Product-form Poisson-like distributions and complex balanced reaction systems
Daniele Cappelletti, Carsten Wiuf

TL;DR
This paper characterizes stochastically complex balanced biochemical reaction networks, linking their stationary distributions to deterministic properties, and proves a stochastic deficiency zero theorem showing product-form Poisson-like distributions arise in these systems.
Contribution
It introduces the concept of stochastically complex balanced systems, establishes their equivalence with deterministic complex balanced networks, and proves a stochastic deficiency zero theorem for reaction networks.
Findings
Stochastically complex balanced systems have product-form Poisson-like stationary distributions.
A network is stochastically complex balanced if and only if its deterministic counterpart is complex balanced.
Deficiency zero reaction networks exhibit Poisson-like stationary distributions across all irreducible components.
Abstract
Stochastic reaction networks are dynamical models of biochemical reaction systems and form a particular class of continuous-time Markov chains on . Here we provide a fundamental characterisation that connects structural properties of a network to its dynamical features. Specifically, we define the notion of `stochastically complex balanced systems' in terms of the network's stationary distribution and provide a characterisation of stochastically complex balanced systems, parallel to that established in the 70-80ies for deterministic reaction networks. Additionally, we establish that a network is stochastically complex balanced if and only if an associated deterministic network is complex balanced (in the deterministic sense), thereby proving a strong link between the theory of stochastic and deterministic networks. Further, we prove a stochastic version of the `deficiency…
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