Optimization Using Derivatives

    In this topic we give a few examples on how to set up a function to be optimized using its derivative. In general, the first step in solving an application problem is to understand the problem; maybe ask what are the unknowns?, and what are the given quantities? Then the next best step is usually to draw a picture, labeling the unknowns and introducing notation. The final step should always be to check the solution to see that it makes sense for the given questions.

Example (Optimizing with Area) Someone with 750 ft of fencing wants to enclose a rectangular area and then divide it into four pens with fencing parallel to one side of the rectangle. What is the largest possible total area of the four pens?

    Solution. Let optimization using derivatives _gr_1.gif] be the lengths of the 2 sides and let optimization using derivatives _gr_2.gif] be the lengths of the other 5 sides. We have optimization using derivatives _gr_3.gif] because there are three divides making the four pens. The area of the four pens is optimization using derivatives _gr_4.gif] thus we can solve optimization using derivatives _gr_5.gif] for optimization using derivatives _gr_6.gif] obtaining optimization using derivatives _gr_7.gif] So a function of the area is

optimization using derivatives _gr_8.gif]

We find optimization using derivatives _gr_9.gif] and so the critical number is optimization using derivatives _gr_10.gif] The largest possible area is optimization using derivatives _gr_11.gif] optimization using derivatives _gr_12.gif]

Example (Optimizing with Geometry) Find all points on the circle optimization using derivatives _gr_13.gif] such that the product of the optimization using derivatives _gr_14.gif]-coordinate and the optimization using derivatives _gr_15.gif]-coordinate is as large as possible.

    Solution. In the first quadrant we have optimization using derivatives _gr_16.gif] and so we want to maximize optimization using derivatives _gr_17.gif] We compute, optimization using derivatives _gr_18.gif] Thus the critical number is optimization using derivatives _gr_19.gif] The maxium value is  

optimization using derivatives _gr_20.gif]

Thus the points are optimization using derivatives _gr_21.gif] and optimization using derivatives _gr_22.gif] optimization using derivatives _gr_23.gif]

Example (Optimizing with Numbers) Find two nonnegative numbers whose sum is optimization using derivatives _gr_24.gif] and the product of whose squares is as large as possible.  

    Solution. We are looking for two nonnegative numbers, say optimization using derivatives _gr_25.gif] and optimization using derivatives _gr_26.gif] with optimization using derivatives _gr_27.gif] optimization using derivatives _gr_28.gif] and optimization using derivatives _gr_29.gif] We want to maximize optimization using derivatives _gr_30.gif] We compute,
    
optimization using derivatives _gr_31.gif]

Thus the critical numbers are optimization using derivatives _gr_32.gif] We find optimization using derivatives _gr_33.gif] and the largest possible value to be optimization using derivatives _gr_34.gif] with optimization using derivatives _gr_35.gif]   optimization using derivatives _gr_36.gif]

Example (Optimizing with Numbers)  Under the condition that optimization using derivatives _gr_37.gif] minimize optimization using derivatives _gr_38.gif] when optimization using derivatives _gr_39.gif] and optimization using derivatives _gr_40.gif]

    Solution. We want to minimize optimization using derivatives _gr_41.gif] We compute,
    
optimization using derivatives _gr_42.gif]

Thus the critical numbers are optimization using derivatives _gr_43.gif] and optimization using derivatives _gr_44.gif]. We find optimization using derivatives _gr_45.gif] and the smallest possible value to be optimization using derivatives _gr_46.gif] Thus the values are optimization using derivatives _gr_47.gif] and optimization using derivatives _gr_48.gif] optimization using derivatives _gr_49.gif]

Cite this as:
Optimization Using Derivatives
Published by Library of Math -- Online math organized by subject into topics.
Written by Smith, David A.
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