Steiner symmetrization conjecture for the largest random angle

Let KK be a convex subset of Rd{\mathbb R}^d, let uu be a unit vector in Rd{\mathbb R}^d, and let SuK\mathsf{S}_uK denote the Steiner symmetrization of KK along uu. For n3n\geqslant3, write φn,K\varphi_{n,K} for the largest angle determined by nn random points in KK. Steiner symmetrization conjecture. For every natural dd, every natural n3n\geqslant3, every convex subset KK of Rd{\mathbb R}^d, every unit vector uu in Rd{\mathbb R}^d, and every c(0,π)c\in(0,\pi), one has

P(φn,SuK>c)P(φn,K>c).\operatorname{\mathsf{P}}(\varphi_{n,\mathsf{S}_uK}>c)\leqslant\operatorname{\mathsf{P}}(\varphi_{n,K}>c).

Thus Steiner symmetrization is conjectured to make the largest angle stochastically smaller. The preceding proposition establishes that Steiner symmetrization does not increase the elongation coefficient, and the conjecture asks for the corresponding finite-sample stochastic comparison; its resolution is not indicated in the source.

Sources & referencesView supporting material

Primary source

Iosif Pinelis, “Quantifying minimal non-collinearity among random points”, arXiv:1608.04455 (2016).

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