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New Recipes for Brownian Loop Soups

Mathematical Physics 2020-07-07 v1 Statistical Mechanics High Energy Physics - Theory math.MP Probability

Abstract

We define a large new class of conformal primary operators in the ensemble of Brownian loops in two dimensions known as the ``Brownian loop soup,'' and compute their correlation functions analytically and in closed form. The loop soup is a conformally invariant statistical ensemble with central charge c=2λc = 2 \lambda, where λ>0\lambda > 0 is the intensity of the soup. Previous work identified exponentials of the layering operator eiβN(z)e^{i \beta N(z)} as primary operators. Each Brownian loop was assigned ±1\pm 1 randomly, and N(z)N(z) was defined to be the sum of these numbers over all loops that encircle the point zz. These exponential operators then have conformal dimension λ10(1cosβ){\frac{\lambda}{10}}(1 - \cos \beta). Here we generalize this procedure by assigning a more general random value to each loop. The operator eiβN(z)e^{i \beta N(z)} remains primary with conformal dimension λ10(1ϕ(β))\frac {\lambda}{10}(1 - \phi(\beta)), where ϕ(β)\phi(\beta) is the characteristic function of the probability distribution used to assign random values to each loop. Using recent results we compute in closed form the exact two-point functions in the upper half-plane and four-point functions in the full plane of this very general class of operators. These correlation functions depend analytically on the parameters λ,βi,zi\lambda, \beta_i, z_i, and on the characteristic function ϕ(β)\phi(\beta). They satisfy the conformal Ward identities and are crossing symmetric. As in previous work, the conformal block expansion of the four-point function reveals the existence of additional and as-yet uncharacterized conformal primary operators.

Keywords

Cite

@article{arxiv.2007.01869,
  title  = {New Recipes for Brownian Loop Soups},
  author = {Valentino F. Foit and Matthew Kleban},
  journal= {arXiv preprint arXiv:2007.01869},
  year   = {2020}
}

Comments

23 pages, 3 figures

R2 v1 2026-06-23T16:50:23.307Z