连续随机场伊辛链的无限无序重正化定点

IF 1.5 1区 数学 Q2 STATISTICS & PROBABILITY Probability Theory and Related Fields Pub Date : 2024-04-29 DOI:10.1007/s00440-024-01284-2
Orphée Collin, Giambattista Giacomin, Yueyun Hu
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引用次数: 0

摘要

我们考虑的是一维随机场伊辛模型的连续体版本:该模型是作为原始伊辛模型的弱无序缩放极限而自然产生的。与伊辛模型一样,自旋构型可以方便地描述为一系列符号交替的自旋畴(畴-壁结构)。我们的研究表明,对于固定中心的外场,当自旋-自旋耦合变得很大时,畴-壁结构会扩展到一个依赖于无序的极限,这与费雪(D. S. Fisher)在零温量子伊辛链中引入的无限无序定点过程相吻合。特别是,我们的结果证实了费舍尔等人(Phys Rev E 64:41, 2001)的一系列预测。以外部场为中心的无限无序定点过程等同于由 Neveu 和 Pitman 引入并研究的布朗轨迹的适当选择极值过程(in:Séminaire de probabilités XXIII.数学讲义,第 1372 卷,第 239-247 页,1989 年)。无限无序定点的这一特征是我们分析的重要内容之一。
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Infinite disorder renormalization fixed point for the continuum random field Ising chain

We consider the continuum version of the random field Ising model in one dimension: this model arises naturally as weak disorder scaling limit of the original Ising model. Like for the Ising model, a spin configuration is conveniently described as a sequence of spin domains with alternating signs (domain-wall structure). We show that for fixed centered external field and as spin-spin couplings become large, the domain-wall structure scales to a disorder dependent limit that coincides with the infinite disorder fixed point process introduced by D. S. Fisher in the context of zero temperature quantum Ising chains. In particular, our results establish a number of predictions that one can find in Fisher et al. (Phys Rev E 64:41, 2001). The infinite disorder fixed point process for centered external field is equivalently described in terms of the process of suitably selected extrema of a Brownian trajectory introduced and studied by Neveu and Pitman (in: Séminaire de probabilités XXIII. Lecture notes in mathematics, vol 1372, pp 239–247, 1989). This characterization of the infinite disorder fixed point is one of the important ingredients of our analysis.

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来源期刊
Probability Theory and Related Fields
Probability Theory and Related Fields 数学-统计学与概率论
CiteScore
3.70
自引率
5.00%
发文量
71
审稿时长
6-12 weeks
期刊介绍: Probability Theory and Related Fields publishes research papers in modern probability theory and its various fields of application. Thus, subjects of interest include: mathematical statistical physics, mathematical statistics, mathematical biology, theoretical computer science, and applications of probability theory to other areas of mathematics such as combinatorics, analysis, ergodic theory and geometry. Survey papers on emerging areas of importance may be considered for publication. The main languages of publication are English, French and German.
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