Fluctuation Bounds for the Restricted Solid‐On‐Solid Model of Surface Growth

ABSTRACT The restricted solid‐on‐solid (RSOS) model is a ‐dimensional model of continuous‐time surface growth characterized by the constraint that adjacent height differences are bounded by a fixed constant. Though the model is conjectured to belong to the KPZ universality class in dimension one, mathematical progress on the model is very sparse. Motivated by Chatterjee, we study the basic properties of the model and establish bounds on surface height fluctuations as a function of time. A linear fluctuation bound is proven for all dimensions and a logarithmic fluctuation lower bound is given for dimension one. The proofs rely on a new characterization of RSOS as a type of first passage percolation on a disordered lattice, which is of independent interest. The logarithmic lower bound is established by showing equality in distribution to the minimum of a certain dual RSOS process.

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Publication Details

Journal
Random Structures and Algorithms
Published
2025-04-25
DOI
https://doi.org/10.1002/rsa.70004
Primary Topic
Theoretical and Computational Physics
Type
article
Field-Weighted Citation Impact
0.00

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article

Fluctuation Bounds for the Restricted Solid‐On‐Solid Model of Surface Growth

Timothy Sudijono
Random Structures and Algorithms
Theoretical and Computational Physics
article

Fluctuation Bounds for the Restricted Solid‐On‐Solid Model of Surface Growth

Timothy Sudijono
article en

Abstract

ABSTRACT The restricted solid‐on‐solid (RSOS) model is a ‐dimensional model of continuous‐time surface growth characterized by the constraint that adjacent height differences are bounded by a fixed constant. Though the model is conjectured to belong to the KPZ universality class in dimension one, mathematical progress on the model is very sparse. Motivated by Chatterjee, we study the basic properties of the model and establish bounds on surface height fluctuations as a function of time. A linear fluctuation bound is proven for all dimensions and a logarithmic fluctuation lower bound is given for dimension one. The proofs rely on a new characterization of RSOS as a type of first passage percolation on a disordered lattice, which is of independent interest. The logarithmic lower bound is established by showing equality in distribution to the minimum of a certain dual RSOS process.

Random Structures and AlgorithmsVol. 66(3)
Stanford University (US)
National Science Foundation
Openalex Percentile: Top 95%
Theoretical and Computational Physics
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Fluctuation Bounds for the Restricted Solid‐On‐Solid Model of Surface Growth — Timothy Sudijono · Random Structures and Algorithms (2025) | TGRS Research Map | TGRS