Critical exponents for a percolation model on transient graphs
Alexander Drewitz, Alexis Pr\'evost, Pierre-Fran\c{c}ois Rodriguez

TL;DR
This paper analyzes the critical behavior of a percolation model on transient graphs derived from Gaussian free fields, providing explicit critical exponents that align with non-mean-field predictions below the upper-critical dimension.
Contribution
It rigorously determines critical exponents for a percolation model on transient graphs linked to Gaussian free fields, extending understanding beyond mean-field theory.
Findings
Critical exponents are explicitly calculated.
Results apply to the 3D cubic lattice.
Exponents are consistent with non-mean-field scaling theory.
Abstract
We consider the bond percolation problem on a transient weighted graph induced by the excursion sets of the Gaussian free field on the corresponding cable system. Owing to the continuity of this setup and the strong Markov property of the field on the one hand, and the links with potential theory for the associated diffusion on the other, we rigorously determine the behavior of various key quantities related to the (near-)critical regime for this model. In particular, our results apply in case the base graph is the three-dimensional cubic lattice. They unveil the values of the associated critical exponents, which are explicit but not mean-field and consistent with predictions from scaling theory below the upper-critical dimension.
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Taxonomy
TopicsStochastic processes and statistical mechanics · Complex Network Analysis Techniques · Theoretical and Computational Physics
