Stationary distributions via decomposition of stochastic reaction networks

@article{Hoessly2021StationaryDV,
  title={Stationary distributions via decomposition of stochastic reaction networks},
  author={L. Hoessly},
  journal={Journal of Mathematical Biology},
  year={2021},
  volume={82}
}
  • L. Hoessly
  • Published 2021
  • Mathematics, Medicine
  • Journal of Mathematical Biology
We examine reaction networks (CRNs) through their associated continuous-time Markov processes. Studying the dynamics of such networks is in general hard, both analytically and by simulation. In particular, stationary distributions of stochastic reaction networks are only known in some cases. We analyze class properties of the underlying continuous-time Markov chain of CRNs under the operation of join and examine conditions such that the form of the stationary distributions of a CRN is derived… Expand
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