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Reduction and normal forms for a delayed reaction–diffusion differential system with B–T singularity
Advances in Difference Equations volume 2019, Article number: 204 (2019)
Abstract
In this paper, we expanded our computation to obtain a simpler and detailed reduction and normal form of a delayed reaction–diffusion differential system with Bogdanov–Takens (B–T) singularity. By using the central manifold reduction method, we try to reduce the dimension of phase space without changing the dynamic behavior of the system. Next, by normal form theory, we try to simplify the form of differential equations, and then succeeded in obtaining a simpler and more specific parameterized delayed ordinary differential system on its center manifold. Finally, two examples show that the given algorithm is effective.
1 Introduction
Common bifurcations include the Hopf bifurcation and the B–T bifurcation, a B–T bifurcation is a wellstudied example of a bifurcation with codimension two, meaning that two parameters must be varied for the bifurcation to occur. It is named after Bogdanov and Takens, who independently and simultaneously described this bifurcation [1,2,3]. At the Bogdanov–Takens bifurcation, for the system there may appear a saddle node bifurcation, Hopf bifurcation or homoclinic bifurcation, and the B–T bifurcation can further provide more information about periodic behavior and global dynamic behavior. We discuss the bifurcation phenomenon, which is to find the universal unfolding of the system, however, due to the diversity of disturbances, finding a universal unfolding is not easy. Over the past 40 years, great progress has been made in the bifurcation analysis of functional differential equations [4,5,6,7,8,9,10]. Most of the current bifurcation theory studies are focused on ordinary differential systems or delayed differential systems. In real nature, many phenomena can be more realistic if they are described by partial functional differential equations, so people pay more and more attention to the application of partial functional differential equations. There are two difficulties in bifurcation analysis for reaction–diffusion systems with time delay. If the system contains both time delay and diffusion, it will become an infinite dimensional dynamic system. The characteristic equation of the linearized equation at a certain equilibrium state is a transcendental algebraic equation, and it is difficult to calculate its characteristic root. On the other hand, it is difficult to analyze the eigenvalues of infinite dimensional operators, especially in the analysis of the existence of the bifurcation and the stability of its periodic solution.
As is well known, the dimension of an ordinary differential system with B–T singularity is at least 2, but this is not true for delayed differential system and reaction–diffusion system. Faria and Magalhães showed that B–T singularity may happen in scalar delayed differential system [4]. Furthermore, in some special cases, reaction–diffusion system can undergo B–T bifurcation only needing one parameter to take its critical value, which suggests that reaction–diffusion system can display more complex dynamical behavior [11]. Xu and Huang gave a necessary and sufficient condition to characterize the B–T singularity in the first place. Meanwhile, Xu and Huang described the bifurcation behavior of system with B–T singularity in detail [12]. In our previous paper [13], we have studied a class of delayed reaction–diffusion systems,
where \(\alpha =(\alpha _{1},\alpha _{2})\in \mathbb {R}^{2}\) is the bifurcation parameter, \(D=\operatorname{diag}(d_{1},d_{2},\ldots,d_{n})\), \(x\in \varOmega =(0,\pi )\), \(u(x,t):\varOmega \times \mathbb {R}\rightarrow \mathbb {R}^{n}\). △ is the Laplacian operator in \(\mathbb {R}\), the homogeneous Neumann boundary condition \(\frac{\partial u}{\partial \nu }=0\) shows that there is no movement on the boundary.
