arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2201.13179cond-mat.stat-mech
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跳过程的分裂概率

Splitting Probabilities of Jump Processes

Jérémie Klinger, Raphaël Voituriez, Olivier Bénichou

摘要:

本文导出了对称连续跳跃过程的分裂概率的一个普适的、精确的渐近形式,它量化了过程从$x_0\ll x$中的给定位置$x_0\in[0,x]$开始在0之前穿过$x$的概率$ π_{0,\underline{x}}(x_0)$.这种分析提供了特别是一个完全明确的确定的传输概率($x_0=0$),与平凡的预测$ π_{0,\underline{x}}(0)=0$,通过采取连续的限制过程,这揭示了动力学的微观性质的重要性得到了鲜明的对比。这些结果说明与跳跃过程的应用程序在现实的3 $d$板几何形状的非均匀介质中的光散射的范例模型。在这种情况下,我们明确的预测的传输概率,这可以直接测量实验,提供了一个定量表征的有效随机过程描述光散射介质中。

英文摘要:

We derive a universal, exact asymptotic form of the splitting probability for symmetric continuous jump processes, which quantifies the probability $ π_{0,\underline{x}}(x_0)$ that the process crosses $x$ before 0 starting from a given position $x_0\in[0,x]$ in the regime $x_0\ll x$. This analysis provides in particular a fully explicit determination of the transmission probability ($x_0=0$), in striking contrast with the trivial prediction $ π_{0,\underline{x}}(0)=0$ obtained by taking the continuous limit of the process, which reveals the importance of the microscopic properties of the dynamics. These results are illustrated with paradigmatic models of jump processes with applications to light scattering in heterogeneous media in realistic 3$d$ slab geometries. In this context, our explicit predictions of the transmission probability, which can be directly measured experimentally, provide a quantitative characterization of the effective random process describing light scattering in the medium.

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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