In Section 2.5.2 of Boyd & Vandenberghe's Convex Optimization, the authors claim that
a convex set in $\mathbb{R}^n$ with empty interior must lie in an affine set of dimension less than $n$.
Can someone provide some intuitive explanations of what this means?