Apostol's Calculus Vol. II Question on Gradients

  • Thread starter Thread starter process91
  • Start date Start date
  • Tags Tags
    Calculus
Click For Summary
SUMMARY

The discussion centers on a problem from Apostol's Calculus Vol. II regarding the gradient of a scalar field, specifically showing that if \(\nabla f(x,y,z)\) is parallel to \(x \hat i + y \hat j + z \hat k\), then \(f\) must take equal values at the points \((0,0,a)\) and \((0,0,-a)\). Participants explored various approaches, including path integrals and the implications of the scalar field \(h\). The consensus is that the proof hinges on the properties of the function \(h(t)\) and its evenness, although the exact intended proof direction remains unclear.

PREREQUISITES
  • Understanding of vector calculus, specifically gradients and their properties.
  • Familiarity with path integrals and their applications in multivariable calculus.
  • Knowledge of scalar fields and their representations in calculus.
  • Basic proficiency in calculus notation and operations, including integration.
NEXT STEPS
  • Study the properties of gradients in vector fields, focusing on \(\nabla f(x,y,z)\).
  • Learn about path integrals and their applications in physics and engineering contexts.
  • Investigate the implications of even and odd functions in calculus, particularly in relation to integrals.
  • Explore Apostol's Calculus Vol. II for deeper insights into multivariable calculus concepts.
USEFUL FOR

Students of calculus, particularly those studying multivariable calculus, mathematicians, and educators looking to deepen their understanding of gradients and path integrals.

process91
Messages
105
Reaction score
0

Homework Statement


If \nabla f(x,y,z) is always parallel to x \hat i + y \hat j + z \hat k, show that f must assume equal values at the points (0,0,a) and (0,0,-a).

The Attempt at a Solution


I tried a number of things - inspecting the values arrived at when computing the cross product of the gradient and the position vector, writing r(t)=(0,0,t) and then integrating \nabla f(r(t))\cdot r'(t) from -a to a, nothing is getting me anywhere. I also found this old thread: https://www.physicsforums.com/showthread.php?t=165790 but I don't see what Mathgician is getting at. In particular, f(0,0,a)-f(0,0,-a) is not necessarily equal to -2ak as the poster mentions toward the bottom.
 
Physics news on Phys.org
Look at the path integral of grad(f) along a circle connecting (0,0,a) and (0,0,-a).
 
If ##f_x = \lambda x,\ f_y=\lambda y,\ f_z=\lambda z## can't you derive what ##f(x,y,z)## must be by taking anti-partial derivatives?
 
Dick said:
Look at the path integral of grad(f) along a circle connecting (0,0,a) and (0,0,-a).

Unfortunately we have not covered path integrals yet. Thanks though!
 
LCKurtz said:
If ##f_x = \lambda x,\ f_y=\lambda y,\ f_z=\lambda z## can't you derive what ##f(x,y,z)## must be by taking anti-partial derivatives?

I have no reason to think that ##\nabla f(x,y,z)=\lambda(x,y,z)## - although I could solve this if I could assume that. The conditions, as far as I can tell, just say that for some scalar field ##h## we have that ##\nabla f(x,y,z) = [h(x,y,z)](x,y,z)##. In particular, I tried this approach: Let ##r(t)=(0,0,t)##. Then let ##g(t)=f[r(t)]##, so ##g'(t)=\nabla f [r(t)] \cdot r'(t)##. Now consider \int_{-a}^a \nabla f[r(t)]\cdot r'(t) dt. Now since the gradient is parallel to the position we have ##\nabla f (0,0,t) = (0,0,h(t) t)##, and since ##r'(t)=(0,0,1)## our integral is just \int_{-a}^a h(t) t dt. If ##h(t)## is even, the result follows. It may still be possible if ##h(t)## is not even, however note that ##h(t)## cannot be odd (which is an interesting result as well... I think anyway).

I doubt, however, that this was the intended direction for the proof to take... and since I can't prove that there's any other reason to think that ##h(t)## should be even, it's not conclusive. On the other hand, if someone comes up with a way to have ##\nabla f(x,y,z)= [h(x,y,z)](x,y,z)## where the function ##h## is odd with respect to ##z##, that would indicate that I have over-generalized the intended problem, and it probably is only intended to be ##\nabla f(x,y,z) = \lambda (x,y,z)##.
 
Last edited:
process91 said:
I have no reason to think that ##\nabla f(x,y,z)=\lambda(x,y,z)## - although I could solve this if I could assume that.

Oh, OK. I misunderstood the problem. I may have time to look at it some more tomorrow.
 
LCKurtz said:
Oh, OK. I misunderstood the problem. I may have time to look at it some more tomorrow.

Thanks!
 
process91 said:
I have no reason to think that ##\nabla f(x,y,z)=\lambda(x,y,z)## - although I could solve this if I could assume that. The conditions, as far as I can tell, just say that for some scalar field ##h## we have that ##\nabla f(x,y,z) = [h(x,y,z)](x,y,z)##. In particular, I tried this approach: Let ##r(t)=(0,0,t)##. Then let ##g(t)=f[r(t)]##, so ##g'(t)=\nabla f [r(t)] \cdot r'(t)##. Now consider \int_{-a}^a \nabla f[r(t)]\cdot r'(t) dt. Now since the gradient is parallel to the position we have ##\nabla f (0,0,t) = (0,0,h(t) t)##, and since ##r'(t)=(0,0,1)## our integral is just \int_{-a}^a h(t) t dt. If ##h(t)## is even, the result follows. It may still be possible if ##h(t)## is not even, however note that ##h(t)## cannot be odd (which is an interesting result as well... I think anyway).

I doubt, however, that this was the intended direction for the proof to take... and since I can't prove that there's any other reason to think that ##h(t)## should be even, it's not conclusive. On the other hand, if someone comes up with a way to have ##\nabla f(x,y,z)= [h(x,y,z)](x,y,z)## where the function ##h## is odd with respect to ##z##, that would indicate that I have over-generalized the intended problem, and it probably is only intended to be ##\nabla f(x,y,z) = \lambda (x,y,z)##.

That IS a path integral. Now try changing the path to say r(t)=(0,a*sin(t),a*cos(t)) for t in [0,pi].
 
Dick said:
That IS a path integral. Now try changing the path to say r(t)=(0,a*sin(t),a*cos(t)) for t in [0,pi].

Awesome - the book doesn't cover path integrals explicitly for two more chapters, good to know they aren't much different than what I already have covered. Thanks!
 

Similar threads

  • · Replies 9 ·
Replies
9
Views
2K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 8 ·
Replies
8
Views
2K
Replies
7
Views
2K
  • · Replies 1 ·
Replies
1
Views
2K
Replies
3
Views
2K
  • · Replies 8 ·
Replies
8
Views
2K
  • · Replies 6 ·
Replies
6
Views
2K
  • · Replies 20 ·
Replies
20
Views
2K
  • · Replies 6 ·
Replies
6
Views
3K