Divergence, curl of normal vector

In summary, the conversation discusses the interpretation of the divergence or curl of the unit normal defined on a surface, which is often encountered when applying Stokes' theorem. The surface integral on the left side of the equation evaluates to the area of the surface, and the derivation provided in the conversation may not be valid due to the assumption that the field n remains unit length as it extends from the surface into the surrounding volume. The mean curvature can only depend on the values of n on the surface and not on how it varies away from the surface.
  • #1
techmologist
306
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How do you interpret the divergence or curl of the unit normal defined on a surface? This sometimes comes up when applying Stokes' theorem. A simple example would be

Surface area =
[tex]\int_{S} \hat{n} \cdot \hat{n} dA = \int_{V} \nabla \cdot \hat{n} dV[/tex]

where S is the closed surface that bounds a volume V. Since the normal n is defined on S, how do you interpret div n in the interior region? Do you just extend the field n on S to a field N on V in such a way that it is continuously differentiable and satisfies N = n on S?

I am assuming that there's nothing wrong with applying Stokes'/Divergence theorem when the vector field being integrated depends on the region of integration.
 
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  • #2
Stokes' theorem does not apply if the vector field is not defined on an open region containing the volume V. And the idea of extending the definition of the normal to the region wouldn't work because it wouldn't be unique anyway.

For what it's worth, that surface integral on the left just evaluates to the area of the surface.
 
  • #3
Thanks for the reply. Does that mean that the derivation here

https://www.physicsforums.com/showthread.php?t=525080

is invalid? At first I didn't think about it, but then I realized that what I'm calling div n in that derivation is only the divergence due to the surface coordinates. If the normal contribution to the divergence,

[tex]\mathbf{n} \cdot \frac{\partial}{\partial n} \mathbf{n}[/tex]

is not zero, then div n is not the mean curvature. The expression above is zero if you assume that the field n remains unit length as it extends from the surface into the surrounding volume.

EDIT: Well, at least the integrand in

∫(∇n)⋅n−(∇⋅n)n da

depends only on how the normal vector field changes on the surface S. That integrand is really what I calculated as twice the mean curvature. And of course the mean curvature can only depend on the values of n on the surface, not on how n (its extension, actually) varies away from the surface.
 
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Related to Divergence, curl of normal vector

1. What is divergence?

Divergence is a mathematical operation that measures the flow of a vector field out of a given point. It represents the amount of flux per unit volume flowing out of a point in a vector field.

2. How is divergence calculated?

Divergence is calculated by taking the dot product of the vector field with the del operator (∇). This gives a scalar value that represents the amount of flow out of a given point in the vector field.

3. What is the meaning of curl of the normal vector?

The curl of the normal vector is a measure of how much the vector field is rotating or swirling at a given point. It is perpendicular to the direction of flow and represents the tendency of the vector field to rotate around a given point.

4. How is curl of the normal vector related to divergence?

Curl and divergence are two related concepts in vector calculus. While divergence measures the flow out of a point, curl measures the rotation or swirling of a vector field at a given point. In some cases, the two may be linked, but in general, they represent different aspects of a vector field.

5. Why is the concept of divergence and curl important in science?

Divergence and curl are important concepts in many areas of science, including physics, engineering, and mathematics. They are used to describe and analyze vector fields, which are present in many natural phenomena, such as fluid flow, electromagnetism, and weather patterns. Understanding and calculating divergence and curl can help scientists and engineers make predictions and solve problems related to these phenomena.

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