What Is the Potential Function U for a Given Gradient?

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SUMMARY

The discussion centers on finding the potential function \( U \) given the gradient \( \nabla U = 2 r^4 \vec{r} \). The participants derive the expression for \( U \) by integrating the components of the gradient, leading to \( U = \frac{x^6}{3} + x^4 y^2 + x^4 z^2 + 2 x^2 y^2 z^2 + x^2 y^4 + x^2 z^4 + f(y,z) \), where \( f(y,z) \) is an arbitrary function of \( y \) and \( z \). The discussion emphasizes the importance of including \( f(y,z) \) to account for terms dependent on \( y \) and \( z \) when taking partial derivatives.

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  • #31
Amrator said:
So ##f(y,z) = y^4 z^2 + y^6 / 3 + y^2 z^4 + g(z)##?
And then do the same thing with z?
At this point, you may be able guess what g(z) is.

- and to quote fresh 42, "Don't forget the constant ..."
 
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  • #32
Amrator said:

Homework Statement


##\nabla U = 2 r^4 \vec r## Find U.
The method you follow will result in the potential function, but there is a simpler way when the gradient is given in terms of the position vector ##\vec r ##: ##\nabla U = 2 ((\vec r)^2)^2 \vec r##
You did not include among the "Relevant equations" how the gradient of a function is defined.
So the total differential of a function U is ## dU= \nabla (U) \cdot \vec{dr}##. (##\nabla (U)## is a vector.)
You get the change of U from point O (the origin) to point P if you integrate both sides between O and P.
##\Delta U = U(P)-U(O)=\int_O^P{\nabla U}\cdot \vec{dr}##. In this problem ##\nabla U = 2 r^4 \vec r##,
so you have the integral ##\int_O^P{2 r^4 \vec r \cdot \vec {dr}}##.
You can choose the integration path arbitrary, the integral will be the same. See figure: You can reach P from O along several paths, why not along the straight line connecting them. In this case, ##\vec r ## and ##\vec {dr} ## have the same direction, so ##\vec r \cdot \vec {dr}=r dr##, and the integral becomes ##\int_0^{r(P)}{2 r^4 r dr}##.
potfunc.jpg
 
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  • #33
Amrator said:

Homework Statement


##\nabla U = 2 r^4 \vec r## Find U.

The Attempt at a Solution


##\nabla U = 2 (x^2 + y^2 + z^2)^2 (x \hat i + y \hat j + z \hat j)##

I multiplied everything out,

##\nabla U = (2 x^4 + 4 x^2 y^2 + 4 x^2 z^2 + 4 y^2 z^2 + 2 y^4 + 2 z^4)x\hat i + (2 x^4 + 4 x^2 y^2 + 4 x^2 z^2 + 4 y^2 z^2 + 2 y^4 + 2 z^4)y\hat j + (2 x^4 + 4 x^2 y^2 + 4 x^2 z^2 + 4 y^2 z^2 + 2 y^4 + 2 z^4)z\hat k##
.

It was not necessary to expand the square.
You know that
##\frac{\partial U}{\partial x} = 2 x(x^2 + y^2 + z^2 )^2##.
Integral it with respect to x. Notice that you can do u-substitution with u= x2+y2+z2. What do you get? Include the integration constant, which is a function of y and z: (f(yz).
So your integral with respect to x becomes ##\frac{(x^2+y^2+z^2)^3 }{3}+f(yz)##
Take the partial derivative of the above expression with respect y. It must be equal to ## 2 y(x^2 + y^2 + z^2 )^2##. So what is the partial derivative of f(x,y) with respect to y?
 
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  • #34
ehild said:
.

It was not necessary to expand the square.
You know that
##\frac{\partial U}{\partial x} = 2 x(x^2 + y^2 + z^2 )^2##.
Integral it with respect to x. Notice that you can do u-substitution with u= x2+y2+z2. What do you get? Include the integration constant, which is a function of y and z: (f(yz).
So your integral with respect to x becomes ##\frac{(x^2+y^2+z^2)^3 }{3}+f(yz)##
Take the partial derivative of the above expression with respect y. It must be equal to ## 2 y(x^2 + y^2 + z^2 )^2##. So what is the partial derivative of f(x,y) with respect to y?
f(x, y)? Don't you mean g(z)?
 
  • #35
Amrator said:
f(x, y)? Don't you mean g(z)?
A stupid error! I meant f(y,z) and then g(z).
 
  • #36
ehild said:
.

