English

Non-crossing Brownian paths and Dyson Brownian motion under a moving boundary

Statistical Mechanics 2019-11-28 v2 Disordered Systems and Neural Networks Mathematical Physics math.MP Probability Exactly Solvable and Integrable Systems

Abstract

We compute analytically the probability S(t)S(t) that a set of NN Brownian paths do not cross each other and stay below a moving boundary g(τ)=Wτg(\tau)= W \sqrt{\tau} up to time tt. We show that for large tt it decays as a power law S(t)tβ(N,W)S(t) \sim t^{- \beta(N,W)}. The decay exponent β(N,W)\beta(N,W) is obtained as the ground state energy of a quantum system of NN non-interacting fermions in a harmonic well in the presence of an infinite hard wall at position WW. Explicit expressions for β(N,W)\beta(N,W) are obtained in various limits of NN and WW, in particular for large NN and large WW. We obtain the joint distribution of the positions of the walkers in the presence of the moving barrier g(τ)=Wτg(\tau) =W \sqrt{\tau} at large time. We extend our results to the case of NN Dyson Brownian motions (corresponding to the Gaussian Unitary Ensemble) in the presence of the same moving boundary g(τ)=Wτg(\tau)=W\sqrt{\tau}. For W=0W=0 we show that the system provides a realization of a Laguerre biorthogonal ensemble in random matrix theory. We obtain explicitly the average density near the barrier, as well as in the bulk far away from the barrier. Finally we apply our results to NN non-crossing Brownian bridges on the interval [0,T][0,T] under a time-dependent barrier gB(τ)=Wτ(1τT)g_B(\tau)= W \sqrt{\tau(1- \frac{\tau}{T})}.

Keywords

Cite

@article{arxiv.1905.08378,
  title  = {Non-crossing Brownian paths and Dyson Brownian motion under a moving boundary},
  author = {Tristan Gautié and Pierre Le Doussal and Satya N. Majumdar and Gregory Schehr},
  journal= {arXiv preprint arXiv:1905.08378},
  year   = {2019}
}

Comments

44 pages, 13 figures