Constrained non-crossing Brownian motions, fermions and the Ferrari-Spohn distribution

Abstract

A conditioned stochastic process can display a very different behavior from the unconditioned process. In particular, a conditioned process can exhibit non-Gaussian fluctuations even if the unconditioned process is Gaussian. In this work, we revisit the Ferrari-Spohn model of a Brownian bridge conditioned to avoid a moving wall, which pushes the system into a large-deviation regime. We extend this model to an arbitrary number $N$ of non-crossing Brownian bridges. We obtain the joint distribution of the distances of the Brownian particles from the wall at an intermediate time in the form of the determinant of an $N\times N$ matrix whose entries are given in terms of the Airy function. We show that this distribution coincides with that of the positions of $N$ spinless noninteracting fermions trapped by a linear potential with a hard wall. We then explore the $N\gg 1$ behavior of the system. For simplicity we focus on the case where the wall's position is given by a semicircle as a function of time, but we expect our results to be valid for any concave wall function.

arXiv comment16 pages, 4 figures

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Cited by in corpus (3)

• Matrix Kesten Recursion, Inverse-Wishart Ensemble and Fermions in a Morse Potential
• Dynamical phase transition in the occupation fraction statistics for non-crossing Brownian particles
• The Airy${}_2$ process and the 3D Ising model