The Narrow Capture Problem with Partially Absorbing Targets and Stochastic Resetting

P. Bressloff, Ryan D. Schumm
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引用次数: 5

Abstract

We consider a particle undergoing diffusion with stochastic resetting in a bounded domain $\calU\subset \R^d$ for $d=2,3$. The domain is perforated by a set of partially absorbing targets within which the particle may be absorbed at a rate $\kappa$. Each target is assumed to be much smaller than $|\calU|$, which allows us to use asymptotic and Green's function methods to solve the diffusion equation in Laplace space. In particular, we construct an inner solution within the interior and local exterior of each target, and match it with an outer solution in the bulk of $\calU$. This yields an asymptotic expansion of the Laplace transformed flux into each target in powers of $\nu=-1/\ln \epsilon$ ($d=2$) and $\epsilon$ ($d=3$), respectively, where $\epsilon$ is the non-dimensionalized target size. The fluxes determine how the mean first-passage time to absorption depends on the reaction rate $\kappa$ and the resetting rate $r$. For a range of parameter values, the MFPT is a unimodal function of $r$, with a minimum at an optimal resetting rate $r_{\rm opt}$ that depends on $\kappa$ and the target configuration.
目标部分吸收和随机重置的窄捕获问题
我们考虑一个粒子在有界区域内进行随机重置扩散 $\calU\subset \R^d$ 为了 $d=2,3$. 所述区域由一组部分吸收的靶穿孔,在所述靶内粒子可以一定速率被吸收 $\kappa$. 假设每个目标都比 $|\calU|$,这使得我们可以使用渐近和格林函数方法来求解拉普拉斯空间中的扩散方程。特别是,我们在每个目标的内部和局部外部构造一个内部解,并将其与大块的外部解进行匹配 $\calU$. 这就得到了拉普拉斯变换通量在每个目标上的幂的渐近展开式 $\nu=-1/\ln \epsilon$ ($d=2$)及 $\epsilon$ ($d=3$),分别为 $\epsilon$ 是未量纲化的目标尺寸。通量决定了到吸收的平均首次通过时间如何取决于反应速率 $\kappa$ 和重置速率 $r$. 对于一个参数值范围,MFPT是的单峰函数 $r$,最小值为最佳重置速率 $r_{\rm opt}$ 这取决于 $\kappa$ 和目标构型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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