一类保守系统的平均场极限与位置相关的转换率

IF 1.3 3区 物理与天体物理 Q3 PHYSICS, MATHEMATICAL Journal of Statistical Physics Pub Date : 2024-11-22 DOI:10.1007/s10955-024-03372-y
Xiaofeng Xue
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引用次数: 0

摘要

在本文中,我们关注的是一类保守系统,包括非对称排阻过程和零程过程,其中一些粒子最初被放置在 N 个位置上。粒子从一个位置跳跃到另一个位置的速率取决于这两个位置的坐标和这两个位置上粒子的数量。我们的研究表明,我们模型的流体力学极限是由一个非线性函数值常微分方程驱动的,这与均值场分析是一致的。此外,在所有位置上的粒子数都受\(\mathcal {K}<+\infty \)约束的情况下,我们证明了我们模型的波动是由广义的奥恩斯坦-乌伦贝克过程驱动的。证明我们主要结果的关键步骤是利用图形方法证明不同位置上的粒子数近似独立。
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Mean Field Limits of a Class of Conservative Systems with Position-Dependent Transition Rates

In this paper, we are concerned with a class of conservative systems including asymmetric exclusion processes and zero-range processes as examples, where some particles are initially placed on N positions. A particle jumps from a position to another at a rate depending on the coordinates of these two positions and the number of particles on these two positions. We show that the hydrodynamic limit of our model is driven by a nonlinear function-valued ordinary differential equation which is consistent with a mean field analysis. Furthermore, in the case where the number of particles on all positions are bounded by \(\mathcal {K}<+\infty \), we show that the fluctuation of our model is driven by a generalized Ornstein–Uhlenbeck process. A crucial step in the proofs of our main results is to show that the number of particles on different positions are approximately independent by utilizing a graphical method.

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来源期刊
Journal of Statistical Physics
Journal of Statistical Physics 物理-物理:数学物理
CiteScore
3.10
自引率
12.50%
发文量
152
审稿时长
3-6 weeks
期刊介绍: The Journal of Statistical Physics publishes original and invited review papers in all areas of statistical physics as well as in related fields concerned with collective phenomena in physical systems.
期刊最新文献
Mean Field Limits of a Class of Conservative Systems with Position-Dependent Transition Rates Maxentropy Completion and Properties of Some Partially Defined Stationary Markov Chains Dynamical Transition of Quantum Scrambling in a Non-Hermitian Floquet Synthetic System Hidden Temperature in the KMP Model Bad Local Minima Exist in the Stochastic Block Model
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