Double-exponential susceptibility growth in Dyson's hierarchical model with $|x-y|^{-2}$ interaction
Philip Easo, Tom Hutchcroft, and Jana Kurrek

TL;DR
This paper analyzes the growth of susceptibility in long-range percolation on hierarchical lattices, revealing a double-exponential growth at critical parameters, which extends understanding of phase transitions in related models like Dyson's hierarchical Ising model.
Contribution
The paper proves the precise asymptotic behavior of susceptibility in long-range hierarchical percolation for lpha eld, demonstrating double-exponential growth at the critical point, a novel finding.
Findings
Susceptibility grows polynomially for lpha eld as eta ftarrow ty
Susceptibility exhibits double-exponential growth at lpha = d
Results extend to related models like Dyson's hierarchical Ising model
Abstract
We study long-range percolation on the -dimensional hierarchical lattice, in which each possible edge is included independently at random with inclusion probability , where is fixed and is a parameter. This model is known to have a phase transition at some if and only if . We study the model in the regime , in which , and prove that the susceptibility (i.e., the expected volume of the cluster at the origin) satisfies \[ \chi(\beta) = \beta^{\frac{d}{\alpha - d } - o(1)} \qquad \text{as if } \qquad \text{and} \qquad e^{e^{ \Theta(\beta) }} \qquad \text{as if .} \] This resolves a problem raised by Georgakopoulos and Haslegrave (2020), who showed that grows…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsStochastic processes and statistical mechanics · Theoretical and Computational Physics · Random Matrices and Applications
