Math Problem Statement
A box is to be made where the material for the sides and the lid cost $0.20 per square foot and the cost for the bottom is $0.30 per square foot. Find the dimensions of a box with volume 20 cubic feet that has minimum cost.
Solution
To solve the problem of finding the dimensions of a box with a volume of 20 cubic feet that minimizes the cost, we can use optimization techniques. The goal is to minimize the cost function while ensuring the box maintains a volume of 20 cubic feet.
1. Define the Variables:
Let:
- = the length of the box (in feet),
- = the width of the box (in feet),
- = the height of the box (in feet).
2. Volume Constraint:
The volume of the box is given by: This is our volume constraint.
3. Cost Function:
The cost of the box includes the costs of the sides, lid, and bottom:
- The sides (4 sides) and the lid are made of material that costs $0.20 per square foot.
- The bottom is made of material that costs $0.30 per square foot.
The surface area components are:
- The area of the bottom = ,
- The area of the lid = ,
- The area of the four sides = .
Thus, the total cost is: Simplifying the cost function:
4. Solve for :
Using the volume constraint , we can express as:
5. Substitute into the Cost Function:
Substituting into the cost function: Simplifying the terms:
6. Minimize the Cost Function:
To minimize the cost, we take the partial derivatives of with respect to and , set them equal to zero, and solve for and .
Partial derivative with respect to :
Partial derivative with respect to :
7. Solve the System of Equations:
Substitute into the volume constraint .
Solving these equations will give us the values of , , and that minimize the cost.
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Math Problem Analysis
Mathematical Concepts
Optimization
Cost Minimization
Volume Constraints
Partial Derivatives
Formulas
Volume of box: V = x * y * h = 20 cubic feet
Cost function: C = 0.50(xy) + 0.40(xh + yh)
Partial derivatives: ∂C/∂x and ∂C/∂y
Theorems
Lagrange Multipliers
Partial Differentiation
Suitable Grade Level
Undergraduate level (Calculus or Multivariable Calculus)
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