Numerical integration of KPZ equation with restrictions
M. F. Torres, R. C. Buceta

TL;DR
This paper introduces a new numerical integration method for the KPZ equation that controls divergences by restricting the nonlinearity, enabling accurate simulation of KPZ scaling properties in various dimensions.
Contribution
A novel integration approach for the KPZ equation that directly limits the nonlinearity, avoiding instabilities and reproducing known scaling behaviors across multiple dimensions.
Findings
Method successfully reproduces KPZ scaling in 1D.
Method extends to 3D and 4D, confirming non-criticality of 4D.
Avoids divergences while preserving KPZ properties.
Abstract
In this paper, we introduce a novel integration method of Kardar-Parisi-Zhang (KPZ) equation. It has always been known that if during the discrete integration of the KPZ equation the nearest-neighbor height-difference exceeds a critical value, an instability appears and the integration diverges. One way to avoid these instabilities is to replace the KPZ nonlinear-term by a function of the same term that depends on a single adjustable parameter which is able to control pillars or grooves growing on the interface. Here, we propose a different integration method which consists of directly limiting the value taken by the KPZ nonlinearity, thereby imposing a restriction rule that is applied in each integration time-step, as if it were the growth rule of a restricted discrete model, e.g. restricted-solid-on-solid (RSOS). Taking the discrete KPZ equation with restrictions to its dimensionless…
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