Final answer:
To minimize the total cost of the box, we need to find the dimensions that minimize the sum of the cost of the bottom and sides. By taking the derivative of the cost function and solving for the dimensions, we can find the optimal values. The dimensions that minimize the cost are approximately (s, h) = (3.78 m, 7.09 m).
Step-by-step explanation:
To minimize the total cost, we need to find the dimensions of the box that minimize the sum of the cost of the bottom and the sides.
The volume of the box is given as 108 m³, which can be expressed as s² * h, where s is the length of the side of the square bottom and h is the height of the box.
The cost of the bottom is $40/m² and the cost of the sides is $30/m². The cost can be expressed as 40 * s² + 30 * (s * 4 * h).
To minimize the cost, we need to find the values of s and h that minimize the cost function. We can do this by taking the derivative of the cost function with respect to s and h, setting them equal to zero, and solving for s and h. Once we have the values of s and h, we can calculate the cost.
Let's find the optimal dimensions of the box by using calculus:
Step 1: Write the cost function:
Cost = 40s² + 30s * 4h
Step 2: Write the volume constraint:
s² * h = 108
Step 3: Solve the volume constraint for h:
h = 108 / s²
Step 4: Substitute the value of h into the cost function:
Cost = 40s² + 30s * 4(108 / s²)
Step 5: Simplify the expression:
Cost = 40s² + 4320 / s
Step 6: Take the derivative of the cost function with respect to s:
d(Cost)/ds = 80s - 4320 / s²
Step 7: Set the derivative equal to zero and solve for s:
80s - 4320 / s² = 0
80s = 4320 / s²
80s³ = 4320
s³ = 54
s = ∛54
s ≈ 3.78 m
Step 8: Substitute the value of s into the volume constraint to find h:
h = 108 / s²
h = 108 / (3.78)²
h ≈ 7.09 m
So, the dimensions of the box that minimize the total cost are approximately (s, h) = (3.78 m, 7.09 m).