Divergence and Stoke's Theorems in 2D

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SUMMARY

The discussion centers on the relationship between Divergence and Stokes' Theorems in two dimensions, highlighting their mathematical equivalence through vector field manipulation. The key equations presented are the Divergence Theorem: \iint_A \left( \frac{ \partial F_{x}}{ \partial x } + \frac{ \partial F_{y}}{ \partial y } \right)\,dx\,dy = \oint_{C} F_y\,dx - F_x\,dy and Stokes' Theorem: \iint_A \left( \frac{ \partial F_{y}}{ \partial x} - \frac{ \partial F_{x}}{ \partial y} \right)\,dx\,dy = \oint_{C} F_x\,dx + F_y\,dy. The discussion emphasizes that by rotating the vector field 90 degrees, one theorem can be derived from the other, demonstrating their inherent symmetry and equivalence in 2D. The conversation also references Maxwell's historical contributions to these theorems.

PREREQUISITES
  • Understanding of vector calculus concepts, specifically Divergence and Curl.
  • Familiarity with Stokes' Theorem and Divergence Theorem in two dimensions.
  • Basic knowledge of differential geometry and integration over forms.
  • Experience with manipulating vector fields and understanding their geometric interpretations.
NEXT STEPS
  • Study the mathematical proof of Stokes' Theorem in detail, focusing on integration over forms.
  • Explore the relationship between vector fields and their tangential and normal components.
  • Investigate the historical context of Maxwell's work on these theorems and their implications in electromagnetism.
  • Practice deriving one theorem from the other through vector field rotation and manipulation.
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Mathematicians, physics students, and educators seeking a deeper understanding of vector calculus, particularly those interested in the applications of Divergence and Stokes' Theorems in two dimensions.

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Could I get a demonstration of why they are the same? I have the two equations which the two theorems reduce to in two dimensions, and it's pretty tantalizing because they are virtually the same, but differ in a nice symmetrical way. But I can't for the life of me show that they are the same (I take that to mean that they state the same fact). Thanks.
 
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Let's face it...it is in fact quite quite difficult to prove the Stoke's theorem in a non-ad-hoc way. I once saw a (non-rigorous) proof in a physics book on electromagnetism but it is messy.

The general "physical" proof starts by dividing the region of integration (for example, a subset U of R^2) into many small "rectangles". Then a relation between the "flux" (of a vector field F) out of each rectangle and div(F)*(volume of rectangle) is established. Then one sums over all rectangles to obtain the ad-hoc result.

The mathematical proof is neater, though it requires knowledge about integration over forms and some differential geometry. The fundamental result is \int_{\partial M} \omega = \int_{M} d\omega, where M is an oriented manifold and the result holds with some conditions on the form \omega. You may want to try this http://mathworld.wolfram.com/StokesTheorem.html.

Probably I'm messing things up for you...I think the best way to see why the theorems are true is to consult a good book, though it may require some heavy investment (i.e. time). Hope this helps.
 
Without fancy language showing how general Stokes thm is the simplest answer to your question is that cosine (0) = 1.

The angle whose cosine we need is that between the normal to the surface and the third coordinate. But these are identical in two dimensions for an orientable surface.
 
Is what i wrote clear or do you need me to write the equations?
 
Uhhh...I thought about your reply...are trying to explain why the surface integral of the curl is just a regular double integral over area in 2D? I got that bit. I have that:

\oint_{C} F_y\,dx - F_x\,dy = \iint_{A} \left( \frac{ \partial F_{x}}{ \partial x } + \frac{ \partial F_{y}}{ \partial y } \right)\,dx\,dy

which is the divergence theorem in 2D, and that:

\iint_A \left( \frac{ \partial F_{y}}{ \partial x} - \frac{ \partial F_{x}}{ \partial y} \right)\,dx\,dy = \oint_{C} F_x\,dx + F_y\,dy

which is Stoke's in 2D. Nice and symmetrical. But why the same? Thanks again for the replies.
 
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well, this is going to be a bit sloppy, but the point is that when you rotate a vector which is tangent to a path by 90 degrees you get a vector which is perpendicular to the path. One theorem is about the component of your vector field which is tangent to the path and the other one is about a vector field which is perpendicular to the path.

so all you have to do to get one theorem from the other is rotate the vector field 90 degrees.


One (of the two possible) rotation of (A,B) by 90 degrees is (B,-A), which accounts for why one theorem has (df/dx,df/dy) in it and the other has (df/dy, -df/dx) in it.

(At then end you will see I got a minus sign wrong so i chose the wrong rotation i guess.)


Anyway, if you have a theorem (greens or stokes) that says to compute the tangential component of (A,B) around a path, you just integrate the curl of Adx +Bdy, i.e.

(dB/dx - dA/dy) over the interior then if I want to calculate instead the normal component of (A,B) over the path, I just make a new vector field whose tangential component equals the other ones normal component.

I.e. the outward normal component of (A,B) is just (A,B) dotted with an outward pointing vector to the path, i.e. with (-dy/dt,dx/dt). [here's my mistake, this is an inward pointing vector but i will not bother to correct it.]



So I want to integrate (-Ady/dt + Bdx/dt). For that to be a tangential component, I use instead the vector field (B,-A). So the normal component of (A,B) integrated over the path, equals the tangential component of (B,-A) integrated over the path, which by greens thm equals the double integral of -dA/dx -dB/dy integrated over the interior, which seems to be the "convergence" of (A,B) rather than the divergence.

Well I fell prey to the hardest thing in mathematics, namely geting the signs right, but i think you can see these theorems are equivalent in 2 dimensions because we can rotate there.


(In fact the first person to publish these theorems, Maxwell, in his famous book on Electricity and Magnetism, used the opposite sign, as I did, and stated it in terms of "convergence". So at least I am in good company, although Maxwell meant to do this and i didn't. He got minus because instead of vectors he used quaternions, where minuses come in naturally when you square the basic quaternions i,j,k.)

Does this help explain the mystery?
 
Right, thank you. So Stokes in 2D on a field A is just the divergence, working with another field B such that the normal component of B is the tangential component of A.
 
that sounds right.
 

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