Pessoa Pedro, Caticha Ariel
Department of Physics, University at Albany-SUNY, Albany, NY 12222, USA.
Entropy (Basel). 2018 Jan 4;20(1):25. doi: 10.3390/e20010025.
The Renormalization Group (RG) is a set of methods that have been instrumental in tackling problems involving an infinite number of degrees of freedom, such as, for example, in quantum field theory and critical phenomena. What all these methods have in common-which is what explains their success-is that they allow a systematic search for those degrees of freedom that happen to be relevant to the phenomena in question. In the standard approaches the RG transformations are implemented by either coarse graining or through a change of variables. When these transformations are infinitesimal, the formalism can be described as a continuous dynamical flow in a fictitious time parameter. It is generally the case that these exact RG equations are functional diffusion equations. In this paper we show that the exact RG equations can be derived using entropic methods. The RG flow is then described as a form of entropic dynamics of field configurations. Although equivalent to other versions of the RG, in this approach the RG transformations receive a purely inferential interpretation that establishes a clear link to information theory.
重整化群(RG)是一组在解决涉及无限多个自由度的问题时发挥了重要作用的方法,例如在量子场论和临界现象中。所有这些方法的共同之处——这也是它们成功的原因——在于它们允许系统地寻找那些恰好与所讨论的现象相关的自由度。在标准方法中,RG变换通过粗粒化或变量变换来实现。当这些变换是无穷小的时候,形式体系可以被描述为在一个虚拟时间参数中的连续动力学流。通常情况下,这些精确的RG方程是泛函扩散方程。在本文中,我们表明精确的RG方程可以用熵方法推导出来。然后,RG流被描述为场构型的一种熵动力学形式。尽管与RG的其他版本等效,但在这种方法中,RG变换得到了一种纯粹的推理解释,从而建立了与信息论的明确联系。