- 1.
- Understand when global maxima of a function on a region in the -plane are guaranteed to exist.
- 2.
- Given a closed and bounded region in the -plane, know how to determine the global maximum and minimum of a continuous function on the region.
Recap Video
The following video recaps the ideas of the section.
To recap:
Procedure 1. Let be a closed and bounded region in the -plane, and let be a continuous function. To find the global maximum/minimum value of on :
- First find critical points on the interior of (assuming this is part of the region) by setting or finding points where the gradient is undefined.
- On the boundary curves of , reduce the problem to one variable by finding a relationship among and (or parametrizing the curves) and plugging it into to get a one variable function. Remember to include an interval for your one variable.
- For each of the boundary curves of , find the critical points of your one variable functions on the intervals you found in step 2.
- Once you have accumulated all your critical points, plug them into to figure out the biggest/smallest value.
Example Video
The following video works through an example of finding global extrema.
Closed and Bounded Regions
Problems
- The critical points inside the region are where (or is undefined).
Here,
The point where is: . This point in the region.
- We have four boundary curves to check. Let’s check first. Plugging in into the function gives and an interval for is: . The derivative of this one variable function with respect to is: This is zero when which means that is a critical point. We also have the endpoints, which gives two more points: and .
- Now let’s look at a different boundary curve, say . Plugging into the function gives The derivative of this one variable function with respect to is which is zero when . This gives a critical point , which is not in the region, so we disregard it. Again, we take endpoints: and , which gives the two points and (notice is a repeat).
- Repeat for the remaining two boundary curves. All critical points accumulated at the end are:
- Plugging all these critical points into the function shows there is a maximum value of: