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Gaussian Limits for Multidimensional Random Sequential Packing at Saturation

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Abstract

Consider the random sequential packing model with infinite input and in any dimension. When the input consists of non-zero volume convex solids we show that the total number of solids accepted over cubes of volume λ is asymptotically normal as λ → ∞. We provide a rate of approximation to the normal and show that the finite dimensional distributions of the packing measures converge to those of a mean zero generalized Gaussian field. The method of proof involves showing that the collection of accepted solids satisfies the weak spatial dependence condition known as stabilization.

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Correspondence to Mathew D. Penrose.

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Communicated by J.L. Lebowitz

Research partially supported by the Polish Minister of Scientific Research and Information Technology grant 1 P03A 018 28 (2005-2007)

Research supported in part by NSF grant DMS-0203720

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Schreiber, T., Penrose, M.D. & Yukich, J.E. Gaussian Limits for Multidimensional Random Sequential Packing at Saturation. Commun. Math. Phys. 272, 167–183 (2007). https://doi.org/10.1007/s00220-007-0218-2

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  • DOI: https://doi.org/10.1007/s00220-007-0218-2

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