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Optimal Linear Glauber Model

机译:最佳线性格劳伯模型

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Contrary to the actual nonlinear Glauber model, the linear Glauber model (LGM) is exactly solvable, although the detailed balance condition is not generally satisfied. This motivates us to address the issue of writing the transition rate () in a best possible linear form such that the mean squared error in satisfying the detailed balance condition is least. The advantage of this work is that, by studying the LGM analytically, we will be able to anticipate how the kinetic properties of an arbitrary Ising system depend on the temperature and the coupling constants. The analytical expressions for the optimal values of the parameters involved in the linear are obtained using a simple Moore-Penrose pseudoinverse matrix. This approach is quite general, in principle applicable to any system and can reproduce the exact results for one dimensional Ising system. In the continuum limit, we get a linear time-dependent Ginzburg-Landau equation from the Glauber's microscopic model of non-conservative dynamics. We analyze the critical and dynamic properties of the model, and show that most of the important results obtained in different studies can be reproduced by our new mathematical approach. We will also show in this paper that the effect of magnetic field can easily be studied within our approach; in particular, we show that the inverse of relaxation time changes quadratically with (weak) magnetic field and that the fluctuation-dissipation theorem is valid for our model.
机译:与实际的非线性Glauber模型相反,线性Glauber模型(LGM)可以精确求解,尽管一般不满足详细的平衡条件。这促使我们解决以最佳可能的线性形式写入过渡率()的问题,以使满足详细平衡条件的均方误差最小。这项工作的优势在于,通过对LGM进行分析研究,我们将能够预测任意Ising系统的动力学特性如何取决于温度和耦合常数。使用简单的Moore-Penrose伪逆矩阵可获得线性参数的最佳值的解析表达式。这种方法非常通用,原则上适用于任何系统,并且可以为一维Ising系统重现准确的结果。在连续极限中,我们从非保守动力学的Glauber微观模型中获得了线性时间相关的Ginzburg-Landau方程。我们分析了模型的关键和动态特性,并表明通过新的数学方法可以再现在不同研究中获得的大多数重要结果。我们还将在本文中表明,在我们的方法中可以轻松地研究磁场的影响。特别是,我们证明了松弛时间的倒数随(弱)磁场呈二次方变化,并且波动耗散定理对我们的模型有效。

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