Boundary operators in the Brownian loop soup

Fuente: arXiv
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Main Authors: Camia, Federico, Nivesvivat, Rongvoram
Format: Preprint
Published: 2026
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author Camia, Federico
Nivesvivat, Rongvoram
author_facet Camia, Federico
Nivesvivat, Rongvoram
contents We obtain infinitely many boundary operators in the Brownian loop soup in the subcritical phase by analyzing the conformal block expansion of the two-point function that computes the probability of having two marked points on the upper half-plane being separated by Brownian loops. The resulting boundary operators are primary operators in a 2D CFT with central charge $c\leq1$ and have conformal dimensions that are non-negative integers. By comparing the above-mentioned conformal block expansion with probabilities in the Brownian loop soup, we provide a physical interpretation of the boundary operators of even dimensions as operators that insert multiple outer boundaries of Brownian loops at points on the real axis.
format Preprint
id arxiv_https___arxiv_org_abs_2601_02755
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Boundary operators in the Brownian loop soup
Camia, Federico
Nivesvivat, Rongvoram
Mathematical Physics
Statistical Mechanics
High Energy Physics - Theory
Probability
We obtain infinitely many boundary operators in the Brownian loop soup in the subcritical phase by analyzing the conformal block expansion of the two-point function that computes the probability of having two marked points on the upper half-plane being separated by Brownian loops. The resulting boundary operators are primary operators in a 2D CFT with central charge $c\leq1$ and have conformal dimensions that are non-negative integers. By comparing the above-mentioned conformal block expansion with probabilities in the Brownian loop soup, we provide a physical interpretation of the boundary operators of even dimensions as operators that insert multiple outer boundaries of Brownian loops at points on the real axis.
title Boundary operators in the Brownian loop soup
topic Mathematical Physics
Statistical Mechanics
High Energy Physics - Theory
Probability
url https://arxiv.org/abs/2601.02755