Optimization Problems: Finding Minimum Area using Second Derivative Test

In summary, the rectangle has a shorter side (equal to the side of the square) and the square has a longer side (y times the width of the rectangle). The second derivative test can be used to determine if the critical point is a minimum.
  • #1
NIZBIT
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Code:
A 51 meter length of wire is cut into two parts.  
The first part is fashioned into a rectangle that is twice as long as it is wide.  
The second part is fashioned into a square.  
How much of the originial wire is used for each shape 
if the shapes' combined area is a minimum?  
Use the second derivative test(S.D.T.) to determine the minimum.
Couple of questions/comments on this problem. Why the SDT? Out of all the examples in the bookn either max or min optimization problems don't do the SDT. They do the first derivative test to determine critical values to solve the problem. Second question is my primary and secondary equations set up right? This the primary equation:
[tex]A = xy + x^2[/tex]
Secondary:
[tex]51 = 2(2x + y) + 4x[/tex]
 
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  • #2
Why are you assuming the rectangle has a short side equal to a side of the square? That's not necessarily the case.
 
  • #3
So I need a third variable? I'm starting to understand this less and less.
 
  • #4
No you don't need a third variable, because the length of the wire was given. You've made two mistakes here.

1.) The dimensions of the rectangle aren't 2x by y, they're 2x by x. They told you that one dimension is twice the other.

Then there's the mistake that daveb pointed out.

2.) You're assuming that each side of the square has the same length as the width of the rectangle. That isn't necessarily the case, so call it something else (like y).
 
  • #5
No, you only need two variables because you haven't used "a rectangle that is twice as long as it is wide".

You are cutting the wire into two pieces. One is used to form a rectangle. Since the "rectangle is twice as long as it is wide", you can call the width of the rectangle x and the length will be 2x. Then the area is 2x2 and the perimeter (the length of that piece of wire) is 2x+ 2(2x)= 6x. The other piece is used to form a square. Call the length of a side of the square y. Then the area is y2 and the perimeter (the length of that piece of wire) is 4y. Since the entire wire has length 51 m, you have 6x+ 4y= 51 and want to minimize 2x2+ y2 subject to that constraint.

The second derivative test can be used determine if your critical point is a minimum.
 
  • #6
Thanks for the help! Times like these make me wonder about my math career.:frown:
 

FAQ: Optimization Problems: Finding Minimum Area using Second Derivative Test

What is an optimization problem?

An optimization problem is a mathematical problem that involves finding the maximum or minimum value of a function, often subject to certain constraints.

How is the minimum area of a shape determined using the second derivative test?

The second derivative test is a method for determining whether a critical point of a function corresponds to a minimum, maximum, or saddle point. In the case of finding the minimum area of a shape, the second derivative test can be used to determine if the critical point corresponds to a minimum area.

What is the significance of the second derivative in optimization problems?

The second derivative is used in optimization problems to determine the nature of critical points and to find the minimum or maximum values of a function. It provides information about the curvature of a function and can help identify if a critical point corresponds to a minimum, maximum, or saddle point.

How does the second derivative test work?

The second derivative test involves taking the second derivative of a function and evaluating it at the critical point. If the second derivative is positive, the critical point corresponds to a minimum value. If the second derivative is negative, the critical point corresponds to a maximum value. If the second derivative is zero, further analysis is needed to determine the nature of the critical point.

Are there any limitations to using the second derivative test?

Yes, the second derivative test can only be used to determine the nature of critical points when the function is twice differentiable. Additionally, there are cases where the second derivative may be zero at a critical point, but the point does not correspond to a minimum or maximum value. In these cases, further analysis is needed to determine the nature of the critical point.

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