We have already analyzed the generalized eigenvector associated with zero eigenvalue, an equivalent condition for the determination of B–T singularity is obtained. Next, by using center manifold theory and normal form method, we had a twodimension ordinary differential system on its center manifold. In this paper, we will expand our computation to obtain a simpler and detailed reduction and normal form of system (1). By using the central manifold reduction method and normal form theory, we try to reduce the dimension of phase space without changing the dynamic behavior of the system, and succeeded in obtaining a simpler and more specific parameterized delayed ordinary differential system on its center manifold. The contribution of this paper and its difference with [13] is that, first, compared with Theorem 2 in [13], Lemma 1 have defined the basis of, P̃ and its conjugate space \(\tilde{P^{\ast }}\), and determined six conditions for calculating parameters \(\phi _{1}^{0}\), \(\psi _{2}^{0}\), coefficients of \(\phi _{2}^{0}\), \(\psi _{1}^{0}\) and coefficients of \(\phi _{1}^{0}\), \(\psi _{2}^{0}\), we also completed the detailed proof of Lemma 1. Second, we have calculated in detail one basis of \(V_{2}^{4}(\mathbb {R}^{2})\), their images under \(M_{2}^{\prime }\), one basis of \(\operatorname{Im}(M_{2}^{1})^{c}\), these are the most critical results in the derivation Theorem 1. Third, by comparing with [13], we find that the delayed reaction–diffusion differential system and the delayed differential system have the same normal form of B–T bifurcation, except at \(\varPhi (\theta )\) and \(\varPsi (s)\). For the reduced system (26), its local bifurcation behavior is determined by linear and secondorder terms, rather than by higher order terms. In (26), we ignore the terms higher than the secondorder terms, and give a brief list of the results for sufficiently small \(\mu _{1}\), \(\mu _{2}\) and \(\varepsilon =1\). Thus, Theorem 2 proposed the phase diagram of the system (27) and the boundary lines on parameter plane \((\mu _{1},\mu _{2})\). This paper is organized as follows: in Sect. 2, basic assumptions and preliminaries for this paper; by using center manifold Theorem and normal form method, the precise statements and proofs of our main results are shown in Sect. 3; finally, two examples also provided in Sect. 4.
2 Preliminaries
The first of our basic assumptions on system (1) is:

(H1)
\(M(\alpha )\), \(N(\alpha )\) are \(C^{r}\) (\(r\geq 2\)) smooth matrixvalued functions from \(\mathbb {R}^{2}\) to \(\mathbb {R}^{n \times n}\), \(f(x,y,\alpha )\) is a \(C^{r}\) (\(r\geq 2\)) smooth function from \(\mathbb {R}^{n}\times \mathbb {R}^{n}\times \mathbb {R}^{2}\) to \(\mathbb {R}^{n}\), and
$$\begin{aligned}& f(0,0,\alpha )=0, \quad\quad \frac{\partial f}{\partial x}(0,0,\alpha )=0, \quad\quad \frac{ \partial f}{\partial y}(0,0,\alpha )=0,\quad \forall \alpha \in \mathbb {R}^{2}, \end{aligned}$$(2)$$\begin{aligned}& \begin{gathered} \frac{d}{d \alpha }f(0,0,\alpha )=0,\quad\quad \frac{d}{d\alpha }\frac{\partial f}{\partial x}(0,0,\alpha )=0, \quad\quad \frac{d}{d\alpha }\frac{\partial f}{ \partial y}(0,0,\alpha )=0,\\\quad \forall \alpha \in \mathbb {R}^{2}. \end{gathered} \end{aligned}$$(3)
