This is the equation: $$f(x,y) = xye^\left(-\frac{1}{2}(x^2 + y^2)\right)$$ This is what I've done: $$\nabla f(x,y) = \begin{bmatrix} (1-x^2)ye^\left(-\frac{1}{2}(x^2 + y^2)\right) \\ (1-y^2)xe^\left(-\frac{1}{2}(x^2 + y^2)\right) \end{bmatrix}$$ Here's the thing I'm worried about, to find when $\nabla f(x,y) = 0$, i set each equation $= 0$. $$\begin{align} (1-x^2)ye^\left(-\frac{1}{2}(x^2 + y^2)\right) &= 0 \\ y e^\left(-\frac{1}{2}(x^2 + y^2)\right) &= x^2ye^\left(-\frac{1}{2}(x^2 + y^2)\right) \\ 1 &= x^2 \\ x &= \pm 1\end{align} $$ Is this legal, or do i lose some solutions when I divide away everything?
2026-03-27 21:23:02.1774646582
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Finding extremal points on $f(x,y)$
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For another approach, to avoid slogging through the partial derivates, we can exploit the symmetry of $f$. If we switch to polar coordinates, we have
$f(r,t) = xye^\left(-\frac{1}{2}(x^2 + y^2)\right)=\frac{r^{2}}{2}\sin 2t\cdot e^\left (-\frac{1}{2}(r^2)\right).$
Inspection shows that $f$ has extrema at $t=\frac{\pi}{4}, \frac{3\pi}{4}, \frac{5\pi}{4}\ $ and $\frac{7\pi}{4},\ $ and in each case $f(r,t)=\pm \frac{r^{2}}{2}e^\left (-\frac{1}{2}(r^2)\right).$ Now it's an easy Calc I exercise to show that $f$ has a local maximum at $r=\sqrt 2,t=\frac{\pi}{4},\ $ or $x=1,y=1,\ $ and using the symmetry of $f$ again, we can read off the other local max, and the two local mins.
Dividing by $y$ is one of the problematic steps. Just start with the partial derivative, and divide by the exponential term (which is never zero) to get $(1-x^2)y=0$. From here you see either $1-x^2=0$ or $y=0$, from which you get $x=\pm 1$ or $y=0$.
If you do this for the other partial derivative you get $y \pm 1$ or $x=0$. Combine this with the above to gather all the critical points.