Math Problem Statement
Determine the dimensons of a rectanglar box, open at the top, having a volume of 32ft^3,and requiring the least amount of material for its construction
Solution
To determine the dimensions of a rectangular box with a volume of 32 ft³ that minimizes the surface area (and thus the material used), we can approach the problem using optimization techniques.
Step 1: Problem setup
The box has:
- Length ,
- Width ,
- Height .
The box is open at the top, so it has only five surfaces: the bottom, two sides, and two ends.
Volume constraint:
The volume of the box is given by the formula:
Surface area:
The surface area (which we want to minimize) includes:
- Bottom: ,
- Two sides: ,
- Two ends: .
Thus, the surface area is:
Step 2: Express in terms of and
From the volume equation:
Step 3: Substitute into the surface area equation
Substitute into the surface area formula:
Simplifying:
Step 4: Optimization
To minimize the surface area, we take the partial derivatives of with respect to and , set them equal to zero, and solve for the dimensions of the box.
Partial derivative with respect to :
Set this equal to zero:
Partial derivative with respect to :
Set this equal to zero:
Step 5: Solve the system of equations
Now we solve the system of two equations:
Substitute into the second equation:
This simplifies to:
Now that we have , substitute this back into :
Finally, substitute and into the volume equation to find :
Step 6: Conclusion
The dimensions of the box that minimize the surface area are:
- Length ft,
- Width ft,
- Height ft.
Summary
The optimal dimensions of the rectangular box are feet, giving a volume of 32 ft³ and minimizing the material used for construction.
Would you like further explanation or details about any step? Here are 5 related questions for you:
- How can we verify that these dimensions truly minimize the surface area?
- What happens if the box is closed on top as well—how would the surface area change?
- What is the general approach to solving optimization problems involving volume constraints?
- How do we find the second derivative to confirm that this solution is a minimum?
- How could this approach be applied to other optimization problems, such as minimizing cost for a cylindrical container?
Tip: When dealing with optimization problems like this, always start by writing down the constraints (like the volume) and the objective (like surface area) before applying derivatives.
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Math Problem Analysis
Mathematical Concepts
Optimization
Geometry
Calculus
Surface Area
Volume
Formulas
Volume: V = l * w * h
Surface Area (open top): A = l * w + 2 * l * h + 2 * w * h
Constraint: h = 32 / (l * w)
Theorems
First Derivative Test for Optimization
Partial Derivatives for Multivariable Functions
Suitable Grade Level
Grades 11-12 or College-Level Calculus
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