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arXiv 2608.08626math.APphysics.bio-ph

具有反应边界斑块的一般三维区域上窄逃逸问题与Berg-Purcell问题的渐近分析

Asymptotic Analysis of the Narrow Escape and Berg-Purcell problems on general three-dimensional domains with reactive boundary patches

A. E. Lindsay, A. J. Bernoff, D. S. Grebenkov, J. G. Hoskins, M. J. Ward

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中文总结 AI 辅助

本文针对带反应边界斑块的三维区域,通过渐近分析求解窄逃逸与Berg-Purcell问题,量化几何与反应性对扩散捕获速率的影响,结果经数值验证,为生物过程动力学提供新见解。

中文摘要 AI 辅助

我们对一般光滑闭合三维几何中带有多个任意形状小型反应边界斑块的两类扩散捕获问题开展渐近分析:(i)窄逃逸问题旨在确定布朗粒子通过小型边界窗口从封闭区域逃逸的速率;(ii)相关的Berg-Purcell(或称窄入口)问题旨在求解细胞外信号分子扩散并通过膜结合受体处的局部反应进入的捕获速率。我们得到这两类问题的匹配渐近解,从而解决了描述曲率与局部反应性在调节扩散捕获速率中作用这一长期存在的挑战。我们的显式展开式通过斑块的尺寸、形状、反应性以及每个斑块处流形的主曲率,量化了局部效应对扩散捕获的影响;进而,我们考察了扩散捕获的全局效应,例如斑块在流形上的空间构型,这由相关的曲面Neumann格林函数及其正则部分所体现。我们针对椭球型区域的全数值解验证了渐近公式的准确性。总体而言,我们的结果为几何与随机性如何共同塑造各类生物过程的动力学提供了新的见解。

英文摘要

We present an asymptotic analysis of two diffusive capture problems in general smooth closed three-dimensional geometries with multiple small reactive boundary patches of arbitrary shapes. (i) The narrow escape problem seeks to determine the escape rate of Brownian particles from an enclosed region through small boundary windows. (ii) The related Berg-Purcell (or narrow entrance) problem seeks to resolve the capture rate for signaling molecules diffusing outside the cell and entering through localized reactions at membrane-bound receptors. We obtain matched asymptotic solutions of these two problems and thus address the long-standing challenge of describing the role that curvature and local reactivities play in modulating diffusive capture rates. Our explicit expansions quantify local effects on diffusive capture through the sizes, shapes, and reactivities of the patches together with the principal curvatures of the manifold at each patch. In turn, we examine global effects on diffusive capture such as the spatial configuration of patches on the manifold, as encloded by the associated surface Neumann Green's function and its regular part. The accuracy of our asymptotic formulas is validated against a full numerical solution for an ellipsoidal domain. Overall, our results yield new insights on how geometry and stochasticity combine to shape the dynamics of various biological processes.

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