Temporal Correlation in the Inverse-Gamma Polymer

IF 2.2 1区 物理与天体物理 Q1 PHYSICS, MATHEMATICAL Communications in Mathematical Physics Pub Date : 2024-07-01 DOI:10.1007/s00220-024-05035-1
Riddhipratim Basu, Timo Seppäläinen, Xiao Shen
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Abstract

Understanding the decay of correlations in time for (1+1)-dimensional polymer models in the KPZ universality class has been a challenging topic. Following numerical studies by physicists, concrete conjectures were formulated by Ferrari and Spohn [34] in the context of planar exponential last passage percolation. These have mostly been resolved by various authors. In the context of positive temperature lattice models, however, these questions have remained open. We consider the time correlation problem for the exactly solvable inverse-gamma polymer in \(\mathbb Z^2\). We establish, up to constant factors, upper and lower bounds on the correlation between free energy functions for two polymers rooted at the origin (droplet initial condition) when the endpoints are either close together or far apart. We find the same exponents as predicted in [34]. Our arguments rely on the understanding of stationary polymers, coupling, and random walk comparison. We use recently established moderate deviation estimates for the free energy. In particular, we do not require asymptotic analysis of complicated exact formulae.

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反伽马聚合物中的时间相关性
理解 KPZ 普遍性类中 (1+1) 维聚合物模型的相关性随时间的衰减一直是一个具有挑战性的课题。在物理学家进行数值研究之后,Ferrari 和 Spohn [34] 在平面指数最后通道渗流的背景下提出了具体猜想。这些猜想大多已被不同学者解决。然而,在正温度晶格模型中,这些问题仍然悬而未决。我们考虑的是\(\mathbb Z^2\)中可精确求解的反伽马聚合物的时间相关性问题。我们确定了当两个聚合物的端点相距很近或很远时,其自由能函数之间的相关性上限和下限,最高可达常数因子。我们发现了与 [34] 中预测的相同的指数。我们的论证依赖于对静止聚合物、耦合和随机行走比较的理解。我们使用最近建立的自由能中等偏差估计值。特别是,我们不需要对复杂的精确公式进行渐近分析。
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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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