KPZ equation with a small noise, deep upper tail and limit shape
arXiv:2106.13313 · doi:10.1007/s00440-022-01185-2
Abstract
In this paper, we consider the KPZ equation under the weak noise scaling. That is, we introduce a small parameter in front of the noise and let . We prove that the one-point large deviation rate function has a power law in the deep upper tail. Furthermore, by forcing the value of the KPZ equation at a point to be very large, we prove a limit shape of the KPZ equation as . This confirms the physics prediction in Kolokolov and Korshunov (2007), Kolokolov and Korshunov (2009), Meerson, Katzav, and Vilenkin (2016), Kamenev, Meerson, and Sasorov (2016), and Le Doussal, Majumdar, Rosso, and Schehr (2016).
23 pages, 1 figure. An error in Lemma 3.1 in the first version of the paper is corrected
References in corpus (7)
- The one-dimensional KPZ equation and its universality class
- Optimal fluctuation approach to a directed polymer in a random medium
- Exact short-time height distribution in 1D KPZ equation with Brownian initial condition
- The inverse scattering of the Zakharov-Shabat system solves the weak noise theory of the Kardar-Parisi-Zhang equation
- Inverse scattering solution of the weak noise theory of the Kardar-Parisi-Zhang equation with flat and Brownian initial conditions
- Short time large deviations of the KPZ equation
- Observing symmetry-broken optimal paths of stationary Kardar-Parisi-Zhang interface via a large-deviation sampling of directed polymers in random media