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Limit theorem and large deviation principle for the Voronoi tessellation generated by a Gibbs point process

Published online by Cambridge University Press:  01 July 2016

Koji Kuroda*
Affiliation:
Keio University
Hideki Tanemura*
Affiliation:
Chiba University
*
Postal address: Department of Mathematics, Keio University, Hiyosi 3–14–1, Yokohama 223, Japan.
∗∗Postal address: Department of Mathematics, Chiba University, Yayoicho 1–33, Chiba 260, Japan.

Abstract

The Voronoi tessellation generated by a Gibbs point process is considered. Using the algebraic formalism of polymer expansion, the limit theorem and the large deviation principle for the number of Voronoi vertices are proved.

Type
Research Article
Copyright
Copyright © Applied Probability Trust 1992 

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References

Dobrushin, R. L. (1968a) Description of a random field by means of conditional probabilities and conditions for its regularity. Teor. Veroyat. Primenen 13, 201229.Google Scholar
Dobrushin, R. L. (1968b) A problem of uniqueness of Gibbsian random field and a problem of phase transition. Funk. Anal. Pril. 2, 4457.Google Scholar
Dobrushin, R. L. (1969) Gibbsian random fields. The general case. Funct. Anal. Appl. 3, 2228.Google Scholar
Dobrushin, R. L. and Tirozzi, B. (1977) The central limit theorem and the problem of equivalence of ensembles. Commun. Math. Phys. 54, 173192.CrossRefGoogle Scholar
Ellis, R. S. (1985) Entropy, Large Deviations and Statistical Mechanics. Springer-Verlag, New York.Google Scholar
Glimm, J. and Jaffe, A. (1985) Expansions in statistical physics. Commun. Math. Phys. 38, 613630.Google Scholar
Haitov, A. (1973) Limiting equivalence of various ensembles for one-dimensional statistical systems. Trudy Moskov Mat. Obs. 28, 215260.Google Scholar
Lanford, O. E. and Ruelle, D. (1969) Observables at infinity and states with short range correlations in statistical mechanics. Commun. Math. Phys. 13, 194215.CrossRefGoogle Scholar
Meijering, J. L. (1953) Interface area, edge length and number of vertices in crystal aggregates with random nucleation. Philips Res. Rep. 8, 270290.Google Scholar
Miles, R. E. (1970) On the homogeneous planar Poisson point process. Math. Biosci. 6, 85127.Google Scholar
Miles, R. E. and Maillardet, R. J. (1982) The basic structure of Voronoi and generalized Voronoi polygons. J. Appl. Prob. 19A, 97111.Google Scholar
Ruelle, D. (1969) Statistical Mechanics: Rigorous Results. Benjamin, New York.Google Scholar
Ruelle, D. (1970) Superstable interaction in statistical mechanics. Commun. Math. Phys. 18, 127159.CrossRefGoogle Scholar
Sinai, Ya. G. (1982) Theory of Phase Transitions: Rigorous Results. Pergamon Press, Oxford.Google Scholar
Strook, D. W. (1984) An Introduction to the theory of Large Deviations. Springer-Verlag, New York.Google Scholar
Takahashi, Y. (1985) The aspects of large deviation theory for large time. In Probabilistic Methods in Mathematical Physics , ed. Ito, K. and Ikeda, N., pp. 363385. Kinokuniya, Tokyo.Google Scholar
Tsuchikura, K. (1984) On random tessellation. Abstracts of Symposium on Markov Processes, Osaka. (In Japanese).Google Scholar