内向随机反应系统的非爆炸性

Chuang Xu
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引用次数: 0

摘要

反应网络作为通用模型已广泛应用于生物学、化学、生态学、流行病学和计算机科学等多个应用科学领域。包含噪声效应的反应网络被模拟为连续时间马尔可夫链(CTMC),称为随机反应系统。非爆炸性是表征 CTMC 正则性的一个概念。本文从基础 CTMC 的角度研究随机反应系统的非爆炸性。通过构建一个简单的线性 Lyapunov 函数,我们得到了一类内切随机反应系统的非爆炸性,其中包含作为子集的二阶内切随机质量反应系统。因此,我们证明了每个双分子弱可逆随机质量作用系统都是非爆炸性的。我们将我们的结果应用于生物化学、流行病学、生态学和合成生物学文献中的各种模型。
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Non-explosivity of endotactic stochastic reaction systems
Reaction networks have been widely used as generic models in diverse areas of applied science, such as biology, chemistry, ecology, epidemiology, and computer science. Reaction networks incorporating noisy effect are modelled as continuous time Markov chains (CTMC), and are called stochastic reaction systems. Non-explosivity is a concept that characterizes regularity of CTMCs. In this paper, we study non-explosivity of stochastic reaction systems, in the sense of their underlying CTMCs. By constructing a simple linear Lyapunov function, we obtain non-explosivity for a class of endotactic stochastic reaction systems containing second-order endotactic stochastic mass-action systems as a subset. As a consequence, we prove that every bimolecular weakly reversible stochastic mass-action system is non-explosive. We apply our results to diverse models in biochemistry, epidemiology, ecology, and synthetic biology in the literature.
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