Finite size effect in the persistence probability of the Edwards-Wilkinson model of surface growth and effect of non-linearity
Anirban Ghosh, Dipanjan Chakraborty

TL;DR
This paper investigates how finite system size affects the persistence probability in surface growth models, specifically the linear Edwards-Wilkinson and nonlinear Kardar-Parisi-Zhang models, revealing the disappearance of algebraic decay in finite systems.
Contribution
It provides a detailed analysis of finite size effects on persistence probabilities in discrete surface growth models, extending previous continuum results.
Findings
Persistence exponents are close to predicted values in infinite systems.
Finite size causes the algebraic decay of persistence probability to vanish.
Finite systems alter the known persistence behavior of surface growth models.
Abstract
The dynamical evolution of the surface height is controlled by either a linear or a nonlinear Langevin equation, depending on the underlying microscopic dynamics, and is often done theoretically using stochastic coarse-grained growth equations. The persistence probability of stochastic models of surface growth that are constrained by a finite system size is examined in this work. We focus on the linear Edwards-Wilkinson model (EW) and the nonlinear Kardar-Parisi-Zhang model, two specific models of surface growth. The persistence exponents in the continuum version of these two models have been widely investigated. Krug et al.[Phys. Rev. E , 56:2702-2712, (1997)] and Kallabis et al. [EPL (Europhysics Letters) , 45(1):20, 1999] had shown that, the steady-state persistence exponents for both these models are related to the growth exponent as…
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