Calculus I 03.07 Optimization Problems
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3.7 Optimization Problems
- Solve applied maximum and minimum problems.
Applied Maximum and Minimum Problems
A common application for calculus is determining maximum and minimum values. Superlatives such as greatest profit, least cost, least time, greatest voltage, optimum size, least size, greatest strength, and greatest distance all require determining maximum and minimum values. Consider Example 3.7.1.
Example 3.7.1 Finding Maximum Volume
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A manufacturer wants to design an open box having a square base and a 108 square inches in surface area, as shown in Figure 3.7.1. What dimensions will produce a box with maximum volume?
This equation is called the primary equation because it provides the formula for the quantity for optimization. The surface area for the box is
Because the goal is maximizing \(V\) write it as a function with one variable. To accomplish this solve the secondary equation for \(h\) and substitute that into the primary equation. Solve the secondary equation.
Substitute it into the primary equation.
Before finding which \(x\)-value will maximize \(V\) determine the feasible domain. As in, what values for \(x\) make sense in this problem? The volume is \(V \leq 0\). Any value for \(x\) must be non-negative. The area for the base is \(A=x^2\) and is at most 108. This makes the feasible domain
To maximize \(V\), find the critical numbers for the volume function on the interval \((0,\sqrt{108})\).
The critical numbers are \(x= \pm 6\). Reject \(x=-6\) because it is outside the domain. Evaluating \(V\) at the critical number \(x=6\) and at the endpoints the domain produces \(V(0)=0,\:V(6)=108, \text{ and }V(108)=0\) produces a maximum when \(x=6\). The dimensions for the box are 6x6x3 inches. |
Example 3.7.1 demonstrated there are infinitely many open boxes having 108 square inches in surface area. What shaped box might yield a maximum volume? Should the box be tall, squat, or nearly cubical? One method is calculating a few volumes and shapes, as shown in Figure 3.7.2.Remember that solving a problem starts with understanding what the problem is in detail.
Example 3.7.1 illustrates the following guidelines for solving applied maximum and minimum problems.
Guidelines for Solving Applied Maximum and Minimum Problems
1. Identify all given quantities and all quantities to be determined. If possible, make a sketch.
2. Write a primary equation for the quantity to maximize or minimize.
3. Reduce the primary equation to one with a single independent variable. This may using secondary equations relating the independent variables in the primary equation.
4. Determine the feasible domain for the primary equation.
5. Determine the desired maximum or minimum values using the techniques discussed in Sections 3.1 through 3.4 by finding the critical numbers and comparing them with the interval endpoints.
Example 3.7.2 Finding Minimum Distance
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Which points on the graph for
are closest to the point \((0,2)\).
Using the secondary equation
the primary equation can be rewriten as
The variable \(d\) is smallest when the expression inside the radical is smallest. Find the critical numbers for
Note the domain for \(f\) is the entire real number line, therefore there are no endpoints to consider. The derivative for \(f\)
is zero when
Using the First Derivative Test verifies that \(x=0\) yields a relative maximum. But \(x=\sqrt{3/2}\) and \(x=-\sqrt{3/2}\) yield a minimum distance. Therefore, the closest points are \((\sqrt{3/2},5/2)\) and \((-\sqrt{3/2},5/2)\). |
Example 3.7.3 Finding Minimum Area
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Place 24 printable square inches on a rectangular page. The top and bottom margins are \(1\frac{1}{2}\) inches. The left and right margins are 1 inch, as shown in Figure 3.7.4. Minimize the page area, \(A\), to minimize the paper used.
The printable area inside the margins is
Solving the secondary equation for \(y\) produces
Substitution into the primary equation produces
Because \(x\) must be positive only the values for \(A\) where \(x>0\) are viable. Differentiate with respect to \(x\) to find the critical numbers,
and note the derivative is zero when \(x^2=36\), or \(x= \pm 6\). Therefore, the critical numbers are \(x= \pm 6\). Discard \(x=-6\) because it is outside the domain. The First Derivative Test confirms that \(A\) is a minimum when \(x=6\). Finally, \(y=\frac{24}{6}=4\) and the page should be \(x+3=9\) inches by \(y+2=6\) inches. |
Example 3.7.4 Finding Minimum Length
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Two posts, one 12 feet high and the other 28 feet high, stand 30 feet apart. A wire stays each running from the top to the ground and are both attached to a single stake. Where should the stake be placed for the shortest wire?
Rather than solving for \(y\) in \(z\) terms, or the reverse, solve for both \(y\) and \(z\) in \(x\) terms, a third variable, as shown in Figure 3.7.5. Applying the Pythagorean Theorem produces
which implies that
Rewrite the primary equation as
Differentiating \(W\) with respect to \(x\) yields
By letting
yields Because \(x=-22.5\) is not in the domain and
the conclusion is the wire should be staked at 9 feet from the 12-foot pole. |
In the first four examples, the extreme value occurred at a critical number. This happens often, but remember that an extreme value can also occur at an interval endpoint, as shown in Example 3.7.5.
Example 3.7.5 Finding Minimum Length
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A wire four feet long is formed into a square and a circle. How much wire should be used to enclose the maximum total area?
Because the wire is 4 feet long, the total perimeter is
Therefore,
by substituting this into the primary equation produces
The feasible domain is \(0 \leq x \leq 1\), as restricted by the square's perimeter. Because
the only critical number in \((0,1)\) is
Using
the conclusion is the maximum are occurs when \(x=0\). That is, all the wire is used for the circle. |
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Parent Article: Calculus I 03 Differentiation Applications