Exploring the variational method for thermodynamic models

IF 3.1 3区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY
O. Urbański
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引用次数: 0

Abstract

This work explores the possibilities of the Gibbs–Bogoliubov–Feynman variational method, aiming at finding room for designing various drawing schemes. For example, mean-field approximation can be viewed as a result of using site-independent drawing in the variational method. In subsequent sections, progressively complex drawing procedures are presented, starting from site-independent drawing in the k-space. In the next, each site in the real-space is again drawn independently, which is followed by an adjustable linear transformation T. Both approaches are presented on the discrete Ginzburg–Landau model. Subsequently, a percolation-based procedure for the Ising model is developed. It shows a general way of handling multi-stage drawing schemes. Critical inverse temperatures are obtained in two and three dimensions with a few percent discrepancy from exact values. Finally, it is shown that results in the style of the real-space renormalization group can be achieved by suitable fractal-like drawing. This facilitates a new straight-forward approach to establishing the renormalization transformation, but primarily provides a new view on the method. While the first two approaches are capable of capturing long-range correlations, they are not able to reproduce the critical behavior accurately. The main findings of the paper are developing the method of handling intricate drawing procedures and identifying the need of fractality in these schemes to grasp the critical behavior.
探索热力学模型的变分方法
这项工作探讨了Gibbs-Bogoliubov-Feynman变分方法的可能性,旨在为设计各种绘图方案找到空间。例如,平均场近似可以看作是在变分方法中使用与位置无关的绘图的结果。在随后的章节中,将介绍逐步复杂的绘图过程,从k空间中与站点无关的绘图开始。接下来,再次独立绘制实空间中的每个站点,然后进行可调线性变换t。这两种方法都是在离散的Ginzburg-Landau模型上提出的。随后,为伊辛模型开发了一个基于渗流的程序。给出了处理多阶段绘图方案的一般方法。临界逆温度在二维和三维得到,与精确值有几个百分点的差异。最后,通过适当的类分形绘图可以得到实空间重整化群样式的结果。这为建立重整化转换提供了一种新的直接方法,但主要提供了该方法的新视图。虽然前两种方法能够捕获远程相关性,但它们不能准确地再现临界行为。本文的主要发现是开发了处理复杂绘图程序的方法,并确定了在这些方案中需要分形来掌握关键行为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.20
自引率
9.10%
发文量
852
审稿时长
6.6 months
期刊介绍: Physica A: Statistical Mechanics and its Applications Recognized by the European Physical Society Physica A publishes research in the field of statistical mechanics and its applications. Statistical mechanics sets out to explain the behaviour of macroscopic systems by studying the statistical properties of their microscopic constituents. Applications of the techniques of statistical mechanics are widespread, and include: applications to physical systems such as solids, liquids and gases; applications to chemical and biological systems (colloids, interfaces, complex fluids, polymers and biopolymers, cell physics); and other interdisciplinary applications to for instance biological, economical and sociological systems.
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