Abstract
There are different types of functional differential equations (FDEs) arising from important applications: delay differential equations (DDEs) (also referred to as retarded FDEs [RFDEs]), neutral FDEs (NFDEs), and mixed FDEs (MFDEs). The classification depends on how the current change rate of the system state depends on the history (the historical status of the state only or the historical change rate and the historical status) or whether the current change rate of the system state depends on the future expectation of the system. Later we will also see that the delay involved may also depend on the system state, leading to DDEs with state-dependent delay.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Arino, O., Sánchez, E.: A variation of constants formula for an abstract functional-differential equation of retarded type. Differ. Integr. Equat. 9(6), 1305–1320 (1996)
Bellman, R., Cooke, K.L.: Differential Difference Equations. Academic Press, New York (1963)
Busenberg, S., Huang, W.: Stability and Hopf bifurcation for a population delay model with diffusion effects. J. Differ. Equat. 124(1), 80–107 (1996)
Busenberg, S., Travis, C.C.: On the use of reducible functional differential equations. J. Math. Anal. Appl. 89, 46–66 (1982)
Campbell, S.A.: Time delays in neural systems. In: McIntosh, R., Jirsa, V.K. (eds.) Handbook of Brain Connectivity. Springer, New York (2007)
Chen, Y., Wu, J.: Existence and attraction of a phase-locked oscillation in a delayed network of two neurons. Differ. Integr. Equat. 14, 1181–1236 (2001)
Chow, S.-N., Mallet-Paret, J.: Singularly perturbed delay differential equations. In: Chandra, J., Scott, A. (eds.) Coupled Oscillators, pp. 7–12. North-Holland, Amsterdam (1983)
Cushing, J.M.: Integrodifferential Equations and Delay Models in Population Dynamics. Lecture Notes in Biomathematics, vol. 20. Springer, New York (1977)
Grabosch, A., Moustakas, U.: A semigroup approach to retarded differential equations. In: Nagel, R. (ed.) One-parameter Semigroups of Positive Operators. Lecture Notes in Mathematics, vol. 1184, pp. 219–232. Springer, Berlin (1986)
Hale, J.K.: Linear Functional-Differential Equations with Constant Coefficients. Contributions to Differential Equations II, pp. 291–317. Research Institute for Advanced Studies, Baltimore (1963)
Hale, J.K.: Flows on centre manifolds for scalar functional differential equations. Proc. Math. Roy. Soc. Edinb. 101A, 193–201 (1985)
Hale, J.K., Verduyn Lunel, S.M.: Introduction to Functional Differential Equations. Springer, New York (1993)
Hopfield, J.J.: Neurons with graded response have collective computational properties like those of two-state neurons. Proc. Nat. Acad. Sci. U.S.A. 81, 3088–3092 (1984)
Kuang, K.: Global attractivity and periodic solutions in delay-differential equations related to models in physiology and population biology. Jpn. J. Ind. Appl. Math. 9, 205–238 (1992)
Kulenovic, M.R.S., Ladas, G.: Linearized oscillations in population dynamics. Bull. Math. Biol. 49, 615–627 (1987)
Lenhart, S.N., Travis, C.C.: Stability of functional partial differential equations. J. Differ. Equat. 58, 212–227 (1985)
Levinger, B.W.: A Folk theorem in functional differential equations. J. Differ. Equat. 4, 612–619 (1968)
Li, S., Liao, X., Li, C., Wong, K.-W.: Hopf bifurcation of a two-neuron network with different discrete time delays. Int. J. Bifurcat. Chaos Appl. Sci. Eng. 15, 1589–1601 (2005)
Milton, J.: Dynamics of Small Neural Populations. American Mathematical Society, Providence, RI (1996)
Ruan, S., Filfil, R.F.: Dynamics of a two-neuron system with discrete and distributed delays. Phys. D 191, 323–342 (2004)
Skinner, F.K., Bazzazi, H., Campbell, S.A.: Two-cell to N-cell heterogeneous, inhibitory networks: precise linking of multistable and coherent properties. J. Comput. Neurosci. 18, 343–352 (2005)
Tu, F., Liao, X., Zhang, W.: Delay-dependent asymptotic stability of a two-neuron system with different time delays. Chaos Solitons Fractals 28, 437–447 (2006)
Wright, E.M.: A nonlinear differential difference equation. J. Reine Angew. Math. 194, 66–87 (1955)
Wu, J.: Theory and Applications of Partial Functional Differential Equations. Springer, New York (1996)
Wu, J.: Introduction to Neural Dynamics and Signal Transmission Delay. Walter de Gruyter, Berlin (2001)
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer Science+Business Media New York
About this chapter
Cite this chapter
Guo, S., Wu, J. (2013). Introduction to Functional Differential Equations. In: Bifurcation Theory of Functional Differential Equations. Applied Mathematical Sciences, vol 184. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6992-6_2
Download citation
DOI: https://doi.org/10.1007/978-1-4614-6992-6_2
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4614-6991-9
Online ISBN: 978-1-4614-6992-6
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)