arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1908.11356math.PR
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随机连接模型的蕾丝展开与平均场行为

Lace Expansion and Mean-Field Behavior for the Random Connection Model

Markus Heydenreich, Remco van der Hofstad, Günter Last, Kilian Matzke

AI总结:

针对平稳泊松过程驱动的随机连接模型,推导连续介质蕾丝展开并借助新版BK不等式界定系数,在高维等三类条件下证明展开收敛、建立红外界,验证模型的平均场行为及相关临界指数、渗流函数性质。

摘要:

我们研究由平稳泊松过程驱动的随机连接模型。论文第一部分推导了连续介质中带余项的蕾丝展开,并利用新版BK不等式对系数进行了界定。针对主要结果,我们考虑三种形式的连接函数$φ$:有限方差版本(包括Boolean模型)、扩散版本和长程版本。在维度足够高(或扩散参数足够大且$d>6$)的条件下,我们证明了蕾丝展开的收敛性,推导出三角条件,并建立了红外界。由此可推导出该模型的平均场行为。作为示例,我们证明临界指数$γ$取其平均场值$γ=1$,且渗流函数是连续的。

英文摘要:

We study the random connection model driven by a stationary Poisson process. In the first part of the paper, we derive a lace expansion with remainder term in the continuum and bound the coefficients using a new version of the BK inequality. For our main results, we consider three versions of the connection function $φ$: a finite-variance version (including the Boolean model), a spread-out version, and a long-range version. For sufficiently large dimension (resp., spread-out parameter and $d>6$), we then prove the convergence of the lace expansion, derive the triangle condition, and establish an infra-red bound. From this, mean-field behavior of the model can be deduced. As an example, we show that the critical exponent $γ$ takes its mean-field value $γ=1$ and that the percolation function is continuous.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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