New Recipes for Brownian Loop Soups
Valentino F. Foit, Matthew Kleban

TL;DR
This paper introduces a broad class of conformal primary operators in Brownian loop soups, computes their correlation functions analytically, and explores their conformal properties and primary operator spectrum.
Contribution
It generalizes the construction of primary operators in Brownian loop soups by assigning arbitrary random values, and derives explicit correlation functions depending on the characteristic function.
Findings
Correlation functions depend analytically on parameters
Operators satisfy conformal Ward identities
Four-point functions reveal additional primary operators
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 , where is the intensity of the soup. Previous work identified exponentials of the layering operator as primary operators. Each Brownian loop was assigned randomly, and was defined to be the sum of these numbers over all loops that encircle the point . These exponential operators then have conformal dimension . Here we generalize this procedure by assigning a more general random value to each loop. The operator remains primary with conformal dimension $\frac…
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Taxonomy
TopicsStochastic processes and statistical mechanics · Random Matrices and Applications · Bayesian Methods and Mixture Models
