Abstract
Chemical reaction networks with arbitrary constant delays assigned to the reactions are studied in this paper. The delayed models are approximated using the chain method known from the theory of differential equations. It is shown that important structural properties (such as reversibility and deficiency) of the approximated models are preserved in the approximating reaction networks. Moreover, the approximation gives rise to a Lyapunov–Krasovskii functional candidate for the original delayed systems that can be efficiently used for stability analysis.
Similar content being viewed by others
References
Anderson DF (2011) A proof of the global attractor conjecture in the single linkage class case. SIAM J Appl Math 71:1487–1508. arXiv:1101.0761
Chellaboina V, Bhat SP, Haddad WM, Bernstein DS (2009) Modeling and analysis of mass-action kinetics - nonnegativity, realizability, reducibility, and semistability. IEEE Control Systems Magazine 29:60–78
Craciun G (2015) Toric differential inclusions and a proof of the global attractor conjecture. ArXiv:1501.02860 [math.DS]
Craciun G, Dickenstein A, Shiu A, Sturmfels B (2009) Toric dynamical systems. Journal of Symbolic Computation 44:1551–1565
Craciun G, Pantea C (2008) Identifiability of chemical reaction networks. Journal of Mathematical Chemistry 44:244–259
Elgeti K (1996) A new equation for correlating a pipe flow reactor with a cascade of mixed reactors. Chemical Engineering Science 51(23):5077–5080
Érdi P, Tóth J (1989) Mathematical Models of Chemical Reactions. Theory and Applications of Deterministic and Stochastic Models. Manchester University Press, Princeton University Press, Manchester, Princeton
Erneux T (2009) Applied delay differential equations, vol. 3. Springer Science & Business Media, New York
Feinberg M (1979) In: Lectures on chemical reaction networks. University of Wisconsin, Notes of lectures given at the Mathematics Research Center. https://crnt.osu.edu/LecturesOnReactionNetworks
Fraser A, Tiwari J (1974) Genetic feedback repression. II. Cyclic genetic systems. Journal of Theoretical Biology 47:397–412
Fridman, E.: Introduction to Time-Delay Systems. Birkhauser (2014)
Gopalkrishnan M, Miller E, Shiu A (2013) A geometric approach to the global attractor conjecture. SIAM Journal on Applied Dynamical Systems 13:758–797
Győri I (1988) Two approximation techniques for functional differential equations. Computers and Mathematics with Applications 16:195–214
Győri I, Turi J (1991) Uniform approximation of a nonlinear delay equation on infinite intervals. Nonlinear Analysis: Theory, Methods & Applications 17:21–29
Haddad, W.M., Chellaboina, V., Hui, Q.: Nonnegative and Compartmental Dynamical Systems. Princeton University Press (2010)
Hárs V, Tóth J (1981) On the inverse problem of reaction kinetics. In: Farkas M, Hatvani L (eds) Qualitative theory of differential equations, Coll. Math. Soc. J. Bolyai, vol 30. North-Holland, Amsterdam, pp 363–379
Krasznai B (2015) The modified chain method for delay differential equations with applications. Ph.D. thesis, University of Pannonia, Hungary
Krasznai B, Győri I, Pituk M (2010) The modified chain method for a class of delay differential equations arising in neural networks. Mathematical and Computer Modelling 51:452–460
Lipták G, Pituk M, Hangos KM, Szederkényi G (2017) Semistability of complex balanced kinetic systems with arbitrary time delays. ArXiv e-prints [math.DS]. https://arxiv.org/abs/1704.05930
Ma W, Song M, Takeuchi Y (2004) Global stability of an SIR epidemic model with time delay. Appl Math Lett 17:1141–1145
MacDonald N (1977) Time lag in a model of a biochemical reaction sequence with end product inhibition. J Theor Biol 67:549–556
Mincheva M, Roussel MR (2007) Graph-theoretic methods for the analysis of chemical and biochemical networks. II. Oscillations in networks with delays. Journal of Mathematical Biology 55:87–104
Novák B, Tyson JJ (2008) Design principles of biochemical oscillators. Nature Reviews 9:981–991
Orosz G, Wilson RE, Stépán G (2010) Traffic jams: dynamics and control. Philosophical Transactions of the Royal Society A 368:4455–4479
Repin YM (1965) On the approximate replacement of systems with lag by ordinary dynamical systems. Journal of Applied Mathematics and Mechanics 29:254–264
Roussel MR (1996) The use of delay differential equations in chemical kinetics. The Journal of Physical Chemistry 100(20):8323–8330
Stépán G (1989) Retarded Dynamical Systems: Stability and Characteristic Functions. Longman Scientific and Technical, Harlow
Szederkényi G (2010) Computing sparse and dense realizations of reaction kinetic systems. Journal of Mathematical Chemistry 47:551–568. https://doi.org/10.1007/s10910-009-9525-5 URL: http://www.springerlink.com
van der Schaft A, Rao S, Jayawardhana B (2015) Complex and detailed balancing of chemical reaction networks revisited. Journal of Mathematical Chemistry 53(6):1445–1458. https://doi.org/10.1007/s10910-015-0498-2
Acknowledgements
This research has been supported by the Hungarian National Research, Development and Innovation Office - NKFIH through the Grant K115694. The work has also been supported by the European Union, co-financed by the European Social Fund through the Grant EFOP-3.6.3-VEKOP-16-2017-00002.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Lipták, G., Hangos, K.M. & Szederkényi, G. Approximation of delayed chemical reaction networks. Reac Kinet Mech Cat 123, 403–419 (2018). https://doi.org/10.1007/s11144-017-1341-5
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11144-017-1341-5