Let \(M=M(0) \), \(N=N(0)\), then (1) becomes
\(C_{n}=C([1,0],\mathbb {R}^{n})\) is used to represent the space of the continuous mapping from \([1,0]\) to \(\mathbb {R}^{n}\). Let
Here \(\eta _{\alpha }(\theta )\) is a matrixvalued function with bounded variation on \([1,0]\). Note that
Let \(V_{1}(t)=u_{1}(\cdot ,t),V_{2}(t)=u_{2}(\cdot ,t),\ldots,V_{n}(t)=u _{n}(\cdot ,t),V=(V_{1},V_{2},\ldots,V_{n})^{T}\), then
can be regarded as a bounded linear operator from \(C_{n}\) to \(\mathbb {R}^{n}\), where \(V_{t}(\theta )=V(t+\theta )\). If \(\alpha =0\), then we have
According to the definition of \(L_{0}\), we can get \(L_{0}(\zeta )=(M+N) \zeta \), \(L_{0}(\theta \zeta )=N\zeta \), \(L_{0}(\theta ^{2}\zeta )=N \zeta \), \(\forall \zeta \in \mathbb {R}^{n}\), and \(L_{0}(e^{\lambda \theta }\zeta )=(M+Ne^{\lambda })\zeta \), \(\forall \zeta \in \mathbb {R}^{n}\). System (1) becomes
(4) becomes
Linearize (6) at \((V_{t},\alpha )=(0,0)\), then [14, 15]
The solution of (7) defines a \(C_{0}\) semigroup \(\{T_{0}(t):t\geq 0\}\) on \(C_{n}\), its infinitesimal generator \(\mathcal{A}_{0}:C_{n}\rightarrow C_{n}\) can be defined as
(7) is equivalent to
We know that the spectrum of \(\mathcal{A}_{0}\) is only a point spectrum, that is, \(\sigma (\mathcal{A}_{0})=\sigma _{p}(\mathcal{A}_{0})\), and
Under the Neumann boundary condition, the characteristic root of Δ is \(k^{2}\) and the characteristic function is \(\gamma _{k}= \cos (kx)\), \(k=0,1,2,\ldots \) . Let
Then \(\eta _{\alpha }^{k}(\theta )\) is actually a bounded variation matrixvalued function on \([1,0]\), and
The further hypotheses of system (1) are:

(H2)
If \(\lambda \in \sigma _{p}(\mathcal{A}_{0})\backslash \{0\}\), then \(\operatorname{Re}\lambda \neq 0\);

(H3)
\(\lambda =0\) is an eigenvalue of \(\mathcal{A}_{0}\) with algebraic multiplicity 2 and geometric multiplicity 1.
If conditions (H1)–(H3) can be satisfied, we say that system (1) has a B–T singularity, \((V,\alpha )=(0,0)\) is the B–T point. Theorem 1 in [13] gave an equivalent description for B–T singularity in (1), which can be used as a feasible algorithm for determining the B–T singularity.
3 Reduction and normal forms for system (1)
In this section, we will continue to explore the reduction and normal forms for system (1) with B–T singularity, based on the theory in [4, 16], we find that (1) can be reduced to a simple twodimensional ordinary differential system on its central manifold. By (6), we can transform the system (1) with parameters into the following system without parameters:
\(\tilde{C}_{n+2}:=C([1,0],\mathbb {R}^{n}\times \mathbb {R}^{2})\) denotes its phase space.
Let \({\tilde{V}(t)=(V(t),\alpha (t))\in \mathbb {R}^{n}\times \mathbb {R}^{2}}\) be the solution of (9), then (9) becomes
where \(\tilde{D}=\operatorname{diag}(D,0_{2})\), \(\tilde{L_{0}}\tilde{V_{t}}=(L_{0}V_{t},0)\) is a bounded linear operator from \(\tilde{C}_{n+2}\) to \(\mathbb {R}^{n} \times \mathbb {R}^{2}\). \(\tilde{f}(\tilde{V}_{t})=[L(\alpha (0))L _{0}]V_{t}+f(V_{t},\alpha (0),0):=(\hat{f}(V_{t},\alpha ),0)\), where \(V_{t}\in C_{n}\), \(\alpha \in C_{2}:=C([1,0],\mathbb {R}^{2})\).
