2010/08/31 by Patrik L. Ferrari · 1 citation
Mathematics · Physics and Astronomy · #Advanced Combinatorial Mathematics #Random Matrices and Applications #Stochastic processes and statistical mechanics #cond-mat.stat-mech #math-ph #math.MP #math.PR #msc:15A52 #msc:60K35 #msc:82C22
paper · pdf · doi:10.1088/1742-5468/2010/10/p10016
published as J. Stat. Mech. (2010), P10016 · 18 pages, 8 figures; Contribution to StatPhys24 special issue; minor corrections in scaling of section 2.2
openalex publication_date 2010/10/13 · arxiv created 2010/11/13 · arxiv updated 2011/03/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
In this contribution we consider stochastic growth models in the Kardar-Parisi-Zhang universality class in 1+1 dimension. We discuss the large time distribution and processes and their dependence on the class on initial condition. This means that the scaling exponents do not uniquely determine the large time surface statistics, but one has to further divide into subclasses. Some of the fluctuation laws were first discovered in random matrix models. Moreover, the limit process for curved limit shape turned out to show up in a dynamical version of hermitian random matrices, but this analogy does not extend to the case of symmetric matrices. Therefore the connections between growth models and random matrices is only partial.