Short time large deviations of the KPZ equation

TL;DR

This paper proves a large deviation principle for the KPZ equation's short-time behavior, confirming physics predictions about tail distributions through a variational analysis of the stochastic heat equation.

Contribution

It establishes the Freidlin--Wentzell LDP for the stochastic heat equation with multiplicative noise, linking it to the KPZ equation's short-time tail laws.

Findings

Quadratic law for near-center tail

Power law of 5/2 for deep lower tail

Confirmation of physics-based tail predictions

Abstract

We establish the Freidlin--Wentzell Large Deviation Principle (LDP) for the Stochastic Heat Equation with multiplicative noise in one spatial dimension. That is, we introduce a small parameter $ \sqrt{\varepsilon} $ to the noise, and establish an LDP for the trajectory of the solution. Such a Freidlin--Wentzell LDP gives the short-time, one-point LDP for the KPZ equation in terms of a variational problem. Analyzing this variational problem under the narrow wedge initial data, we prove a quadratic law for the near-center tail and a $ \frac52 $ law for the deep lower tail. These power laws confirm existing physics predictions Kolokolov and Korshunov (2007), Kolokolov and Korshunov (2009), Meerson, Katzav, and Vilenkin (2016), Le Doussal, Majumdar, Rosso, and Schehr (2016), and Kamenev, Meerson, and Sasorov (2016).