0:00
Either.
00:02
In this problem we're asked to find all the critical points for this function and then figure out whether each is a local min, max, saddle point, or none of those things.
00:14
So to find critical points, we take the partial derivatives with respect to x and y, set them equal to zero and solve.
00:24
So we always need to start by taking the partial derivatives.
00:28
So let's take the partial derivative with respect to x and that will give us some 2x here.
00:36
The derivative of 4x with respect to x is 4.
00:40
The derivative of y squared with respect to x is just 0.
00:46
And the partial with respect to y, going back up to the top here, x squared doesn't have a y, so that's 0.
00:55
4x doesn't have a y, so that's 0.
00:58
Y squared has a partial derivative 2y.
01:04
Okay.
01:07
Now we want to set each of these equal to 0.
01:10
And then solve.
01:11
And we can do this quickly by inspection.
01:14
This first equation, the only way 2x plus 4 equals 0 is if x equals negative 2.
01:24
And the only way 2 y equals 0 is if y equals 0.
01:29
So we only have one critical point.
01:34
We have critical point, and it's at the point negative 2, comma 0.
01:42
Ok, so now all that's left is to determine whether we have local min, local max, saddle point, or neither of those.
01:50
So let's use the criterion right at the end of the chapter, the second derivative test as it's called.
02:01
So it involves the second partial derivatives...