I was given the set $M=\{(x_1,x_2)\in \mathbb{R}^2 | |x_1|^\alpha + |x_2|^\alpha \leq 1 \}$.
For which values of $\alpha$ is this set: a) closed b) compact c) convex.
What I know: if a set is closed and bounded, then it's compact. And a closed set has to contain all limit points. So whatever works for b) will have to work for a). But I can't really figure out how to apply that theory.
If $\alpha<0$, then $M$ is unbounded (in particular, it is not compact) and disconneted (in particular, it is not convex).
If $\alpha=0$, then $M=\emptyset$, which is both compact and convex.
If $\alpha>0$, then $M$ is closed ($M=f^{-1}\bigl([0,1]\bigr)$ with $f(x_1,x_2)=\lvert x_1\rvert^\alpha+\lvert x_2\rvert^\alpha$, and $f$ is continuous) and bounded; therefore it is compact. But it is convex if and only if $\alpha\geqslant1$ (if $\alpha\in(0,1)$, then $(1,0),(0,1)\in M$, but no point of the line segment joining them belongs to $M$).