Non-explosivity of stochastically modeled reaction networks that are complex balanced
David F. Anderson, Daniele Cappelletti, Masanori Koyama, Thomas G., Kurtz

TL;DR
This paper proves that complex balanced reaction networks modeled stochastically are non-explosive, given certain decay conditions on the solution to the Kolmogorov forward equation, ensuring model stability.
Contribution
It establishes non-explosivity for complex balanced reaction networks under specific decay conditions, extending understanding of their stochastic stability.
Findings
Complex balanced networks are non-explosive.
Decay conditions ensure non-explosivity.
Provides criteria for stability of stochastic reaction networks.
Abstract
We consider stochastically modeled reaction networks and prove that if a constant solution to the Kolmogorov forward equation decays fast enough relatively to the transition rates, then the model is non-explosive. In particular, complex balanced reaction networks are non-explosive.
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