What Is the Geometric Meaning of Stokes' Theorem?

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Discussion Overview

The discussion centers around the geometric meaning of Stokes' Theorem, exploring its implications and interpretations within the context of vector calculus. Participants are attempting to clarify the theorem's relationship to concepts such as curl and line integrals, and how these relate to surface integrals.

Discussion Character

  • Exploratory
  • Technical explanation
  • Mathematical reasoning
  • Debate/contested

Main Points Raised

  • One participant seeks clarification on the geometric interpretation of Stokes' Theorem, referencing its relationship to curl and line integrals.
  • Another participant provides a detailed mathematical derivation of Stokes' Theorem using a small box in the x-y plane, discussing how the line integral can be expressed in terms of partial derivatives.
  • A later reply questions the intermediary steps in the derivation, asking for further explanation of the mathematical transitions made.
  • Another participant acknowledges the reference text, Griffiths, as a good resource for understanding the theorem.
  • Further clarification is provided on the summation of line elements and their relation to partial derivatives, emphasizing the need for careful treatment of multiple variables.

Areas of Agreement / Disagreement

Participants are engaged in a detailed exploration of Stokes' Theorem, with some agreement on the mathematical framework being discussed. However, there are unresolved questions regarding specific steps in the derivation, indicating that not all participants are aligned on the interpretation or understanding of these steps.

Contextual Notes

The discussion includes assumptions about the behavior of vector fields and the application of partial derivatives, which may not be universally accepted or fully resolved within the conversation.

brianparks
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Would anyone be willing to explain Stokes' Theorem to me?

I have managed to grasp the concepts of grad, div, curl, and what the text calls "green's theorem", but I cannot seem to grasp the geometric meaning of "stokes theorem." I've been trying to put the theorem together based on the following explanations from my electrodynamics text:

[tex]\int_{S}(\nabla\times\nu)\cdot da = \oint_{p}v\cdot dl[/tex]

"As always, the integral of a derivative (here, a curl) over a region (here, a patch of surface) is equal to the value of the function at the boundary (here, the perimeter of the patch). As in the case of green's theorem, the boundary term is itself an integral--specifically, a closed line integral."

"Geometrical interpretation: Recall that the curl measures the "twist" of the vectors v; a region of high curl is a whirlpool--if you put a tiny paddlewheel there, it will rotate. Now, the integral of the curl over some surface (or, more precisely, the flux of the curl through the surface) represents the "total amount of swirl", and we can determine that swirl just as well by going around the edge and finding how much the flow is following the boundary. You may find this a rather forced interpretation of Stokes' theorem, but it's a helpful mnemonic, if nothing else."


Thanks for any help,
--Brian
 
Last edited:
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Well, let's look at the line integral of a small box in the x-y plane

[tex] \longleftarrow[/tex]
[tex] \downarrow \hspace{.24 in} \uparrow[/tex]
[tex] \longrightarrow[/tex]

Let the coordinates of the center of the box be (x,y). Let the lower left corner be at (x-dx/2,y-dy/2), the upper right corner be at (x+dx/2,y+dy/2).

Let [tex]\vec{v} = [v_x,v_y,v_z][/tex]. Then we can write the line integral [tex]\oint_{p}v\cdot dl[/tex] as follows, by approximating the vector function as the value at it's midpoint on each side.

bottom line element: vx(x,y-dy/2) * dx
top line element: -vx(x,y+dy/2) * dx

left line element: -vy(x-dx/2,y) * dy
right line element: vy(x+dx/2,y) * dy

We can re-write this as

[tex]-\frac{\partial v_x}{\partial y} dx dy + \frac{\partial v_y}{\partial x} dx dy[/tex]

But [tex]\frac{\partial v_y}{\partial x} - \frac{\partial v_x}{\partial y}[/tex] is just the z component of the cross product [tex]\nabla \times \vec{v}[/tex].

So we've established that the line integral over a small box is the surface integral over a small box.

So we can replace the surface integral [tex]\int_{S}(\nabla\times\nu)\cdot da[/tex] by the sum of the line integrals over all the boxes in the surface.

_______________
|_|_|_|_|_|_|_|_|
|_|_|_|_|_|_|_|_|
|_|_|_|_|_|_|_|_|
|_|_|_|_|_|_|_|_|
|_|_|_|_|_|_|_|_|
|_|_|_|_|_|_|_|_|
|_|_|_|_|_|_|_|_|

Now if you draw little arrows inside ach box, you'll see that most arrows occur once in each direction. Only the arrows around the outermost boundary don't cancel out. Thus the sum of the line integrals is the line integral around the whole box.

Which is the result we wanted to prove.

Note: actually, we've only shown Stokes theorem for the special case where we draw the surface on the x-y plane. The result generalizes, however, if you like you can do the same procedure for the xz and yz planes, I am not going to do that personally, though.
 
Last edited:
Pervect,

Thanks for your reply.

pervect said:
Well, let's look at the line integral of a small box in the x-y plane

[tex] \longleftarrow[/tex]
[tex] \downarrow \hspace{.24 in} \uparrow[/tex]
[tex] \longrightarrow[/tex]

Let the coordinates of the center of the box be (x,y). Let the lower left corner be at (x-dx/2,y-dy/2), the upper right corner be at (x+dx/2,y+dy/2).

Let [tex]\vec{v} = [v_x,v_y,v_z][/tex]. Then we can write the line integral [tex]\oint_{p}v\cdot dl[/tex] as follows, by approximating the vector function as the value at it's midpoint on each side.

bottom line element: vx(x,y-dy/2) * dx
top line element: -vx(x,y+dy/2) * dx

left line element: -vy(x-dx/2,y) * dy
right line element: vy(x+dx/2,y) * dy

We can re-write this as

[tex]-\frac{\partial v_x}{\partial y} dx dy + \frac{\partial v_y}{\partial x} dx dy[/tex]

**** I am good until immediately above, where you rewrite the line integral. ****

Can you explain the intermediary steps? Thanks again.
 
Griffiths eh? It's a good book.
 
OK, consider the the sum of the top and bottom elements

vx(x,y-dy/2) * dx - vx(x,y+dy/2) * dx

We can re-write this sum as

-(vx(x,y+dy/2)-vx(x,y-dy/2))*dx

We can re-write this as
[tex] -(\frac{\partial v_x(x,y)}{\partial y} dy) dx[/tex]

The justification for this is similar for saying that in the limt as dx->0

[tex]f(x+dx)-f(x) = f(x+dx/2)-f(x-dx/2) = \frac{df}{dx} dx[/tex]

but in the more comlicated case above we need to use partial derivatives because we have more than one variable.

We can re-write the sum of the left and right elements similarly.
 

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