Metastability of the three-state Potts model with asymmetrical external field

IF 1.1 2区 数学 Q3 STATISTICS & PROBABILITY Stochastic Processes and their Applications Pub Date : 2024-06-28 DOI:10.1016/j.spa.2024.104423
Jeonghyun Ahn
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Abstract

In this paper, we explore the metastable behavior of the Glauber dynamics associated with the three-state Potts model with an asymmetrical external field at a low-temperature regime. The model exhibits three monochromatic configurations: a unique stable state and two metastable states with different stability levels. We investigate metastable transitions, which are transitions from each metastable state to the ground state, separately and verify that the two transitions exhibit different behaviors.

For the metastable state with greater stability, we derive large deviation-type results for metastable transition time, both in terms of probability and expectation. On the other hand, a particularly intriguing phenomenon emerges when starting from the other metastable state: the process may fall into the deep valley of another metastable state with a low probability but remains trapped there for an exponentially long time. We identify specific conditions on the external field under which this rare event contributes to the mean hitting time. To this end, we conduct a detailed analysis of the energy landscape, revealing a sharp saddle configuration analogous to the Ising model.

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具有非对称外场的三态波茨模型的转移性
在本文中,我们探讨了与三态波特斯模型相关的格劳伯动力学在低温条件下的非对称外场的陨变行为。该模型表现出三种单色构型:一种独特的稳定状态和两种具有不同稳定水平的陨变状态。我们分别研究了从每个态到基态的蜕变,并验证了这两种蜕变表现出不同的行为。对于稳定性较高的蜕变态,我们从概率和期望两个方面推导出了蜕变态蜕变时间的大偏差型结果。另一方面,当从另一种蜕变态开始时,会出现一个特别有趣的现象:过程可能会以较低的概率跌入另一种蜕变态的深谷,但会在那里停留指数级长的时间。我们确定了外部场的具体条件,在这些条件下,这种罕见事件会对平均命中时间产生影响。为此,我们对能量景观进行了详细分析,发现了一个类似于伊辛模型的尖锐鞍形构型。
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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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