Consider the linearized system of (11) at \(\tilde{V}_{t}=0\)
using \(\tilde{\mathcal{A}}_{0}\) to represent the infinitesimal generator of \(C_{0}\)semigroup associated with (12), then \(\tilde{\mathcal{A}} _{0}=(\mathcal{A}_{0},0)\). The characteristic roots of \(\tilde{\mathcal{A}}_{0}\) include not only all the characteristic roots of \(\tilde{\mathcal{A}}_{0}\), but also two zero eigenvalues when \(\dot{\alpha }=0\). Let Γ̃ be the set of all zero eigenvalues (multiplicity computation). Now we consider the decomposition of the phase space \(C_{n}\) of (6). Let \(C_{n}=P\oplus Q\), where P is the invariant space of \(\mathcal{A}_{0}\) associated with zero eigenvalues, Q is the complementary space of P. \(C_{n}^{*}=C([0,1],\mathbb {R}^{n*})\) denotes the conjugate space of \(C_{n}\), where \(\mathbb {R}^{n*}\) is a ndimensional row vector space. The conjugate inner product on \(C_{n}^{*}\times C_{n}\) is defined as
Let \(\varPhi (\theta )=(\phi _{1}(\theta ),\phi _{2}(\theta ))\), (\(1 \leq \theta \leq 0\)) and \(\varPsi (s)=\operatorname{col}(\psi _{1}(s), \psi _{2}(s))\), (\(0\leq s\leq 1\)) denote the basis of P and its conjugate space \(P^{*}\), respectively, and satisfy \((\varPsi ,\varPhi )=I_{2}\), where \((\varPsi ,\varPhi ):=(\psi _{j},\phi _{i})\), \(i,j=1,2\). Since \(Q=\{\phi \in C _{n}\mid (\varPsi ,\phi )=0\}\), we can obtain the following lemma.
Lemma 1
The basis of P and its conjugate space \(P^{\ast }\) are as follows:
where \(\phi _{1}(\theta )= \phi _{1}^{0}\in \mathbb {R}^{n}\setminus \{0 \}\), \(\phi _{2}(\theta )=\phi _{2}^{0}+\phi _{1}^{0}\theta \), \(\phi _{2} ^{0}\in \mathbb {R}^{n}\), \(\psi _{2}(s)=\psi _{2}^{0}\in \mathbb {R} ^{n*}\setminus \{0\}\), \(\psi _{1}(s)=\psi _{1}^{0}s\psi _{2}^{0}\), \(\psi _{1}^{0}\in \mathbb {R}^{n*}\), and there is \(k_{0}\in {0,1,2,\ldots }\) satisfy
In the case of one constant difference, \(\phi _{1}^{0}\) and \(\psi _{2} ^{0}\) can be uniquely determined by (i) and (iii), respectively. Then the coefficients of \(\phi _{2}^{0}\) and \(\psi _{1}^{0}\), coefficients of \(\phi _{1}^{0}\) and \(\psi _{2}^{0}\) are determined by (ii) and (iv), (v) and (vi), respectively.
Proof
By the proof of Theorem 1 in [13], we know that \(\phi _{1}(\theta )= \phi _{1}^{0}\in \mathbb {R}^{n}\setminus \{0\}\), \(\phi _{2}(\theta )=\phi _{2}^{0}+\phi _{1}^{0}\theta \), \(\phi _{2}^{0} \in \mathbb {R}^{n}\), and conditions (i), (ii) in (15) hold. Next, the conjugate operator \(\mathcal{A}_{0}^{*}: C_{n}^{*}\rightarrow C _{n}^{*}\) of \(\mathcal{A}_{0}\) is written as
where \(L_{0}^{\ast }: C_{n}^{\ast }\rightarrow \mathbb {R}^{n\ast }\) is the formally adjoint operator of \(L_{0}\); we let \(\eta _{0}^{\ast }( \theta )\) denote the adjoint of \(\eta _{0}(\theta )\), then
Notice that \(\mathcal{A}_{0}^{*}\psi _{2}=0\) is equivalent to
Equation (17) holds if and only if
There exists \(k_{0}\in {0,1,2\cdots }\) which satisfies
Notice that \(\mathcal{A}_{0}^{*}\psi _{1}=\psi _{2}\) is equivalent to
So we have \(\psi _{1}(s)=\psi _{1}^{0}s\psi _{2}^{0}\), \(\psi _{1}^{0} \in \mathbb {R}^{n\ast }\), there exists \(k_{0}\in {0,1,2,\ldots }\) which satisfies
that is,
So (iii) and (iv) in (15) hold. Finally, by the definition of \(\varPhi (\theta )\) and \(\varPsi (s)\), we have
In fact, by (i) and (ii) in (15), we know that the fourth equation in (21) hold. The first equation in (21) is equivalent to the second equation, so we can choose an appropriate coefficient for \(\phi _{1} ^{0}\), \(\psi _{2}^{0}\) so that all equations of (21) hold, thus, we have completed the proof of Lemma 1. □
It is easy to see that \(\varPhi (\theta )\) satisfy \(\dot{\varPhi }=\varPhi J\), where J=\left(\begin{array}{cc}0& 1\\ 0& 0\end{array}\right).
