2013
DOI: 10.1307/mmj/1363958241
|View full text |Cite
|
Sign up to set email alerts
|

Quermaßintegrals and asymptotic shape of random polytopes in an isotropic convex body

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

1
25
0
8

Year Published

2015
2015
2019
2019

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 12 publications
(34 citation statements)
references
References 26 publications
1
25
0
8
Order By: Relevance
“…For a proof of all these assertions see [12], [13], and also [9,Chapter 11]. Moreover, in the range n N e √ n , one can further check that an upper bound of the order √ log N L K holds for the volume radius of a random k-dimensional projection of a random K N (see [13,Fact 4.6]). Starting from the inequality…”
Section: Random Convex Hulls In Isotropic Convex Bodiesmentioning
confidence: 97%
See 1 more Smart Citation
“…For a proof of all these assertions see [12], [13], and also [9,Chapter 11]. Moreover, in the range n N e √ n , one can further check that an upper bound of the order √ log N L K holds for the volume radius of a random k-dimensional projection of a random K N (see [13,Fact 4.6]). Starting from the inequality…”
Section: Random Convex Hulls In Isotropic Convex Bodiesmentioning
confidence: 97%
“…, ±x N }. We provide a description of the "asymptotic shape" of M N which is parallel to the available description for K N ; this can be done with suitable modifications of the theory developed in [12] and [13]. This allows us to prove the analogue of Theorem 1.2 for this model too.…”
Section: Introductionmentioning
confidence: 99%
“…Second, one has (1.10) |K N | 1/n c 7 log(2N/n) √ n with probability greater than 1 − 1 N , where C > 0 is an absolute constant. In [14] these results were extended to the full family of quermaßintegrals W n−k (K N ) of K N . These are defined through Steiner's formula…”
Section: Introductionmentioning
confidence: 93%
“…The study of the asymptotic shape of random polytopes whose vertices have a log-concave distribution was initiated in [13] and [14]. Given an isotropic log-concave measure µ on R n , for every N n we consider N independent random points x 1 , .…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation