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arXiv quant-ph/0605164quant-phcond-mat.stat-mech
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关联熵在临界现象中的普适作用

Universal role of correlation entropy in critical phenomena

Shi-Jian Gu, Chang-Pu Sun, Hai-Qing Lin

摘要:

在统计物理学中,如果我们将一个平衡系统连续地分成两部分,我们将面临这样一种情况,即在一定长度$ξ$内,一个子系统的物理不再与原系统相同。则违反了热熵$S($ AB $)= S($ A $)+S($ B $)$的广泛性质。这一观察促使我们引入两点之间的关联熵的概念,如信息论中的互信息所度量的,来研究临界现象。建立了一个严格的关系式,以显示由任意两个具有长程关联的远距离粒子组成的子系统的非零关联熵的一些显著特征。这种关系实际上表明了关联熵在理解临界现象中的普遍作用。我们还验证了这些分析研究的热和量子相变的两个研究模型:二维伊辛模型和一维横向场伊辛模型。因此,关联熵从信息论的角度为我们研究临界现象提供了一种新的物理直观。

英文摘要:

In statistical physics, if we successively divide an equilibrium system into two parts, we will face a situation that, within a certain length $ξ$, the physics of a subsystem is no longer the same as the original system. Then the extensive properties of the thermal entropy $S($AB$)= S($A$)+S($B$)$ is violated. This observation motivates us to introduce the concept of correlation entropy between two points, as measured by mutual information in the information theory, to study the critical phenomena. A rigorous relation is established to display some drastic features of the non-vanishing correlation entropy of the subsystem formed by any two distant particles with long-range correlation. This relation actually indicates the universal role of the correlation entropy in understanding critical phenomena. We also verify these analytical studies in terms of two well-studied models for both the thermal and quantum phase transitions: two-dimensional Ising model and one-dimensional transverse field Ising model. Therefore, the correlation entropy provides us with a new physical intuition in critical phenomena from the point of view of the information theory.

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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