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arXiv 2405.03072cond-mat.stat-mech
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Bethe晶格上的Sokoban逾渗

Sokoban percolation on the Bethe lattice

Ofek Lauber Bonomo, Itamar Shitrit, Shlomi Reuveni

AI总结:

本文研究Bethe晶格上Sokoban模型的逾渗问题,给出逃逸概率的精确解,证明推动障碍物可提高临界密度并促进逾渗,且与二维正方晶格上的行为形成鲜明对比。

摘要:

“水滴石穿”是一句古希腊谚语。然而,经典的逾渗模型并未考虑移动示踪粒子与其环境之间的相互作用。最近,我们引入了Sokoban模型,该模型不同于这一惯例,允许示踪粒子推动阻挡其路径的单个障碍物。为了检验这种新能力如何影响逾渗,我们在此考虑一个Bethe晶格,其上随机散布着障碍物,并求解Sokoban粒子穿过该晶格(即逃逸到无穷远)的概率。我们给出了该问题的精确解,并确定了逃逸概率作为障碍物密度的函数。与常规逾渗类似,我们证明逃逸概率经历二阶相变。我们精确确定了发生该相变的临界障碍物密度,并证明该密度高于不具备推障碍能力的示踪粒子所对应的临界密度。我们的研究结果表明,推动能力促进了Bethe晶格上的逾渗,这与直觉预期一致。然而,这一结果与我们之前在二维正方晶格上的发现形成鲜明对比。在那里,Sokoban粒子无法逃逸——即使在远低于逾渗阈值的密度下也是如此。我们讨论了造成这一显著差异的原因,这表明需要更深入、更好地理解存在示踪粒子-介质相互作用时的逾渗现象。

英文摘要:

`With persistence, a drop of water hollows out the stone' goes the ancient Greek proverb. Yet, canonical percolation models do not account for interactions between a moving tracer and its environment. Recently, we have introduced the Sokoban model, which differs from this convention by allowing a tracer to push single obstacles that block its path. To test how this newfound ability affects percolation, we hereby consider a Bethe lattice on which obstacles are scattered randomly and ask for the probability that the Sokoban percolates through this lattice, i.e., escapes to infinity. We present an exact solution to this problem and determine the escape probability as a function of obstacle density. Similar to regular percolation, we show that the escape probability undergoes a second-order phase transition. We exactly determine the critical obstacle density at which this transition occurs and show that it is higher than that of a tracer without obstacle-pushing abilities. Our findings assert that pushing facilitates percolation on the Bethe lattice, as intuitively expected. This result, however, sharply contrasts with our previous findings on the 2D square lattice. There, the Sokoban cannot escape $\unicode{x2013}$ not even at densities well below the percolation threshold. We discuss the reasons behind this striking difference, which calls for a deeper and better understanding of percolation in the presence of tracer-media interactions.

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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