arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1809.02883cond-mat.stat-mech
收藏

临界附近关联长度计算中的噪声-噪声比

Noise-to-Noise Ratios in Correlation Length Calculations Near Criticality

Avishay Efrat

摘要:

对于有限随机系统,可以定义两种类型的方差(噪声)。它表明,它们的比率是有用的计算一个无限的,而一般的随机系统的相关长度,作为温度的函数。获得这些变量的数值方法是不相关的。它可以是实空间数值重整化、模拟或任何其他方法。这不要紧。然后,通过这种新技术获得的相关长度可以用于直接获得临界相关指数$ν$,而不是像通常那样使用比例关系间接获得。通过将该方法应用于随机场伊辛模型,证明了该方法的有效性。

英文摘要:

For finite random systems, it is possible to define two types of variances (noises). It is demonstrated that their ratio is useful in calculating the correlation length of an infinite and rather general random system, as a function of temperature. The numerical method of obtaining those variables is not relevant. It can be real space numerical renormalization, simulation or any other method. It does not matter. The correlation length obtained by this novel technique may then be used to obtain directly the critical correlation exponent, $ν$, rather than indirectly, using scaling relations, as is often done. The method is demonstrated by applying it to the random field Ising model.

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。

↑