Understanding Line Integrals with Respect to Delta X and Delta Y

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Discussion Overview

The discussion revolves around the understanding of line integrals with respect to different variables, specifically delta x and delta y, in the context of multivariable calculus and physics applications. Participants explore the conceptual differences between line integrals defined with respect to arc length (delta S) and those defined with respect to delta x and delta y, addressing both theoretical and practical implications.

Discussion Character

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

Main Points Raised

  • One participant expresses confusion about the meaning and application of line integrals with respect to delta x and delta y, noting that they yield different results compared to delta S.
  • Another participant suggests that understanding line integrals can be approached from a Riemann sum perspective, where the differential element corresponds to the variable of integration.
  • A participant explains that when integrating a function f(x, y) along a path, it may be necessary to express the integral in terms of x or y, leading to different formulations involving the arc length differential ds.
  • Some participants discuss the importance of the path's representation, whether in parametric or polar coordinates, and how this affects the line integral's formulation.
  • There is a mention of the work done by a force field as an example of line integrals in physics, emphasizing the use of different variables in the integral formulation.
  • A participant raises a question about whether integrating with respect to different variables (dx, dy, or ds) should yield the same result, leading to further discussion about the conditions under which this holds true.
  • Another participant points out that the results of integrals can differ based on the variable of integration and the limits applied, illustrating this with a specific example involving a parabola.

Areas of Agreement / Disagreement

Participants do not reach a consensus on the implications of using different variables for line integrals, as there are competing views on the interpretation and application of these integrals. Some express clarity on the topic, while others remain uncertain about the conditions under which different results may arise.

Contextual Notes

Limitations in understanding arise from the dependence on the specific path chosen for integration and the representation of functions in terms of different variables. The discussion highlights the complexity of mapping functions along paths and the potential for varying results based on the chosen variable of integration.

Who May Find This Useful

Students and practitioners in multivariable calculus, physics, and engineering may find this discussion relevant as it addresses common confusions regarding line integrals and their applications in various contexts.

  • #61
Thanks Krab, is there any error in post #57 where I discussed green's theorem? As for the applications, is it merely a tool for simplifying line integrals. Or is there other applications?
 
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  • #62
Yet another question I am afraid. I am reading one part of my book and it discusses Vector Forms of Green's Theorem. It shows the curl F dot k is equivalent to greens theorem. Thats fine, but then it has a formula of greens theorem in terms of the normal and divergence. Normally, Greens theorem deals with F dot T, the unit tangent, so it represents the component of force along the directon of moment at all points, and sums it up. But this second form of greens theorem implies that you compute the sum of all normal components and sum it along the curve. I have never seen this before, and don't know of any practical use.

Just a guess, if you want to find the amount of friction done along a path that veries, with varying frictional force values, just integrate, and multiply by the mass to get the total work done?? Not a very good guess though.

One final thing, the book states:

"T(t) = \frac{x'(t)}{|r'(t)|}i + \frac{y'(t)}{|r'(t)|}j

You can verify that the outward unit normal vector to C is given by

n(t)= \frac{y'(t)}{|r'(t)|}i + \frac{-x'(t)}{|r'(t)|}j
"

The dot product is indeed zero, so it is normal. How did they know to put the negative sign in the j component and not the i component? Also, how do they know that placing the negative sign here, apposed to the i component produces an OUTWARD unit normal as opposed to an inward unit normal?
 
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  • #63
.

One final thing, the book states:

"T(t) = \frac{x'(t)}{|r'(t)|}i + \frac{y'(t)}{|r'(t)|}j

You can verify that the outward unit normal vector to C is given by

n(t)= \frac{y'(t)}{|r'(t)|}i + \frac{-x'(t)}{|r'(t)|}j
"

The dot product is indeed zero, so it is normal. How did they know to put the negative sign in the j component and not the i component? Also, how do they know that placing the negative sign here, apposed to the i component produces an OUTWARD unit normal as opposed to an inward unit normal?[/QUOTE]
**********************************************

All you need to do is draw a picture.
Regards,
Reilly Atkinson
 
  • #64
Im sorry but I don't see what you mean. x'(t) and y'(t) could assume positive or negative values, so how could I draw a picture?

