Abstract
Dynamics of a general reaction–diffusion equation with distributed delay are considered. The effects of the weak kernel and the strong kernel on the dynamics of the system are both investigated. By analyzing the characteristic equations in detail and taking the average delay as a bifurcation parameter, the stability of the constant equilibrium and the existence of Hopf bifurcations are obtained. The absolute stability and the conditional stability can be explicitly determined by the coefficients of the linearized system. For the case of the strong kernel, the average delay may induce the stability switches, but it is not able to occur for the case of the weak kernel. The algorithm for determining the direction and stability of the bifurcating periodic solutions is derived. Finally, the obtained theoretical results are applied to several single-species models, and the numerical simulations are illustrated to verify the theoretical results.
Similar content being viewed by others
References
Cohen, D.S., Rosenblat, S.: Multispecies interactions with hereditary effects and spatial diffusion. J. Math. Biol. 7, 231–241 (1979)
Yi, F., Wei, J., Shi, J.: Bifurcation and spatio-temporal patterns in a diffusive homogeneous predator–prey system. J. Differ. Equ. 246, 1944–1977 (2009)
Wang, J., Shi, J., Wei, J.: Dynamics and pattern formation in a diffusive predator–prey system with strong Allee effect in prey. J. Differ. Equ. 251, 1276–1304 (2011)
Zuo, W., Wei, J.: Multiple bifurcations and spatiotemporal patterns for a coupled two-cell Brusselator model. Dyn. Partial Differ. Equ. 8, 363–384 (2011)
Volterra, V.: Remarques sur la note de M. Régnier et lle Lambin (Étude d’un casd’antagonisme microbien). C. R. Acad. Sci. 199, 1684–1686 (1934)
Gourley, S.A., Ruan, S.: Dynamics of the diffusive Nicholson’s Blowflies equation with distributed delay. Proc. R. Soc. Edinb. Sect. A 130A, 1275–1291 (2000)
Britton, N.F.: Spatial structures and periodic traveling waved in an integro-differential reaction–diffusion population model. SIAM J. Appl. Math. 50, 1663–1688 (1990)
Peng, Y., Song, Y.: Existence of traveling wave solutions for a reaction–diffusive equation with distributed delays. Nonlinear Anal. 67, 2415–2423 (2007)
Ruan, S., Wolkowicz, G.S.: Bifurcation analysis of a Chemostat model with a distribute delay. J. Math. Anal. Appl. 204, 786–812 (1996)
Travis, C.C., Webb, G.F.: Existence and stability for partial functional differential equations. Trans. Am. Math. Soc. 200, 395–418 (1974)
Webb, G.F.: Autonomous nonlinear functional differential equations and nonlinear semigroups. J. Math. Anal. Appl. 46, 1–12 (1974)
Webb, G.F.: Asymptotic stability for abstract functional differential equations. Proc. Am. Math. Soc. 54, 225–230 (1976)
Fitzgibbon, W.E.: Semilinear functional differential equations in Banach space. J. Differ. Equ. 29, 1–14 (1978)
Rankin, S.M.: Existence and asymptotic behavior of a functional differential equation in Banach space. J. Math. Anal. Appl. 88, 531–542 (1982)
Lin, X., So, J.W.-H., Wu, J.: Centre manifolds for partial differential equations with delays. Proc. R. Soc. Edinb. Sect. A 122A, 237–254 (1992)
Hale, J.K., Ladeira, L.A.C.: Differentiability with respect to delays for a retarded reaction–diffusion equation. Nonlinear Anal. 20, 793–801 (1993)
Faria, T.: Normal forms and Hopf bifurcation for partial differential equations with delay. Trans. Am. Math. Soc. 352, 2217–2238 (2000)
Wu, J.: Theory and Applications of Partial Functional-Differential Equations. Appl. Math. Sci., vol. 119. Springer, New York (1996)
Martin, R.H., Smith, H.L.: Reaction–diffusion systems with time delays: monotonicity, invariance, comparison, and convergence. J. Reine Angew. Math. 413, 1–35 (1991)
