Mean-field lattice trees
Christian Borgs, Jennifer Chayes, Remco van der Hofstad, Gordon Slade
Abstract
We introduce a mean-field model of lattice trees based on embeddings into 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=∞) which associates the uniform measure to the set of lattice trees of the same size.
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