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arXiv math/9904184math.PRmath-phmath.MP
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平均场格树

Mean-field lattice trees

Christian Borgs, Jennifer Chayes, Remco van der Hofstad, Gordon Slade

摘要:

我们引入了一个平均场模型的格树嵌入到$\Z^d$的抽象树具有临界泊松后代分布。这个模型为Derbez和Slade先前引入的自洽平均场模型提供了一种组合解释,并为Aldous的工作提供了另一种方法。平均场模型的标度极限是在所有维度上的积分超布朗偏移(ISE)。我们还介绍了一个模型的弱自避免格树,其中嵌入树收到的惩罚$e^{-β}$为每个自相交。弱自避免格树提供了平均场模型($β=0$)和严格自避免格树($β=\infty$)的通常模型之间的自然插值,该模型将一致测度与相同大小的格树集合相关联。

英文摘要:

We introduce a mean-field model of lattice trees based on embeddings into $\Z^d$ of abstract trees having a critical Poisson offspring distribution. This model provides a combinatorial interpretation for the self-consistent mean-field model introduced previously by Derbez and Slade, and provides an alternate approach to work of Aldous. The scaling limit of the mean-field model is integrated super-Brownian excursion (ISE), in all dimensions. We also introduce a model of weakly self-avoiding lattice trees, in which an embedded tree receives a penalty $e^{-β}$ for each self-intersection. The weakly self-avoiding lattice trees provide a natural interpolation between the mean-field model ($β=0$), and the usual model of strictly self-avoiding lattice trees ($β=\infty$) which associates the uniform measure to the set of lattice trees of the same size.

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