Use of curl of gradient of scalar

In summary, physicists use the curl of the gradient of a scalar function to help them analyze physical systems.
  • #1
Mike2
1,313
0
I'm wondering if physics ever uses a differential equation of the form of a curl of a gradient of a scalar function. Or is this too trivial?

Thanks.
 
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  • #2
The curl of the gradient of a scalar function is always zero. So, yeah, it's pretty trivial.

- Warren
 
  • #3
Originally posted by chroot
The curl of the gradient of a scalar function is always zero. So, yeah, it's pretty trivial.

- Warren

well yes, but then don't they use the fact that the Laplacian is zero?
 
  • #4
Originally posted by Mike2
well yes, but then don't they use the fact that the Laplacian is zero?
I think I see what you're asking. How about electrostatics? The electric field can be represented by a scalar potential field. Therefore, the curl of the gradient of this field is zero -- the electric field is curl-free.

- Warren
 
  • #5
Originally posted by Mike2
well yes, but then don't they use the fact that the Laplacian is zero?

Yes, but the Laplacian of an arbitrary function isn't automatically zero, so only certain functions (the harmonic ones) satisfy the condition that their Laplacian is zero. Every function satisfies the condition that the curl of its gradient equals zero, so that equation is not too useful on its own.
 
  • #6
Originally posted by Mike2
well yes, but then don't they use the fact that the Laplacian is zero?

as ambitwistor correctly points out: the laplacian is not zero.

the the curl of a gradient is zero.

physicists use both facts.
 
  • #7
Originally posted by Ambitwistor
Yes, but the Laplacian of an arbitrary function isn't automatically zero, so only certain functions (the harmonic ones) satisfy the condition that their Laplacian is zero. Every function satisfies the condition that the curl of its gradient equals zero, so that equation is not too useful on its own.

In other words, you could never find a "unique" function that satisfies the conditions. For ALL functions satisfy the conditions, right? Thanks.
 
  • #8
Originally posted by lethe

physicists use both facts.

Yes, but the question is HOW do they use the fact that the curl of the gradient of a scalar. Yes they use it in Stoke's theorem, but do they use it in its differential form?
 
  • #9
In other words, you could never find a "unique" function that satisfies the conditions. For ALL functions satisfy the conditions, right?

Yes, all functions satisfy the condition that the curl of their gradient is zero. In the case that the Laplacian is zero, there isn't a unique function that satisfies that condition (unless you also supply boundary conditions), but nor is it true that every function satisfies it, either. That's what makes it more interesting than an equation to which every function is a solution.
 
  • #10
Originally posted by Mike2
Yes, but the question is HOW do they use the fact that the curl of the gradient of a scalar. Yes they use it in Stoke's theorem, but do they use it in its differential form?

you bet they do. this fact is the basis of de Rham cohomology. it provides a powerful tool for topological classification of manifolds, which rests on Poincaré duality, which is really just an application of Stokes theorem.
 
  • #11
Yeah I'm glad as physicists we never really run into those weird functions that don't obey Clairaut's Theorem. Because if we did then technically the curl of a gradient of a scalar function wouldn't necessarily be zero. Since the curl of a gradient gives us second order mixed partial derivatives of the function in question like Fxy - Fyx as the z component, this may or may not be zero for Every function out there, though is certainly true for smooth twice continuously differentiable functions at least. SO the statement should be not that every function has a zero curl gradient but that only continuous smooth functions do, because a piecewise continuous function is certainly a function whether its smooth or not.
 

1. What is the curl of gradient of scalar?

The curl of gradient of scalar, also known as the Laplacian operator, is a mathematical operation that takes the gradient of a scalar field and then calculates the curl of the resulting vector. It is often used in physics and engineering to describe the behavior of fluid flow and electric fields.

2. How is the curl of gradient of scalar used in real-world applications?

The curl of gradient of scalar is used in many real-world applications, such as fluid dynamics, electromagnetism, and heat transfer. It is also commonly used in computer graphics to create realistic simulations of fluid flow and other physical phenomena.

3. What is the significance of the curl of gradient of scalar?

The curl of gradient of scalar is significant because it helps us understand the behavior of vector fields in three-dimensional space. It is a useful tool for analyzing and solving complex problems in physics and engineering.

4. How is the curl of gradient of scalar related to other vector operations?

The curl of gradient of scalar is closely related to other vector operations, such as the divergence and gradient. The divergence of a vector field is the dot product of the gradient of the scalar field, while the curl is the cross product. These operations are all important in understanding the behavior of vector fields.

5. Can the curl of gradient of scalar be negative?

Yes, the curl of gradient of scalar can be negative. It depends on the direction and magnitude of the vector field being analyzed. A negative curl indicates that the vector field is rotating in a clockwise direction, while a positive curl indicates a counterclockwise rotation.

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