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ON A CLASS OF GROWTH-MAXIMAL HARDCORE PROCESSES

机译:关于一类最大增长硬核过程

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摘要

Generalizing the well-known lilypond model, we introduce a growth-maximal hardcore model based on a space-time point process ψ of convex particles. Using a purely deterministic algorithm, we prove under fairly general assumptions that the model exists and is uniquely determined by ψ. Under an additional stationarity assumption, we show that the model does not percolate. Our model generalizes the lilypond model considerably even if all grains are born at the same time. In that case and under a Poisson assumption, we prove a central limit theorem in a large volume scenario.
机译:归纳众所周知的脂网模型,我们基于凸粒子的时空过程ψ引入了最大增长硬核模型。使用纯确定性算法,我们在相当普遍的假设下证明该模型存在并且由ψ唯一确定。在一个额外的平稳性假设下,我们表明该模型不会渗透。即使所有谷物都在同一时间出生,我们的模型也可以对lilypond模型进行大量推广。在那种情况下,并在泊松假设下,我们证明了在大容量情况下的中心极限定理。

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