English

A stationary model of non-intersecting directed polymers

Statistical Mechanics 2023-02-22 v2 Mathematical Physics math.MP Probability

Abstract

We consider the partition function Z(x,0y,t)Z_{\ell}(\vec x,0\vert \vec y,t) of \ell non-intersecting continuous directed polymers of length tt in dimension 1+11+1, in a white noise environment, starting from positions x\vec x and terminating at positions y\vec y. When =1\ell=1, it is well known that for fixed xx, the field logZ1(x,0y,t)\log Z_1(x,0\vert y,t) solves the Kardar-Parisi-Zhang equation and admits the Brownian motion as a stationary measure. In particular, as tt goes to infinity, Z1(x,0y,t)/Z1(x,00,t)Z_1(x,0\vert y,t)/Z_1(x,0\vert 0,t) converges to the exponential of a Brownian motion B(y)B(y). In this article, we show an analogue of this result for any \ell. We show that Z(x,0y,t)/Z(x,00,t)Z_{\ell}(\vec x,0\vert \vec y,t)/Z_{\ell}(\vec x,0\vert \vec 0,t) converges as tt goes to infinity to an explicit functional Zstat(y)Z_{\ell}^{\rm stat}(\vec y) of \ell independent Brownian motions. This functional Zstat(y)Z_{\ell}^{\rm stat}(\vec y) admits a simple description as the partition sum for \ell non-intersecting semi-discrete polymers on \ell lines. We discuss applications to the endpoints and midpoints distribution for long non-crossing polymers and derive explicit formulas in the case of two polymers. To obtain these results, we show that the stationary measure of the O'Connell-Warren multilayer stochastic heat equation is given by a collection of independent Brownian motions. This in turn is shown via analogous results in a discrete setup for the so-called log-gamma polymer and exploit the connection between non-intersecting log-gamma polymers and the geometric RSK correspondence found in arXiv:1110.3489. .

Cite

@article{arxiv.2205.08023,
  title  = {A stationary model of non-intersecting directed polymers},
  author = {Guillaume Barraquand and Pierre Le Doussal},
  journal= {arXiv preprint arXiv:2205.08023},
  year   = {2023}
}

Comments

30 pages, 8 figures

R2 v1 2026-06-24T11:19:17.283Z