Systematic time expansion for the Kardar-Parisi-Zhang equation, linear statistics of the GUE at the edge and trapped fermions
Alexandre Krajenbrink, Pierre Le Doussal, Sylvain Prolhac

TL;DR
This paper develops a systematic short time expansion for the KPZ equation's height distribution, extends it to long times, and applies it to linear statistics of the GUE edge and trapped fermions, revealing new large deviation functions and corrections.
Contribution
It introduces a novel short time expansion method for the KPZ equation and applies it to GUE edge eigenvalues and trapped fermions, providing new analytical results and corrections.
Findings
Short time expansion matches numerical evaluations.
Derived long time large deviation functions.
Obtained higher-order cumulants and corrections for the Airy point process.
Abstract
We present a systematic short time expansion for the generating function of the one point height probability distribution for the KPZ equation with droplet initial condition, which goes much beyond previous studies. The expansion is checked against a numerical evaluation of the known exact Fredholm determinant expression. We also obtain the next order term for the Brownian initial condition. Although initially devised for short time, a resummation of the series allows to obtain also the \textit{long time large deviation function}, found to agree with previous works using completely different techniques. Unexpected similarities with stationary large deviations of TASEP with periodic and open boundaries are discussed. Two additional applications are given. (i) Our method is generalized to study the linear statistics of the {Airy point process}, i.e. of the GUE edge eigenvalues. We obtain…
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