Fractional Gaussian Forms and Gauge Theory: An Overview
摘要
Fractional Gaussian fields are scalar-valued random functions or generalized functions on an n-dimensional manifold M, indexed by a parameter s. They include white noise (s = 0), Brownian motion (s = 1, n = 1), the 2D Gaussian free field (s = 1, n = 2) and the membrane model (s = 2). These simple objects are ubiquitous in math and science, and can be used as a starting point for constructing non-Gaussian theories. They are sometimes parameterized by the Hurst parameter
The differential form analogs of these objects are equally natural: for example, instead of considering an instance h(x) of the GFF on ℝ2, one might write h1(x)dx1 + h2(x)dx2 where h1 and h2 are independent GFF instances. This “Gaussian-free-field-based 1-form” can be projected onto curl-free and divergence-free components, which in turn arise as gradients and dual-gradients of independent membrane models.
In general, given k ∈ {0,1,…, n}, an instance of the fractional Gaussian k-form with parameter s ∈ ℝ (abbreviated FGF
The 1-form FGF
Wilson loop observables of this connection are defined for sufficiently regular “big loops” (trajectories in the space of divergence-free 1-forms obtainable as limits of finite-length loops) in a gauge invariant way, even in the non-abelian case. We define “big surfaces” (trajectories in the space of 2-forms obtainable as limits of smooth surfaces with boundary) and note that Stokes’ theorem converts big-loop integrals of FGF
One may interpret FGF