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Diameters of sections and coverings of convex bodies

机译:凸体的截面和覆盖层的直径

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We study the diameters of sections of convex bodies in RN determined by a random N x n matrix Gamma, either as kernels of Gamma* or as images of Gamma. Entries of Gamma are independent random variables satisfying some boundedness conditions, and typical examples are matrices with Gaussian or Bernoulli random variables. We show that if a symmetric convex body K in R-N has one well bounded k-codimensional section, then for any m > ck random sections of K of codimension m are also well bounded, where c >= 1 is an absolute constant. It is noteworthy that in the Gaussian case, when Gamma determines randomness in sense of the Haar measure on the Grassmann manifold, we can take c = 1. (c) 2005 Elsevier Inc. All rights reserved.
机译:我们研究由随机N x n矩阵Gamma决定的RN中凸体截面的直径,该矩阵既可以作为Gamma *的核,也可以作为Gamma的图像。 Gamma项是满足某些有界条件的独立随机变量,典型示例是具有高斯或Bernoulli随机变量的矩阵。我们表明,如果R-N中的对称凸体K具有一个边界良好的k轴维截面,那么对于任何m> ck个余维m的K随机截面也都具有边界,其中c> = 1是绝对常数。值得注意的是,在高斯情况下,当Gamma根据格拉斯曼流形上的Haar测度确定随机性时,我们可以取c =1。(c)2005 Elsevier Inc.保留所有权利。

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