Computational Identification of Irreducible State-Spaces for Stochastic Reaction Networks
نویسندگان
چکیده
منابع مشابه
Computational identification of irreducible state-spaces for stochastic reaction networks
In stochastic models of biochemical reaction networks, the dynamics is usually represented by a Markov process which describes the evolution of the copy-numbers or molecular counts of the constituent species. It is often of biological interest to determine if this Markov process has a unique stationary distribution. This uniqueness will hold if the state-space is irreducible in the sense that a...
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ژورنال
عنوان ژورنال: SIAM Journal on Applied Dynamical Systems
سال: 2018
ISSN: 1536-0040
DOI: 10.1137/17m1134299