A limit law for the maximum of subcritical DG-model on a hierarchical lattice
arXiv:2309.09389
Abstract
We study the extremal properties of the "integer-valued Gaussian" a.k.a.\ DG-model on the hierarchical lattice (with ) of depth . This is a random field with law proportional to , where is the hierarchical Laplacian, is the inverse temperature and is the counting measure on . Denoting and , for we prove that, along increasing sequences of such that the fractional part of converges to an , the centered maximum tends (as ) in law to a discrete variant of a randomly shifted Gumbel law with the shift depending non-trivially on . The convergence extends to the extremal process whose law tends to a decorated Poisson point process with a random intensity measure. The proofs rely on renormalization-group analysis which enables a tight coupling of the DG-model to a Gaussian Free Field. The interval marks the full range of values of for which the renormalization-group iterations tend to a "trivial" fixed point.
53 pages