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arXiv 2202.11953math.PR
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一维范围惩罚的随机游动的标度极限

Scaling limits for the random walk penalized by its range in dimension one

Nicolas Bouchot

摘要:

本文研究了聚合物在不良溶剂中的一维模型:$\mathbb{Z}$上的随机游动,并对其范围进行了惩罚。更确切地说,我们认为吉布斯变换的法律的简单对称随机游动的重量$\exp(-h_n|R_n|)$,与$|R_n|$的访问站点的数量和$h_n$的大小相关的正参数。我们使用赌徒的破产估计获得精确的渐近的分拆函数,使我们能够获得一个精确的描述的轨迹,特别是缩放限制的中心和幅度的范围。在$h_n \approx n^{1/4}$处确定了围绕最佳幅度波动的相变,这是底层晶格结构所固有的。

英文摘要:

In this article we study a one dimensional model for a polymer in a poor solvent: the random walk on $\mathbb{Z}$ penalized by its range. More precisely, we consider a Gibbs transformation of the law of the simple symmmetric random walk by a weight $\exp(-h_n|R_n|)$, with $|R_n|$ the number of visited sites and $h_n$ a size-dependent positive parameter. We use gambler's ruin estimates to obtain exact asymptotics for the partition function, that enables us to obtain a precise description of trajectories, in particular scaling limits for the center and the amplitude of the range. A phase transition for the fluctuations around an optimal amplitude is identified at $h_n \approx n^{1/4}$ , inherent to the underlying lattice structure.

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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