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arXiv 2604.04747math.PR
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完全图上激活随机游走的标度极限与密度猜想

Scaling limit and density conjecture for activated random walk on the complete graph

Baruch College, City University of New York(纽约市立大学巴鲁克学院);Graduate Center, City University of New York(纽约市立大学研究生院)

Matthew Junge, Harley Kaufman, Josh Meisel

AI总结:

本文研究了在具有陷阱的完全图上具有睡眠概率p的驱动耗散激活随机游走,证明了当q_n处于特定标度范围时,稳态分布中剩余的睡眠粒子数S_n具有Gumbel标度极限,并展示了其超均匀性及稳态配置律的负相关性。

摘要:

我们研究了在具有陷阱的n顶点完全图上具有睡眠概率p的驱动耗散激活随机游走。我们证明了当exp(-n^{1/3}) << q_n << n^{-1/2}时,稳态分布中剩余的睡眠粒子数S_n具有Gumbel标度极限。特定的标度表明S_n是超均匀的,因此稳态配置律具有负相关性且不是乘积测度。我们还证明了当且仅当q_n = e^{-o(n)}时,S_n/n收敛于p,而当q_n=0时,跃迁到稳定化的跳跃数在密度p处经历相变。

英文摘要:

We study driven-dissipative activated random walk with sleep probability $p$ on an $n$-vertex complete graph with a sink that traps jumping particles with probability $q_n$. We show that the number of sleeping particles $S_n$ left by the stationary distribution has a Gumbel scaling limit for $\exp(-n^{1/3}) \ll q_n \ll n^{-1/2}$. The particular scaling implies that $S_n$ is hyperuniform and thus the stationary configuration law has negative correlations and is not a product measure. We also prove that $S_n/n$ converges to $p$ if and only if $q_n = e^{-o(n)}$, and that, when $q_n=0$, the number of jumps to stabilization undergoes a phase transition at density $p$.

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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