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Research output: Contribution to Journal/Magazine › Journal article › peer-review
}
TY - JOUR
T1 - A review of the deterministic and diffusion approximations for stochastic chemical reaction networks
AU - Mozgunov, Pavel
AU - Beccuti, Marco
AU - Horvath, Andras
AU - Jaki, Thomas Friedrich
AU - Sirovich, Roberta
AU - Bibbona, Enrico
N1 - The final publication is available at Springer via http://dx.doi.org/10.1007/s11144-018-1351-y
PY - 2018/4
Y1 - 2018/4
N2 - This work reviews deterministic and diffusion approximations of the stochastic chemical reaction networks and explains their applications. We discuss the added value the diffusion approximation provides for systems with different phenomena, such as a deficiency and a bistability. It is advocated that the diffusion approximation can be considered as an alternative theoretical approach to study the reaction networks rather than a simulation shortcut. We discuss two examples in which the diffusion approximation is able to catch qualitative properties of reaction networks that the deterministic model misses. We provide an explicit construction of the original process and the diffusion approximation such that the distance between their trajectories is controlled and demonstrate this construction for the examples. We also discuss the limitations and potential directions of the developments.
AB - This work reviews deterministic and diffusion approximations of the stochastic chemical reaction networks and explains their applications. We discuss the added value the diffusion approximation provides for systems with different phenomena, such as a deficiency and a bistability. It is advocated that the diffusion approximation can be considered as an alternative theoretical approach to study the reaction networks rather than a simulation shortcut. We discuss two examples in which the diffusion approximation is able to catch qualitative properties of reaction networks that the deterministic model misses. We provide an explicit construction of the original process and the diffusion approximation such that the distance between their trajectories is controlled and demonstrate this construction for the examples. We also discuss the limitations and potential directions of the developments.
KW - A review of approximations for stochastic chemical reaction networks
KW - Deficiency
KW - Diffusion Approximation
KW - Hungarian Construction
KW - Reaction Networks
KW - Stochastic Differential Equations
U2 - 10.1007/s11144-018-1351-y
DO - 10.1007/s11144-018-1351-y
M3 - Journal article
VL - 123
SP - 289
EP - 312
JO - Reaction Kinetics, Mechanisms and Catalysis
JF - Reaction Kinetics, Mechanisms and Catalysis
SN - 1878-5190
IS - 2
ER -