

Lecture 3: What is the Universal Scaling Limit of Random Interface Growth, and What Does It Tell Us?
By Ivan Corwin


Coulomb gas approach to conformal field theory and lattice models of 2D statistical physics
By Stanislav Smirnov
Appears in collection : Random trees and maps: probabilistic and combinatorial aspects / Arbres et cartes aléatoires : aspects probabilistes et combinatoires
The celebrated Fisher-Kolmogorov-Petrovsky-Piscounof equation (FKPP) in one dimension for $h:\mathbb{R} \times \mathbb{R}^+ \to \mathbb{R}$ is:
$\partial_th = \partial{_x^2}h + h - h^2, h(x, 0) = h_0(x)$.
This equation is a natural description of a reaction-diffusion model (Fisher 1937, Kolmogorov et al. 1937, Aronson 1978). It is also related to branching Brownian motion: for the Heaviside initial condition $h_0 (x) = 1{_x<0}$ , $h(x, t)$ is the probability that the rightmost particle at time t in a branching Brownian motion (BBM) is to the right of $x$. One of the beauty of this equation is that for initial conditions that decrease sufficiently fast, a front develops, i.e. there exists a centring term $m(t)$ and an asymptotic shape $\omega(x)$ such that
$\lim_{t \to \infty} h(m(t) + x,t) = \omega(x) \in (0, 1).$
Since the original paper of Kolmogorov et al., the position of the front $m(t)$ has been studied intensely, in particular by Bramson. In this talk, I will present some recent results concerning a prediction of Ebert and van Saarloos about the vanishing corrections of this position. Based on a joint work with E. Brunet.