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首页> 外文期刊>Physica, A. Statistical mechanics and its applications >Dynamics of the one-dimensional random transverse Ising model with next-nearest-neighbor interactions
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Dynamics of the one-dimensional random transverse Ising model with next-nearest-neighbor interactions

机译:下一邻域相互作用的一维随机横向伊辛模型的动力学

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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 case of bimodal disorder the dynamics of the system undergoes a crossover from a collective-mode behavior to a central-peak one and for the case of 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 the 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).
机译:利用递归关系法研究了在高温极限下具有最近邻(NN)和下一近邻(NNN)相互作用的一维随机横向伊辛模型的动力学。对于两种典型的无序状态,都计算了时间相关的横向相关函数和相应的光谱密度。我们发现,对于双峰无序的情况,系统的动力学经历了从集体模式行为到中心峰行为的交叉;对于高斯无序的情况,系统动力学是复杂的。对于这两种情况,发现随着Ki的增加,中心峰行为变得更加明显,而集体模式行为变得更弱,尤其是当Ki> J(i)/ 2(J(i)和Ki是NN和NNN交互)。但是,当NNN交互作用较弱时(K-i

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