Ah yes, I see what you mean clearly now. The thing to remember is that the tangent vector is alway along the directon so that the curve lies to its left. (positively oriented.) This means that it can never have a negative in the i term, it can only be in the j term.

I still don't understand greens theorem for the normal component. I understand math wise, you sum the normal at all points along the curve, but in physics what does this mean!? :-p
 
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  • #65
Another thing I noticed was that in my physics book they use the notation \oint when writting Gauss law. But isint that symbol for the integral along a closed curve. In my math book, they use a double integral to represent the flux. How come the physics book does not have a double integral over the region? Which representation would be correct?

P.S. If you could explain an application for green's theorem for the normal component, I would appreciate it.
 
  • #66
cyrusabdollahi said:
Oh yeah, and one other thing. I would assume that Greens theorem is only good for R^2? The reason being that it only involves vector fields that have an x,y component. What are some applications for this theorem? My first guess, seeing a line integral around a closed loop would be faradays law. But with faradays law, don't we have to associate a "sheet" when we do the integral, (that trick maxwell played when the problem with flux for a capacitor arose and test charge buisness). I don't see any sheet in Greens theorem except maybe for the one on the planar region.

Yes, Greens theorem is stated explicitly for the plane. C has to be a plane curve and D is thus a planar region.

However, I`m sure you'll get to Stokes theorem soon enough. It can be regarded as a higher dimensional version of Green's theorem. In three dimensions, you have many ways of choosing your 'sheet'. In contrast, in two dimensions D is uniquely defined by the curve C.

Are you using Stewart's 'Calculus. Concepts and contexts'? Your quotations from the book sound awfully familiar. :biggrin:

How come they define the differential operator with the i,j,k on the left hand side of the partial derivative fraction? Then they do the gradient of f, and they seem to move all the i,j,k's from the left side to the right side? Also, the book also uses the differnetail operator with i,j,k on the right side. Whats going on with this inconsistancy? Is it just carelessness?
Actually, it's carefulness.
It doesn't matter where you put the unit vectors i,j and k right?
However the notation:

\nabla = \frac{\partial}{\partial x}\vec i+\frac{\partial}{\partial y}\vec j+\frac{\partial}{\partial z}\vec k

may lead to confusion and to thinking a big error; namely that you'd have to take \frac{\partial \vec i}{\partial x} and such.
In \nabla f this confusion doesn't arrive, so they write it back on the right side again, since that is standard.

Another thing I noticed was that in my physics book they use the notation when writting Gauss law. But isint that symbol for the integral along a closed curve. In my math book, they use a double integral to represent the flux. How come the physics book does not have a double integral over the region? Which representation would be correct?

I've seen that being used for both closed loops and closed surfaces.
It's just that physicists are generally too lazy to write three integral signs for a volume integral and two integrals signs for a surface integral. :zzz:
No confusion will arise if you know what you're dealing with.

P.S. If you could explain an application for green's theorem for the normal component, I would appreciate it.
I've never seen a physical application. But it's useful for proving some identities like:

\int \limits_D \!\!\! \int f \nabla^2 g \, dA=\oint_C f(\nabla g)\cdot \vec n \, ds-\int \limits_D \!\!\! \int \nabla f \, \cdot \, \nabla g \, dA
This is Green's first identity.
 
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  • #67
Yes, it is stewart. ;-) However, he pretty much ripped off Swokowski's book Calclus with analytic geometry, because they are nearly identical in text and content. I thought that the greens theorem for a line integral could mean the flux through that line integral. But I don't know of any application of flux through a line. Faraday has to do with the flux through the region contained within the line, not the actual line itself.
 
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  • #68
Greens theorem is used in the Sommerfeld Theory of scattering by an aperature in physicsl optics. In this case g is usually a spherical wave of the form \frac{e^{\pm i\vec{k}\cdot\vec{r}}}{r}
 
  • #69
I gota question on surface integrals. When the book approximates the area of a small patch, it uses the tangent vectors at the edge of the patch. Then it computes the area by using the cross product of these two tangent vectors. It has the parallelogram labeled with each side as \Delta u r^*_u and \Delta v r^*_v. How come they don't use UNIT tangent vectors? If we use a lot of very small patches, then a tangent vector at the edge of each patch may be huge, and when you cross them, you could get a rediculously big area of the parallelogram that approximates the area.
 

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