I am having trouble with the concept of convexity. This is the statement I'm trying to prove.
Let $X$ be normed vector space. If $S \subset X$ is convex and $S^\circ \neq \emptyset$ then $\partial \overline{S} = \partial S$.
Here, $S^\circ$ denotes the interior of $S$, $\overline{S}$ is the closure of $S$, and $\partial S$ is the boundary of $S$.
The definition of convexity I'm given in my textbook is as follows: The set $S \subset X$, where X is vector space, is convex if for all $x,y \in S$ and for all $t \in (0,1)$ it is true that $tx + (1-t)y \in S$.
My approach was to prove both $\partial \overline{S} \subset \partial S$ and $\partial \overline{S} \supset \partial S$. I had no trouble with the first, as I didn't need to use convexity at all. However, I cannot figure out how to prove the other. I've tried it like this:
Let $x$ be in $\partial S$. In order to prove that $x \in \partial \overline{S}$, we must show (by definition of boundary given in my textbook) that for all $\varepsilon>0$ the open ball $B(x,\varepsilon)$ intersects with both set $\overline{S}$ and its complement $X\setminus \overline{S}$.
Yet again I hit a dead end trying to prove the second one, because I do not understand how convexity plays into it. (I have some sort of intuitive understanding of why the initial statement holds true, but I can't quite figure out how prove it.)
Perhaps some other approach is best instead. I would appreciate any help!