Research output: Contribution to journal › Article › peer-review
Expected volumes of gaussian polytopes, external angles, and multiple order statistics. / Kabluchko, Zakhar; Zaporozhets, Dmitry.
In: Transactions of the American Mathematical Society, Vol. 372, No. 3, 01.08.2019, p. 1709-1733.Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - Expected volumes of gaussian polytopes, external angles, and multiple order statistics
AU - Kabluchko, Zakhar
AU - Zaporozhets, Dmitry
PY - 2019/8/1
Y1 - 2019/8/1
N2 - Let X1,…,Xn be a standard normal sample in Rd . We compute exactly the expected volume of the Gaussian polytope conv [X1,…,Xn], the symmetric Gaussian polytope conv [±X1,…,±Xn], and the Gaussian zonotope [0,X1 ]+···+[0,Xn] by exploiting their connection to the regular simplex, the regular cross-polytope, and the cube with the aid of Tsirelson’s formula. The expected volumes of these random polytopes are given by essentially the same expressions as the intrinsic volumes and external angles of the regular polytopes. For all of these quantities, we obtain asymptotic formulae which are more precise than the results which were known before. More generally, we determine the expected volumes of some heteroscedastic random polytopes including conv [l1X1,…,lnXn] and conv [±l1X1,…,±lnXn], where l1,…,ln ≥ 0 are parameters, and the intrinsic volumes of the corresponding deterministic polytopes. Finally, we relate the kth intrinsic volume of the regular simplex Δn−1 to the expected maximum of independent standard Gaussian random variables ξ1,…,ξn given that the maximum has multiplicity k. Namely, we show that (Formula Presented) where ξ(1) ≤···≤ξ(n) denote the order statistics. A similar result holds for the cross-polytope if we replace ξ1,…,ξn with their absolute values.
AB - Let X1,…,Xn be a standard normal sample in Rd . We compute exactly the expected volume of the Gaussian polytope conv [X1,…,Xn], the symmetric Gaussian polytope conv [±X1,…,±Xn], and the Gaussian zonotope [0,X1 ]+···+[0,Xn] by exploiting their connection to the regular simplex, the regular cross-polytope, and the cube with the aid of Tsirelson’s formula. The expected volumes of these random polytopes are given by essentially the same expressions as the intrinsic volumes and external angles of the regular polytopes. For all of these quantities, we obtain asymptotic formulae which are more precise than the results which were known before. More generally, we determine the expected volumes of some heteroscedastic random polytopes including conv [l1X1,…,lnXn] and conv [±l1X1,…,±lnXn], where l1,…,ln ≥ 0 are parameters, and the intrinsic volumes of the corresponding deterministic polytopes. Finally, we relate the kth intrinsic volume of the regular simplex Δn−1 to the expected maximum of independent standard Gaussian random variables ξ1,…,ξn given that the maximum has multiplicity k. Namely, we show that (Formula Presented) where ξ(1) ≤···≤ξ(n) denote the order statistics. A similar result holds for the cross-polytope if we replace ξ1,…,ξn with their absolute values.
KW - Asymptotics
KW - Burgers festoon
KW - Expected volume
KW - External angles
KW - Extreme-value theory
KW - Gaussian polytope
KW - Intrinsic volumes
KW - Order statistics
KW - Regular cross-polytope
KW - Regular simplex
KW - Symmetric Gaussian polytope
UR - http://www.scopus.com/inward/record.url?scp=85071159561&partnerID=8YFLogxK
U2 - 10.1090/tran/7708
DO - 10.1090/tran/7708
M3 - Article
AN - SCOPUS:85071159561
VL - 372
SP - 1709
EP - 1733
JO - Transactions of the American Mathematical Society
JF - Transactions of the American Mathematical Society
SN - 0002-9947
IS - 3
ER -
ID: 126284730