Now we consider the decomposition \(\tilde{C}_{n+2}=\tilde{P}\oplus \tilde{Q}\), where \(\tilde{P}=P\times \mathbb {R}^{2}\) is the invariant space of \(\tilde{\mathcal{A}}_{0}\) associated with Γ̃, \(\tilde{Q}=Q\times R\), \(R=\{v\in C_{2}\mid v(0)=0\}\). The basis of P̃ and its conjugate space \(\tilde{P^{\ast }}\) are composed of column vectors of \tilde{\Phi}=\left(\begin{array}{cc}\Phi & 0\\ 0& {I}_{2}\end{array}\right) and row vectors of \tilde{\Psi}=\left(\begin{array}{cc}\Psi & 0\\ 0& {I}_{2}\end{array}\right), and satisfies \((\tilde{\varPsi },\tilde{\varPhi })=I_{4}\), \(\dot{\tilde{\varPhi }}=\tilde{\varPhi }\tilde{J}\), where \(\tilde{J}=\operatorname{diag}(J,0_{2})\).
The central manifold of the delayed reaction–diffusion delayed differential system near the origin can be expressed as \((y(x,\alpha ),w(x,\alpha )):\mathbb {R}^{2}\times \mathbb {R}^{2}\rightarrow \tilde{Q}=Q\times W\), where \(y(x,\alpha )\) and \(w(x,\alpha )\) satisfy \(y(0,0)=w(0,0)=0\), \(Dy(0,0)=Dw(0,0)=0\), respectively. Based on the theory of [4, 16], for the fixed α, considering the normal form of (5), we can define the expanded phase space of \(C_{n}\) as follows:
\(\mathit{BC}_{n}\) is isomorphic to \(C_{n}\times \mathbb {R}^{n}\).
Similarly, considering the normal form of (9), we extend \(\tilde{C} _{n+2}\) to \(B\tilde{C}_{n+2}=\mathit{BC}_{n}\times \mathit{BC}_{2}\), and we see that \(B\tilde{C}_{n+2}\) is isomorphic to \(\tilde{C}_{n+2}\times \mathbb {R}^{n+2}\). Let \(X_{0}\) and \(Y_{0}\) denote the matrixvalued functions on \((1,0]\), where
Define
where \(\phi \in C_{n}\), \(\xi \in \mathbb {R}^{n}\). Define
where \(\phi \in C_{n}\), \(\psi \in C_{2}\), \(\xi \in \mathbb {R}^{n}\), \(\mu \in \mathbb {R}^{2}\). Since \(B\tilde{C}_{n+2} =\tilde{P}\oplus \operatorname{Ker} \tilde{\pi }\), we can decompose
where \((x(t),\alpha (t))\in \mathbb {R}^{n+2}\), \((y,w)\in \operatorname{Ker} \tilde{\pi }\), then
where \(x\in \mathbb {R}^{2}\), \(\alpha \in \mathbb {R}^{2}\), \(y\in Q^{1}:=Q \cap C_{n}^{1}\), \(w\in R^{1}:=R\cap C_{2}^{1}\). \(\tilde{\mathcal{A}} _{\tilde{Q}^{1}}\) is an operator from \(\tilde{Q}^{1}:=\tilde{Q}\cap \tilde{C}^{1}_{N+2}=Q^{1}\times R^{1}\) to Kerπ̃, which is defined by
The Taylor expansion of \(\hat{f}(V_{t},\alpha )\) with respect to \(V_{t}\) and α is
The first item (\(j=2\)) of (23) can be expressed in the form
where \(M_{i}=(M(\alpha )M)_{\alpha _{i}}\), \(N_{i}=(N(\alpha )N)_{ \alpha _{i}}\) (\(i=1,2\)), \(E_{i}\), \(F_{i}\), \(G_{i}\) (\(i=1,2,\ldots,n\)) is the coefficient matrices, and there are no terms of \(o(\alpha ^{2})\) in \(\hat{f}_{2}(V_{t},\alpha )=0\) since \(\forall \alpha \in \mathbb {R}^{2}\), \(\hat{f}(0,\alpha )=0\). Define
Note that \(V(0)=0\), On \(\mathit{BC}_{n}=P\oplus \ker \pi \), (21) can be reduced to the following equation:
