Approximating a convex body by a polytope using the epsilon-net theorem

Abstract: Giving a joint generalization of a result of Brazitikos, Chasapis and Hioni and results of Giannopoulos and Milman, we prove that roughly $$\left\lceil \frac{d}{(1-\vartheta)^{d}\ln\frac{1}{(1-\vartheta)^d}} \right\rceil$$ points chosen uniformly and independently from a centered convex body $K$ in ${\mathbb R}<sup>d$ yield a polytope $P$ for which $\vartheta K\subseteq P\subseteq K$ holds with large probability. The proof is simple, and relies on a combinatorial tool, the $\varepsilon$-net theorem.