Rewriting History in Integrable Stochastic Particle Systems

IF 2.2 1区 物理与天体物理 Q1 PHYSICS, MATHEMATICAL Communications in Mathematical Physics Pub Date : 2024-11-29 DOI:10.1007/s00220-024-05189-y
Leonid Petrov, Axel Saenz
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Abstract

Many integrable stochastic particle systems in one space dimension (such as TASEP—Totally Asymmetric Simple Exclusion Process—and its q-deformation, the q-TASEP) remain integrable if we equip each particle with its own speed parameter. In this work, we present intertwining relations between Markov transition operators of particle systems which differ by a permutation of the speed parameters. These relations generalize our previous works (Petrov and Saenz in Probab Theory Relat Fields 182:481–530, 2022), (Petrov in SIGMA 17(021):34, 2021), but here we employ a novel approach based on the Yang-Baxter equation for the higher spin stochastic six vertex model. Our intertwiners are Markov transition operators, which leads to interesting probabilistic consequences. First, we obtain a new Lax-type differential equation for the Markov transition semigroups of homogeneous, continuous-time versions of our particle systems. Our Lax equation encodes the time evolution of multipoint observables of the q-TASEP and TASEP in a unified way, which may be of interest for the asymptotic analysis of multipoint observables of these systems. Second, we show that our intertwining relations lead to couplings between probability measures on trajectories of particle systems which differ by a permutation of the speed parameters. The conditional distribution for such a coupling is realized as a “rewriting history” random walk which randomly resamples the trajectory of a particle in a chamber determined by the trajectories of the neighboring particles. As a byproduct, we construct a new coupling for standard Poisson processes on the positive real half-line with different rates.

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在可积分随机粒子系统中重写历史
如果我们为每个粒子配备自己的速度参数,许多在一个空间维度上可积分的随机粒子系统(如 TASEP--完全不对称简单排除过程--及其 q-变形,即 q-TASEP)仍然是可积分的。在这项工作中,我们提出了粒子系统马尔可夫变换算子之间的交织关系,这些算子因速度参数的排列而不同。这些关系概括了我们以前的工作(彼得罗夫和萨恩兹在 Probab Theory Relat Fields 182:481-530, 2022 年),(彼得罗夫在 SIGMA 17(021):34, 2021 年),但在这里我们采用了一种基于杨-巴克斯特方程的高自旋随机六顶点模型的新方法。我们的交织器是马尔可夫转换算子,这导致了有趣的概率后果。首先,我们为粒子系统的同质连续时间版本的马尔可夫转换半群得到了一个新的 Lax 型微分方程。我们的拉克斯方程以统一的方式编码了 q-TASEP 和 TASEP 的多点观测值的时间演化,这对于这些系统的多点观测值的渐近分析可能很有意义。其次,我们证明了我们的交织关系会导致粒子系统轨迹上的概率度量之间的耦合,而这种耦合是通过速度参数的排列来实现的。这种耦合的条件分布是以 "重写历史 "随机行走的方式实现的,它在一个由相邻粒子轨迹决定的腔室中对粒子轨迹进行随机重样。作为副产品,我们为不同速率的正实半线上的标准泊松过程构建了一种新的耦合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Communications in Mathematical Physics
Communications in Mathematical Physics 物理-物理:数学物理
CiteScore
4.70
自引率
8.30%
发文量
226
审稿时长
3-6 weeks
期刊介绍: The mission of Communications in Mathematical Physics is to offer a high forum for works which are motivated by the vision and the challenges of modern physics and which at the same time meet the highest mathematical standards.
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