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A Class of Gaussian Fields on $\mathbb{Z}_q^d$

Probability 2026-02-24 v1

Abstract

Gaussian fields (gx)(g_x) on Zqd\mathbb{Z}_q^d are constructed from a class of reversible long range random walks (Xt)tN(X_t)_{t\in \mathbb{N}} on Zqd\mathbb{Z}_q^d in arXiv:2510.22554. The construction is from taking the covariance function of (gx)(g_x) as (1α)G(x,y;α)(1-\alpha)G(x,y;\alpha), where G(x,y;α)G(x,y;\alpha) is the Green function of a random walk with killing in each transition at rate 1α1-\alpha. A decomposition of the Gaussian field into a sum of independent Gaussian random variables is made. By letting qq\to \infty the Gaussian field becomes defined from an infinite-dimensional random walk on a torus. The random walk model is also extended to d=d=\infty by considering a de Finetti random walk where entries in the increments of the random walk are exchangeable. A limit Gaussian field on Rd\mathbb{R}^d arises from a central limit theorem approach. The transform of this Gaussian field, which is again a Gaussian field, is calculated. It has a simpler covariance matrix than the original field. The Hamiltonian connected to the Gaussian field is calculated. A limit theorem for the partition function arising from the Hamiltonian is found.

Keywords

Cite

@article{arxiv.2602.19469,
  title  = {A Class of Gaussian Fields on $\mathbb{Z}_q^d$},
  author = {Robert Griffiths and Shuhei Mano},
  journal= {arXiv preprint arXiv:2602.19469},
  year   = {2026}
}
R2 v1 2026-07-01T10:46:48.951Z