Heuristic theory for many-faced d-dimensional Poisson-Voronoi cells
Abstract
We consider the d-dimensional Poisson-Voronoi tessellation and investigate the applicability of heuristic methods developed recently for two dimensions. Let pn(d) be the probability that a cell have n neighbors (be `n-faced') and mn(d) the average facedness of a cell adjacent to an n-faced cell. We obtain the leading order terms of the asymptotic large-n expansions for pn(d) and mn(3). It appears that, just as in dimension two, the Poisson-Voronoi tessellation violates Aboav's `linear law' also in dimension three. A confrontation of this statement with existing Monte Carlo work remains inconclusive. However, simulations upgraded to the level of present-day computer capacity will in principle be able to confirm (or invalidate) our theory.
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