Journal of The Royal Society Interface · 2020 · 16 citations · 23 references
EngineeringMathematicsComplex SystemsDynamical SystemsStochastic ProcessesErgodic TheoryMarkov ChainsMarkov ProcessesNetwork TheoryReaction DynamicsStochastic NetworksAutocatalytic NetworksAutocatalytic Reaction ModelsAutocatalytic Reaction NetworksErgodicityPositive RecurrenceRecurrenceStationary DistributionsStatistical Reaction Dynamics
We provide a theoretical analysis of some autocatalytic reaction networks exhibiting the phenomenon of discreteness-induced transitions. The family of networks that we address includes the celebrated Togashi and Kaneko model. We prove positive recurrence, finiteness of all moments and geometric ergodicity of the models in the family. For some parameter values, we find the analytic expression for the stationary distribution and discuss the effect of volume scaling on the stationary behaviour of the chain. We find the exact critical value of the volume for which discreteness-induced transitions disappear.
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