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Propagation of Fluctuations in Biochemical Systems, II: Nonlinear Chains

dc.contributor.author Anderson, DF
dc.contributor.author Mattingly, Jonathan Christopher
dc.date.accessioned 2015-12-28T16:29:53Z
dc.identifier http://arxiv.org/abs/0708.0380v1
dc.identifier.uri https://hdl.handle.net/10161/11278
dc.description.abstract We consider biochemical reaction chains and investigate how random external fluctuations, as characterized by variance and coefficient of variation, propagate down the chains. We perform such a study under the assumption that the number of molecules is high enough so that the behavior of the concentrations of the system is well approximated by differential equations. We conclude that the variances and coefficients of variation of the fluxes will decrease as one moves down the chain and, through an example, show that there is no corresponding result for the variances of the chemical species. We also prove that the fluctuations of the fluxes as characterized by their time averages decrease down reaction chains. The results presented give insight into how biochemical reaction systems are buffered against external perturbations solely by their underlying graphical structure and point out the benefits of studying the out-of-equilibrium dynamics of systems.
dc.format.extent 36 pages, 1 figure
dc.subject math.PR
dc.subject math.PR
dc.subject math.DS
dc.title Propagation of Fluctuations in Biochemical Systems, II: Nonlinear Chains
dc.type Journal article
pubs.author-url http://arxiv.org/abs/0708.0380v1
pubs.organisational-group Duke
pubs.organisational-group Mathematics
pubs.organisational-group Statistical Science
pubs.organisational-group Trinity College of Arts & Sciences


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