Mean-field behavior of Nearest-Neighbor Oriented Percolation on the BCC Lattice Above 8 + 1 Dimensions

IF 0.9 3区 数学 Q3 MATHEMATICS, APPLIED
Lung-Chi Chen, Satoshi Handa, Yoshinori Kamijima
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引用次数: 0

Abstract

In this paper, we consider nearest-neighbor oriented percolation with independent Bernoulli bond-occupation probability on the d-dimensional body-centered cubic (BCC) lattice \({\mathbb {L}^d}\) and the set of non-negative integers \({{\mathbb {Z}}_+}\). Thanks to the orderly structure of the BCC lattice, we prove that the infrared bound holds on \({\mathbb {L}^d} \times {{\mathbb {Z}}_+}\) in all dimensions \(d\ge 9\). As opposed to ordinary percolation, we have to deal with complex numbers due to asymmetry induced by time-orientation, which makes it hard to bound the bootstrap functions in the lace-expansion analysis. By investigating the Fourier–Laplace transform of the random-walk Green function and the two-point function, we derive the key properties to obtain the upper bounds and resolve a problematic issue in Nguyen and Yang’s bound. The issue is caused by the fact that the Fourier transform of the random-walk transition probability can take the value \(-1\).

8 + 1维以上BCC格上最近邻定向渗流的平均场行为
本文考虑了d维体心立方(BCC)晶格\({\mathbb {L}^d}\)和非负整数集\({{\mathbb {Z}}_+}\)上具有独立伯努利键占据概率的最近邻定向渗流。由于BCC晶格的有序结构,我们证明了红外界在所有维度\(d\ge 9\)上都成立\({\mathbb {L}^d} \times {{\mathbb {Z}}_+}\)。与普通渗流不同,由于时间取向引起的不对称性,我们必须处理复数,这使得在鞋带展开分析中很难约束自举函数。通过研究随机游走的Green函数和两点函数的傅里叶-拉普拉斯变换,我们得到了求上界的关键性质,并解决了Nguyen和Yang界中的一个问题。这个问题是由于随机游走转移概率的傅里叶变换可以取值\(-1\)引起的。
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来源期刊
Mathematical Physics, Analysis and Geometry
Mathematical Physics, Analysis and Geometry 数学-物理:数学物理
CiteScore
2.10
自引率
0.00%
发文量
26
审稿时长
>12 weeks
期刊介绍: MPAG is a peer-reviewed journal organized in sections. Each section is editorially independent and provides a high forum for research articles in the respective areas. The entire editorial board commits itself to combine the requirements of an accurate and fast refereeing process. The section on Probability and Statistical Physics focuses on probabilistic models and spatial stochastic processes arising in statistical physics. Examples include: interacting particle systems, non-equilibrium statistical mechanics, integrable probability, random graphs and percolation, critical phenomena and conformal theories. Applications of probability theory and statistical physics to other areas of mathematics, such as analysis (stochastic pde''s), random geometry, combinatorial aspects are also addressed. The section on Quantum Theory publishes research papers on developments in geometry, probability and analysis that are relevant to quantum theory. Topics that are covered in this section include: classical and algebraic quantum field theories, deformation and geometric quantisation, index theory, Lie algebras and Hopf algebras, non-commutative geometry, spectral theory for quantum systems, disordered quantum systems (Anderson localization, quantum diffusion), many-body quantum physics with applications to condensed matter theory, partial differential equations emerging from quantum theory, quantum lattice systems, topological phases of matter, equilibrium and non-equilibrium quantum statistical mechanics, multiscale analysis, rigorous renormalisation group.
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