Busenberg, S., Huang, W.: Stability and Hopf bifurcation for a population delay model with diffusion effects. J. Differ. Equ. 124, 80–107 (1996)
Yan, X., Li, W.: Stability of bifurcating periodic solutions in a delayed reaction–diffusion population model. Nonlinearity 23, 1413–1431 (2010)
Su, Y., Wei, J., Shi, J.: Hopf bifurcations in a reaction–diffusion population model with delay effect. J. Differ. Equ. 247, 1156–1184 (2009)
Su, Y., Wei, J., Shi, J.: Hopf bifurcation in a diffusive Logistic equation with mixed delayed and instantaneous density dependence. J. Dyn. Differ. Equ. 24, 897–925 (2012)
So, J.W.-H., Yang, Y.: Dirichlet problem for the diffusive Nicholson’s Blowflies equation. J. Differ. Equ. 150, 317–348 (1998)
So, J.W.-H., Wu, J., Yang, Y.: Numerical steady state and Hopf bifurcation analysis on the diffusive Nicholson’s Blowflies equation. Appl. Math. Comput. 111, 33–51 (2000)
Su, Y., Wei, J., Shi, J.: Bifurcation analysis in a delayed diffusive Nicholson’s Blowflies equation. Nonlinear Anal. Real World Appl. 11, 1692–1703 (2010)
Wang, Y., Ding, X.: Dynamics of numerical discretization in a delayed diffusive Nicholson’s Blowflies equation. Appl. Math. Comput. 222, 589–603 (2013)
So, J.W.-H., Zou, X.: Traveling waves for the diffusive Nicholson’s blowflies equation. Appl. Math. Comput. 122, 385–392 (2001)
MacDonald, N.: Time Lags in Biological Models, Lecture Notes in Biomathematics, vol. 27. Springer, Berlin (1978)
Blyuss, K.B., Kyrychko, Y.N.: Stability and bifurcations in an epidemic model with varying immunity period. Bull. Math. Biol. 72, 490–505 (2010)
Crauste, F.: Stability and Hopf bifurcation for a first-order delay differential equation with distributed delay. In: Atay, F.M. (ed.) Complex Time-Delay Systems: Theory and Applications, pp. 263–296. Springer, Berlin (2010)
Campbell, S.A., Jessop, R.: Approximating the stability region for a differential equation with a distributed delay. Math. Model. Nat. Phenom. 4, 1–27 (2009)
Han, Y., Song, Y.: Stability and Hopf bifurcation in a three-neuron unidirectional ring with distributed delays. Nonlinear Dyn. 69, 357–370 (2012)
Song, Y., Han, Y., Peng, Y.: Stability and Hopf bifurcation in an unidirectional ring of n neurons with distributed delays. Neuroncomputing 122, 442–452 (2013)
Ruan, S., Arino, O., et al.: Delay Differential Equations and Applications, pp. 477–517. Springer, Berlin (2006)
Krise, S., Choudhury, S.R.: Bifurcations and chaos in a predator–prey model with delay and a laser-diode system with self-sustained pulsations. Chaos Solitons Fractals 16, 59–77 (2003)
Zhang, C., Yan, X., Cui, G.: Hopf bifurcations in a predator–prey system with a discrete and a distributed delay. Nonlinear Anal. Real World Appl. 11, 4141–4153 (2010)
Hu, R., Yuan, Y.: Spatially nonhomogeneous equilibrium in a reaction–diffusion system with distributed delay. J. Differ. Equ. 250, 2779–2806 (2011)
Ruan, S., Wei, J.: On the zeros of transcendental functions with applications to stability of delay differential equations with two delays. Dyn. Contin. Discrete Impuls. Syst. Ser. A Math. Anal. 10, 863–874 (2003)
Hassard, B., Kazarinoff, N., Wan, Y.: Theory and Applications of Hopf Bifurcation. Cambridge University Press, Cambridge (1981)
Weng, P., Xu, Z.: Wavefronts for a global reaction–diffusion population model with infinite distributed delay. J. Math. Anal. Appl. 345, 522–534 (2008)
Acknowledgments
The first author is supported by the National Natural Science Foundation of China (Nos. 11326119,11401584) and Shandong Provincial Natural Science Foundation, China (No. ZR2013AQ023), and the Fundamental Research Funds for the Central Universities (No. 14CX02220A); the second author is supported by the State Key Program of National Natural Science of China (No. 11032009) and the Program for New Century Excellent Talents in University (NCET-11-0385).
