当前位置: X-MOL 学术J. Math. Biol. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Time-dependent product-form Poisson distributions for reaction networks with higher order complexes.
Journal of Mathematical Biology ( IF 2.2 ) Pub Date : 2020-03-24 , DOI: 10.1007/s00285-020-01485-y
David F Anderson 1 , David Schnoerr 2 , Chaojie Yuan 1
Affiliation  

It is well known that stochastically modeled reaction networks that are complex balanced admit a stationary distribution that is a product of Poisson distributions. In this paper, we consider the following related question: supposing that the initial distribution of a stochastically modeled reaction network is a product of Poissons, under what conditions will the distribution remain a product of Poissons for all time? By drawing inspiration from Crispin Gardiner's "Poisson representation" for the solution to the chemical master equation, we provide a necessary and sufficient condition for such a product-form distribution to hold for all time. Interestingly, the condition is a dynamical "complex-balancing" for only those complexes that have multiplicity greater than or equal to two (i.e. the higher order complexes that yield non-linear terms to the dynamics). We term this new condition the "dynamical and restricted complex balance" condition (DR for short).

中文翻译:

具有高阶络合物的反应网络的时间相关产品形式泊松分布。

众所周知,复杂平衡的随机建模反应网络可以接受泊松分布产物的平稳分布。在本文中,我们考虑以下相关问题:假设随机建模的反应网络的初始分布是泊松的产物,那么在什么条件下该分布将一直保持泊松的产物?通过从克里斯平·加德纳(Crispin Gardiner)的“泊松表示”中获得化学主方程式解的灵感,我们为这种产品形式的分布始终保持提供了必要和充分的条件。有趣的是,条件是动态的“复杂平衡”,仅适用于多重度大于或等于2(即 产生动力学非线性项的高阶复合物)。我们将此新条件称为“动态且受限的复杂平衡”条件(简称DR)。
更新日期:2020-04-16
down
wechat
bug