Communications in Mathematical Physics

, Volume 252, Issue 1–3, pp 77–109 | Cite as

Polynuclear Growth on a Flat Substrate and Edge Scaling of GOE Eigenvalues

  • Patrik L. FerrariEmail author


We consider the polynuclear growth (PNG) model in 1+1 dimension with flat initial condition and no extra constraints. Through the Robinson-Schensted-Knuth (RSK) construction, one obtains the multilayer PNG model, which consists of a stack of non-intersecting lines, the top one being the PNG height. The statistics of the lines is translation invariant and at a fixed position the lines define a point process. We prove that for large times the edge of this point process, suitably scaled, has a limit. This limit is a Pfaffian point process and identical to the one obtained from the edge scaling of the Gaussian orthogonal ensemble (GOE) of random matrices. Our results give further insight to the universality structure within the KPZ class of 1+1 dimensional growth models.


Neural Network Complex System Nonlinear Dynamics Growth Model Large Time 
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© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  1. 1.Zentrum MathematikTechnische Universität MünchenGarching bei MünchenGermany

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