Vector calculus fundamental theorem corollaries

In summary: Scalar multiplication happens when you multiply two vectors, but in this case, c is a constant and so it just cancels out.Thank you for clearing that up for me.In summary, the divergent theorem was used to solve for the vector equation where c is a constant. The gradient and surface element vectors were then obtained by multiplying the vector equation by the respective constants.
  • #1
Adam Lewis
16
0

Homework Statement


Prove

[tex]\int_{V}\nabla\ T d\tau\ = \oint_{S}Td\vec{a}[/tex]


Homework Equations



Divergence theorem:
[tex]\int_{V}(\nabla\bullet\vec{A})d\tau\ = \oint_{S}\vec{A}\bullet\ d\vec{a}[/tex]


The Attempt at a Solution


By using the divergence theorem with the product rule for divergences and setting [tex]\vec{A}\ = T\vec{c}[/tex] where c is a constant vector, I've got it down to

[tex]\int_{V}\vec{c}\bullet\nabla\ Td \tau\ = \oint_{S}T\vec{c}\bullet\ d\vec{a}[/tex]

Which is exactly what we're looking for except for that annoying c. You can work out the dot products in the integrals and cancel off the components of c, but this kills the vector nature of the expression. We need the gradient *vector* and the surface element *vector* to be in there. How do I get rid of c without turning everything scalar? Alternatively, how do I restore the expressions to vector-hood after getting rid of c?
 
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  • #2
Adam Lewis said:

The Attempt at a Solution


By using the divergence theorem with the product rule for divergences and setting [tex]\vec{A}\ = T\vec{c}[/tex] where c is a constant vector, I've got it down to

[tex]\int_{V}\vec{c}\bullet\nabla\ Td \tau\ = \oint_{S}T\vec{c}\bullet\ d\vec{a}[/tex]

Which is exactly what we're looking for except for that annoying c. You can work out the dot products in the integrals and cancel off the components of c, but this kills the vector nature of the expression. We need the gradient *vector* and the surface element *vector* to be in there. How do I get rid of c without turning everything scalar? Alternatively, how do I restore the expressions to vector-hood after getting rid of c?

First, since [itex]T[/itex] is a scalar function, [itex]T\vec{c} \cdot d\vec{a}=\vec{c} \cdot Td\vec{a}[/itex], from there, just use the fact that if [itex]\vec{c}[/itex] is a constant vector it is uniform over space, and hence it is treated as a constant for the spatial integrations:

[tex]\int_{V}\vec{c}\cdot\vec{v}d \tau=\vec{c}\cdot\int_{V}\vec{v}d \tau[/tex]

(for any vector [itex]\vec{v}[/itex] ) and

[tex]\oint_{S}\vec{c}\cdot\ Td\vec{a}=\vec{c}\cdot\oint_{S} Td\vec{a}[/tex]

If you haven't already proven these assertions in any of your calculus courses, it is a fairly straight forward process of writing the vectors in Cartesian coordinates (Since Cartesian unit vector are position independent, they can be pulled out of the integrals) and breaking up the integral into three pieces, and pulling out the constants [itex]c_x[/itex], [itex]c_y[/itex] and [itex]c_z[/itex].
 
  • #3
Hi again,
Thanks a bundle. I guess the dot when c is pulled out represents scalar multiplication? The integral without c is of course a scalar, which was confusing me.
Thanks!
 
  • #4
No, the 'dot' is still a vector dot product, the integral of a vector, is a vector.
 

FAQ: Vector calculus fundamental theorem corollaries

What is the fundamental theorem of vector calculus?

The fundamental theorem of vector calculus states that the line integral of a vector field over a closed curve is equal to the double integral of the curl of the vector field over the surface enclosed by the curve. In simpler terms, it relates the behavior of a vector field on a surface to its behavior along the boundary of that surface.

What are the corollaries of the fundamental theorem of vector calculus?

The corollaries of the fundamental theorem of vector calculus include Green's theorem, Stokes' theorem, and the divergence theorem. These theorems relate line integrals, surface integrals, and volume integrals, respectively, to the behavior of a vector field on the boundary of a region.

Why is the fundamental theorem of vector calculus important?

The fundamental theorem of vector calculus is important because it provides a powerful tool for solving a wide range of problems in physics, engineering, and mathematics. It allows us to relate the behavior of a vector field on a surface to its behavior on the boundary of that surface, making it useful for calculating flux, work, and other important quantities.

How is the fundamental theorem of vector calculus related to other fundamental theorems?

The fundamental theorem of vector calculus is closely related to other fundamental theorems in calculus, such as the fundamental theorem of calculus and the fundamental theorem of line integrals. These theorems all relate different types of integrals to each other, making it easier to solve complex problems by using multiple types of integrals.

Are there any real-world applications of the fundamental theorem of vector calculus?

Yes, the fundamental theorem of vector calculus has many real-world applications in fields such as physics, engineering, and computer graphics. It is used to calculate electric and magnetic fields, fluid flow, and heat transfer, among other things. It is also used in computer graphics to simulate the movement of dynamic objects and create realistic 3D images.

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