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arXiv 1703.09503cond-mat.stat-mech
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3D回路汤模型的通用行为

Universal behaviour of 3D loop soup models

Daniel Ueltschi

摘要:

这些注释描述了几个环路汤模型及其{ \it通用行为},其维数大于或等于3。这些环模型代表了某些经典或量子统计力学系统。这些系统经历相变,其特征在于环路结构的变化。也就是说,长程序等价于宏观环的出现。有许多这样的循环,它们的长度的联合分布总是由{ \it Poisson-Dirichlet分布}给出。这种分布涉及随机分区,在统计物理学中并不广为人知。我们明确地介绍它,我们解释说,它是一个平均场分裂合并过程的不变测度。它与空间模型相关,因为宏观环是如此交织,以至于它们以平均场的方式有效地表现。这种方法可以精确地计算泊松-狄利克雷分布的参数。我们讨论了某些量子自旋系统中对称性破缺的后果。

英文摘要:

These notes describe several loop soup models and their {\it universal behaviour} in dimensions greater or equal to 3. These loop models represent certain classical or quantum statistical mechanical systems. These systems undergo phase transitions that are characterised by changes in the structures of the loops. Namely, long-range order is equivalent to the occurrence of macroscopic loops. There are many such loops, and the joint distribution of their lengths is always given by a {\it Poisson-Dirichlet distribution}. This distribution concerns random partitions and it is not widely known in statistical physics. We introduce it explicitly, and we explain that it is the invariant measure of a mean-field split-merge process. It is relevant to spatial models because the macroscopic loops are so intertwined that they behave effectively in mean-field fashion. This heuristics can be made exact and it allows to calculate the parameter of the Poisson-Dirichlet distribution. We discuss consequences about symmetry breaking in certain quantum spin systems.

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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