PROLHAC Sylvain

Assistant professor

sylvain.prolhac(at)irsamc.ups-tlse.fr

+33 (0)5 61 55 65 82

Building 3R1B4, office 324 (3rd floor)

Address : Laboratoire de Physique Théorique,
Université de Toulouse, 118 Route de Narbonne,
31062 Toulouse Cedex 4, France

 

Master 2 internship proposal
PhD thesis proposal

 

I have been working on a one-dimensional non-equilibrium universality class known as KPZ, which describes the fluctuations of some growing interfaces as well as classical and quantum fluids.

I am especially interested in finite volume effects, corresponding to a regime where the correlation length of the fluctuations is of the same order of magnitude as the size of the system. The temporal evolution of the system then describes the full relaxation process to stationarity, starting from a given initial state.

In particular, I showed recently that KPZ fluctuations in finite volume describe the relaxation to stationarity for some integrable spin chains :

On the technical side, KPZ fluctuations in finite volume can be obtained by taking the large scale limit of interacting particle systems such as the totally asymmetric simple exclusion process (TASEP) :

 
Exact formulas then involve contour integrals on Riemann surfaces, whose genus tends to infinity in the KPZ scaling limit :
Additionally, stationary KPZ fluctuations have a simple representation in terms of non-intersecting Brownian processes :

Selected papers (full list on arXiv):

 

Review paper, based on my habilitation thesis :

 

Exact formulas for KPZ fluctuations in finite volume

 

Application to integrable spin chains

  • S. Prolhac, Cheaper access to universal fluctuations in integrable spin chains from boundary effects (2025) (arXiv:2509.05176)

 

Non-intersecting Brownian processes

 

Riemann surfaces

 

Multiple species of particles

 

Spectral gaps

Skip to content
Logo LPT
Privacy Overview

This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.