Maximizing Flux: Finding the Optimal Surface for Vector Field F in R^3

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Homework Help Overview

The problem involves determining the closed, oriented surface in R^3 through which a given vector field F has the greatest flux. The vector field is defined as F = <(4x + 2zx^3), -y(x^2 + z^2), -(3x^2z^2 + 4y^2z)>, and the discussion revolves around applying the concept of flux and potentially using Gauss's theorem.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • Participants discuss the use of the gradient and divergence to find critical points for maximizing flux. There are attempts to integrate the divergence and explore the implications of squared terms in the divergence expression. Questions arise about the limits of integration and the conditions under which the flux might be maximized.

Discussion Status

There is an ongoing exploration of different approaches to maximize the flux, including suggestions to convert to spherical or cylindrical coordinates. Participants are questioning assumptions about the behavior of the divergence and its implications for the surface area. Some guidance has been offered regarding the use of coordinate transformations, but no consensus has been reached on a definitive method or solution.

Contextual Notes

Participants note the complexity of integrating the divergence and the potential for different interpretations of the limits of integration. The discussion reflects a learning process with various attempts to clarify the mathematical reasoning behind maximizing the flux through the surface.

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Homework Statement


Through what closed, oriented surface in R^3 does the vector field F = <(4x + 2zx^3), -y(x^2 + z^2), -(3x^2z^2 + 4y^2z)> have the greatest flux?


Homework Equations


Flux = double int F.ds
Gauss theorem perhaps (double int F.ds = triple int(DivF)dV)

The Attempt at a Solution


So I figured that since they want max flux, go with the gradient and set it equal to zero (if rate of change is 0, must be at a critical point). So Flux = double int F.ds, and taking the gradient we have grad(Flux) = 0. I thought Gauss might make it easier, so plugging in Gauss:
grad(Flux) = grad(triple int(DivF)dV)= 0.
Take the divergence of F and we get (after simplifying): divF = 4-4y^2 - x^2 -z^2. So now we have have:
grad(triple int(4-4y^2 - x^2 -z^2)dV)= 0

Now I'm stuck though, because I'm not sure how to integrate this since that's the whole point of the question. Is there a way to bring the gradient inside or something?
Thanks in advance
 
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Hi AriAstronomer! :smile:

(have a grad: ∇ and an integral: ∫ and try using the X2 tag just above the Reply box :wink:)
AriAstronomer said:
divF = 4-4y^2 - x^2 -z^2. So now we have have:
grad(triple int(4-4y^2 - x^2 -z^2)dV)= 0

Now I'm stuck though, because I'm not sure how to integrate this since that's the whole point of the question …

Nooo … not integrating it is the whole point of the question! :biggrin:

You need to maximise ∫∫∫ (4-4y2 - x2 -z2) dx dy dz ¬

think … when will enlarging the boundary increase the integral? :smile:
 
Hmm, well by the looks of things, since we have 4 -4y² -x² - z² (i.e. squared terms), it looks like any value of x,y,z is going make this integral decrease. So I guess the only solution is if x=y=z=0, i.e. if the surface was actually just a point at (0,0,0)? Can someone validate this if I'm right?
 
Hi AriAstronomer! :smile:

(just got up :zzz: …)
AriAstronomer said:
Hmm, well by the looks of things, since we have 4 -4y² -x² - z² (i.e. squared terms), it looks like any value of x,y,z is going make this integral decrease. So I guess the only solution is if x=y=z=0 …

oh come on :rolleyes:

what about, for example, (1,0,-1)? :wink:
 
I don't really follow. Do you mean if I set the limits (1,0,-1), or plug in values x=1, y=0, z=-1. If limits, you'll get 0 since y will be integrated from 0 to 0. If plugging in values, I get ∫∫∫ (2) dx dy dz, but I don't see how that will yield you a greater value than if you plugged in (0,0,0) and got ∫∫∫ (4) dx dy dz.

However, thinking about this a bit more: we are trying to maximize flux, and flux is rate of flow through a surface. Flux seems to decrease as a function of distance (e.g. Electric flux through a surface from a point charge). Flux will increase if your surface encloses more sources of flow though (e.g. more point charges). We took the divergence which finds sources/sinks, and get 4 -4y² -x² - z². Should I then try and find the limits which make 4 -4y² -x² - z² >= 0? All positive values represent positive flux, and I suppose it isn't until 4 -4y² -x² - z²< 0 that flow lines try to find their way back into the volume, and start decreasing the integral. Maybe I'm on a comlpete tangent here though...

Thus the limits would be y:0->1, x=z:0->2. I've tried a few other limits (x=y=z:0->1 and y:0->1, x:0->2, z:0->3) and get less values, so I think this might be right...what do you think?
 
Last edited:
Wait, since these are all squared terms, can't forget about negatives, so I guess the limits would be y:-1-->1, x=z:-2-->2
 
AriAstronomer said:
Should I then try and find the limits which make 4 -4y² -x² - z² >= 0?

Yes! :smile:
We took the divergence which finds sources/sinks … …

All positive values represent positive flux, and I suppose it isn't until 4 -4y² -x² - z²< 0 that flow lines try to find their way back into the volume, and start decreasing the integral.

Well that's the correct result, but your reasons are weird …

the reason is simply that divF = 4 -4y² -x² - z², so the region for which ∫∫∫ divF is largest is the region for which 4 -4y² -x² - z² > 0
Thus the limits would be y:0->1, x=z:0->2. I've tried a few other limits (x=y=z:0->1 and y:0->1, x:0->2, z:0->3) and get less values, so I think this might be right...what do you think?

No, it won't be simple limits like that. It might be easier to change to spherical or cylindrical coordinates.
 
OK. I converted to spherical co-ordinates and got:
4-4r²sin²θsin²φ - r²sin²θcos²φ - r²cos²θ >= 0. Assuming no algebra mistakes, I'm left with:
4>= r²(3sin²θsin²φ - 1)
Now the max values of sin²θsin²φ range from 0-1, so for r² the possible equations are:
sin²θsin²φ = 1
4 >= 2r²
r <= +/-root(2) so I guess r is between +/- root(2).

But if sin²θsin²φ = 0, get:
4>=-r², which is always true regardless of r...kind of confused there.
Also although I know that 0<=sin²θsin²φ<=1, can I just assume the usual limits (0<θ< Pi, 0<φ<2Pi)? I feel like not...Or, with cylindrical, i get:
4>= z² + s²(3sin²φ -1)

Doing the same thing (sin²φ between 0,1), sin²φ = 1:
4>= z² + 2s². If we let z be a minimum = 0, then s = +/- root(2)
If we let s be a minimum = 0 , then z = +/- 2

But if we let sin²φ = 0, we get that same problem:
4+s² = z² --> Any values can be used to make this true.

I feel like I'm getting close, but still need a bit of a hint..
Thanks for all the reply's tiny-tim.
 
Hi AriAstronomer! :smile:

That's all a bit complicated. :redface:

It would be easier to use y as your "up" direction, not z …

then 4 -4y² -x² - z² = 4 -3y² -x² -y² - z² = 4 - 3y²- r² = 4 - 3r²cos²θ - r² …

carry on from there :smile:

(alternatively, 4 -4y² -x² - z² = 0 is obviously an ellipsoid, and you can easily see where it crosses the axes!)

(actually, why bother? :rolleyes: … the question only asked you for the surface, not the actual value :wink:)
 
  • #10
I get it now, thanks a lot for all the help!
 

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