It was not necessary to expand the square.
You know that
##\frac{\partial U}{\partial x} = 2 x(x^2 + y^2 + z^2 )^2##.
Integral it with respect to x. Notice that you can do u-substitution with u= x2+y2+z2. What do you get? Include the integration constant, which is a function of y and z: (f(yz).
So your integral with respect to x becomes ##\frac{(x^2+y^2+z^2)^3 }{3}+f(yz)##
Take the partial derivative of the above expression with respect y. It must be equal to ## 2 y(x^2 + y^2 + z^2 )^2##. So what is the partial derivative of f(x,y) with respect to y?
I don't understand. How do you find f(y, z) using this method?
 
  • #37
Amrator said:
I don't understand. How do you find f(y, z) using this method?
What is your result for ## \displaystyle \ \frac{\partial f(y,z)}{\partial y} \ ## if you use ehild's method ?
 
  • #38
SammyS said:
What is your result for ## \displaystyle \ \frac{\partial f(y,z)}{\partial y} \ ## if you use ehild's method ?
##{\partial U} / {\partial y} = 2 y (x^2 + y^2 + z^2)^2 + {\partial f(y,z)} / {\partial y}##
Setting that equal to the ##\hat j## component will give you ##{\partial f(y,z)} / {\partial y} = 0##.
 
  • #39
Amrator said:
I don't understand. How do you find f(y, z) using this method?

You find ##f(y,z)## by first finding ##\partial f(y,z) /\partial y## and ##\partial f(y,z) /\partial z## . So, go ahead and do that: find these partial derivatives, using the method that has been explained to you many times already.
 
  • #40
Ray Vickson said:
You find ##f(y,z)## by first finding ##\partial f(y,z) /\partial y## and ##\partial f(y,z) /\partial z## . So, go ahead and do that: find these partial derivatives, using the method that has been explained to you many times already.
##\partial f(y,z) /\partial y = 0##
##\partial f(y,z) /\partial z = 0##
Yeah, that doesn't seem right to me.
 
  • #41
##\nabla U = 2 x (x^2 + y^2 + z^2)^2 \hat i + 2 y (x^2 + y^2 + z^2)^2 \hat j +2 z (x^2 + y^2 + z^2)^2 \hat k##
##U = \int \partial U /\partial x dx = (x^2 + y^2 + z^2)^3 / 3 + f(y,z)##
##\partial U /\partial y = 2 y (x^2 + y^2 + z^2)^2 + \partial f(y,z) /\partial y##
##2 y (x^2 + y^2 + z^2)^2 + \partial f(y,z) /\partial y = 2 y (x^2 + y^2 + z^2)^2##
##\partial f(y,z) /\partial y = 0##
 
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  • #42
Amrator said:
##\partial f(y,z) /\partial y = 0##
##\partial f(y,z) /\partial z = 0##
Yeah, that doesn't seem right to me.

Why not? It IS what you get!

So, assuming you believe your own work, what do those two formulas above tell you about ##f(y,z)##?
 
  • #43
Ray Vickson said:
Why not? It IS what you get!

So, assuming you believe your own work, what do those two formulas above tell you about ##f(y,z)##?
f(y, z) = g(z)?
 
  • #44
Amrator said:
f(y, z) = g(z)?
Are you just guessing?
 
  • #45
vela said:
Are you just guessing?
Well the integral of 0 is a constant of integration.
 
  • #46
Amrator said:
Well the integral of 0 is a constant of integration.
Yes. And what does it mean to be constant w.r.t. y and z?
 
  • #47
fresh_42 said:
Yes. And what does it mean to be constant w.r.t. y and z?
Oh right, f(y,z) = x since y and z have constant slopes.
 
  • #48
Amrator said:
Oh right, f(y,z) = x since y and z have constant slopes.
But f(y,z) isn't a function of x. How can this be?
 
  • #49
fresh_42 said:
But f(y,z) isn't a function of x. How can this be?
My mistake. f(y,z) = y + g(z).
Although, what about the z?
Yesterday, I had f(y,z) = ##y^4 z^2 + y^6 / 3 + y^2 z^4 + g(z)##.
 
  • #50
You already have had it. Just add up what you've said:
##f(y,z)## does not have ##x## as variable and it's dependency on ##y## is constant, as you have said. But the partial derivative w.r.t. ##z## is also zero. And you have said that means ## f ## does not change if ##z## does. So it has to be?
 
