We find extremes of functions which model real world situations.
Optimization
Let be the length of the enclosure and the width. The total area of the enclosure is then This is called the objective function. To maximize the area, Farmer Bob should use all 2400 linear feet of fence. Since there are two horizontal strips of length and three vertical strips of length (because of the partition), we get the constraint equation: In the standard language of optimization, we can now state the problem as follows.
Maximize the objective subject to the constraint To find the maximum area, we need to eliminate one of the variables from the objective function. We use the constraint to do this. Solve the constraint for either or , whichever is easier. In this case, solving the constraint for gives We now substitute this expression of into the objective function to get Now we can find the maximum area by finding the critical numbers: which yields Note that this gives a maximum since the graph of is a parabola that opens down. To finish off the problem, we find by plugging into the constraint, which we already solved for : Finally the maximum area of the enclosure is
The optimal length is ft.
The optimal width is ft.
The maximum area is sq. ft.
The optimal length is ft.
The optimal width is ft.
The maximum area is sq. ft.
river
The optimal length is ft.
The optimal width is ft.
The maximum area is sq. ft.
If we let represent the length and width of the box, and its height, then our objective is to maximize the volume,
We have a material constraint which says that the surface area of the box should be 4800 sq. in: Solving the constraint for gives and substituting this into the objective gives: This simplifies to which has a maximum when its derivative is zero. Solving for gives so and so our answer is Plugging this into the constraint equation, we can find : The volume of the box with these dimensions is
The optimal length and width are inches.
The optimal height is inches.
The maximum volume is cubic inches.
Using the distance formula, we can see that if the comet is at a point , then its distance to the sun at is Since the comet is on the parabola , we can substitute this into the equation for giving Now, we would like to minimize . A convenient trick when minimizing a square root is to minimize the radicand. So, we want to minimize . The min occurs when the derivative is 0, so we solve for yielding which gives either The three solutions are . The corresponding -values can be found by plugging these -values into the parabola giving the three points If the comet is at then its distance to the sun is 5 million miles. If the comet is at either then the distance is Hence the minimum distance is million miles when the comet is at either of the points .
The comet is closest to the sun at two points. The x-coordinates of these points are
(in ascending order)
and .
The minimum distance is million miles.
Let be the length of the enclosure and the width. Because of the partitions, there are 3 horizontal and 3 vertical sections of fence. Hence the total amount of fence needed can be expressed as This is our objective function. Since the area of the enclosure needs to be 1600 sq. ft., we have the constraint Solving the constraint for gives . Substituting this into the objective yields The minimum value of occurs when . Solving for gives which means and so ft. Since from context, we have ft. as our solution. Plugging this value of into the constraint equation gives So the solution is for the gardener to build a square, 40 feet on a side, using a total of feet of fence.