涉及扩散和空间异质性的随机化学反应的宏观极限

IF 1.1 2区 数学 Q3 STATISTICS & PROBABILITY
Malcolm Egan , Bao Quoc Tang
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引用次数: 0

摘要

要模拟具有扩散作用的生物化学反应系统,可以使用随机的微观反应-扩散主方程,也可以使用确定性的宏观反应-扩散系统。这两种模型之间的联系不仅在理论上非常重要,而且在应用中也起着至关重要的作用。本文探讨了高度异质环境中一阶化学反应系统的化学反应-扩散主方程的宏观极限。更确切地说,扩散系数和反应速率在空间上是不均匀的,反应速率也可能是不连续的。通过在反应-扩散主方程模型中仔细离散这些异质性,我们证明,在极限情况下,我们可以恢复具有不均匀扩散和反应速率的宏观反应-扩散系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Macroscopic limit for stochastic chemical reactions involving diffusion and spatial heterogeneity

To model bio-chemical reaction systems with diffusion one can either use stochastic, microscopic reaction–diffusion master equations or deterministic, macroscopic reaction–diffusion system. The connection between these two models is not only theoretically important but also plays an essential role in applications. This paper considers the macroscopic limits of the chemical reaction–diffusion master equation for first-order chemical reaction systems in highly heterogeneous environments. More precisely, the diffusion coefficients as well as the reaction rates are spatially inhomogeneous and the reaction rates may also be discontinuous. By carefully discretizing these heterogeneities within a reaction–diffusion master equation model, we show that in the limit we recover the macroscopic reaction–diffusion system with inhomogeneous diffusion and reaction rates.

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来源期刊
Stochastic Processes and their Applications
Stochastic Processes and their Applications 数学-统计学与概率论
CiteScore
2.90
自引率
7.10%
发文量
180
审稿时长
23.6 weeks
期刊介绍: Stochastic Processes and their Applications publishes papers on the theory and applications of stochastic processes. It is concerned with concepts and techniques, and is oriented towards a broad spectrum of mathematical, scientific and engineering interests. Characterization, structural properties, inference and control of stochastic processes are covered. The journal is exacting and scholarly in its standards. Every effort is made to promote innovation, vitality, and communication between disciplines. All papers are refereed.
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