  • #51
Amrator said:
My mistake. f(y,z) = y + g(z).
Although, what about the z?
Yesterday, I had f(y,z) = ##y^4 z^2 + y^6 / 3 + y^2 z^4 + g(z)##.
That's been a different ##f##. In both cases ##f## is just a term within a calculation. 2 calculations, different terms within.
Imagine a polynomial, like ## a_{390567} z^{28768} y^{9808} + ... + a_{57657} z^2 + a_{764} y + 5##. The numbers are just to prevent you from calculating with it! Now, if you differentiate this w.r.t. ##y## and receive ##0## and then w.r.t ##z## and receive ##0## again? How does it look like?
 
  • #52
fresh_42 said:
That's been a different ##f##. In both cases ##f## is just a term within a calculation. 2 calculations, different terms within.
Imagine a polynomial, like ## a_{390567} z^{28768} y^{9808} + ... + a_{57657} z^2 + a_{764} y + 5##. The numbers are just to prevent you from calculating with it! Now, if you differentiate this w.r.t. ##y## and receive ##0## and then w.r.t ##z## and receive ##0## again? How does it look like?
Oh, then it's C.
 
  • #53
ευρηκα!
 
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  • #54
Therefore ##U = (x^2 + y^2 + z^2)^3 / 3 + C = r^3 / 3 + C##

Question: How would I write "integral of f(y,z) w.r.t. y and z = C" symbolically? What would the notation look like?
 
  • #55
Amrator said:
Therefore ##U = (x^2 + y^2 + z^2)^3 / 3 + C = r^3 / 3 + C##

Question: How would I write "integral of f(y,z) w.r.t. y and z = C" symbolically? What would the notation look like?
Firstly, if I remember the definition of ##r## right, then ##U(x,y,z) = U(r)= \frac{1}{3}r^6 +C##.
Secondly, ##f## itself is constant, not its integral. So I would write ##f(y,z) = C##. It is the direct consequence of the equations ##\frac{\partial }{\partial y} f(y,z) = 0## and ##\frac{\partial }{\partial z} f(y,z) = 0## holding both.

Thirdly, if you look up what Chestermiller said ##\frac{dU}{dr} = 2 r^5## you could have gotten the result immediately.
Nevertheless, it's been a good exercise. And to be honest, I've done the long way first as well.
 
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  • #56
fresh_42 said:
Firstly, if I remember the definition of ##r## right, then ##U(x,y,z) = U(r)= \frac{1}{3}r^6 +C##.
Secondly, ##f## itself is constant, not its integral. So I would write ##f(y,z) = C##. It is the direct consequence of the equations ##\frac{\partial }{\partial y} f(y,z) = 0## and ##\frac{\partial }{\partial z} f(y,z) = 0## holding both.

Thirdly, if you look up what Chestermiller said ##\frac{dU}{dr} = 2 r^5## you could have gotten the result immediately.
Nevertheless, it's been a good exercise. And to be honest, I've done the long way first as well.
Sorry, I meant to say the integral of PD of f.

By what Chestermiller said, you mean spherical coordinates? I'll go learn gradients using spherical coordinates right now then.
 
  • #57
Amrator said:
Sorry, I meant to say the integral of PD of f.
I don't know whether there is an elegant short notation. Basically it is the same as we did before:

##\frac{\partial}{\partial y}f(y,z) = 0 ⇒ f(y,z) = f(z) + C' ⇒ 0 = \frac{\partial}{\partial z}f(y,z) = \frac{\partial}{\partial z} (f(z) + C') = \frac{\partial}{\partial z} f(z) ⇒ f(y,z) = f(z) = f = constant = C##
 
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  • #58
Alright, thanks for the help everyone.
 
  • #59
Amrator said:
By what Chestermiller said, you mean spherical coordinates? I'll go learn gradients using spherical coordinates right now then.
In this case you should definitely look up ehild's first post (#32). The one with the figure. (S)he explained it very well. Mainly how ##r^4 \vec r## becomes ##r^5##.
 
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  • #60
Amrator said:
##{\partial U} / {\partial y} = 2 y (x^2 + y^2 + z^2)^2 + {\partial f(y,z)} / {\partial y}##
Setting that equal to the ##\hat j## component will give you ##{\partial f(y,z)} / {\partial y} = 0##.
Yes. That's correct !

This means ƒ(y,z) is not actually a function of y.
Amrator said:
##\partial f(y,z) /\partial y = 0##
##\partial f(y,z) /\partial z = 0##
Yeah, that doesn't seem right to me.
Also, it appears that you found a similar result regarding ƒ(y,z) not depending on z.

What does that leave you with?

ƒ(y,z) is just an ordinary constant, call it C.
 

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