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From a picture in $\mathbb{R}^2$, say a square $[0, 1]\times [0, 1]$, the lower envelope of the square is $[0, 1]\times 0$ and can be seen as a continuous function over $[0, 1]$. I wonder if there exists a general theorem proving this intuition or there exist some examples showing things might go wrong. Thanks in advance.

  • Pardon my ignorance: How is the lower envelope of a set defined? I know only the lower envelope of a function. – Martin R Oct 28 '20 at 08:16
  • Hi, for a compact convex set $S\subset\mathbb{R}^2$, one defines $f(x)=\min(y: (x, y)\in S)$ as its lower convex envelope, where the range of $x$ is determined by the set. – Chasel Weng Oct 28 '20 at 23:33
  • I have tried to answer your question. Please let me know if anything is still unclear. – Martin R Feb 03 '24 at 11:23

1 Answers1

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For a compact and connected set $S \subset \Bbb R^2$ the projection of $S$ onto the x-axis is a compact interval $[a, b] \subset \Bbb R$, and one can define the lower envelope of $S$ as the function $$ f: [a, b] \to \Bbb R, f(x) = \min \{ y \mid (x, y) \in S \} \, . $$

$f$ is not necessarily continuous, but in the case of a convex set $S$ it is. Here is a proof in three steps. (We can exclude the degenerate case by assuming that $a < b$).

Step 1. $f$ is lower semi-continuous, i.e. $$ \liminf_{x \to x_0} f(x) \ge f(x_0) $$ for all $x_0 \in [a, b]$.

Proof: If $x_0 \in [a, b]$ and $(x_n)$ is a sequence in $[a, b]\setminus \{ x_0 \}$ with $x_n \to x_0$ and $f(x_n) \to \liminf_{x \to x_0} f(x)$ then $$ \forall n: (x_n, f(x_n)) \in K \implies (x_0, \liminf_{x \to x_0} f(x)) \in K $$ and that implies $f(x_0) \le \liminf_{x \to x_0} f(x)$.

Step 2. If, in addition, $S$ is convex, then $f$ is convex.

Proof: Consider $x, y \in [a, b]$ with $x < y$. Then $(x, f(y)) \in S$ and $(x, f(y)) \in S$, so that for $0 < \lambda < 1$ $$ ((1-\lambda)x + \lambda y, (1-\lambda)f(x) + \lambda f(y)) \in S $$ and that implies $$ f((1-\lambda)x + \lambda y) \le (1-\lambda)f(x) + \lambda f(y) \, . $$

Remark: It is known this implies that $f$ is continuous on $(a, b)$, but that does not help at the boundary points.

Step 3. A convex function $f: [a, b] \to \Bbb R$ is upper semi-continuous, i.e. $$ \limsup_{x \to x_0} f(x) \le f(x_0) $$ for all $x_0 \in [a, b]$.

Proof: Let $a \le x_0 < x_1 \le b$. Then $$ f(x) \le \frac{x_1-x}{x_1-x_0}f(x_0) + \frac{x-x_0}{x_1-x_0}f(x_1) $$ for $x_0 < x < x_1$, and that implies $$ \limsup_{x \to x_0+} f(x) \le f(x_0) $$ and $$ \limsup_{x \to x_1-} f(x) \le f(x_0) \, . $$

Combining these three results, we see that if $S$ is compact and convex then its lower envelope function is both upper and lower semicontinuous, and therefore continuous.

Martin R
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  • Hi, I know a convex function is continuous on the interior of a closed interval. My problem is actually the continuity at the boundaries. For a compact convex set, I think it should have some results regarding this. Thanks anyway. – Chasel Weng Oct 29 '20 at 12:26
  • Hi, Martin, could you provide me some reference? Thank you in advance. – Chasel Weng Oct 31 '20 at 03:04
  • @ChaselWeng: You were right. Please check the updated answer. – Martin R Nov 01 '20 at 10:22