Optimization maximum area Problem

In summary, the question is asking for the maximum possible area of a rectangular pen with 1200 m of fencing, divided into three parts using two parallel partitions. The relevant equation is A=LW and the attempt at solving the question did not take into account the partitions, resulting in an incorrect answer. The correct solution involves setting 2L + 4W = 1200, solving for L, and plugging it into A=LW to get the maximum area.
  • #1
Saterial
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1) The question
A rectangular pen is to be built with 1200 m of fencing. The pen is to be divided into three parts using two parallel partitions.
A) Find the maximum possible area of the pen. (45000 m^2)
B) explain how the maximum area would change if each side of the pen had to be at least 180 m long.

2) Relevant Equations
A=lw

3) Attempt at solution

A=lw
=(1200-2w)w
=1200w-2w^2
dA/dw=1200-4w
0=1200-4w
w=300
l=600
A=(600)(300)
=180000 m^2

This was the method I was taught to solve this question. I don't understand how the answer is 45000 m^2.

b) 0>_w>_180

Solve for w at both 0 and 180

0>_l>_180

Solve for l at both 0 and 180

Find area using a=lw

Once again incorrect answer by myself. What am I doing wrong? Am I missing something?
 
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  • #2
Saterial said:
1) The question
A rectangular pen is to be built with 1200 m of fencing. The pen is to be divided into three parts using two parallel partitions.
A) Find the maximum possible area of the pen. (45000 m^2)
B) explain how the maximum area would change if each side of the pen had to be at least 180 m long.

2) Relevant Equations
A=lw

3) Attempt at solution

A=lw
=(1200-2w)w
You didn't take into account that the pen is divided into 3 partitions. The total length of fencing is not the perimeter of the rectangular pen (2L + 2W), but the perimeter plus 2 parallel partitions. If you let one partition be the same as the width, then the total fencing would be
2L + 4W = 1200

Solve for L, plug into A=LW, and if you redo your steps you'll get the maximum area.
 
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FAQ: Optimization maximum area Problem

1. What is the "Optimization Maximum Area Problem"?

The Optimization Maximum Area Problem is a mathematical problem that involves finding the maximum area of a shape or surface, given certain constraints or limitations.

2. What are the common applications of the Optimization Maximum Area Problem?

The Optimization Maximum Area Problem is commonly used in engineering, physics, economics, and other fields where maximizing efficiency or minimizing costs is important. It can be applied to problems such as finding the most efficient shape for a solar panel or determining the optimal amount of resources to allocate for a project.

3. How is the Optimization Maximum Area Problem solved?

The Optimization Maximum Area Problem is typically solved using mathematical techniques such as calculus, specifically the derivative and optimization methods. This involves setting up an equation for the area and then finding the maximum value using the derivative.

4. What are the key factors that affect the solution to the Optimization Maximum Area Problem?

The key factors that affect the solution to the Optimization Maximum Area Problem include the shape or surface being optimized, the constraints or limitations, and any additional variables such as cost or efficiency. These factors can greatly impact the final solution and may require different approaches to solving the problem.

5. Are there any real-life examples of the Optimization Maximum Area Problem?

Yes, there are many real-life examples of the Optimization Maximum Area Problem. One example is in architecture, where architects use optimization techniques to determine the most efficient shape and layout for buildings. Another example is in manufacturing, where companies use optimization methods to determine the optimal size and shape for products to minimize production costs.

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