Multiple Integral Challenge Question, I just need a hint

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Homework Help Overview

The discussion revolves around a problem involving multiple integrals and the scalar triple product in a three-dimensional context. Participants explore the relationship between the volume defined by three vectors and the integration process, particularly focusing on potential variable transformations and the Jacobian.

Discussion Character

  • Exploratory, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • Participants discuss the significance of the scalar triple product and its relation to the volume of a parallelepiped formed by three vectors. There is contemplation about variable changes and the role of the Jacobian in the integration process. Questions arise regarding the conditions under which the right-hand side of the equation is defined, particularly concerning the linear independence of the vectors involved.

Discussion Status

Several participants have offered insights into the nature of linear independence and its implications for the problem. There is ongoing exploration of the Jacobian and its relationship to the scalar triple product, with some participants suggesting alternative approaches to computing it. The discussion reflects a productive exchange of ideas, though no consensus has been reached on a specific method.

Contextual Notes

Participants note that the problem's setup may lead to division by zero unless the vectors are linearly independent. This condition is central to the discussion and influences the approaches being considered.

kostoglotov
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Homework Statement



I will just post an image of the problem

JB6FEog.png


and here's the link if the above is too small: http://i.imgur.com/JB6FEog.png?1

Homework Equations

The Attempt at a Solution


I've been playing with it, but I can't figure out a good way to "grip" this problem.

I can see some things. I can see that the scalar triple product is the volume of the parallelopiped made from the three vector a, b and c. I can see that the \frac{(\alpha \beta \gamma)^2}{8} is analogous to \int \int \int_E xyz dV = \frac{(xyz)^2}{8} if x,y and z were the upper limits and the lower limits were all 0.

So I've thought that maybe there's a change of variable occurring, and the absolute value of the scalar triple product in the denominator comes from the Jacobian...should I keep heading in that direction? I can't think of a Transform that would be appropriate.
 
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kostoglotov said:

Homework Statement



I will just post an image of the problem

JB6FEog.png


and here's the link if the above is too small: http://i.imgur.com/JB6FEog.png?1

Homework Equations

The Attempt at a Solution


I've been playing with it, but I can't figure out a good way to "grip" this problem.

I can see some things. I can see that the scalar triple product is the volume of the parallelopiped made from the three vector a, b and c. I can see that the \frac{(\alpha \beta \gamma)^2}{8} is analogous to \int \int \int_E xyz dV = \frac{(xyz)^2}{8} if x,y and z were the upper limits and the lower limits were all 0.

So I've thought that maybe there's a change of variable occurring, and the absolute value of the scalar triple product in the denominator comes from the Jacobian...should I keep heading in that direction? I can't think of a Transform that would be appropriate.

The right-hand-side divides by zero unless the three vectors ##\vec{a}, \vec{b}, \vec{c}## are linearly independent, and when that is the case (that is, when you have linear independence) you can change variables to ## u = \vec{a} \cdot \vec{r}, \:v = \vec{b} \cdot \vec{r}, \:w = \vec{c} \cdot \vec{r}##.
 
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Ray Vickson said:
the three vectors ##\vec{a}, \vec{b}, \vec{c}## are linearly independent.

As a side question, is linearly independent the same as not being coplanar, or is not being coplanar one consequence of linear independence?
 
kostoglotov said:
As a side question, is linearly independent the same as not being coplanar, or is not being coplanar one consequence of linear independence?
Any three vectors that are coplanar are linearly dependent, but you can have two vectors in the same plane being linearly independent, as long as one of them isn't a scalar multiple of the other, so the concepts aren't the same.
 
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Just to add to that, for the benefit of the OP, if the three vectors are 3 dimensional then whether or not they are coplanar is equivalent to whether or not they are linearly dependent.
 
Ray Vickson said:
The right-hand-side divides by zero unless the three vectors ##\vec{a}, \vec{b}, \vec{c}## are linearly independent, and when that is the case (that is, when you have linear independence) you can change variables to ## u = \vec{a} \cdot \vec{r}, \:v = \vec{b} \cdot \vec{r}, \:w = \vec{c} \cdot \vec{r}##.