Author information
Authors and Affiliations
Corresponding author
Appendices
Appendix 1
Proof of Lemma 2
Differentiating the two sides of (7) with respect to \(\tau \) leads to
For convenience, denote \(\tau =\tau _{1n}\) or \(\tau =\tau _{2n}\) by \(\tau ^*\), by (8), and then we have
where \(\tilde{\varDelta }={\tau ^*}^3\left( \omega _n^2+\left( \frac{\mathrm{d}n^2}{l^2}-a +\frac{2}{\tau ^*}\right) ^2\right) \). Since \(\tau _{1n}\tau _{2n}=\frac{1}{\left( \frac{\mathrm{d}n^2}{l^2}-a\right) ^2}\), and \(\tau _{1n}<\tau _{2n}\), we have
Thus, \(\left. Re(\frac{\mathrm{d}\lambda }{\mathrm{d}\tau })\right| _{\tau =\tau _{1n}}>0,~\left. Re(\frac{\mathrm{d}\lambda }{\mathrm{d}\tau })\right| _{\tau =\tau _{2n}}<0\).
Appendix 2
We first transform System (1) into the following operator equation:
where \(u_t=u(t+\theta ),~\theta \in (-\infty ,0],\,A\) and \(G\) are defined by
where \(a=F'_1(k,k),~b=F'_2(k,k)\) are as previously shown, \(F''_{11},F''_{12},F''_{22},F'''_{111},F'''_{112},etc\) denote the high-order partial derivations at \((k, k)\).
The adjoint operator \(A^*\) of \(A\) is defined as
Define the bilinear pairing
It can be verified that \(q(\theta )=e^{i\omega \theta },~\theta \in (-\infty ,0]\) is an eigenvector of \(A\) corresponding to \(i\omega \). \(q^*(s)=re^{i\omega s},~s\in [0,+\infty )\) is an eigenvector of \(A^*\) corresponding to \(-i\omega \), where
By (19) and \(Aq(0)=i\omega q(0),~A^*q^*(0)=-i\omega q^*(0)\), we can compute that
And \(\langle \cos {\frac{nx}{l}},\cos {\frac{nx}{l}}\rangle =1,~n=0\) and \(\langle \cos {\frac{nx}{l}},\cos {\frac{nx}{l}}\rangle =\frac{1}{2},~n=1,2,\ldots .\)
Then, the center subspace of linear equation of (17) with \(\alpha =0\) is given by \(P_{CN}\fancyscript{C}\), where
Following the notation as Hassard et al. [40], the solution \(u_t\) of Eq. (17) with \(\alpha =0\) is as follows:
where
On the center manifold \(\fancyscript{C}_0\), the local coordinates \(z\) in the direction of \(q^*\) satisfy
where
Noticing that
and combining (18), (20)–(23), we have,
Since \(W_{11}(\theta )\) and \(W_{20}(\theta )\) are included in \(g_{21}\), we will compute them.
By Wu [18], \(W(z,\bar{z})\) satisfies
where
Comparing the coefficient, we obtain,
According to (21), (22), (24), (25), we have
By the definition of \(A\) and (26), we can obtain
Notice that, when \(\theta =0\), by (26) and \(Aq(0)=i\omega q(0)\) and \(A^*q^*(0)=-i\omega q^*(0)\), we have
Hence,
which leads to
By the same way, we have
Rights and permissions
About this article
Cite this article
Zuo, W., Song, Y. Stability and bifurcation analysis of a reaction–diffusion equation with distributed delay. Nonlinear Dyn 79, 437–454 (2015). https://doi.org/10.1007/s11071-014-1677-6
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11071-014-1677-6