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Mathematics 19 Online
OpenStudy (anonymous):

Multivariable Calc Question: Hi all! I'm having issues finding the critical points of the following function. I've figured out the partial derivatives and set them to zero, but I don't know where to go from there. I'll attach the problem and my attempt at a solution in the comments. find and classify the critical points of\[\large f(x,y)=(x^2-y^2)e^{-x^2-y^2}\]

OpenStudy (anonymous):

Here the problem:

OpenStudy (anonymous):

For the partial derivatives I got that: \[\frac{ \delta f }{ \delta x } = x(x^2 - y^2 + 1) e^(-x^2) \] \[\frac{ \delta f }{ \delta y } = y(y^2-x^2+1)e^(-y^2)\]

OpenStudy (turingtest):

those partials aren't right...

OpenStudy (anonymous):

oops I guess that's why I'm getting nowhere...

OpenStudy (turingtest):

\[f(x,y)=(x^2-y^2)e^{-x^2-y^2}\]\[{\partial f\over\partial x}=2xe^{-x^2-y^2}+(x^2-y^2)(-2x)e^{-x^2-y^2}\]

OpenStudy (turingtest):

do you see your mistake? you didn't let u=-x^2-y^2 effectively

OpenStudy (anonymous):

yeah I think so. Let me try that again with df/dy.

OpenStudy (turingtest):

good idea

OpenStudy (anonymous):

ok here goes:\[\frac{ \delta f }{ \delta y } = -2ye ^{-x^2 - y^2} - 2y(x^2 - y^2)e^{-x^2-y^2}\]

OpenStudy (turingtest):

yep :) so there are two solutions to each, what are they?

OpenStudy (anonymous):

well, since e^(anything) can never be zero...

OpenStudy (anonymous):

x=0 is a solution

OpenStudy (anonymous):

and \[x = \sqrt{y^2 - 1}\] is the other solution?

OpenStudy (turingtest):

\[x=\sqrt{y^2+1}\], no?

OpenStudy (anonymous):

oh right right I was looking at df/dy sorry

OpenStudy (anonymous):

so yeah x is 0 or sqrt(y^2 + 1)

OpenStudy (anonymous):

and if you look at dy then y = 0 or sqrt(x^2 + 1) ?

OpenStudy (turingtest):

right, now here I have to do some refreshing, but basically we need to start solving the system\[f_x=0\\f_y=0\] because those values of x,y will be our critical points

OpenStudy (anonymous):

I know that part. I'm just not sure how to solve the system at this point.

OpenStudy (turingtest):

{0,0} we can say is a critical point right away, for the others we have to solve the system using sustitution

OpenStudy (anonymous):

should we plug in one value of x and then plug in the other value?

OpenStudy (anonymous):

and yeah the origin is definitely a critical point

OpenStudy (turingtest):

yes, plug \[x=\sqrt{1+y^2}\]into \(f_x=0\)

OpenStudy (anonymous):

wait but didn't we originally derive that value of x from f subx? Shouldn't we plug it into f sub y?

OpenStudy (turingtest):

oh yeah, sorry :P

OpenStudy (anonymous):

ah ok in that case...

OpenStudy (anonymous):

we get.... y = 0?

OpenStudy (anonymous):

x = 1?

OpenStudy (turingtest):

let me check, one sec

OpenStudy (anonymous):

and the other solution if you plug the other way around is (0,1)

OpenStudy (turingtest):

I think I've confused myself... I'm getting only y=0 again

OpenStudy (anonymous):

I took the value we got for x and plugged it into fy then I did the opposite, plugging in the value for y into fx

OpenStudy (anonymous):

the first resulted in (1,0) and the other resulted in (0,1)

OpenStudy (turingtest):

\[f_x=0\implies x=\{0,\sqrt{1+y^2}\}\]\[f_y=-2ye^{-x^2-y^2}(1+x^2-y^2)\]

OpenStudy (turingtest):

\[f_y(\sqrt{1+y^2})=-2ye^{-1-2y^2}(1+1+y^2-y^2)=-4ye^{-1-2y^2}\]did I make a mistake?

OpenStudy (turingtest):

oh I see what you are saying.... so this gives (1,0) and the other gives (0,1) I'm slow today :P

OpenStudy (anonymous):

yeah I think so. Unless I screwed up royally.

OpenStudy (turingtest):

no you are right

OpenStudy (anonymous):

ok sweet. So the critical points are (0,0), (1,0), and (0,1)

OpenStudy (anonymous):

now to determine the max/min/saddle of each...

OpenStudy (turingtest):

there is that formula involving the second derivatives....

OpenStudy (anonymous):

need the determinant thing

OpenStudy (anonymous):

fxx*fyy - (fxy)^2

OpenStudy (anonymous):

if that determinant is negative, it's a saddle

OpenStudy (turingtest):

yeah that one pretty formulaic from here

OpenStudy (anonymous):

otherwise, if fxx is positive it's a local min and if it's negative it's a local max. thank you so much!

OpenStudy (turingtest):

oh hey wait, we missed two solutions...

OpenStudy (anonymous):

wha....

OpenStudy (anonymous):

>.<

OpenStudy (turingtest):

wolfram says that (0,-1) and (-1, 0) are also critical

OpenStudy (turingtest):

where did we lose a sign ambiguity?

OpenStudy (anonymous):

well, almost everything in this problem is squared so....that's probably why.

OpenStudy (turingtest):

yeah I know it's some small mistake like that, but I guess since it's your problem I'll leave it top you to hunt down specifically, unless it jumps out at me

OpenStudy (anonymous):

Thanks anyway! This was VERY helpful

OpenStudy (turingtest):

Thanks for the review :)

OpenStudy (turingtest):

it jumped out at me :D if you're still there

OpenStudy (turingtest):

\[f_y(0)=-2ye^{-y^2}(1-y^2)\]now we have already considered the solution y=0, x=0 so here we assume that y is NOT zero, and wind up solving\[1-y^2=0\]from where we get our sign ambiguity

OpenStudy (turingtest):

same argument goes for \(f_x(0)\)

OpenStudy (anonymous):

Oh there we go makes sense. Molte grazie! Allons-y!

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