arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2203.16243cond-mat.stat-mech
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有记忆的临界现象理论

Theory of Critical Phenomena with Memory

Shaolong Zeng, Sue ping Szeto, Fan Zhong

摘要:

记忆是复杂系统普遍存在的特征,临界现象是自然界中最有趣的现象之一。本文提出了一个具有记忆的伊辛模型,发展了相应的复杂系统的具有记忆的临界现象理论,并发现了一系列令人惊讶的新结果。我们表明,一个天真的理论,一个通常的哈密顿与直接列入幂律衰减长程时间相互作用,从根本上违反了超标度律的所有空间维度,甚至在和低于上临界尺寸。这需要对动力学的哈密顿量进行不可或缺的考虑,而不是仅仅关注相应的动态拉格朗日量的通常做法,以及导致正确理论的变换,其中空间和时间是不可分割地交织在一起的,从而导致有效的空间维度,修复超标度定律。该理论产生了一组新的平均场临界指数,这是不同于通常的朗道的,以及新的普适类。这些指数的验证与记忆的伊辛模型在二维和三维空间的数值模拟。

英文摘要:

Memory is a ubiquitous characteristic of complex systems and critical phenomena are one of the most intriguing phenomena in nature. Here, we propose an Ising model with memory and develop a corresponding theory of critical phenomena with memory for complex systems and discovered a series of surprising novel results. We show that a naive theory of a usual Hamiltonian with a direct inclusion of a power-law decaying long-range temporal interaction violates radically a hyperscaling law for all spatial dimensions even at and below the upper critical dimension. This entails both indispensable consideration of the Hamiltonian for dynamics, rather than the usual practice of just focusing on the corresponding dynamic Lagrangian alone, and transformations that result in a correct theory in which space and time are inextricably interwoven, leading to an effective spatial dimension that repairs the hyperscaling law. The theory gives rise to a set of novel mean-field critical exponents, which are different from the usual Landau ones, as well as new universality classes. These exponents are verified by numerical simulations of the Ising model with memory in two and three spatial dimensions.

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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