where \(A_{Q^{1}}:Q^{1}\subset \ker \pi \rightarrow \ker \pi \) is defined by \(A_{Q^{1}}\phi =\dot{\phi }+X_{0}[L_{0}\phi \dot{\phi }(0)]\). \(V_{2}^{4}(\mathbb {R}^{2})\) is a linear space formed by quadratic homogeneous polynomial with respect to \((x,\alpha )=(x_{1},x_{2}, \alpha _{1},\alpha _{2})\), that is,
Define the operator \(M_{2}^{1}\) on \(V_{2}^{4}(\mathbb {R}^{2})\)
We can decompose \(V_{2}^{4}(\mathbb {R}^{2})\) into \(\operatorname{Im}(M_{2}^{1}) \oplus \operatorname{Im}(M_{2}^{1})^{c}\) and use \(P_{I,2}^{1} \) to represent projection mapping from \(V_{2}^{4}(\mathbb {R}^{2})\) to \(\operatorname{Im}(M_{2}^{1})\).
According to the hypothesis (H2), we can prove that, for any \(\mu \in \sigma (\tilde{\mathcal{A}_{0}})\backslash \tilde{\varGamma }\) and \(q\in \mathbb {N}_{0}^{4}\), \((q,\tilde{\lambda })\neq \mu \) hold, where \(\tilde{\lambda }=(0,0,0,0)\) is a vector consisting of elements in Γ̃ (calculated multiplicity). That is to say, (11) satisfies the nonresonant condition with respect to Γ̃. From (24), we know that the normal form of (11) on the central manifold can be written as
where \(g_{2}^{1}(x,0,\alpha )=(IP_{I,2}^{1})f_{2}^{1}(x,0,\alpha )=\operatorname{proj} _{\operatorname{Im}(M_{2}^{1})^{c}}f_{2}^{1}(x,0,\alpha )\). Now we can select one basis of \(V_{2}^{4}(\mathbb {R}^{2})\) as follows:
Their images under \(M_{2}^{\prime }\) are
So we can select one basis of \(\operatorname{Im}(M_{2}^{1})^{c}\) as follows:
Using \(\phi _{ji}\) to represent the ith element of \(\phi _{j}\), we obtain
Since \(\phi _{1}(0)=\phi _{1}(1)=\phi _{1}^{0}\), \(\phi _{2}(0)=\phi _{2}^{0}\), \(\phi _{2}(1)=\phi _{2}^{0}\phi _{1}^{0}\), \(\psi _{1}(0)=\psi _{1}^{0}\), \(\psi _{2}(0)=\psi _{2}^{0}\), \(f_{2}^{1}(x,0,\alpha )=\varPsi (0)\hat{f_{2}}( \varPhi x,\alpha )\), \(g_{2}^{1}=(IP_{I,2}^{1})f_{2}^{1}\) can be calculated from the above formulas and the basis of \(\operatorname{Im}(M_{2}^{1})^{c}\), so that we can get the following theorem.
Theorem 1
Suppose that (H1)–(H3) hold, then the delayed reaction–diffusion differential system (1) can be reduced to the following twodimensional ordinary differential system on the central manifold at \((V_{t},\alpha )=(0,0)\):
where
By comparing with [13], we find that the delayed reaction–diffusion differential system and the delayed differential system have the same normal form of B–T bifurcation, except at \(\varPhi (\theta )\) and \(\varPsi (s)\). For the reduced system (26), its local bifurcation behavior is determined by linear and secondorder terms, rather than by higher order terms [17]. In (26), we ignore the terms higher than the secondorder terms, and let \(\mu _{1}=\frac{\eta _{2}^{4}}{4\eta _{1} ^{4}}\rho _{1}^{2}\), \(\mu _{2}= \vert \frac{\eta _{2}}{\eta _{1}} \vert (\rho _{2}\frac{ \eta _{2}}{2\eta _{1}}\rho _{1})\), \(\varepsilon =\pm 1\), then (26) becomes
The bifurcation diagram of system (26) can be found in many thesis, such as [17,18,19]. Here, we give a brief list of the results for sufficiently small \(\mu _{1}\), \(\mu _{2}\) and \(\varepsilon =1\).
