English

Fractional Gaussian forms and gauge theory: an overview

Probability 2024-06-28 v1 Mathematical Physics math.MP

Abstract

Fractional Gaussian fields are scalar-valued random functions or generalized functions on an nn-dimensional manifold MM, indexed by a parameter ss. They include white noise (s=0s = 0), Brownian motion (s=1,n=1s=1, n=1), the 2D Gaussian free field (s=1,n=2s = 1, n=2) and the membrane model (s=2s = 2). These simple objects are ubiquitous in math and science, and can be used as a starting point for constructing non-Gaussian theories. The differential form\textit{differential form} analogs of these objects are equally natural: for example, instead of considering an instance h(x)h(x) of the GFF on R2\mathbb R^2, one might write h1(x)dx1+h2(x)dx2h_1(x)dx_1 + h_2(x) dx_2 where h1h_1 and h2h_2 are independent GFF instances. In general, given k{0,1,,n}k \in \{0,1,\ldots,n\}, an instance of the \textit{fractional Gaussian k-form} with parameter sRs \in \mathbb R (abbreviated FGFsk(M)\mathrm{FGF}_s^k(M)) is given by (Δ)s2Wk,(-\Delta)^{-\frac{s}{2}} W_k, where WkW_k is a kk-form-valued white noise. We write FGFsk(M)d=0andFGFsk(M)d=0\textrm{FGF}_s^k(M)_{d=0} \quad \textrm{and} \quad \textrm{FGF}_s^k(M)_{d^*=0} for the L2L^2 orthogonal projections of FGFsk(M)\textrm{FGF}_s^k(M) onto the space of kk-forms on which dd (resp.\ dd^*) vanishes. We explain how FGFsk(M)\mathrm{FGF}_s^k(M) and its projections transform under dd and dd^*, as well as wedge/Hodge-star operators, subspace restrictions, and axial projections. We discuss how the 11-form FGF11(M)\textrm{FGF}_1^1(M) and its gauge-fixed\textit{gauge-fixed} projection FGF11(M)d=0\textrm{FGF}_1^1(M)_{d^*=0} are related to gauge theories, and we formulate several conjectures and open problems about scaling limits, including possible off-critical/non-Gaussian limits, whose construction in the Yang-Mills setting is a famous open problem.

Keywords

Cite

@article{arxiv.2406.19321,
  title  = {Fractional Gaussian forms and gauge theory: an overview},
  author = {Sky Cao and Scott Sheffield},
  journal= {arXiv preprint arXiv:2406.19321},
  year   = {2024}
}

Comments

84 pages, 17 figures

R2 v1 2026-06-28T17:21:39.160Z