Understanding Stokes' Theorem and Gradient Functions

  • Context: Graduate 
  • Thread starter Thread starter 1MileCrash
  • Start date Start date
  • Tags Tags
    Calc 3
Click For Summary
SUMMARY

This discussion centers on the application of Stokes' Theorem in relation to closed loops and the evaluation of nested gradient functions in calculus. Participants debated whether a "closed loop" can cross its own boundary, affecting the applicability of Stokes' Theorem. The consensus leans towards defining a closed loop as a single, non-intersecting path. Additionally, the group analyzed nested functions such as grad(grad F) and div(curl F), concluding that grad(grad F) does not have a defined meaning in this context, while div(curl F) is always zero.

PREREQUISITES
  • Understanding of Stokes' Theorem
  • Familiarity with vector calculus concepts
  • Knowledge of gradient, divergence, and curl operations
  • Ability to evaluate nested functions in calculus
NEXT STEPS
  • Study the formal definition and applications of Stokes' Theorem
  • Learn about the properties of closed curves in vector fields
  • Research the implications of nested gradient and divergence functions
  • Explore examples of vector calculus problems involving grad, div, and curl
USEFUL FOR

Students of calculus, particularly those studying vector calculus, and educators seeking to clarify concepts related to Stokes' Theorem and nested functions.

1MileCrash
Messages
1,338
Reaction score
41
Just took calc 3 "semifinal"

And I have a few questions regarding concepts, which was sparked by a conversation with a few classmates after the test.

1st, a problem was given to us and we were asked if stokes or divergence applies. It was a line integral, so divergence did not apply.

It said that C is a "closed loop". Everything else was textbook stokes. So I wrote that stokes applied.

However, one of my classmates told me that a "closed loop" may cross its own boundary and thus doesn't enclose a single surface so stokes does not apply. I honestly did not think of that. What do you think? I think "closed loop" implies a loop, a single loop, that doesn't cross itself but I just go by how I define the word "loop." I have no mathematical reason.




The last part of our test was nested things like "grad(div F)" and we were simply to write if these were a vector, scalar, or neither (nonsensical.)

At the end, a question was asked "which of these is always zero?" I only had two of these nested functions as scalars, div(grad f) and div(curl F). Doing a bit of thinking, I figured the former came down to second derivatives, which isn't necessarily 0, so I picked div(curl F).

However, an engineering major told me that it was definitely grad(grad F) because the first grad gives you a perpendicular vector, so a vector perpendicular to that is parallel to the original (?).

I don't understand his logic at all. Gradient is del(scalar field) which is a vector field itself. Thus I put neither for grad(grad f) and didn't even consider it, because by our definitions the gradient of a vector doesn't make sense. That's not tackling his reasoning about the parallel => 0 thing..
 
Physics news on Phys.org
hi 1MileCrash! :smile:
1MileCrash said:
… However, one of my classmates told me that a "closed loop" may cross its own boundary and thus doesn't enclose a single surface so stokes does not apply. I honestly did not think of that. What do you think? I think "closed loop" implies a loop, a single loop, that doesn't cross itself but I just go by how I define the word "loop."

if your classmate defines a loop as the image of a function from a circle onto the space, then yes he's right …

but then "loop" would also have to include a completely squashed loop (every point repeated, except for two "ends"), and anything in between …

so i think your definition is the more sensible one :wink:
… "which of these is always zero?" I only had two of these nested functions as scalars, div(grad f) and div(curl F). Doing a bit of thinking, I figured the former came down to second derivatives, which isn't necessarily 0, so I picked div(curl F).

However, an engineering major told me that it was definitely grad(grad F) because the first grad gives you a perpendicular vector, so a vector perpendicular to that is parallel to the original (?).

I … didn't even consider it, because by our definitions the gradient of a vector doesn't make sense.

yes, no such thing as grad of a vector :wink:
 

Similar threads

  • · Replies 20 ·
Replies
20
Views
4K
  • · Replies 4 ·
Replies
4
Views
7K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 3 ·
Replies
3
Views
3K
  • · Replies 7 ·
Replies
7
Views
2K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 8 ·
Replies
8
Views
7K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 1 ·
Replies
1
Views
4K