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The renormalization group and optimization of entropy

机译:重归一化组和熵的优化

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We illustrate the possible connection that exists between the extremal properties of entropy expressions and the renormalization group (RG) approach when applied to systems with scaling symmetry. We consider three examples: (1) Gaussian fixed-point criticality in a fluid or in the capillary-wave model or an interface; (2) Levy-like random walks with self-similar cluster formation; and (3) long-ranged bond percolation. In all cases we find a decreasing entropy function that becomes minimum under an appropriate constraint at the fixed point. We use an equivalence between random-walk distributions and order-parameter pair correlations in a simple fluid or magnet to study how the dimensional anomaly at criticality relates to walks with long-tailed distributions. [References: 19]
机译:我们说明了当将熵表达式的极值属性应用于具有缩放对称性的系统时,熵表达的极值属性与重归一化组(RG)方法之间可能存在的联系。我们考虑三个例子:(1)流体或毛细管波模型或界面中的高斯定点临界点; (2)具有自相似簇形成的类征状随机游走; (3)远程债券渗透。在所有情况下,我们都发现一个递减的熵函数在固定点处的适当约束下变为最小值。我们在简单的流体或磁体中使用随机游走分布与阶数参数对相关性之间的等价关系,研究临界点的尺寸异常如何与长尾分布的游走相关。 [参考:19]

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