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arXiv 1606.02594cond-mat.stat-mech
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自旋系统的无系综组态温度

Ensemble-free configurational temperature for spin systems

G. Palma, G. Gutiérrez, S. Davis

摘要:

在贝叶斯统计力学和最大熵原理的框架下,导出了任意系综中动力学温度的一个估计。我们测试这个估计数值模拟的二维XY模型的正则系综。由于该模型在低于Berezinski-Kosterlitz-无温度的临界温度$T_{BKT}$的整个温度区域中是临界的,因此我们使用Wolff单簇算法的推广。数值结果使我们能够确认的温度的微观估计的解析表达式的鲁棒性。这种微观估计的优点还在于,它给出了热化过程的直接测量,并可用于计算与统计波动相关的绝对误差。因此,这个估计允许一个直接的,绝对的和收敛的测试的遍历性的基本马尔可夫过程,编码的算法中使用的数值模拟。

英文摘要:

An estimator for the dynamical temperature in an arbitrary ensemble is derived in the framework of Bayesian statistical mechanics and the maximum entropy principle. We test this estimator numerically by a simulation of the two-dimensional XY-model in the canonical ensemble. As this model is critical in the whole region of temperatures below the Berezinski-Kosterlitz-Thouless critical temperature $T_{BKT}$, we use a generalization of Wolff's uni-cluster algorithm. The numerical results allow us to confirm the robustness of the analytical expression for the microscopic estimator of the temperature. This microscopic estimator has also the advantage that it gives a direct measure of the thermalization process and can be used to compute absolute errors associated to statistical fluctuations. In consequence, this estimator allows for a direct, absolute and astringent test of the ergodicity of the underlying Markov process, which encodes the algorithm used in a numerical simulation.

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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