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Journal Articles Annals of Applied Probability Year : 2022

Hydrodynamic limit for a 2D interlaced particle process


The Markov dynamics of interlaced particle arrays, introduced by A. Borodin and P. Ferrari in arXiv:0811.0682, is a classical example of (2+1)-dimensional random growth model belonging to the so-called Anisotropic KPZ universality class. In Legras-Toninelli (2017) arXiv:1704.06581, a hydrodynamic limit -- the convergence of the height profile, after space/time rescaling, to the solution of a deterministic Hamilton-Jacobi PDE with non-convex Hamiltonian -- was proven when either the initial profile is convex, or for small times, before the solution develops shocks. In the present work, we give a simpler proof, that works for all times and for all initial profiles for which the limit equation makes sense. In particular, the convexity assumption is dropped. The main new idea is a new viewpoint about "finite speed of propagation" that allows to bypass the need of a-priori control of the interface gradients, or equivalently of inter-particle distances.

Dates and versions

hal-02566038 , version 1 (06-05-2020)



Vincent Lerouvillois, Fabio Toninelli. Hydrodynamic limit for a 2D interlaced particle process. Annals of Applied Probability, 2022, 32 (1), pp.167-190. ⟨10.1214/21-AAP1674⟩. ⟨hal-02566038⟩
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