Hostname: page-component-76fb5796d-r6qrq Total loading time: 0 Render date: 2024-04-27T02:55:09.431Z Has data issue: false hasContentIssue false

On the Volume of the Zero Cell of a Class of Isotropic Poisson Hyperplane Tessellations

Published online by Cambridge University Press:  22 February 2016

Julia Hörrmann*
Affiliation:
Karlsruhe Institute of Technology
Daniel Hug*
Affiliation:
Karlsruhe Institute of Technology
*
Postal address: Department of Mathematics, Karlsruhe Institute of Technology, D-76128 Karlsruhe, Germany.
Postal address: Department of Mathematics, Karlsruhe Institute of Technology, D-76128 Karlsruhe, Germany.
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.

We study a parametric class of isotropic but not necessarily stationary Poisson hyperplane tessellations in n-dimensional Euclidean space. Our focus is on the volume of the zero cell, i.e. the cell containing the origin. As a main result, we obtain an explicit formula for the variance of the volume of the zero cell in arbitrary dimensions. From this formula we deduce the asymptotic behaviour of the volume of the zero cell as the dimension goes to ∞.

Type
Stochastic Geometry and Statistical Applications
Copyright
© Applied Probability Trust 

References

Alishahi, K. and Sharifitabar, M. (2008). “Volume degeneracy of the typical cell and the chord length distribution for Poisson–Voronoi tessellations in high dimensions. Adv. Appl. Prob. 40, 919938.CrossRefGoogle Scholar
Artin, E. (1964). “The Gamma Function.” Holt, Rinehart and Winston, New York.Google Scholar
Bárány, I. (2008). “Random points and lattice points in convex bodies. Bull. Amer. Math. Soc. (N.S.) 45, 339365.CrossRefGoogle Scholar
Calka, P. (2010). “Tessellations.“In New Perspectives in Stochastic Geometry, eds Kendall, W. S. and Molchanov, I., Oxford University Press, pp. 145169.Google Scholar
Federer, H. (1969). “Geometric Measure Theory.” Springer, New York.Google Scholar
Hilhorst, H. J. and Calka, P. (2008). “Random line tessellations of the plane: statistical properties of many-sided cells.” J. Statist. Phys. 132, 627647.CrossRefGoogle Scholar
Hug, D. (2007). “Random mosaics.“In Stochastic Geometry (Lecture Notes Math. 1892), ed. Weil, W., Springer, Berlin, pp. 247266.Google Scholar
Hug, D. and Schneider, R. (2007). “Asymptotic shapes of large cells in random tessellations.” Geom. Funct. Anal. 17, 156191.CrossRefGoogle Scholar
Hug, D. and Schneider, R. (2010). “Large faces in Poisson hyperplane mosaics. Ann. Prob. 38, 13201344.CrossRefGoogle Scholar
Hug, D., Reitzner, M. and Schneider, R. (2004). “The limit shape of the zero cell in a stationary Poisson hyperplane tessellation. Ann. Prob. 32, 11401167.CrossRefGoogle Scholar
Mecke, J. (1998). “Inequalities for mixed stationary Poisson hyperplane tessellations. Adv. Appl. Prob. 30, 921928.Google Scholar
Mecke, J. (1999). “On the relationship between the 0-cell and the typical cell of a stationary random tessellation.” Pattern Recogn. 32, 16451648.Google Scholar
Møller, J. (1994). “Lectures on Random Voronoıˇ Tessellations” (Lecture Notes Statist. 87). Springer, New York.Google Scholar
Muche, L. (2010). “Contact and chord length distribution functions of the Poisson–Voronoi tessellation in high dimensions. Adv. Appl. Prob. 42, 4868.CrossRefGoogle Scholar
Muche, L. and Ballani, F. (2011). “The second volume moment of the typical cell and higher moments of edge lengths of the spatial Poisson–Voronoi tessellation.” Monatsh. Math. 163, 7180.Google Scholar
Müller, C. (1998). Analysis of Spherical Symmetries in Euclidean Spaces (Appl. Math. Sci. 129).“Springer, New York.CrossRefGoogle Scholar
Newman, C. M. and Rinott, Y. (1985). “Nearest neighbors and Voronoıˇ volumes in high-dimensional point processes with various distance functions. Adv. Appl. Prob. 17, 794809.CrossRefGoogle Scholar
Newman, C. M., Rinott, Y. and Tversky, A. (1983). “Nearest neighbors and Voronoıˇ regions in certain point processes. Adv. Appl. Prob. 15, 726751.Google Scholar
Okabe, A., Boots, B., Sugihara, K. and Chiu, S. N. (2000). Spatial Tessellations: Concepts and Applications of Voronoi Diagrams, 2nd edn. John Wiley, Chichester.Google Scholar
Reitzner, M. (2010). “Random Polytopes.“In New Perspectives in Stochastic Geometry, eds Kendall, W. S. and Molchanov, I., Oxford University Press, pp. 4576.Google Scholar
Schneider, R. (2003). “Nonstationary Poisson hyperplanes and their induced tessellations. Adv. Appl. Prob. 35, 139158.Google Scholar
Schneider, R. (2008). “Recent results on random polytopes.” Boll. Unione. Mat. Ital. 1, 1739.Google Scholar
Schneider, R. and Weil, W. (2008). “Stochastic and Integral Geometry.” Springer, Berlin.Google Scholar
Spodarev, E. (ed.) (2013). “Stochastic Geometry, Spatial Statistics and Random Fields” (Lecture Notes Math. 2068). Springer, Berlin.Google Scholar
Stoyan, D., Kendall, W. S. and Mecke, J. (1995). “Stochastic Geometry and Its Applications. 2nd edn.John Wiley, Chichester.Google Scholar
Whittaker, E. T. and Watson, G. N. (1996). ‘A Course of Modern Analysis. Reprint of the 4th (1927) edn.” Cambridge University Press.Google Scholar
Yao, Y.-C. (2010). “On variances of partial volumes of the typical cell of a Poisson–Voronoi tessellation and large-dimensional volume degeneracy. Adv. Appl. Prob. 42, 359370.Google Scholar