Stokes' Theorem Example Question

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Homework Help Overview

This question involves Stokes' Theorem, specifically evaluating a line integral over a path defined by the intersection of a cylinder and a plane. The original poster attempts to solve the problem using Stokes' Theorem and expresses confusion regarding their evaluation of the surface integral.

Discussion Character

  • Exploratory, Assumption checking, Conceptual clarification

Approaches and Questions Raised

  • Participants discuss the evaluation of the normal vector and the surface area element, questioning the validity of the assumptions made regarding the orientation and normalization of the normal vector. There is also exploration of the relationship between the normal vector and the surface area element.

Discussion Status

Participants are actively engaging with the problem, offering insights into the treatment of the normal vector and surface area. Some participants suggest reconsidering the approach to the surface area element and clarify that the magnitudes of the normal vector and the surface area element cancel out in the context of Stokes' Theorem.

Contextual Notes

There is a noted confusion regarding the correct expression for the z-component of the surface, which may affect the evaluation of the integral. The original poster acknowledges a potential mix-up with a similar problem.

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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