Proving the Maximum Volume of a Rectangular Parallelepiped: A Geometric Analysis

In summary, the maximum volume of a rectangular parallelepiped with a fixed surface area is when it is a cube.
  • #1
John O' Meara
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Prove that the maximum volume of a rectangular parallelepiped with a fixed surface area is when it is a cube.

Volume = v, length = l, width = w, height = h and surface area = s. Then we have: v = l*w*h = h^3. s = 2*w*l + 2*w*h + 2*h*l = constant = 6*h^2.

For a maximum to exist [tex] (\frac{{\partial ^2 y}}{{\partial x^2 }})(\frac{{\partial^2 y}}{{\partial x^2}}) - (\frac{{\partial^2 y}}{{\partial x}{\partial t }}) [/tex] > 0.

Where x, y and t are unknown to me. I just need some help to get started. Thank you very much.
 
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  • #2
I think you might try using the method of Lagrange multipliers, maximizing [tex] f(l, w, h) = v [/tex] under the condtion that [tex] \phi (l, w, h)= s [/tex] where v and s are constants with the multiplier [tex] \lamda [/tex].
 
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  • #3
The book that I am using is an introduction to Calculus, which does not have Lagrange multipliers in it. So by asking this question, it would imply that the question can be done without recourse to Lagrange multipliers. So I would think.
Anyway thanks for the reply.
 
  • #4
Okay, You know that the surface area of a given x by y by z parallelogram is 2xy+ 2xz+ 2yz= A and the volume is V= xyz.
From 2xy+ 2xz+ 2yz= A, you know that z(2x+2y)= A- 2xy so z= (A- 2xy)/(2x+ 2y). That means that, as a function of x and y, V= xy((A- 2xy)/(2x+ 2y))

Now, what does that tell you?
 
  • #5
I can do the following: [tex] \frac{{\partial V}}{{\partial x }} = 0 \\[/tex] and [tex] \frac{{ \partial V}}{{\partial y}} = 0 \\[/tex], and then solve for x and y. To find that [tex] x^2 = Y^2 \\[/tex]. Then I can find an expression for V in terms of z and y only, then [tex]\frac{{ \partial V}}{{\partial z}} = 0 \\ [/tex] and solve for y and z to get: [tex] y^2 = z^2 [/tex] Thanks for the reply.
 

FAQ: Proving the Maximum Volume of a Rectangular Parallelepiped: A Geometric Analysis

What is the "maximum volume question"?

The "maximum volume question" refers to a mathematical problem that asks for the maximum volume of a three-dimensional shape with given constraints. It is commonly used in geometry and calculus problems.

How do you solve a maximum volume question?

To solve a maximum volume question, you must first identify the given constraints, such as the dimensions of the object or any limitations on its shape. Then, you can use calculus techniques, such as derivatives and optimization, to find the maximum volume possible.

Can the maximum volume of a shape be determined without calculus?

No, the maximum volume of a shape cannot be accurately determined without using calculus techniques. These techniques are necessary to find the critical points, where the volume is at its maximum, and to confirm that it is indeed the maximum.

What are some real-life applications of the maximum volume question?

The maximum volume question has many real-life applications, such as determining the optimal size and shape of a container for a given volume, finding the largest possible volume of a shipping crate, and designing efficient storage spaces.

Are there any strategies or tips for solving maximum volume questions?

Some strategies for solving maximum volume questions include breaking down the problem into smaller, more manageable parts, visualizing the shape and its dimensions, and carefully considering the given constraints. It is also important to double-check your solution and make sure it is the maximum volume possible.

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