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March 2017, 22(2): 647-668. doi: 10.3934/dcdsb.2017031
The bifurcation analysis of turing pattern formation induced by delay and diffusion in the Schnakenberg system
Fengqi Yi 1,, , Eamonn A. Gaffney 2, and Sungrim Seirin-Lee 3,
Department of Mathematics, Harbin Institute of Technology, Harbin 150001, Heilongjiang, China
Wolfson Centre for Mathematical Biology, Mathematical Institute, University of Oxford, Andrew Wiles Building, Radcliffe Observatory Quarter, Woodstock Road, Oxford OX2 6GG, UK
Department of Mathematical and Life Sciences, Hiroshima University, Kagamiyama 1-3-1, Higashi-hiroshima 739-0046, Japan and JST, PRESTO, 4-1-8 Honcho, Kawaguchi, Saitama, 332-0012, Japan
1Corresponding Author
Received January 2016 Revised June 2016 Published December 2016
Figure(2)
A delayed reaction-diffusion Schnakenberg system with Neumann boundary conditions is considered in the context of long range biological self-organisation dynamics incorporating gene expression delays. We perform a detailed stability and Hopf bifurcation analysis and derive conditions for determining the direction of bifurcation and the stability of the bifurcating periodic solution. The delay-diffusion driven instability of the unique spatially homogeneous steady state solution and the diffusion-driven instability of the spatially homogeneous periodic solution are investigated, with limited simulations to support our theoretical analysis. These studies analytically demonstrate that the modelling of gene expression time delays in Turing systems can eliminate or disrupt the formation of a stationary heterogeneous pattern in the Schnakenberg system.
Keywords: Schnakenberg model, delay and diffusion, normal form method, Hopf bifurcation, diffusion driven instability, delay-diffusion driven instability.
Mathematics Subject Classification: Primary: 35B32, 37G15, 35B36, 92C15; Secondary: 37L1.
Citation: Fengqi Yi, Eamonn A. Gaffney, Sungrim Seirin-Lee. The bifurcation analysis of turing pattern formation induced by delay and diffusion in the Schnakenberg system. Discrete & Continuous Dynamical Systems - B, 2017, 22 (2) : 647-668. doi: 10.3934/dcdsb.2017031
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Figure 1. A: The parameter space of $(a, b)$ which satisfies Theorem 2.4. In the white region, we will have a stable periodic solution for the FDEs. B: A bifurcation diagram for $\tau$ for the FDEs. This has been plotted using the value of $u(t)$ at which $v(t)=v_*$. The parameter values $(a, b)=(0.1, 0.9)$ have been chosen and the system exhibits the first Hopf bifurcation at approximately $\tau_0=0.2171$. For $\tau\in[0, \tau_0)$, $E_*=(1.0, 0.9)$ is always asymptotically stable, bifurcating first at $\tau_0$ then exhibiting subsequent bifurcations with frequency doubling prior to chaotic dynamics
Figure 2. A homogeneous periodic solution for $u$ with $0< \varepsilon<1$. The parameter values for the simulations are given by $a=0.1, b=0.9, \varepsilon=0.1$. A: A plot of $u$ for $d=0.5$, when equation (43) is satisfied. B: A plot of $u$ for $d=5\times 10^{-5}$, when equation (43) is not satisfied
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Fengqi Yi Eamonn A. Gaffney Sungrim Seirin-Lee