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Do Minkowski averages get progressively more convex?

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arxiv 1512.03718 v2 pith:WH2SDJMS submitted 2015-12-05 math.MG math.FAmath.OC

Do Minkowski averages get progressively more convex?

classification math.MG math.FAmath.OC
keywords monotonicityaveragescdotsconvergenceconvexdeficitdistancefrac
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abstract

Let us define, for a compact set $A \subset \mathbb{R}^n$, the Minkowski averages of $A$: $$ A(k) = \left\{\frac{a_1+\cdots +a_k}{k} : a_1, \ldots, a_k\in A\right\}=\frac{1}{k}\Big(\underset{k\ {\rm times}}{\underbrace{A + \cdots + A}}\Big). $$ We study the monotonicity of the convergence of $A(k)$ towards the convex hull of $A$, when considering the Hausdorff distance, the volume deficit and a non-convexity index of Schneider as measures of convergence. For the volume deficit, we show that monotonicity fails in general, thus disproving a conjecture of Bobkov, Madiman and Wang. For Schneider's non-convexity index, we prove that a strong form of monotonicity holds, and for the Hausdorff distance, we establish that the sequence is eventually nonincreasing.

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