Asymptotic Analysis of Target Fluxes in the Three-Dimensional Narrow Capture Problem

P. Bressloff
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引用次数: 13

Abstract

We develop an asymptotic analysis of target fluxes in the three-dimensional (3D) narrow capture problem. The latter concerns a diffusive search process in which the targets are much smaller than the size of the search domain. The small target assumption allows us to use matched asymptotic expansions and Green's functions to solve the diffusion equation in Laplace space. In particular, we derive an asymptotic expansion of the Laplace transformed flux into each target in powers of the non-dimensionalized target size $\epsilon$. One major advantage of working directly with fluxes is that one can generate statistical quantities such as splitting probabilities and conditional first passage time moments without having to solve a separate boundary value problem in each case. However, in order to derive asymptotic expansions of these quantities, it is necessary to eliminate Green's function singularities that arise in the limit $s\rightarrow 0$, where $s$ is the Laplace variable. We achieve this by considering a triple expansion in $\epsilon$, $s$ and $\Lambda\sim \epsilon /s$. This allows us to perform partial summations over infinite power series in $\Lambda$, which leads to multiplicative factors of the form $\Lambda^n/(1+\Lambda)^n $. Since $\Lambda^n/(1+\Lambda)^n \rightarrow 1$ as $s\rightarrow 0$, the singularities in $s$ are eliminated. We then show how corresponding asymptotic expansions of the splitting probabilities and conditional MFPTs can be derived in the small-$s$ limit. Finally, we illustrate the theory by considering a pair of targets in a spherical search domain, for which the Green's functions can be calculated explicitly.
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三维窄捕获问题中目标通量的渐近分析
我们发展了三维(3D)窄捕获问题中目标通量的渐近分析。后者涉及一个扩散搜索过程,其中目标的大小远远小于搜索域的大小。小目标假设允许我们使用匹配渐近展开式和格林函数来求解拉普拉斯空间中的扩散方程。特别地,我们导出了拉普拉斯变换通量在无量纲化目标尺寸$\epsilon$的幂次中的渐近展开式。直接处理通量的一个主要优点是,可以生成统计量,如分割概率和条件首次通过时间矩,而不必在每种情况下单独解决边界值问题。然而,为了导出这些量的渐近展开式,有必要消除极限$s\rightarrow 0$中出现的格林函数奇点,其中$s$是拉普拉斯变量。我们通过考虑$\epsilon$, $s$和$\Lambda\sim \epsilon /s$的三重扩展来实现这一点。这允许我们在$\Lambda$中对无穷幂级数进行部分求和,从而得到形式为$\Lambda^n/(1+\Lambda)^n $的乘法因子。因为$\Lambda^n/(1+\Lambda)^n \rightarrow 1$是$s\rightarrow 0$,所以$s$中的奇异点被消除了。然后,我们展示了如何在小$s$极限下推导出分裂概率和条件mfpt的相应渐近展开式。最后,我们通过考虑球面搜索域中的一对目标来说明这一理论,对于这些目标,我们可以显式地计算格林函数。
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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