Sampling convex bodies: a random matrix approach

Author:

Aubrun Guillaume

Abstract

We prove the following result: for any ε > 0 \varepsilon >0 , only C ( ε ) n C(\varepsilon )n sample points are enough to obtain ( 1 + ε ) (1+\varepsilon ) -approximation of the inertia ellipsoid of an unconditional convex body in R n \mathbf {R}^n . Moreover, for any ρ > 1 \rho >1 , already ρ n \rho n sample points give isomorphic approximation of the inertia ellipsoid. The proofs rely on an adaptation of the moments method from Random Matrix Theory.

Publisher

American Mathematical Society (AMS)

Subject

Applied Mathematics,General Mathematics

Reference23 articles.

1. G. Aubrun. Random points in the unit ball of ℓ_{𝑝}ⁿ. Positivity, to appear.

2. Limit of the smallest eigenvalue of a large-dimensional sample covariance matrix;Bai, Z. D.;Ann. Probab.,1993

3. The subindependence of coordinate slabs in 𝑙ⁿ_{𝑝} balls;Ball, Keith;Israel J. Math.,1998

4. Large deviations of typical linear functionals on a convex body with unconditional basis;Bobkov, Sergey G.,2003

5. The Brunn-Minkowski inequality in Gauss space;Borell, Christer;Invent. Math.,1975

Cited by 19 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Approximation of the average of some random matrices;Journal of Functional Analysis;2020-10

2. Covariance Matrix Estimation From Linearly-Correlated Gaussian Samples;IEEE Transactions on Signal Processing;2019-04-15

3. Sharp nonasymptotic bounds on the norm of random matrices with independent entries;The Annals of Probability;2016-07-01

4. Heavy-Tailed Independent Component Analysis;2015 IEEE 56th Annual Symposium on Foundations of Computer Science;2015-10

5. On the singular values of random matrices;Journal of the European Mathematical Society;2014

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3