Local average height distribution of fluctuating interfaces
Naftali R. Smith, Baruch Meerson, Pavel V. Sasorov

TL;DR
This paper introduces the local average height as a well-defined measure for fluctuating interfaces in linear growth models across dimensions, addressing issues of ill-defined distributions and universality loss in traditional height measurements.
Contribution
It proposes the local average height to overcome ill-defined distributions in high dimensions and develops the weak-noise theory for these models, providing new insights into interface fluctuations.
Findings
Local average height distribution is well-defined in any dimension.
Weak-noise theory yields the optimal interface path conditioned on fluctuations.
Regularization affects universality in height distribution analysis.
Abstract
Height fluctuations of growing surfaces can be characterized by the probability distribution of height in a spatial point at a finite time. Recently there has been spectacular progress in the studies of this quantity for the Kardar-Parisi-Zhang (KPZ) equation in dimensions. Here we notice that, at or above a critical dimension, the finite-time one-point height distribution is ill-defined in a broad class of linear surface growth models, unless the model is regularized at small scales. The regularization via a system-dependent small-scale cutoff leads to a partial loss of universality. As a possible alternative, we introduce a \emph{local average height}. For the linear models the probability density of this quantity is well-defined in any dimension. The weak-noise theory (WNT) for these models yields the "optimal path" of the interface conditioned on a non-equilibrium fluctuation…
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