Curl is a measure of the tendency of a vector field

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Homework Help Overview

The discussion revolves around the mathematical and physical interpretation of the curl of a vector field, specifically in the context of the gradient of a scalar function. Participants are exploring why the curl of the gradient is always zero, relating it to concepts such as conservative vector fields and Stokes' theorem.

Discussion Character

  • Conceptual clarification, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • Participants are attempting to understand the physical intuition behind the mathematical result that the curl of the gradient is zero. Questions about the implications of Stokes' theorem and conservative fields are raised, with some participants expressing a desire for a deeper physical interpretation.

Discussion Status

The discussion is ongoing, with various interpretations and attempts to clarify the concepts. Some participants provide mathematical insights, while others seek further intuitive explanations. There is no explicit consensus, but multiple lines of reasoning are being explored.

Contextual Notes

Participants mention the need for intuitive understanding alongside mathematical definitions, indicating a potential gap in the original poster's comprehension of the physical concepts involved.

zezima1
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[itex]\nabla[/itex][itex]\times[/itex]grad(f) is always the zero vector. Can anyone in terms of physical concepts make it intuitive for me, why that is so. I get that the curl is a measure of the tendency of a vector field to rotate or something like that, but couldn't really assemble an understanding just from that.
 
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do you know stokes theorem, which for any vector field g is something like
[tex] \int_A \nabla \times \textbf{g} \cdot \textbf{dA} <br /> = \oint_{\partial A} \textbf{g} \cdot \textbf{dr} [/tex]

it converts an integral over a surface into an inetgral over the boundary. no conside [itex]g = \nabla f[/itex], any closed path integral will be zero - why?
 


also worth understanding conservative vector fields here
 


Physically, I'm not sure, but isn't mathematically enough ?
grad(f) is [itex]\nabla[/itex]f so you take the vector product of a vector ([itex]\nabla[/itex]) with one // to itself ([itex]\nabla[/itex]f) so it will be 0 by definition of the vector product. (sorry if it does not help)

cheers..
 


i'm not especially sure on this, but looking at a drawing, i see that a vector field has rotation near a point x if that point is surrounded by closed loops. but then that means there isn't any directed gradient. conversely, if there is a direction for the gradient field, then there aren't any closed loops to measure rotation.
 


I know Stokes theorem, but that's just a mathematical theorem, which I by the end of the day then would want to understand intuitively. I do understand that a conservative field is a vector field, which is the gradient of a scalar field. It is then easily shown that the path integral between 2 points is independent of the road taken.
I just wanted the physical interpretation, and I haven't got it from those answers I'm afraid.
In other words: Further help needed! :)
 


The gradient 'sort of tells you how f is changing in a certain direction'
the curl, 'sort of tells you how much it changes in an orthogonal direction'
once you have limited the changes in the one direction of the grad, the variation that would go in the orthogonal direction of what is left (the curl of the grad) is, well, zero :)
 


well stokes theorem tells you the curl is similar to the path integral around a loop as you shrink the loop to zero length (orentated in a certain direction)

the gradient of a function is conservative, so the integral around any closed loop will be zero, and isf c is any point onteh closed loop, you can represent as follows
[tex] \int_A \nabla \times \nabla f \cdot \textbf{dA} <br /> = \oint_{\partial A} \nabla f \cdot \textbf{dr} = f(c)-f(c)=0[/tex]
 


To me this picture helps a lot to understand Stokes theorem

250px-Stokes.png


It just shows how if you want to find the circulation (RHS of stokes theorem) for the larger region, that's the same as adding up the contributions from the smaller rectangles because all the contributions from sides not on the boundary of the region cancel.

So to understand Stokes theorem you just need to understand why it would work for an infinitesimal rectangle. There I'm afraid you just need to write out the terms using a Taylor expansion and see that it works. Some things don't necessarily have a nice intuitive explanation.
 

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