conversation underscores the complexity of the topic and the need for clear guidance in the conversion process.
ehrenfest
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Homework Statement


Given the gradient

del = x-hat d/dx + y-hat d/dy + z-hat d/dz

in rectangular coordinates, how would you write that in spherical coordinates. I can transform the derivatives into spherical coordinates. But then I need to express the rectangular basis vectors in terms of the spherical basis vectors. Is that possible?

Homework Equations


The Attempt at a Solution

 
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Anyone?
 
Sure it's possible!

If you're working on Zwiebach, I'm sure you have a mechanics texbook lying around somewhere! Or a Griffith's E&M ! It's done in there if you ever get tired of looking. But it's not very difficult.
 
del = x-hat d/dx + y-hat d/dy + z-hat d/dz

I am sorry. This is really bothering me. Can someone please walk me through how you would convert this to spherical coordinates? All of my books just say something like "after tedious calculations," and then show the gradient and the Laplacian in spherical coordinates.

You do not need to show me the tedious calculations. Just tell me what to do!
 
Okay, so you wish to represent rectangular coordinates in terms of spherical ones.

We have:
\vec{i}_{r}=\sin\phi(\cos\theta\vec{i}+\sin\theta\vec{j})+\cos\phi\vec{k}
\vec{i}_{\phi}=\cos\phi(\cos\theta\vec{i}+\sin\theta\vec{j})-\sin\phi\vec{k}
\vec{i}_{\theta}=-\sin\theta\vec{i}+\cos\theta\vec{j}
Now,
Compute the following quantity:
\sin\phi\cos\theta\vec{i}_{r}+\cos\phi\cos\theta\vec{i}_{\phi}-\sin\theta\vec{i}_{\theta}
see if that helps you
 
That equals \vec{i}.
So, the best way to find the expressions for \vec{j} and \vec{k} in terms of \vec{i_r},\vec{i_{\phi}},\vec{i_{\theta}} is probably by inverting that matrix, right?
 
Sure, but you should be able to do that without a full row reduction procedure.

Remember that the square of cosine plus the sine square equals 1.
What should you therefore multiply your vectors with to get, say, k?
 
OK. Got the gradient. Now, to calculate the Laplacien, I just dot that with itself. But in the equation of the Laplacian, it seems like there are cross-terms between the coefficients of different spherical basis vectors. Does that make sense. Why do you not just square the coefficients of \vec{i_r},\vec{i_{\phi}},\vec{i_{\theta}} in the gradient and add them up? Since \vec{i_r},\vec{i_{\phi}},\vec{i_{\theta}} I thought you could do that.
 
Does my question make sense to anyone?
 
  • #10
Please?
 
  • #11
Ok. Sure. You don't dot a gradient with itself to get the laplacian. You take the divergence of the gradient to get the laplacian.
 
  • #12
ehrenfest said:
OK. Got the gradient. Now, to calculate the Laplacien, I just dot that with itself. But in the equation of the Laplacian, it seems like there are cross-terms between the coefficients of different spherical basis vectors. Does that make sense. Why do you not just square the coefficients of \vec{i_r},\vec{i_{\phi}},\vec{i_{\theta}} in the gradient and add them up? Since \vec{i_r},\vec{i_{\phi}},\vec{i_{\theta}} I thought you could do that.

Sure you can "dot" the gradient with itself to get the Laplacian operator, as long as you do so PROPERLY.

The gradient in spherical coordinates is:
\nabla=\vec{i}_{r}\frac{\partial}{\partial{r}}+\vec{i}_{\phi}\frac{\partial}{r\partial\phi}+\vec{i}_{\theta}\frac{\partial}{r\sin\phi\partial\theta}
The Laplacian is now gained as follows:
\nabla^{2}=\vec{i}_{r}\cdot\frac{\partial\nabla}{\partial{r}}+\vec{i}_{\phi}\cdot\frac{\partial\nabla}{r\partial\phi}+\vec{i}_{\theta}\cdot\frac{\partial\nabla}{r\sin\phi\partial\theta}
Remember that unit vectors are varying functions of the angles.
 
Last edited:
  • #13
I see. Thanks.
 
  • #14
could anyone help me in preparing my presentation?
who introduce the spherical coordinates? its back ground?
 

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