Lyapunov Functions, Stationary Distributions, and Non-equilibrium Potential for Reaction Networks

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Lyapunov Functions, Stationary Distributions, and Non-equilibrium Potential for Reaction Networks. / Anderson, David F. ; Craciun, Gheorghe; Gopalkrishnan , Manoj ; Wiuf, Carsten Henrik.

In: Bulletin of Mathematical Biology, Vol. 77, No. 9, 2015, p. 1744-1767.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Anderson, DF, Craciun, G, Gopalkrishnan , M & Wiuf, CH 2015, 'Lyapunov Functions, Stationary Distributions, and Non-equilibrium Potential for Reaction Networks', Bulletin of Mathematical Biology, vol. 77, no. 9, pp. 1744-1767. https://doi.org/10.1007/s11538-015-0102-8

APA

Anderson, D. F., Craciun, G., Gopalkrishnan , M., & Wiuf, C. H. (2015). Lyapunov Functions, Stationary Distributions, and Non-equilibrium Potential for Reaction Networks. Bulletin of Mathematical Biology, 77(9), 1744-1767. https://doi.org/10.1007/s11538-015-0102-8

Vancouver

Anderson DF, Craciun G, Gopalkrishnan M, Wiuf CH. Lyapunov Functions, Stationary Distributions, and Non-equilibrium Potential for Reaction Networks. Bulletin of Mathematical Biology. 2015;77(9):1744-1767. https://doi.org/10.1007/s11538-015-0102-8

Author

Anderson, David F. ; Craciun, Gheorghe ; Gopalkrishnan , Manoj ; Wiuf, Carsten Henrik. / Lyapunov Functions, Stationary Distributions, and Non-equilibrium Potential for Reaction Networks. In: Bulletin of Mathematical Biology. 2015 ; Vol. 77, No. 9. pp. 1744-1767.

Bibtex

@article{154517fb1d7a491ab0c2ff207e9de306,
title = "Lyapunov Functions, Stationary Distributions, and Non-equilibrium Potential for Reaction Networks",
abstract = "We consider the relationship between stationary distributions for stochastic models of reaction systems and Lyapunov functions for their deterministic counterparts. Specifically, we derive the well-known Lyapunov function of reaction network theory as a scaling limit of the non-equilibrium potential of the stationary distribution of stochastically modeled complex balanced systems. We extend this result to general birth–death models and demonstrate via example that similar scaling limits can yield Lyapunov functions even for models that are not complex or detailed balanced, and may even have multiple equilibria.",
author = "Anderson, {David F.} and Gheorghe Craciun and Manoj Gopalkrishnan and Wiuf, {Carsten Henrik}",
year = "2015",
doi = "10.1007/s11538-015-0102-8",
language = "English",
volume = "77",
pages = "1744--1767",
journal = "Bulletin of Mathematical Biology",
issn = "0092-8240",
publisher = "Springer",
number = "9",

}

RIS

TY - JOUR

T1 - Lyapunov Functions, Stationary Distributions, and Non-equilibrium Potential for Reaction Networks

AU - Anderson, David F.

AU - Craciun, Gheorghe

AU - Gopalkrishnan , Manoj

AU - Wiuf, Carsten Henrik

PY - 2015

Y1 - 2015

N2 - We consider the relationship between stationary distributions for stochastic models of reaction systems and Lyapunov functions for their deterministic counterparts. Specifically, we derive the well-known Lyapunov function of reaction network theory as a scaling limit of the non-equilibrium potential of the stationary distribution of stochastically modeled complex balanced systems. We extend this result to general birth–death models and demonstrate via example that similar scaling limits can yield Lyapunov functions even for models that are not complex or detailed balanced, and may even have multiple equilibria.

AB - We consider the relationship between stationary distributions for stochastic models of reaction systems and Lyapunov functions for their deterministic counterparts. Specifically, we derive the well-known Lyapunov function of reaction network theory as a scaling limit of the non-equilibrium potential of the stationary distribution of stochastically modeled complex balanced systems. We extend this result to general birth–death models and demonstrate via example that similar scaling limits can yield Lyapunov functions even for models that are not complex or detailed balanced, and may even have multiple equilibria.

U2 - 10.1007/s11538-015-0102-8

DO - 10.1007/s11538-015-0102-8

M3 - Journal article

VL - 77

SP - 1744

EP - 1767

JO - Bulletin of Mathematical Biology

JF - Bulletin of Mathematical Biology

SN - 0092-8240

IS - 9

ER -

ID: 148693029