00:01
To find the local maxima, local minima, and saddle points of f, we will find the critical points of f.
00:09
Okay, so these are the points where the partial derivative of f with respect to x is equal to zero, and at the same time the partial derivative with respect to y is equal to zero.
00:21
Okay, so these partial derivatives we get by differentiating the function with respect to one variable while holding the other variable constant.
00:31
Okay, so the partial derivative with respect to x is equal to 2x plus y plus 4.
00:37
The partial derivative with respect to y is equal to x plus 2.
00:44
So let's set both of these equal to zero and solve for x and y.
00:48
Using the second equation, i see that x is equal to negative 2, so we'll plug that in and we have negative 4 plus y plus 4 equals zero.
00:58
Negative 4 plus 4 is zero, so we get y equals zero.
01:04
So there is only one critical point, it is negative 2, 0.
01:11
To classify this point, we will use the discriminant...