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Nonintersecting Paths, Noncolliding Diffusion Processes and Representation Theory

机译:非相互作用路径,非滑动扩散过程和   表征理论

摘要

The system of one-dimensional symmetric simple random walks, in which none ofwalkers have met others in a given time period, is called the vicious walkermodel. It was introduced by Michael Fisher and applications of the model tovarious wetting and melting phenomena were described in his Boltzmann medallecture. In the present report, we explain interesting connections amongrepresentation theory, probability theory, and random matrix theory using thissimple diffusion particle system. Each vicious walk of $N$ walkers isrepresented by an $N$-tuple of nonintersecting lattice paths on thespatio-temporal plane. There is established a simple bijection betweennonintersecting lattice paths and semistandard Young tableaux. Based on thisbijection and some knowledge of symmetric polynomials called the Schurfunctions, we can give a determinantal expression to the partition function ofvicious walks, which is regarded as a special case of the Karlin-McGregorformula in the probability theory (or the Lindstr\"om-Gessel-Viennot formula inthe enumerative combinatorics). Due to a basic property of Schur function, wecan take the diffusion scaling limit of the vicious walks and define anoncolliding system of Brownian particles. This diffusion process solves thestochastic differential equations with the drift terms acting as the repulsivetwo-body forces proportional to the inverse of distances between particles, andthus it is identified with Dyson's Brownian motion model. In other words, theobtained noncolliding system of Brownian particles is equivalent indistribution with the eigenvalue process of a Hermitian matrix-valued process.
机译:一维对称简单随机游走的系统被称为恶性步行者模型,其中步行者在给定的时间内没有遇到其他人。它是由迈克尔·费舍尔(Michael Fisher)提出的,并在他的玻耳兹曼(Boltzmann)奖章中描述了该模型在各种润湿和熔化现象中的应用。在本报告中,我们使用这种简单的扩散粒子系统解释了表示论,概率论和随机矩阵论之间的有趣联系。 $ N $步行者的每次恶行都是由时空平面上非相交的$ N $元组的格状路径表示的。在不相交的晶格路径与半标准Young tableaux之间建立了简单的双射。基于这个射手和对称多项式的已知Schurfunctions知识,我们可以对恶步的分区函数给出行列式表达式,这在概率论中被视为Karlin-McGregorformula的特例(或Lindstr \“ om-归纳组合中的Gessel-Viennot公式)。由于Schur函数的基本性质,我们可以利用恶性步态的扩散比例极限,定义布朗粒子的非碰撞系统,这种扩散过程解决了随机微分方程,其中漂移项充当排斥力与粒子之间的距离成反比,因此可以用戴森的布朗运动模型进行识别,换言之,获得的布朗粒子的非碰撞系统与厄米矩阵值过程的特征值过程等价分布。

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  • 年度 2005
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