How to Parametrize the Surface Enclosed by a Curve of Intersection?

In summary, Stokes theorem is a theorem about lines and surfaces which states that if z= f(x,y) then an obvious parameterization is \vec{r}= x\vec{i}+ y\vec{j}+ f(x,y)\vec{k}.
  • #1
kingwinner
1,270
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1) (a past exam question)
http://www.geocities.com/asdfasdf23135/advcal30.JPG

I am stuck with the parametrizations. For part b, to evaluate the resulting surface integral, I think I need to parametrize the surface. How can I parametrize the surface enclosed by the curve of intersection in part a?

Thank you!
 
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  • #2
Since in (b) they mention "Stokes Theorem", what is "Stokes Theorem"? That should help a lot in (a).

If z= f(x,y) then an obvious parameterization is [itex]\vec{r}= x\vec{i}+ y\vec{j}+ f(x,y)\vec{k}[/itex].
 
  • #3
I am OK with part a, but I just don't know how to parametrize the surface in part b, which is the surface enclosed by the curve of intersection of z=3-2x and z=x^2 + y^2
 
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  • #4
For b, the surface is part of the plane z=3-2x, so can be parametrized as g(u,v)=(u,v,3-2u) but what are the restrictions on u and v?
 
  • #5
I thought if you're using Stokes theorem you would have to evaluate it as a line integral? So shouldn't you parametrise closed path which bounds the surface instead of the surface itself?
 
  • #6
Yes, but I am talking about part b. Using Stoke's theorem TWO times convert it back to a surface integral over a different surface, and I am stuck with parametrizing that surface. Could someone help me, please?
 
  • #7
Oh, you're right. This time the surface is a flat plane. I misread, sorry.
 
  • #8
You can represent the equation x^2 + y^2 = 3 - 2x in the form of an ellipse. Then once you do that, you have the value of the semimajor axis with which you can find the limits of x, which corresponds to u in your parametrisation. v, which is y, can be expressed in terms of u, for its limits.
 
  • #9
Setting x^2 + y^2 = 3 - 2x, I get (x+1)^2 + y^2 = 4 a circle with centre (-1,0) and radius 2, not really an ellipse as you said...

The surface is part of the plane z=3-2x, so can be parametrized as g(x,y)=(x,y,3-2y), but what are the restrictions on x and y?
 
  • #10
Ok, well a circle is a special kind of ellipse. But anyway, you can express y in terms of x, and that gives you the limits of y, for the negative and positive values of y. For the limits of x, aren't they simply the max and minimum values of x constrained by the equation of the circle?
 
  • #11
But for parametrizations, should the limits be constants?
i.e. a<u<b, c<v<d
a<x<b, c<y<d
where a,b,c,d are constants

e.g. parametrization of unit circle: x=cost,y=sint, 0<t<2pi
 
  • #12
No, the limits do NOT have to be constants. For example, in the xy-plane, z= 0 so we can use x and y themselves as parameters but if our area were the triangle with vertices (0,0), (1,0) and (0, 1), we would have to say [itex]0\le x\le 1[/itex], [itex]0\le y\le 1-x[/itex], or, equivalently, [itex]0\le y\le 1[/itex], [itex]0\le x\le 1-y[/itex] just as we would for an integral. It is only rectangles, for rectangular coordinates and circles for polar coordinates that have constant limits on the parameters.

Here, the only constraint on your paraboloid is [itex]z\le 3- 2x[/itex]. Since z= x2+ y2, the boundary, in terms of x and y, is x2+ y2= 3- 2x. x2- 2x+ y2= 3, x2- 2x+ 1+ y2= 4, (x- 1)2+ y2= 4, a circle of radius 2 with center at (1, 0). You could do it as: [itex]-1\le x\le 3[/itex], [itex]-\sqrt{4- (x-1)^2}\le y\le \sqrt{4-(x-1)^2}[/itex].

The change of variable, u= x-1, v= y, will convert that into a circle with center at (0,0) in the uv-plane: [itex]-2\le u\le 2[/itex], [itex]-\sqrt{4- u^2}\le v\le \sqrt{4-u^2}[/itex].

And you could convert that to polar coordinates: taking [itex]u= r cos(\theta)[/itex], [itex]v= r sin(\theta)[/itex], [itex]0\le r\le 2[/itex], [itex]0\le \theta\le 2\pi[/itex] although then your integrand might be messy.
 
  • #13
You are performing a double integration with respect to x and y right? Not r,theta. The limits of the 'inner' integrand needn't be constants, they can be expressed in terms of the variable with which you are integrating the 'outer' integrand with respect to. But the limits of the 'outer' integrands should be constants because your final answer is a numerical value.

See for example:

http://www.math.oregonstate.edu/hom...usQuestStudyGuides/vcalc/surfint/surfint.html

EDIT: HallsofIvy beat me to it.
 
  • #14
Thanks for clarifying! Now I understand it!
 

1. What is the difference between a line integral and a surface integral?

A line integral is a type of integral that is calculated along a curve or a line, while a surface integral is calculated over a two-dimensional surface. In other words, a line integral involves integrating a one-dimensional function along a one-dimensional curve, while a surface integral involves integrating a two-dimensional function over a two-dimensional surface.

2. How is a line integral related to a vector field?

A line integral is often used to calculate the work done by a vector field along a given curve. This is because the value of the line integral is equal to the dot product of the vector field and the tangent vector of the curve at each point along the curve.

3. What is the significance of a closed line integral?

A closed line integral, also known as a path-independent integral, is one in which the value of the integral remains the same regardless of the path taken along the curve. This is significant because it allows for easier calculation of the integral, as the path does not need to be explicitly defined.

4. How are line and surface integrals used in physics?

In physics, line and surface integrals are used to calculate important physical quantities such as work, electric or magnetic flux, and fluid flow. They are also used in the study of vector fields, which are fundamental in many areas of physics such as electromagnetism and fluid mechanics.

5. Can line and surface integrals be extended to higher dimensions?

Yes, line and surface integrals can be extended to higher dimensions. In general, a line integral can be extended to n-dimensional space, while a surface integral can be extended to (n+1)-dimensional space. These higher-dimensional integrals are useful in fields such as differential geometry and topology.

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