A Combinatorial Approach to Jumping Particles: The Parallel TASEP

被引:5
|
作者
Duchi, Enrica [1 ]
Schaeffer, Gilles [2 ]
机构
[1] Univ Paris 07, LIAFA, F-75251 Paris 05, France
[2] Ecole Polytech, CNRS, LIX, F-91128 Palaiseau, France
关键词
discrete Markov chain; stationary distribution; combinatorial interpretation; Catalan numbers;
D O I
10.1002/rsa.20229
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
In this article, we continue the combinatorial study of models of particles jumping on a row of cells which we initiated with the standard totally asymmetric simple exclusion process or TASEP (Duchi and Schaeffer, Journal of Combinatorial Theory, Series A, 110(2005), 1-29). We consider here the parallel TASEP, in which particles can jump simultaneously. On the other hand, the interest in this process comes from highway traffic modeling: it is the only solvable special case of the Nagel-Schreckenberg automation, the most populat model in that context. On the other hand, the parrallel TASEP is of some theoretical interest because the derivation of its stationary distribution, as appearing in the physics literature, is harder than that of the standard TASEP. We offer here an elementary derivation that extends the combinatorial approach we developed for the standard TASEP. In particular, we show that this stationary distribution can be expressed in terms of refinements of Catalan numbers. (C) 2008 Wiley Periodicals, Inc. Random Struct.Alg.,33,434-451,2008
引用
收藏
页码:434 / 451
页数:18
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