Verify Divergence Theorem for Q with G(x,y,z) in $\Re^3$

In summary, the divergence theorem is verified by evaluating the right side of the equation, which involves calculating the contribution from each side of the unit cube in \Re^3 separately. Each side has a normal vector and a corresponding integral that can be evaluated, and the total value is obtained by adding the individual contributions together. The integral operation has the property of additivity, allowing the surface to be split into sub-surfaces for easier calculation.
  • #1
Tony11235
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Let Q denote the unit cube in [tex]\Re^3[/tex] (that is the unite cube with 0<x,y,z<1). Let G(x,y,z) = (y, xe^z+3y, y^3*sinx). Verify the validity of the divergence theorem.

[tex] \int_{Q} \bigtriangledown} \cdot G dxdydz = \int_{\partial Q} G \cdot n dS [/tex]

I am not sure how to evaluate the right side. Any help would be good.
 
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  • #2
Well, you've got six sides on your surface, right?
Treat the contribution from each side separately.
 
  • #3
What would say..the first integral of the six look like? I just need one example.
 
  • #4
Okay, let's look at the side x=1, 0<=y,z<=1.
Here, the normal vector is +i.
G(1,y,z)=(y,e^z+3y,y^3sinx)
Forming the dot product between G and the normal vector yields the integrand "y".
This is easy to integrate over the y,z-square (yielding 1/2 in contribution)

Okay?
 
  • #5
Ok that makes sense. So in the end I add the value of each of the six integrals for the total value of the original integral, [tex]\int_{\partial Q} G \cdot n dS [/tex]?
 
  • #6
By the way, is your book actually using [itex]\partial\Omega[/itex]? I'm more used to seeing [itex]d\Omega[/itex] or [itex]\delta\Omega[/itex].
 
  • #7
Tony11235 said:
Ok that makes sense. So in the end I add the value of each of the six integrals for the total value of the original integral, [tex]\int_{\partial Q} G \cdot n dS [/tex]?
That's correct.
Remember that the integral operation has the additive property; this entails that you may split up the surface in an arbitrary number of sub-surfaces, calculate the individual contributions and then add the individual contributions together to gain the correct value.
 

1. What is the Divergence Theorem?

The Divergence Theorem, also known as Gauss's Theorem, is a fundamental theorem in vector calculus that relates the flow of a vector field through a closed surface to the behavior of the vector field inside the surface. It is used to convert a surface integral into a volume integral, and is an important tool in many areas of physics and engineering.

2. How is the Divergence Theorem verified?

The Divergence Theorem is verified by showing that the surface integral of a vector field over a closed surface is equal to the volume integral of the divergence of the vector field over the enclosed volume. This can be done by using the definition of the divergence operator and applying various mathematical techniques, such as the divergence theorem itself, Green's theorem, or Stoke's theorem.

3. What is Q in the context of verifying the Divergence Theorem?

In the context of verifying the Divergence Theorem, Q refers to a closed surface in three-dimensional space. This surface is used to enclose a volume over which the volume integral of the divergence of a vector field is calculated. Q can be any closed surface, such as a sphere, cube, or cylinder.

4. How is G(x,y,z) used in verifying the Divergence Theorem?

G(x,y,z) is a vector field that is used in the volume integral of the divergence theorem. It represents a physical quantity, such as a force or a velocity, that is changing at each point in three-dimensional space. By calculating the divergence of G(x,y,z), the flow of this vector field through the closed surface Q can be determined and compared to the surface integral of G(x,y,z) over Q.

5. What is the significance of verifying the Divergence Theorem?

The Divergence Theorem is a powerful tool in mathematics and physics, and verifying it is important in ensuring the accuracy of calculations and theoretical models. It allows for the conversion of a difficult surface integral into a simpler volume integral, and has many applications in areas such as fluid mechanics, electromagnetism, and heat transfer. By verifying the Divergence Theorem, we can confidently use it to solve real-world problems and gain a deeper understanding of the behavior of vector fields in three-dimensional space.

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