Optimizing Volume: Solving the Maximum Value Problem with Critical Point Formula

In summary, to find the largest volume of a rectangular box that satisfies the given condition, the horizontal perimeter should be 2 times the sum of the width and depth. The area of the base is maximum when the width and depth are equal. To have maximum volume, the height should be (L-h)/4. By finding the derivative of volume in terms of height and equating it to zero, the maximum volume can be found to be L^3/108 cubic units.
  • #1
Dissonance in E
71
0

Homework Statement


find the largest volume of a rectangular box that satisfies the following condition
the sum of the height and horizontal perimeter does not exceed L

Homework Equations


critical point formula:
system of equations must satisfy the following at critical values of x & y
fx = 0
fy = 0

The Attempt at a Solution


height + (width * depth) = L
height*width*depth = V

I do know the answer to be L^3/108 cubic units, but as to how to get that is beyond me.
 
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  • #2
Dissonance in E said:

Homework Statement


find the largest volume of a rectangular box that satisfies the following condition
the sum of the height and horizontal perimeter does not exceed L

Homework Equations


critical point formula:
system of equations must satisfy the following at critical values of x & y
fx = 0
fy = 0

The Attempt at a Solution


height + (width * depth) = L
height*width*depth = V

I do know the answer to be L^3/108 cubic units, but as to how to get that is beyond me.

Horizontal perimeter = 2(x+y) where x is the width and y is the depth.

Area of the base is maximum when x = y. To have maximum volume, change h so that ( h + 2x + 2y) = L.

If you put x = y, Volume V = h*x^2

Put x = (L-h)/4. Find dV/dh and equate it to zero. Find h in terms of L and find V.
 
  • #3
ahh i got it now, thanks a bunch!
 

1. What is the maximum value problem?

The maximum value problem is a mathematical optimization problem that involves finding the maximum value of a given function within a specific range or domain. It is used to determine the optimal value of a variable that will result in the highest possible output for a given situation.

2. How is the critical point formula used to solve the maximum value problem?

The critical point formula, also known as the first derivative test, is used to identify the critical points of a function, where the slope of the function is zero. These points can be either maximum or minimum points, and by plugging them into the original function, we can determine which one is the maximum value.

3. What is the role of the second derivative in optimizing volume?

The second derivative is used to determine whether a critical point is a maximum or minimum point. If the second derivative is positive, the critical point is a minimum point, and if it is negative, the critical point is a maximum point. This information is crucial in solving the maximum value problem.

4. Can the maximum value problem be applied in real-world situations?

Yes, the maximum value problem can be applied in various real-world situations, such as optimizing the production of a company to maximize profits, determining the optimal dosage of a medicine to achieve maximum effectiveness, or finding the best location for a new business to attract the most customers.

5. What are some techniques for optimizing volume besides using the critical point formula?

Other techniques for optimizing volume include using the Lagrange multiplier method, the second derivative test, and the method of substitution. These techniques may be more complex and time-consuming than the critical point formula, but they can also provide more accurate and precise results in some cases.

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