Math Problem Statement

An open-top rectangular box is being constructed to hold a volume of 200 in³. The base of the box is made from a material costing 5 cents/in². The front of the box must be decorated, and will cost 10 cents/in². The remainder of the sides will cost 4 cents/in². Find the dimensions that will minimize the cost of constructing this box. Please show your answers to at least 4 decimal places.

Solution

To solve this problem, we need to:

  1. Define the dimensions of the open-top box.
  2. Set up an equation for the volume constraint.
  3. Set up a cost function based on the surface area and given costs.
  4. Use calculus to minimize the cost function under the volume constraint.

Let's proceed step by step.

Step 1: Define Dimensions

Let:

  • ww be the width (front width) of the box.
  • dd be the depth of the box.
  • hh be the height of the box.

Step 2: Volume Constraint

The box must hold a volume of 200 in³, so we have: wdh=200w \cdot d \cdot h = 200 This relationship will help us express one of the variables in terms of the others.

Step 3: Cost Function

The costs per square inch are as follows:

  • Base: 55 cents/in²
  • Front side: 1010 cents/in²
  • Other sides: 44 cents/in²

The surface areas and costs for each part of the box are:

  1. Base (bottom): Area = wdw \cdot d, Cost = 5(wd)5 \cdot (w \cdot d).
  2. Front Side: Area = whw \cdot h, Cost = 10(wh)10 \cdot (w \cdot h).
  3. Back Side: Area = whw \cdot h, Cost = 4(wh)4 \cdot (w \cdot h).
  4. Two Side Panels: Each has area dhd \cdot h, so total area is 2dh2 \cdot d \cdot h, and total cost is 4(2dh)=8dh4 \cdot (2 \cdot d \cdot h) = 8 \cdot d \cdot h.

The total cost function CC in terms of ww, dd, and hh is: C=5wd+10wh+4wh+8dh=5wd+14wh+8dhC = 5wd + 10wh + 4wh + 8dh = 5wd + 14wh + 8dh

Step 4: Substitute Using Volume Constraint

From wdh=200w \cdot d \cdot h = 200, we can solve for hh as: h=200wdh = \frac{200}{wd}

Substitute h=200wdh = \frac{200}{wd} into the cost function: C=5wd+14w(200wd)+8d(200wd)C = 5wd + 14w\left(\frac{200}{wd}\right) + 8d\left(\frac{200}{wd}\right) Simplify each term:

  1. 5wd5wd remains as is.
  2. 14w200wd=2800d14w \cdot \frac{200}{wd} = \frac{2800}{d}.
  3. 8d200wd=1600w8d \cdot \frac{200}{wd} = \frac{1600}{w}.

Thus, the cost function CC in terms of ww and dd becomes: C(w,d)=5wd+2800d+1600wC(w, d) = 5wd + \frac{2800}{d} + \frac{1600}{w}

Step 5: Minimize the Cost Function

To find the minimum cost, we can take partial derivatives of C(w,d)C(w, d) with respect to ww and dd, set them to zero, and solve the resulting equations. Let me calculate this.The real, positive solution for the dimensions (ignoring complex solutions) is:

w=49801/375.8480inchesw = \frac{4 \cdot 980^{1/3}}{7} \approx 5.8480 \, \text{inches} d=9801/37.3014inchesd = 980^{1/3} \approx 7.3014 \, \text{inches}

Using the volume constraint wdh=200w \cdot d \cdot h = 200, we can solve for hh:

h=200wdh = \frac{200}{w \cdot d}

Let me substitute these values to find hh.The dimensions that minimize the cost of constructing the box are:

  • Front width (w): 5.6759 inches
  • Depth (d): 9.9329 inches
  • Height (h): 3.5475 inches

These dimensions satisfy the volume constraint and minimize the material cost based on the specified prices.

Would you like more details on any of the steps or further clarification?

Here are some related questions to explore:

  1. How would the cost function change if the box had a top?
  2. What if the decorative front side also affected the depth cost?
  3. How would a different volume constraint impact the dimensions?
  4. How does changing the cost per square inch on each side affect the outcome?
  5. Can these calculations be applied to optimize other types of containers?

Tip: For optimization problems with constraints, converting one variable using the constraint often simplifies the problem, making it easier to solve.

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Math Problem Analysis

Mathematical Concepts

Optimization
Calculus
Geometry

Formulas

Volume constraint formula: V = w * d * h
Cost function: C(w, d, h) = 5wd + 10wh + 4wh + 8dh
Partial derivatives for optimization

Theorems

Optimization through partial derivatives

Suitable Grade Level

Undergraduate Calculus or Advanced High School