Convergence of the open WASEP stationary measure without Liggett’s condition

IF 1.2 2区 数学 Q3 STATISTICS & PROBABILITY Stochastic Processes and their Applications Pub Date : 2025-07-01 Epub Date: 2025-03-20 DOI:10.1016/j.spa.2025.104634
Zoe Himwich
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Abstract

We demonstrate that Liggett’s condition can be relaxed without disrupting the convergence of open ASEP stationary measures to the open KPZ stationary measure. This is equivalent to demonstrating that, under weak asymmetry scaling and appropriate scaling of time and space, the four-parameter Askey–Wilson process converges to a two-parameter continuous dual Hahn process. We conjecture that the convergence of the open ASEP height function process to solutions to the open KPZ equation will hold for a wider range of ASEP parameters than those permitted by Liggett’s condition.
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无Liggett条件下开放WASEP平稳测度的收敛性
我们证明了在不破坏开放ASEP平稳测度向开放KPZ平稳测度收敛的情况下,可以放宽Liggett条件。这相当于证明,在弱不对称标度和适当的时空标度下,四参数Askey-Wilson过程收敛为一个两参数连续对偶Hahn过程。我们推测开放的ASEP高度函数过程对开放的KPZ方程解的收敛性将在比Liggett条件允许的更大范围的ASEP参数下保持。
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来源期刊
Stochastic Processes and their Applications
Stochastic Processes and their Applications 数学-统计学与概率论
CiteScore
2.90
自引率
7.10%
发文量
180
审稿时长
23.6 weeks
期刊介绍: Stochastic Processes and their Applications publishes papers on the theory and applications of stochastic processes. It is concerned with concepts and techniques, and is oriented towards a broad spectrum of mathematical, scientific and engineering interests. Characterization, structural properties, inference and control of stochastic processes are covered. The journal is exacting and scholarly in its standards. Every effort is made to promote innovation, vitality, and communication between disciplines. All papers are refereed.
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