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Stationary distributions of systems with discreteness-induced transitions
Author(s) -
Enrico Bibbona,
Jinsu Kim,
Carsten Wiuf
Publication year - 2020
Publication title -
journal of the royal society interface
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.655
H-Index - 139
eISSN - 1742-5689
pISSN - 1742-5662
DOI - 10.1098/rsif.2020.0243
Subject(s) - ergodicity , statistical physics , scaling , mathematics , stationary state , stationary distribution , volume (thermodynamics) , chain (unit) , physics , quantum mechanics , markov chain , statistics , geometry
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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