# The Long ans Short Time Asymptotics of the Two-Time Distribution in Local Random Growth

## TL;DR

This paper investigates the asymptotic behavior of the two-time distribution in local 1D random growth models within the KPZ class, focusing on long and short time separation limits to understand universality and distribution properties.

## Contribution

It derives the long and short time asymptotics of the two-time distribution, extending understanding of temporal correlations in KPZ growth models.

## Key findings

- Long time separation leads to asymptotic independence of heights.
- Short time limit reveals detailed joint distribution behavior.
- Results support universality of the two-time distribution in KPZ class.

## Abstract

The two-time distribution gives the limiting joint distribution of the heights at two different times of a local 1D random growth model in the curved geometry. This distribution has been computed in a specific model but is expected to be universal in the KPZ universality class. Its marginals are the GUE Tracy-Widom distribution. In this paper we study two limits of the two-time distribution. The first, is the limit of long time separation when the quotient of the two times goes to infinity, and the second, is the short time limit when the quotient goes to zero.