Theorem 2
The phase diagram of the system (27) is shown in Fig. 1. On the parameter plane \((\mu _{1},\mu _{2})\), we have the following boundary lines:
These boundaries divide the plane into several regions. When \((\mu _{1},\mu _{2})\) is inside these regions, the phase diagram of the system (27) remains unchanged under small perturbations, and the system structure is stable. When \((\mu _{1},\mu _{2})\) is on the boundaries, the system structure is unstable. Boundary \(\mathit{SN}^{+}\) or \(\mathit{SN}^{}\) corresponds to the saddle bifurcations in equilibrium, boundary H corresponds to the Hopf bifurcations, and boundary HL corresponds to homoclinic orbits bifurcations.
4 Two examples
Example 1
Consider the following twodimensional delayed reaction–diffusion differential system:
where D=\left(\begin{array}{cc}1& 0\\ 0& 1\end{array}\right), M=\left(\begin{array}{cc}3& 1\\ 0& 2\end{array}\right), N=\left(\begin{array}{cc}1& 1\\ 0& 1\end{array}\right).
First, in order to verify the condition (H2), we will show that the characteristic equation of system (28) has no pure imaginary roots, that is
has no pure imaginary roots. Note that \(\det (\lambda I_{2}MNe^{ \lambda })=0\Leftrightarrow \lambda +k^{2}3e^{\lambda }=0\), or \(\lambda +k^{2}2e^{\lambda }=0\). Assuming that iω is a pure imaginary root of the above equation, then
textitor
must hold. Clearly, for \(\forall k\in \{0,1,2,\ldots\}\) and \(\forall \omega \neq 0\), these two formulas are not tenable, thus (H2) is satisfied.
Now we will verify conditions (i)–(iii) of Theorem 1 in [13].

(1)
For \(k_{0}=1\), (D{k}_{0}^{2}+M+N)=\left(\begin{array}{cc}3& 2\\ 0& 0\end{array}\right), that is, \(\operatorname{rank}(Dk_{0}^{2}+M+N)=1\), condition (i) holds.

(2)
Let {\varphi}_{1}^{0}=\left(\begin{array}{c}\frac{1}{3}\\ \frac{1}{2}\end{array}\right), then \(\mathcal{N}(Dk_{0}^{2}+M+N)=\operatorname{span}\{\phi _{1}^{0}\}\). Let {\varphi}_{2}^{0}=\left(\begin{array}{c}\frac{1}{18}\\ 0\end{array}\right), then (N+I){\varphi}_{1}^{0}=\left(\begin{array}{cc}2& 1\\ 0& 0\end{array}\right)\left(\begin{array}{c}\frac{1}{3}\\ \frac{1}{2}\end{array}\right)=\left(\begin{array}{c}\frac{1}{6}\\ 0\end{array}\right), (D{k}_{0}^{2}+A+B){\varphi}_{2}^{0}=\left(\begin{array}{cc}3& 2\\ 0& 0\end{array}\right)\left(\begin{array}{c}\frac{1}{18}\\ 0\end{array}\right)=\left(\begin{array}{c}\frac{1}{6}\\ 0\end{array}\right), that is, \((N+I)\phi _{1}^{0}\in \mathcal{R}(Dk_{0}^{2}+M+N)\), condition (ii) holds.

