If for every linear mapping image of convex set is compact then this set is compact

compactnessgeneral-topologyreal-analysis

I have to answer the question: Is it true that if $K$ is convex subset of $\mathbb{R}^n$ and for every linear mapping from $\mathbb{R}^n$ to $\mathbb{R}$ image of $K$ is a compact interval, then $K$ is compact?

It's obvious that this set is bounded but I have a problem with closedness.

I tried to prove it using sequentially compact property, but I don't think it is a good way to do that. Thanks for any advices.

Best Answer

As Matt pointed out the closure of $K$ is a topological fact. If you want a more analytic approach then you could reason as follows: $K$ is closed if and only if given a converging sequence $\{x_n \}_n$ of points in the interior of $K$ then the limit of the sequence $y$ is still in $K$. Using that $K$ is convex we see that without loss of generality this sequence (hence the limit $y$) lies on a line $l$. Then we can consider the orthogonal projection $L \colon\mathbb{R}^n\rightarrow l$: by continuity $\{L(x_n) \}$ converges to $L(y)$ and since the image $L(K)$ is compact it must be a closed subset of $l \cong \mathbb{R}$, therefore $L(y) \in L(K)$ but so we obtain a contradiction.

I tried to use arguments more familiar to analysis but the core of the proof is topology.

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