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A network dynamics approach to chemical reaction networks
- Source :
- International Journal of Control, 89(4), 731-745. Taylor & Francis Ltd
- Publication Year :
- 2016
- Publisher :
- Taylor & Francis Ltd, 2016.
-
Abstract
- A crisp survey is given of chemical reaction networks from the perspective of general nonlinear network dynamics, in particular of consensus dynamics. It is shown how by starting from the complex-balanced assumption the reaction dynamics governed by mass action kinetics can be rewritten into a form which allows for a very simple derivation of a number of key results in chemical reaction network theory, and which directly relates to the thermodynamics of the system. Central in this formulation is the definition of a balanced Laplacian matrix on the graph of chemical complexes together with a resulting fundamental inequality. This directly leads to the characterization of the set of equilibria and their stability. Both the form of the dynamics and the deduced dynamical behavior are very similar to consensus dynamics. The assumption of complex-balancedness is revisited from the point of view of Kirchhoff's Matrix Tree theorem, providing a new perspective. Finally, using the classical idea of extending the graph of chemical complexes by an extra 'zero' complex, a complete steady-state stability analysis of mass action kinetics reaction networks with constant inflows and mass action outflows is given.<br />Comment: 18 pages
- Subjects :
- 0301 basic medicine
0209 industrial biotechnology
Stability (learning theory)
Chemical reaction network theory
02 engineering and technology
Dynamical Systems (math.DS)
Consensus dynamics
03 medical and health sciences
020901 industrial engineering & automation
Simple (abstract algebra)
FOS: Mathematics
Statistical physics
Mathematics - Dynamical Systems
Mathematics - Optimization and Control
Mathematics
Discrete mathematics
chemical reaction networks
Network dynamics
Computer Science Applications
network dynamics
Nonlinear system
030104 developmental biology
Control and Systems Engineering
Reaction dynamics
Optimization and Control (math.OC)
Laplacian matrix
nonlinear systems
Subjects
Details
- Language :
- English
- ISSN :
- 13665820
- Volume :
- 89
- Issue :
- 4
- Database :
- OpenAIRE
- Journal :
- International Journal of Control
- Accession number :
- edsair.doi.dedup.....a8b804e7d36277bd6f1fa84d74740d95
- Full Text :
- https://doi.org/10.1080/00207179.2015.1095353