I need a bit of further help.

Should I be trying to get the Jacobian thusly

u = \vec{a} \cdot \vec{r} = a_1x + a_2y + a_3z

v = \vec{b} \cdot \vec{r} = b_1x + b_2y + b_3z

w = \vec{c} \cdot \vec{r} = c_1x + c_2y + c_3z

then find

\left| \frac{\partial(x,y,z)}{\partial(u,v,w)} \right|

Or is there some way that doesn't involve converting the dot product into a function of x,y,z?

Also, doing it this way, I should get \frac{\partial x}{\partial u} = \frac{1}{a_1}, \ \frac{\partial y}{\partial u} = \frac{1}{a_2}, \frac{\partial x}{\partial w} = \frac{1}{a_3} ... \frac{\partial x}{\partial v} = \frac{1}{b_1} ... \frac{\partial z}{\partial u} = \frac{1}{c_1}, yes?
 
kostoglotov said:
I need a bit of further help.

Should I be trying to get the Jacobian thusly

u = \vec{a} \cdot \vec{r} = a_1x + a_2y + a_3z

v = \vec{b} \cdot \vec{r} = b_1x + b_2y + b_3z

w = \vec{c} \cdot \vec{r} = c_1x + c_2y + c_3z

then find

\left| \frac{\partial(x,y,z)}{\partial(u,v,w)} \right|

Or is there some way that doesn't involve converting the dot product into a function of x,y,z?

Also, doing it this way, I should get \frac{\partial x}{\partial u} = \frac{1}{a_1}, \ \frac{\partial y}{\partial u} = \frac{1}{a_2}, \frac{\partial x}{\partial w} = \frac{1}{a_3} ... \frac{\partial x}{\partial v} = \frac{1}{b_1} ... \frac{\partial z}{\partial u} = \frac{1}{c_1}, yes?

Just use the standard textbook formulas for change-of-variables in multiple integration. If you do not have a textbook, look on-line. (I, personally do not feel I can offer more help, without essentially doing the problem for you.)
 
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kostoglotov said:
I need a bit of further help.

Should I be trying to get the Jacobian thusly

u = \vec{a} \cdot \vec{r} = a_1x + a_2y + a_3z

v = \vec{b} \cdot \vec{r} = b_1x + b_2y + b_3z

w = \vec{c} \cdot \vec{r} = c_1x + c_2y + c_3z

then find

\left| \frac{\partial(x,y,z)}{\partial(u,v,w)} \right|

Or is there some way that doesn't involve converting the dot product into a function of x,y,z?

Also, doing it this way, I should get \frac{\partial x}{\partial u} = \frac{1}{a_1}, \ \frac{\partial y}{\partial u} = \frac{1}{a_2}, \frac{\partial x}{\partial w} = \frac{1}{a_3} ... \frac{\partial x}{\partial v} = \frac{1}{b_1} ... \frac{\partial z}{\partial u} = \frac{1}{c_1}, yes?

No, you don't get that. You might find it easier to compute ## \left| \frac{\partial(u,v,w)}{\partial(x,y,z)} \right| ##. What's that and what might that have to do with the problem?
 
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Dick said:
No, you don't get that. You might find it easier to compute ## \left| \frac{\partial(u,v,w)}{\partial(x,y,z)} \right| ##. What's that and what might that have to do with the problem?

I'm going to say it's the multiplicative inverse of the Jacobian that I need to find.
 
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kostoglotov said:
I'm going to say it's the multiplicative inverse of the Jacobian that I need to find.

Yes, it is that. Now what is it, and what might it have to do with the triple product?
 
  • #11
Dick said:
Yes, it is that. Now what is it, and what might it have to do with the triple product?

It's the reciprocal of the scalar triple product. Thanks for your help.

Thank you everybody for your help! :D
 

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