The non-linear supersymmetric hyperbolic sigma model on a complete graph with hierarchical interactions

IF 0.6 4区 数学 Q4 STATISTICS & PROBABILITY
M. Disertori, F. Merkl, S. Rolles
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引用次数: 1

Abstract

. We study the non-linear supersymmetric hyperbolic sigma model H 2 | 2 on a complete graph with hierarchical interactions. For interactions which do not decrease too fast in the hierarchical distance, we prove tightness of certain spin variables in horospherical coordinates, uniformly in the pinning and in the size of the graph. The proof relies on a reduction to an effective H 2 | 2 -model; its size is logarithmic in the size of the original model. The model deals with spin variables taking values in the H with two Grassmann components over the hyperboloid , 0 . The model has supersymmetries, which extend the generators of the Lorentz group acting on H 2 . In Disertori et al. (2010), Disertori, Spencer, and Zirnbauer examine this model over boxes in Z d , d ≥ 3 . For sufficiently small temperature, they derive moment estimates and conclude that the spins are aligned with high probability. For high temperature in any dimension d , Disertori and Spencer (2010) show exponential decay
具有层次交互作用的完备图上的非线性超对称双曲西格玛模型
研究了具有层次相互作用的完备图上的非线性超对称双曲西格玛模型H2|2。对于在层次距离中减少不太快的相互作用,我们证明了某些自旋变量在星形坐标系中的紧密性,在钉扎和图的大小中是一致的。证明依赖于对有效的H2|2-模型的简化;它的大小是原始模型大小的对数。该模型处理了在双曲面0上具有两个格拉斯曼分量的H中取值的自旋变量。该模型具有超对称性,扩展了洛伦兹群作用于H2的生成元。在Disertori等人(2010)中,Disertori、Spencer和Zirnbauer在Z d,d≥3的盒子上检验了这个模型。对于非常小的温度,他们推导出矩估计,并得出自旋排列的概率很高的结论。对于任何维度d的高温,Disertori和Spencer(2010)都显示出指数衰减
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来源期刊
CiteScore
1.10
自引率
0.00%
发文量
48
期刊介绍: ALEA publishes research articles in probability theory, stochastic processes, mathematical statistics, and their applications. It publishes also review articles of subjects which developed considerably in recent years. All articles submitted go through a rigorous refereeing process by peers and are published immediately after accepted. ALEA is an electronic journal of the Latin-american probability and statistical community which provides open access to all of its content and uses only free programs. Authors are allowed to deposit their published article into their institutional repository, freely and with no embargo, as long as they acknowledge the source of the paper. ALEA is affiliated with the Institute of Mathematical Statistics.
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