论文标题

离散的惠特克过程

Discrete Whittaker processes

论文作者

O'Connell, Neil

论文摘要

我们考虑在给定形状(并满足某些约束)的非阴性整数阵列上的马尔可夫链,该数组与基本$ sl密切相关(r+1,\ mathbb {r})$ whittaker函数和toda lattice。在索引零情况下,阵列是反向平面分区。我们表明,这座马尔可夫连锁店具有非平凡的马尔可夫预测和独特的入口法,从阵列开始,所有条目等于$+\ infty $。我们还讨论了与布朗运动的假想指数功能的连接,布朗运动是一种纯粹想象中的疾病,相互作用的角生长过程和离散$δ$ bose气体,对其他根系的扩展以及对某些低等级示例的命中概率。

We consider a Markov chain on non-negative integer arrays of a given shape (and satisfying certain constraints) which is closely related to fundamental $SL(r+1,\mathbb{R})$ Whittaker functions and the Toda lattice. In the index zero case the arrays are reverse plane partitions. We show that this Markov chain has non-trivial Markovian projections and a unique entrance law starting from the array with all entries equal to $+\infty$. We also discuss connections with imaginary exponential functionals of Brownian motion, a semi-discrete polymer model with purely imaginary disorder, interacting corner growth processes and discrete $δ$-Bose gas, extensions to other root systems, and hitting probabilities for some low rank examples.

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