- 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.
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To recap:
If is a continuous function on a closed and bounded region in the
-plane, then has a global maximum and minimum value.
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.
Find the global maximum and global minimum of the function on the filled
in triangle with vertices , , and .
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Closed and Bounded Regions
Using your answers from the previous four problems, given a continuous
function , on which regions are the global maximum and minimum of
guaranteed to exist? Select all that apply.
Problems
Find the global maximum value of the function on the square , .
Steps:
- The critical points inside the region are where (or is undefined). Here, The point where is: . This point isis not 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:
Consider the function on the triangle given by , , . The global maximum
value is: and the global minimum is: