Find surface of maximum flux given the vector field's potential

I am not sure what you mean with the limits of integration.I also do not follow your calculation. You seem to be integrating a polynomial in ##r## but the result is not a polynomial (also you seem to have dropped the 8π which is not important for the location of the maximum but important for the actual value of the integral).
  • #1
Addez123
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Homework Statement
A vector field has the potential
$$\Phi = x^2 + y^2 + z^2 - (x^2 + y^2 + z^2)^2$$
Find the surface where the flux is at maximum.
Relevant Equations
Gauss theorem
The vectorfield is
$$A = grad \Phi$$ $$A = x^2 + y^2 + z^2 - (x^4 + y^4 + z^4 + 2x^2y^2 + 2x^2z^2 + 2y^2z^2)$$
The surface with maximum flux is the same as the volume of maximum divergence, thus:
$$div A = 6 - 20(x^2 + y^2 + z^2)$$

This would suggest at the point 0,0,0 the flux is at maximum.

But the book says its the surface where
$$div grad \Phi > 0$$
aka:
$$x^2 + y^2 + z^2 < 3/10$$
 
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  • #2
Addez123 said:
Homework Statement:: A vectorfield has the potential
$$\Phi = x^2 + y^2 + z^2 - (x^2 + y^2 + z^2)^2$$
Find the surface where the flux is at maximum
Relevant Equations:: Gauss theorem

The vectorfield is
$$A = grad \Phi$$ $$A = x^2 + y^2 + z^2 - (x^4 + y^4 + z^4 + 2x^2y^2 + 2x^2z^2 + 2y^2z^2)$$

[itex]A = \nabla \Phi[/itex] is a vector. What are its components? Your expression appears to be a scalar.

The surface with maximum flux is the same as the volume of maximum divergence, thus:
$$div A = 6 - 20(x^2 + y^2 + z^2)$$

This would suggest at the point 0,0,0 the flux is at maximum.

But the book says its the surface where
$$div grad \Phi > 0$$
aka:
$$x^2 + y^2 + z^2 < 3/10$$

You're not choosing a point such that [itex]\nabla \cdot A[/itex] is maximal; you are choosing a volume [itex]V[/itex] such that [itex]\int_V \nabla \cdot A\,dV = \int_{\partial V} A \cdot dS[/itex] is maximal.

In this case, [itex]\nabla \cdot A[/itex] is positive for [itex]r < \frac{3}{10}[/itex]. Therefore you can increase the flux across a surface within this volume by increasing the volume within the surface. The largest you can make the volume is by having it consist of everything inside [itex]r < \frac{3}{10}[/itex].

Outside of this sphere [itex]\nabla \cdot A < 0[/itex], so including any portion of this region will reduce the flux.
 
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  • #3
Also note that you really don't need the divergence theorem for this. In spherical coordinates the scalar field is ##\Phi = r^2(1-r^2)## so that it is clear that everything has spherical symmetry and therefore so will the sought surface. Because of the radial symmetry ##\vec A = d\Phi/dr \vec e_r = (2r-4r^3) \vec e_r## and so the flux ##F## out of the sphere of radius ##r = R## is
$$
F = \oint_{r = R} (2R - 4R^3) R^2 d\Omega = 8\pi (R^3 - 2 R^5).
$$
This leads to
$$
\frac{dF}{dR} = 8\pi (3R^2 - 10 R^4) = 0
$$
for the extreme value and therefore ##R^2 = 3/10##. We obtain the maximal flux from this by insertion.

pasmith said:
The largest you can make the volume is by having it consist of everything inside [itex]r < \frac{3}{10}[/itex].
Nitpicking, but ##r^2 < 3/10##.
 
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  • #4
Very nice explained @Orodruin I just have one small problem.

$$F = \int A * n dS = \int r^2(1 - r^2) * ? dS$$
dS = r^2 (jacobian) dr dv du

But what's my normal vector?
 
  • #5
Addez123 said:
Very nice explained @Orodruin I just have one small problem.

$$F = \int A * n dS = \int r^2(1 - r^2) * ? dS$$
dS = r^2 (jacobian) dr dv du

But what's my normal vector?
There is no normal left at that (the last) step. The normal of a sphere is ##\vec e_r## and this has been dotted with the ##\vec e_r## from ##\vec A## for a result of 1.
 
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  • #6
Orodruin said:
F=∮r=R(2R−4R^3)R^2dΩ=8π(R^3−2R^5).
What is your limit of integrations on this?

Also I don't see how your integral is correct:
$$\int (2r-4r^3)*r^2 = \int 2r^3 - 4r^5 = | r^4/2 - 2/3*r^6$$
not ##R^3−2R^5##
 
  • #7
Addez123 said:
What is your limit of integrations on this?

Also I don't see how your integral is correct:
$$\int (2r-4r^3)*r^2 = \int 2r^3 - 4r^5 = | r^4/2 - 2/3*r^6$$
not ##R^3−2R^5##
The integral is over the unit sphere. In other words ##R## is constant.
 

FAQ: Find surface of maximum flux given the vector field's potential

What is the purpose of finding the surface of maximum flux in a vector field?

The surface of maximum flux in a vector field helps us understand the direction and magnitude of the flow of a substance or energy in a given space. This information is important in many scientific fields, such as fluid dynamics, electromagnetism, and thermodynamics.

How is the surface of maximum flux related to the vector field's potential?

The surface of maximum flux is directly related to the vector field's potential. The potential function of a vector field represents the rate of change of the field in a given direction. The surface of maximum flux is the surface where the potential function has the highest value, indicating the direction of maximum flow.

What are the steps involved in finding the surface of maximum flux in a vector field?

The first step is to determine the potential function of the vector field. Then, we find the gradient of the potential function, which gives us the direction of maximum change. Next, we set the gradient equal to zero and solve for the coordinates of the surface of maximum flux. Finally, we verify the result by checking if the surface satisfies the conditions for maximum flux.

Can the surface of maximum flux exist in all vector fields?

No, the surface of maximum flux does not exist in all vector fields. It only exists in conservative vector fields, where the curl of the field is equal to zero. In non-conservative vector fields, the surface of maximum flux may not exist or may not have a unique solution.

How is the surface of maximum flux used in practical applications?

The surface of maximum flux has various practical applications, such as determining the path of a fluid or electromagnetic field, optimizing the design of heat exchangers, and predicting the behavior of particles in a magnetic field. It is also used in computer simulations and modeling to understand and predict complex systems.

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