Hostname: page-component-848d4c4894-89wxm Total loading time: 0 Render date: 2024-07-06T11:38:40.617Z Has data issue: false hasContentIssue false

Intrinsic volumes of inscribed random polytopes in smooth convex bodies

Published online by Cambridge University Press:  01 July 2016

I. Bárány*
Affiliation:
Alfréd Rényi Institute of Mathematics and University College London
F. Fodor*
Affiliation:
University of Szeged and University of Calgary
V. Vígh*
Affiliation:
University of Szeged
*
Postal address: Department of Mathematics, University College London, Gower Street, London, WC1E 6BT, UK. Email address: barany@renyi.hu
∗∗ Postal address: Department of Geometry, University of Szeged, Aradi vértanúk tere 1, H-6720 Szeged, Hungary. Email address: fodorf@math.u-szeged.hu
∗∗∗ Postal address: Bolyai Institute, University of Szeged, Aradi vértanúk tere 1, H-6720 Szeged, Hungary. Email address: vigvik@math.u-szeged.hu
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

Let K be a d-dimensional convex body with a twice continuously differentiable boundary and everywhere positive Gauss-Kronecker curvature. Denote by Kn the convex hull of n points chosen randomly and independently from K according to the uniform distribution. Matching lower and upper bounds are obtained for the orders of magnitude of the variances of the sth intrinsic volumes Vs(Kn) of Kn for s ∈ {1,…,d}. Furthermore, strong laws of large numbers are proved for the intrinsic volumes of Kn. The essential tools are the economic cap covering theorem of Bárány and Larman, and the Efron-Stein jackknife inequality.

Type
Stochastic Geometry and Statistical Applications
Copyright
Copyright © Applied Probability Trust 2010 

Footnotes

Supported by Hungarian OTKA grant 60427.

Supported by Hungarian OTKA grants 68398 and 75016, and by the János Bolyai Research Scholarship of the Hungarian Academy of Sciences.

Supported by Hungarian OTKA grant 75016.

References

Bárány, I. (1989). Intrinsic volumes and f-vectors of random polytopes. Math. Ann. 285, 671699.Google Scholar
Bárány, I. (1992). Random polytopes in smooth convex bodies. Mathematika 39, 8192. (Correction: 51 (2004), 31.)Google Scholar
Bárány, I. (2004). Random polytopes, convex bodies, and approximation. In Stochastic Geometry (Lecture Notes Math. 1892), eds Baddeley, A. et al. Springer, Berlin.Google Scholar
Bárány, I. (2008). Random points and lattice points in convex bodies. Bull. Amer. Math. Soc. 45, 339365.Google Scholar
Bárány, I. and Dalla, L. (1997). Few points to generate a random polytope. Mathematika 44, 325331.Google Scholar
Bárány, I. and Larman, D. G. (1988). Convex bodies, economic cap coverings, random polytopes. Mathematika 35, 274291.Google Scholar
Bárány, I. and Reitzner, M. (2010). On the variance of random polytopes. To appear in Adv. Math. Google Scholar
Bárány, I. and Reitzner, M. (2010). Poisson polytopes. Ann. Prob. 38, 15071531.Google Scholar
Böröczky, K. J., Fodor, F., Reitzner, M. and Vígh, V. (2009). Mean width of random polytopes in a reasonably smooth convex body. J. Multivariate Anal. 100, 22872295.Google Scholar
Efron, B. (1965). The convex hull of a random set of points. Biometrika 52, 331343.Google Scholar
Efron, B. and Stein, C. (1981). The Jackknife estimate of variance. Ann. Statist. 9, 586596.Google Scholar
Küfer, K.-H. (1994). On the approximation of a ball by random polytopes. Adv. Appl. Prob. 26, 876892.Google Scholar
Reitzner, M. (2003). Random polytopes and the Efron–Stein Jackknife inequality. Ann. Prob. 31, 21362166.Google Scholar
Reitzner, M. (2004). Stochastic approximation of smooth convex bodies. Mathematika 51, 1129.Google Scholar
Reitzner, M. (2005). Central limit theorems for random polytopes. Prob. Theory Relat. Fields 133, 483507.CrossRefGoogle Scholar
Schneider, R. (1993). Convex Bodies: the Brunn–Minkowski Theory. Cambridge University Press.CrossRefGoogle Scholar
Schneider, R. and Weil, W. (2008). Stochastic and Integral Geometry. Springer, Berlin.Google Scholar
Schreiber, T. and Yukich, J. E. (2008). Variance asymptotics and central limit theorems for generalized growth processes with applications to convex hulls and maximal points. Ann. Prob. 36, 363396.Google Scholar
Vu, V. (2006). Central limit theorems for random polytopes in a smooth convex set. Adv. Math. 207, 221243.Google Scholar
Weil, W. and Wieacker, J. A. (1993). Stochastic geometry. In Handbook of Convex Geometry, eds Gruber, P. M. and Wills, J. M., North-Holland, Amsterdam, pp. 13911438.Google Scholar