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arXiv 0810.3824cond-mat.stat-mech
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具有次近邻相互作用的一维随机横向伊辛模型的动力学

Dynamics of the one-dimensional random transverse Ising model with next-nearest-neighbor interactions

Xiao-Juan Yuan, Xiang-Mu Kong, Zhen-Bo Xu, Zhong-Qiang Liu

摘要:

用递推关系方法研究了具有最近邻和次最近邻相互作用的一维随机横向伊辛模型在高温极限下的动力学行为.计算了两种典型无序态的含时横向关联函数和相应的谱密度。我们发现,对于双峰无序的动力学系统经历了一个交叉从集体模式的行为,一个中心峰和高斯无序的动力学是复杂的。对于这两种情况,发现随着$K_{i}$的增加,中心峰行为变得更加明显,集体模行为变得更弱,特别是当$K_{i}>J_{i}/2$($J_{i}$和$K_{i}$分别是NN和NNN相互作用的交换耦合)时.然而,当NNN相互作用较弱时,影响较小($K_{i}<J_{i}/2$)。

英文摘要:

The dynamics of the one-dimensional random transverse Ising model with both nearest-neighbor (NN) and next-nearest-neighbor (NNN) interactions is studied in the high-temperature limit by the method of recurrence relations. Both the time-dependent transverse correlation function and the corresponding spectral density are calculated for two typical disordered states. We find that for the bimodal disorder the dynamics of the system undergoes a crossover from a collective-mode behavior to a central-peak one and for the Gaussian disorder the dynamics is complex. For both cases, it is found that the central-peak behavior becomes more obvious and the collective-mode behavior becomes weaker as $K_{i}$ increase, especially when $K_{i}>J_{i}/2$ ($J_{i}$ and $K_{i}$ are exchange couplings of the NN and NNN interactions, respectively). However, the effects are small when the NNN interactions are weak ($K_{i}<J_{i}/2$).

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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