雅可比过程的维格纳和马琴科-帕斯图尔型极限定理

Pub Date : 2024-04-11 DOI:10.1007/s10959-024-01332-6
Martin Auer, Michael Voit, Jeannette H. C. Woerner
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引用次数: 0

摘要

我们研究了雅可比过程 \((X_{t})_{t\ge 0}\) on \([-1,1]^N\) and\([1,\infty [^N\) which are motivated by the Heckman-Opdam theory and associated integrable particle systems.这些过程取决于三个正参数,并在冻结极限退化为确定性动力学系统的解。在紧凑情况下,这些模型趋向于贾可比集合的分布,在冻结情况下,趋向于由一维雅可比多项式的有序零点组成的向量。我们为 N 个粒子在某个局部尺度上的经验分布推导出了维格纳半圆和马琴科-帕斯图尔极限定律的近似值。我们允许任意初始条件,它们通过自由卷积进入极限分布。这些结果概括了紧凑情况下 \(\beta \)-雅可比集合的相应静态极限结果,以及确定性情况下雅可比多项式有序零点的经验分布。这些结果还与多变量贝塞尔过程的自由极限定理、\(\beta \)-Hermite和\(\beta \)-Laguerre集合以及\(N\rightarrow \infty \)的Hermite和Laguerre多项式零点的渐近经验分布有关。
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Wigner- and Marchenko–Pastur-Type Limit Theorems for Jacobi Processes

We study Jacobi processes \((X_{t})_{t\ge 0}\) on \([-1,1]^N\) and \([1,\infty [^N\) which are motivated by the Heckman–Opdam theory and associated integrable particle systems. These processes depend on three positive parameters and degenerate in the freezing limit to solutions of deterministic dynamical systems. In the compact case, these models tend for \(t\rightarrow \infty \) to the distributions of the \(\beta \)-Jacobi ensembles and, in the freezing case, to vectors consisting of ordered zeros of one-dimensional Jacobi polynomials. We derive almost sure analogues of Wigner’s semicircle and Marchenko–Pastur limit laws for \(N\rightarrow \infty \) for the empirical distributions of the N particles on some local scale. We there allow for arbitrary initial conditions, which enter the limiting distributions via free convolutions. These results generalize corresponding stationary limit results in the compact case for \(\beta \)-Jacobi ensembles and, in the deterministic case, for the empirical distributions of the ordered zeros of Jacobi polynomials. The results are also related to free limit theorems for multivariate Bessel processes, \(\beta \)-Hermite and \(\beta \)-Laguerre ensembles, and the asymptotic empirical distributions of the zeros of Hermite and Laguerre polynomials for \(N\rightarrow \infty \).

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