Solving Vector Field with Poincare's Lemma

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Poincare's Lemma states that if a vector field is irrotational in a simply connected domain, it is also conservative, implying the existence of a potential function. The discussion confirms that the domain V is simply connected despite U having a hole, allowing for the application of the lemma. The participants explore how to express the potential function in polar coordinates and discuss the appropriate angular coordinates for different segments. They clarify that r represents a distance from the origin, not an angle, and emphasize the need to understand polar coordinates better. The conversation concludes with questions about extending the potential function to negative x-values and the implications for continuity.
Ted123
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Homework Statement



[PLAIN]http://img130.imageshack.us/img130/8540/vecx.jpg

The Attempt at a Solution



I've done (i).

First of all Poincare's Lemma says that if the domain U of {\bf F} is simply connected then:

{\bf F} is irrotational \iff {\bf F} is conservative.

So for (ii)(a), does V being simply connected (is it or not?) mean Poincare's Lemma implies there is a potential function for \bf F (since it would mean \bf F is conservative and hence is a gradient)
DESPITE U not being simply connected - it has a hole in the middle at (0,0)?
 
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Yes. V is, in fact, simply connected, and the restriction of \nabla\times\mathbf{F} to V is still zero. (The simplest way to prove that V is simply connected is to see that it's star-shaped with respect to any point on the positive x-axis.)
 
ystael said:
Yes. V is, in fact, simply connected, and the restriction of \nabla\times\mathbf{F} to V is still zero. (The simplest way to prove that V is simply connected is to see that it's star-shaped with respect to any point on the positive x-axis.)

So for (ii)(b), how do I find \phi in S_1 ?

Presumably then I can solve the simultaneous equations x=r\cos\,\phi and y=r\sin\,\phi in terms of x and y (e.g. using \tan^{-1}) and then verify by explicit differentiation that \nabla \phi (x,y) = \mathbf{F} (x,y) . And then do S_2 and S_3 in a similar way.
 
(r, \phi) are just polar coordinates with a particular choice of range for the angular coordinate; what does that tell you the angular coordinate should be on the positive x-axis?
 
ystael said:
(r, \phi) are just polar coordinates with a particular choice of range for the angular coordinate; what does that tell you the angular coordinate should be on the positive x-axis?

Well for S_1 the angle would be 0 but what is the range of r, is it \pi ?

For S_2 the angle is \frac{\pi}{2} but again what is r, again is it \pi ?

For S_3 the angle is \frac{3\pi}{2}, is r, -\pi ?

So are the angular coordinates of S_1, S_2,S_3, (\pi, 0), (\pi, \pi/2), (-\pi,3\pi/2) respectively?
 
Ted123 said:
Well for S_1 the angle would be 0 but what is the range of r, is it \pi ?

For S_2 the angle is \frac{\pi}{2} but again what is r, again is it \pi ?

For S_3 the angle is \frac{3\pi}{2}, is r, -\pi ?

So are the angular coordinates of S_1, S_2,S_3, (\pi, 0), (\pi, \pi/2), (-\pi,3\pi/2) respectively?

\frac{y}{x} = \tan(\phi)

so \phi (x,y) = \tan^{-1} \left(\frac{y}{x}\right)

and \nabla \phi(x,y) = \mathbf{F}

But how do I find \phi in S_2 and S_3? x can be 0 in both of these.
 
Sounds like you need to go back to a trigonometry text and review how polar coordinates work. r is not an angular coordinate; it's a distance (from the origin). And if x = 0, then you already know what the value of \phi should be, depending on whether y > 0 or y < 0.
 
ystael said:
Sounds like you need to go back to a trigonometry text and review how polar coordinates work. r is not an angular coordinate; it's a distance (from the origin). And if x = 0, then you already know what the value of \phi should be, depending on whether y > 0 or y < 0.

I know r is a distance but I thought seen as \phi\in(-\pi, \pi) that that distance would be those values.
 
Ted123 said:
I know r is a distance but I thought seen as \phi\in(-\pi, \pi) that that distance would be those values.

Can anyone see how I do the last part of (ii)(c)? Why can't \phi be extended to x<0 ?
 
  • #10
Let \varepsilon be small. What is \phi close to at (-1, \varepsilon)? What is \phi close to at (-1, -\varepsilon)? How does this make it difficult to find a value for \phi at (-1, 0)?
 
  • #11
Ted123 said:
I know r is a distance but I thought seen as \phi\in(-\pi, \pi) that that distance would be those values.

\displaystyle \oint = 0 \neq 2\pi
 
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