arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2004.05134cond-mat.stat-mechphysics.soc-ph
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具有可变自旋/代理强度的伊辛模型

Ising model with variable spin/agent strengths

Mariana Krasnytska, Bertrand Berche, Yurij Holovatch, Ralph Kenna

摘要:

我们引入不同的自旋强度的伊辛模型,统计物理学的核心支柱。考虑到非均匀的物理系统,但也预期跨学科的应用,我们提出了不同程度的复杂性的网络结构的模型。我们解决了它的一般情况下的幂律自旋强度,并发现,与自平均自由能,该模型具有丰富的相图与新的普适性类。事实上,可变自旋增加的复杂程度与赋予简单网络越来越逼真的几何形状所增加的复杂程度不相上下。它适用于在自旋或代理的非同一性起着重要作用的背景下对多体系统中的涌现现象进行建模,并用于导出物理学之外的统计物理概念。

英文摘要:

We introduce varying spin strengths to the Ising model, a central pillar of statistical physics. With inhomogeneous physical systems in mind, but also anticipating interdisciplinary applications, we present the model on network structures of varying degrees of complexity. We solve it for the generic case of power-law spin strength and find that, with a self-averaging free energy, the model has a rich phase diagram with new universality classes. Indeed, the degree of complexity added by variable spins is on a par to that added by endowing simple networks with increasingly realistic geometries. It is suitable for modeling emergent phenomena in many-body systems in contexts where non-identicality of spins or agents plays an essential role and for exporting statistical physics concepts beyond physics.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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