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arXiv math/0001022math.PRmath.CO
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随机恶性游动与随机矩阵

Random vicious walks and random matrices

Jinho Baik

摘要:

锁步walker模型是离散时间的一维整数lattice walker模型。假设最初在非负偶数点上有无穷多个步行者。在每一个时间点,每个步行者都以相等的概率向左或向右移动。唯一的限制是,没有两个步行者可以同时占据同一地点。证明了在大时限内,最左行走者位移的某个条件概率与随机GOE矩阵适当标度的最大特征值的极限分布(GOE Tracy-Widom分布)是一致的.证明是基于路径配置和半标准的杨tableaux最近建立的Guttmann,Owczarek和Viennot之间的双射。统计半标准杨tableaux分析使用汉克尔行列式表达式的概率从工作的雨和作者。将Deift-Zhou最速下降法应用于黎曼-希尔伯特问题,得到了Hankel行列式关于相关正交多项式的渐近性.

英文摘要:

Lock step walker model is a one-dimensional integer lattice walker model in discrete time. Suppose that initially there are infinitely many walkers on the non-negative even integer sites. At each tick of time, each walker moves either to its left or to its right with equal probability. The only constraint is that no two walkers can occupy the same site at the same time. It is proved that in the large time limit, a certain conditional probability of the displacement of the leftmost walker is identical to the limiting distribution of the properly scaled largest eigenvalue of a random GOE matrix (GOE Tracy-Widom distribution). The proof is based on the bijection between path configurations and semistandard Young tableaux established recently by Guttmann, Owczarek and Viennot. Statistics of semistandard Young tableaux is analyzed using the Hankel determinant expression for the probability from the work of Rains and the author. The asymptotics of the Hankel determinant is obtained by applying the Deift-Zhou steepest-descent method to the Riemann-Hilbert problem for the related orthogonal polynomials.

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