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arXiv 2402.14647math.PR
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关于二维有向聚合物对数配分函数的中心极限定理

On the Central Limit Theorem for the log-partition function of 2D directed polymers

Clément Cosco, Anna Donadini

AI总结:

本文针对二维有向聚合物在次临界温度下对数配分函数的中心极限定理,利用解耦论证和独立随机变量之和的 CLT,并借助与分支随机游走的类比,给出了一个初等证明。

摘要:

已知在次临界温度区域 β=β_N=\hatβ\sqrt{π/\log N}、\hatβ∈(0,1) 下,随机环境中二维有向聚合物的对数配分函数 $\log W_N(β)$ 依分布收敛于正态分布(Caravenna、Sun、Zygouras,Ann. Appl. Prob.,2017)。本文给出该结果的一个初等证明,证明依赖解耦论证以及独立随机变量之和的中心极限定理。该论证受到此模型与分支随机游走之间类比的启发。

英文摘要:

The log-partition function $ \log W_N(β)$ of the two-dimensional directed polymer in random environment is known to converge in distribution to a normal distribution when considering temperature in the subcritical regime $β=β_N=\hatβ\sqrt{π/\log N}$, $\hatβ\in (0,1)$ (Caravenna, Sun, Zygouras, Ann. Appl. Prob. (2017)). In this paper, we present an elementary proof of this result relying on a decoupling argument and the central limit theorem for sums of independent random variables. The argument is inspired by an analogy of the model to branching random walks.

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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