Optimization greatest possible volume Problem

In summary, the question is asking for the greatest possible volume of a rectangular box inscribed in the ellipsoid 96x^2 + 4y^2 + 4z^2 = 36. The volume can be calculated as V = (2x)(2y)(2z) = 8xyz. The method used to solve for the maximum volume involves finding critical points by taking partial derivatives, which can be complicated. Alternatively, the problem can be solved using Lagrange multipliers.
  • #1
nrm
7
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Question: [ A rectangular box, whose edges are parallel to the coordinate axes, is inscribed in the ellipsoid 96x^2 + 4y^2 + 4z^2 = 36, What is the greatest possible volume for such a box ]

I realize that the volume of the box: V = (2x)(2y)(2z) = 8xyz
Thus far I've solved for z^2 in the equation of the ellipsoid and then squared the volume so that I could make the substitution easier
V^2 = 64(x^2)(y^2)(9-24x^2-y^2)
Then I've taken the partial derivates of this to look cor critical points, but here I get an algebraic nightmare and can't find critical points. I'm wondering if my initial steps are correct, it's the only thing I could think of doing.

Any help would be great. thank you
 
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  • #2
what did you get for the partials
 
  • #3
Partial with respect to x:
1152x(y^2)-6144(x^3)(y^2)-128x(y^4)

y
1152(x^2)y-3072(x^4)y-256(x^2)(y^3)
 
  • #4
The partial derivative of
[tex]64(x^2)(y^2)(9-24x^2-y^2)[/tex]
with respect to x is, by the product rule,
[tex]128xy^2(9- 24x^2- y^2)- 3072x^3y[/tex]
set that equal to 0 and you should be able to do a lot of cancelling.

I would do this problem with "Lagrange multipliers" but you may not have had that yet.
 

FAQ: Optimization greatest possible volume Problem

What is the Optimization Greatest Possible Volume Problem?

The Optimization Greatest Possible Volume Problem is a mathematical problem in which a specific shape, such as a cube or cylinder, must be created with the maximum possible volume using a given amount of material.

How is the Optimization Greatest Possible Volume Problem solved?

The problem is typically solved using calculus and optimization techniques. The first step is to create an equation for the volume of the shape in terms of one variable, such as the side length of a cube. Then, the derivative of this equation is taken and set equal to zero to find the critical point. Finally, the critical point is plugged back into the original equation to find the maximum volume.

What are some real-life applications of the Optimization Greatest Possible Volume Problem?

This problem can be applied in various fields, such as architecture, engineering, and manufacturing. It can be used to determine the optimal dimensions of a product to maximize its volume while minimizing the cost of materials. It can also be used in designing storage containers or packaging to efficiently use space.

Are there any limitations to the Optimization Greatest Possible Volume Problem?

One limitation is that the problem assumes a uniform material density, which may not always be the case in real-life scenarios. Additionally, the solution may not always be feasible or practical to implement in the real world due to various constraints such as structural integrity or manufacturing limitations.

What skills are required to solve the Optimization Greatest Possible Volume Problem?

A strong understanding of calculus and optimization techniques is necessary to solve this problem. Additionally, critical thinking and problem-solving skills are essential in identifying the correct variables and formulating the appropriate equations. Familiarity with geometric shapes and their volume formulas is also helpful.

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