Stokes' Theorem Example Question

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The discussion revolves around solving a Stokes' Theorem problem involving the vector field F and a specified path C. The user attempts to evaluate the line integral using Stokes' Theorem but arrives at an incorrect result, indicating a potential issue with their normal vector and surface area element. They explore the relationship between the normal vector and the surface area element, confirming that the magnitudes cancel out in the context of Stokes' Theorem. Additionally, there is clarification needed regarding the correct formulation of the surface equation. The conversation emphasizes the importance of accurately defining the surface and its normal vector for proper evaluation.
Master1022
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Summary:: This question is about a Stokes' Theorem question that I saw on Khan Academy and I am trying to attempt to solve it a different way.

The problem is as follows:

Problem: Let \vec{F} = \begin{pmatrix} -y^2 \\ x \\ z^2 \end{pmatrix}. Evaluate \oint \vec F \cdot d \vec {r} over the path C in the CCW direction where C is given by the intersection between x^2 + y^2 = 1 and y + z = 2.

My attempt:
So I first started by noting Stokes' Theorem: \oint_C \vec F \cdot d \vec {r} = \iint_S (\nabla \times \vec F) \cdot d \vec S.

I thought to find the normal vector \hat n:
\hat n = \frac{\nabla (y + z - 2 = 0)}{||\nabla (y + z - 2 = 0)||} = \frac{1}{\sqrt{2}} \begin{pmatrix} 0 \\ 1 \\ 1 \end{pmatrix}

Then I went to find the curl of the surface:
\nabla \times \vec F = \begin{pmatrix} 0 \\ 0 \\ 1 + 2y \end{pmatrix}

and therefore: (\nabla \times \vec F) \cdot (\hat n dS) = \frac{1 + 2y}{\sqrt{2}} dS

Then I chose to evaluate the integral in polar coordinates: x = r\cos(\phi), y = r\sin(\phi), z = 2 - r\sin(\phi). I let dS = r dr d\phi and I used the limits r: 0 to 1 and 0 \leq \phi \leq 2\pi. However evaluating this gives me the answer \frac{\pi}{\sqrt{2}}, when the video shows that the answer is \pi. I realize that this must have to do with my evaluation of d \vec S, and is perhaps suggesting that I shouldn't normalised the normal vector.

Would anyone be able to help shed some insight on this for me? Thanks in advance.

[Moderator's note: Moved from a technical forum and thus no template.]
 
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Master1022 said:
I let dS=rdrdϕdS=rdrdϕ dS = r dr d\phi

In general, it is far easier to treat ##\hat n## and ##dS## together as
$$
d\vec S = \hat n \, dS = \left(\frac{\partial \vec x}{\partial s} \times \frac{\partial \vec x}{\partial t}\right) ds\, dt,
$$
where ##t## and ##s## represent any choice of coordinates on your surface.

Also, note that your plane is not parallel to the x-y-plane. Your assumed dS is only valid if it is.
 
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Orodruin said:
In general, it is far easier to treat ##\hat n## and ##dS## together as
$$
d\vec S = \hat n \, dS = \left(\frac{\partial \vec x}{\partial s} \times \frac{\partial \vec x}{\partial t}\right) ds\, dt,
$$
where ##t## and ##s## represent any choice of coordinates on your surface.

Also, note that your plane is not parallel to the x-y-plane. Your assumed dS is only valid if it is.

Thank you very much. I think I have skipped steps in just trying to reduce the problem to the x-y plane.

I just have one or two quick follow up questions based on that:

1) So should I have gone about that part of the working like: ?
\vec S = x \hat i + y \hat j + ( 1 - x - y ) \hat k
\frac{\partial \vec S}{\partial x} = \begin{pmatrix} 1 \\ 0 \\ -1 \end{pmatrix} , \frac{\partial \vec S}{\partial y} = \begin{pmatrix} 0 \\ 1 \\ -1 \end{pmatrix}
\hat n dS = \frac{\partial \vec S}{\partial x} \times \frac{\partial \vec S}{\partial y} = \begin{pmatrix} 1 \\ 1 \\ 1 \end{pmatrix} dx dy

So is this telling me that an 'elemental area' on the surface of the plane is \sqrt{3} times larger than the area dx dy in the x-y plane?

2) Do the magnitudes always cancel out for between \hat n and 'dS'? I ask this because I think it is still quicker (at least in this problem) to just get the \hat n as I did above, but I could just ignore the normalization constant, knowing that it will cancel out.

Many thanks for the help
 
Master1022 said:
2) Do the magnitudes always cancel out for between \hat n and 'dS'? I ask this because I think it is still quicker (at least in this problem) to just get the \hat n as I did above, but I could just ignore the normalization constant, knowing that it will cancel out.

Many thanks for the help
Yes, they always cancel out. If your surface is ##S: \vec R = \vec R(s,t)## then your unit normal vector will be $$\hat n = \pm \frac {\vec R_s \times \vec R_t}{|\vec R_s \times \vec R_t|}$$ and your element of surface area is ##dS = |\vec R_s \times \vec R_t|ds dt##. So when you calculate
##d\vec S = \pm \hat n dS## the ## |\vec R_s \times \vec R_t|## terms cancel out. The choice of the ##\pm## is taken so that ##\pm \vec R_s \times \vec R_t## agrees with the given orientation.
 
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LCKurtz said:
Yes, they always cancel out. If your surface is ##S: \vec R = \vec R(s,t)## then your normal vector will be $$\hat n = \pm \frac {\vec R_s \times \vec R_t}{|\vec R_s \times \vec R_t|}$$ and your element of surface area is ##dS = |\vec R_s \times \vec R_t|ds dt##. So when you calculate
##d\vec S = \pm \hat n dS## the ## |\vec R_s \times \vec R_t|## terms cancel out. The choice of the ##\pm## is taken so that ##\pm \vec R_s \times \vec R_t## agrees with the given orientation.
Thank you very much for responding
 
Master1022 said:
1) So should I have gone about that part of the working like: ?

→S=x^i+y^j+(1−x−y)^k​
The z-component does not look correct to me. You want the surface given by ##z=2-y##.
 
Orodruin said:
The z-component does not look correct to me. You want the surface given by ##z=2-y##.

Yes, you are correct. I accidentally mixed up a similar question with this one when typing that. Then calculating \hat n dS does yield a 'non-normalised' version of the normal vector which I calculated above.

Thanks
 

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