00:01
So, starting with our function, right, we have f of x, y, z, which is x squared, y, z minus x, y, z cubed.
00:17
Well, the gradient of f is just a vector, which i usually use with the angle brackets, but you can use i, j, k, or whatever you want, which is the partial of f with respect to x, partial of f with respect to y, partial of f with respect to z.
00:39
So let's go back here.
00:42
Partial of f with respect to x is going to be 2xyz minus yz cubed.
00:53
Partial of f with respect to y is x squared z minus xz cubed, and then partial of f, let's say, is x squared y minus xy.
01:12
Oh, no, that's not right.
01:16
I'm sorry, i messed up that last one.
01:19
Is x, yeah, right, xy minus 3xyz squared.
01:33
All right.
01:35
Okay, so now let's go ahead and plug in, because i think this next one they ask is to, well, i'm sorry, i guess we actually need to put this in vector form first.
01:46
We're just about done.
01:48
So 2xyz minus yz cubed, x squared z minus xz cubed, x squared y minus 3xyz squared.
02:08
Okay.
02:09
All right, now they ask us to evaluate it at the point 1, 2, negative 1.
02:14
So this is part 2.
02:16
This was part 1...