Abstract

Let KK be an isotropic symmetric convex body in Rn{\mathbb R}^n. We show that a subspace F∈Gn,n−kF\in G_{n,n-k} of codimension k=γnk=γn, where γ∈(1/n,1)γ\in (1/\sqrt{n},1), satisfies K∩F⊆cγnLK(B2n∩F)K\cap F\subseteq \frac{c}{γ}\sqrt{n}L_K (B_2^n\cap F) with probability greater than 1−exp⁡(−n)1-\exp (-\sqrt{n}). Using a different method we study the same question for the LqL_q-centroid bodies Zq(μ)Z_q(μ) of an isotropic log-concave probability measure μμ on Rn{\mathbb R}^n. For every 1≤q≤n1\leq q\leq n and γ∈(0,1)γ\in (0,1) we show that a random subspace F∈Gn,(1−γ)nF\in G_{n,(1-γ)n} satisfies Zq(μ)∩F⊆c2(γ)q B2n∩FZ_q(μ)\cap F\subseteq c_2(γ)\sqrt{q}\,B_2^n\cap F. We also give bounds on the diameter of random projections of Zq(μ)Z_q(μ) and using them we deduce that if KK is an isotropic convex body in Rn{\mathbb R}^n then for a random subspace FF of dimension (log⁡n)4(\log n)^4 one has that all directions in FF are sub-Gaussian with constant O(log⁡2n)O(\log^2n).

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