(3)
Since (N+I){\varphi}_{2}^{0}\frac{1}{2}N{\varphi}_{1}^{0}=\left(\begin{array}{c}\frac{7}{36}\\ \frac{1}{4}\end{array}\right), rank((D{k}_{0}^{2}+M+N,N+I){\varphi}_{2}^{0}\frac{1}{2}N{\varphi}_{1}^{0})=rank\left(\begin{array}{ccc}3& 2& \frac{7}{36}\\ 0& 0& \frac{1}{4}\end{array}\right)=2, we have \((N+I)\phi _{2}^{0}\frac{1}{2}N\phi _{1}^{0} \notin \mathcal{R}(Dk_{0}^{2}+M+N)\), condition (iii) holds.
Then we conclude that the delayed reaction–diffusion differential system (28) has a B–T singularity for the linear part and all the nonlinear parts (satisfying (H1)).
Example 2
Consider the following twodimensional delayed reaction–diffusion differential system:
where D=\left(\begin{array}{cc}1& 0\\ 0& 1\end{array}\right), M=\left(\begin{array}{cc}3& 1\\ {\alpha}_{1}& 2+{\alpha}_{2}\end{array}\right), N=\left(\begin{array}{cc}1+{\alpha}_{1}& 1\\ 0& 1+{\alpha}_{2}\end{array}\right), \(f(u(x,t),u(x,t1),\alpha )=[u_{1}^{2}(x,t), 4u_{2}^{2}(x,t1)]^{T}\).
From the discussion of Example 1, we know that system (28) has a B–T singularity at \((V,\alpha )=(0,0)\). Let
its expansion form is
where {M}_{1}=\left(\begin{array}{cc}0& 0\\ 1& 0\end{array}\right), {M}_{1}={N}_{2}\left(\begin{array}{cc}0& 0\\ 0& 1\end{array}\right), {N}_{1}=\left(\begin{array}{cc}1& 0\\ 0& 0\end{array}\right), {F}_{1}=\left(\begin{array}{cc}1& 0\\ 0& 0\end{array}\right), {G}_{2}=\left(\begin{array}{cc}0& 0\\ 0& 4\end{array}\right).
According to Lemma 1, we choose the basis functions \(\varPhi (\theta )\) and \(\varPsi (s)\), where
By Theorem 1, the system (30) can be reduced to
Then (31) becomes
5 Conclusions
In this paper, we have made an attempt to expand our computation to obtain a simpler and detailed reduction and normal form of system (1). By using the central manifold reduction method and normal form theory, we tried to reduce the dimension of the phase space without changing the dynamic behavior of the system, and succeeded in obtaining a simpler and more specific parameterized delayed ordinary differential system on its center manifold. We showed that system (1) can be reduced to a simple ordinary differential system with dimension two on its center manifold. Although we have theoretically proved that the system (1) can undergo a B–T bifurcation, unfortunately, due to the limited ability of our computer, it is difficult to display the simulation. For future work, we will firstly improve the ability of our computer and try to display the simulation. Secondly we will not only introduce delays in this model, but also we will study its impact on the analysis of dynamic stability, that is, we will consider executing some control by changing the value of the time delays determined by the system parameters to keep the ecological balance.
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Longyue Li, Air and Missile Defense College, Air Force Engineering University, No. 1, Changle East Road, Baqiao District, Xi’an, Shaanxi, China; lilong_yue@hotmail.com. Jianzhi Cao, College of Mathematics and Information Science, Hebei University, Baoding, 071002, China; cjz2004987@163.com. Yingying Mei, School of Mathematical Sciences, Beijing Normal University, Beijing, 100875, China; Mathematics Group, Xi’an Tieyi High School, Xi’an, 710038, China; 564348492@qq.com.
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This work was supported by the National Natural Science Foundation of China (No: 71701209, 11771115), Natural Science Foundation of Shaanxi Province of China (No: 2019JQ250).
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LL developed the idea for the study and wrote the paper; JC and YM did the analyses; all authors discussed the results and revised the paper.
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Li, L., Cao, J. & Mei, Y. Reduction and normal forms for a delayed reaction–diffusion differential system with B–T singularity. Adv Differ Equ 2019, 204 (2019). https://doi.org/10.1186/s1366201921340
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DOI: https://doi.org/10.1186/s1366201921340