f(x,y)= (x^2 -y^2) e^((-x^2 -y^2)/2) Find absolute minima or maxima and saddle point
Find partial x and partial y
thnx but i amlookig for help
LOL, but for real, that is how you do it, for example this is what i got for partial x: \[xe ^{(-x-y^2)/(2)}(-x^2+y^2+2)\]
The for partial y i got: \[ye ^{(-x^2-y^2)/(2)}(-x^2+y^2-2)\]
Now we have to set both partial derivaitves to zero
f of x is 2x e^(-x^2 -y^2)/2 + (x^2 -y^2)e^(-x^2 -y^2 /2) (-x)
okay, that is what i have expecet that from what you got, we can factor out an:\[xe ^{(-x^2-y^2)/(2)}\]
and for partial y you will also be able to factor out: \[ye ^{(-x^2-y^2)/(2)}\]
ok thanx
Then we should notice that, for both partial derivaitves, x and y=0 will make the derivaitve 0
but there are still yet more critical points to find
hm i get it.
no i dont think you do let me continue
i will solve therest thanx
so, what we can do is plug in x=0 into the partial y derivative (or vice versa, we could plug in the y=0 into the partial x dreivaitve), and we should end up with: \[ye^ {-y^2/2}(y^2-2)\]
notice here that we get another zero, y=plus or minus sqrt(2)
We can then say that, y=plus or minus sqrt(2), will may partial y 0 when x=0. Thus plus or minus sqrt(2) makes partial x =0. So, (0, -sqrt(2)) and (0,sqrt(2) makes partial y and partial x 0
Now we can repeat this process using partial x, and we should end up with: \[xe^{-x^2/2}(-x^2+2)\]
This will yield, two more critical points, (sqrt(2),0) and (-sqrt(2),0)
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