On a theory of stability for nonlinear stochastic chemical reaction networks

Patrick Smadbeck, Yiannis N. Kaznessis

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

We present elements of a stability theory for small, stochastic, nonlinear chemical reaction networks. Steady state probability distributions are computed with zero-information (ZI) closure, a closure algorithm that solves chemical master equations of small arbitrary nonlinear reactions. Stochastic models can be linearized around the steady state with ZI-closure, and the eigenvalues of the Jacobian matrix can be readily computed. Eigenvalues govern the relaxation of fluctuation autocorrelation functions at steady state. Autocorrelation functions reveal the time scales of phenomena underlying the dynamics of nonlinear reaction networks. In accord with the fluctuation-dissipation theorem, these functions are found to be congruent to response functions to small perturbations. Significant differences are observed in the stability of nonlinear reacting systems between deterministic and stochastic modeling formalisms.

Original languageEnglish (US)
Article number184101
JournalJournal of Chemical Physics
Volume142
Issue number18
DOIs
StatePublished - May 14 2015

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