-Skewed Maximal Spanning Forests
Abstract: The Free -Maximal Spanning Forest (FMaxSF) is a weighted generalization of the classical Free Minimal Spanning Forest (FMSF) that is able to detect nonhyperfiniteness in percolation on nonunimodular graphs. We introduce a parameterized family of invariant random spanning forests that interpolates between these models. For every finite positive value of the parameter , the construction retains many of the desired properties of FMaxSF while also admitting the finite-subtree forcing property of FMSF. We study local limits of these forests and, in particular, show that the small- limit of the wired variant coincides with FMSF if and only if , where is the threshold for the existence of heavy clusters and is the uniqueness threshold for Bernoulli percolation. Finally, we show that the Free and the Wired -Maximal Spanning Forests may coincide even if $p_h<p_u$, providing a negative answer to a question of Terlov and Timár.
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