Open Access

Existence and asymptotic behavior results of positive periodic solutions for discrete-time logistic model

Advances in Difference Equations20152015:181

https://doi.org/10.1186/s13662-015-0527-2

Received: 2 February 2015

Accepted: 3 June 2015

Published: 17 June 2015

Abstract

A discrete-time logistic model with delay is studied. The existence of a positive periodic solution for a discrete-time logistic model is obtained by a continuation theorem of coincidence degree theory, and a sufficient condition is given to guarantee the global exponential stability of a periodic solution. Finally, an example is given to show the effectiveness of the results in this paper.

Keywords

discretedelayperiodic solutionstability

1 Introduction

Examples of the discrete phenomena in nature abound and somehow the continuous version have commandeered all our attention - perhaps owing to that special mechanism in human nature that permits us to notice only what we have been conditioned to. The theory of difference equations has grown at an accelerated rate in the past decades; see [13].

In this paper, we discuss the existence and exponential stability of positive periodic solution for the following logistic model:
$$ \left \{ \textstyle\begin{array}{l} x(n+1)=\frac{\alpha(n)x(n)}{1+\beta(n)x(n-\tau)},\quad n\in Z, \\ x(n)=\phi(n)>0,\quad n\in[-\tau,0]_{Z}, \end{array}\displaystyle \right . $$
(1.1)
where \(\alpha(n)>1\), \(\beta(n)>0\) are N-periodic sequences, τ is a positive integer,
$$[a,b]_{Z}=\{a,a+1,\ldots,b-1,b\} \quad \text{for } a,b\in Z \text{ and } a\leq b. $$
There have been many papers concerned with the properties of solution of difference equations. In [4], Zhang et al. studied the existence of periodic solutions of the equation without delay
$$x(n+1)=\mu x(n)\bigl[1-x(n)/k\bigr]+b(n),\quad n\in Z, $$
under the assumptions that \(\mu\in(1,2)\), \(|b(n)|<\frac{(\mu-1)^{2}}{4\mu}k\) hold for all \(n\in Z\). Parhi [5] considered the delay difference equation
$$ y(n+1)-y(n)+q_{n}G\bigl(y(n-k)\bigr)=b(n),\quad n\in Z, $$
(1.2)
and obtained the oscillatory and asymptotic behavior of solutions of (1.2). Liu and Ge [6] considered the difference equation
$$ y(n+1)-y(n)=p_{n}f\bigl(y(n-k)\bigr)+r(n),\quad n\in Z, $$
(1.3)
where \(p(n)\) is nonnegative, \(r(n)\) is a real numbers sequence. Suppose \(\lim_{x\rightarrow0}\frac{f(x)}{x}=-b<0\) and \(xf(x)<0\), \(|f(x)|\leq\gamma|x|\) for all \(x\neq0\), the authors proved that if
$$\mu=\gamma\sum_{s=n-k}^{s}p_{s}< 1.5+ \frac{1}{2(k+1)},\qquad \sum_{s=1}^{+\infty}p_{s}=+ \infty,\qquad \lim_{n\rightarrow+\infty}\frac{r_{n}}{p_{n}}=0, $$
then every solution of (1.3) tends to zero as n tends to infinity. Li et al. [7] used the upper and lower solutions method to show that there exists a \(\lambda^{*}>0\) such that the nonlinear functional difference equation
$$x(n+1)=a(n)x(n)+\lambda(n)x(n)+\lambda h(n)f\bigl(x\bigl(n-\tau(n)\bigr)\bigr), \quad n\in Z, $$
has at least one positive T-periodic solutions for \(\lambda\in(0,\lambda^{*})\) and does not have any positive T-periodic solutions for \(\lambda>\lambda^{*}\), where \(a(n)\), \(h(n)\), and \(\tau(n)\) are T-periodic solutions. Jiang et al.[8] presented the optimal existence theory for single and multiple positive periodic solutions to a class of functional difference equations based upon the fixed point theorem in cones.

For a complicated dynamical system, we note that discrete-time neural networks have been studied by many authors; see e.g. Hu and Wang [9], Wang and Xu [10], Xiong and Cao [11], Yuan et al. [12], Zhao and Wang [13] and Zou and Zhou [14] for DNNs without time delays and Chen et al. [15], Liang et al. [16], Liang et al. [17] and Xiang et al. [18] for DNNs with discrete time delays. For more related results, see [1928].

So far, to the best of the authors knowledge, there are few results for the existence and stability of positive periodic solutions to (1.1). The major challenges are as follows: (1) In order to obtain existence of positive periodic solutions, we must change (1.1) to the proper form by a variable transformation. How can we choose the above variable transformation, which is the key to the study of (1.1)? (2) Since it is very difficult to construct a Lypunov functional to (1.1), how can we choose a proper special function for obtaining the stability results, which is significant to our proof? (3) It is non-trivial to establish a unified framework.

It is, therefore, the main purpose of this paper to make the first attempt to handle the listed challenges.

Remark 1.1

Equation (1.1) was proposed by Pielou [29] in 1974, which is a discrete analog of the delay logistic equation
$$x'(t)=r(t)x(t) \biggl(1-\frac{x(t-\tau)}{p} \biggr). $$
A classic logistic model has received great attention from theoretical and mathematical biologists and has been well studied; see e.g. [2932].

The following sections are organized as follows: In Section 2, the existence of positive periodic solution to (1.1) is obtained. In Section 3, sufficient conditions are established for the global exponential stability of (1.1). In Section 4, an example is given to show the feasibility of our results.

2 Existence of positive periodic solution

Let X and Y be real Banach spaces and let \(L:D(L)\subset X\rightarrow Y\) be a Fredholm operator with index zero, here \(D(L)\) denotes the domain of L. This means that ImL is closed in Y and \(\operatorname{dim}\operatorname{Ker}L=\operatorname{codim}\operatorname{Im}L<+\infty\). If L is a Fredholm operator with index zero, then there exist continuous projectors \(P:X\rightarrow X\), \(Q:Y\rightarrow Y\) such that \(\operatorname{Im}P=\operatorname{Ker}L\), \(\operatorname{Im}L=\operatorname{Ker}Q=\operatorname{Im}(I-Q)\). It follows that \(L_{D(L)\cap \operatorname{Ker}P}:(I-P)X\rightarrow \operatorname{Im}L\) is invertible. Denote by \(K_{p}\) the inverse of \(L_{P}\).

Let Ω be an open bounded subset of X, a map \(N :\bar{\Omega}\rightarrow Y\) is said to be L-compact in \(\bar{\Omega}\) if \(QN(\bar{\Omega})\) is bounded and the operator \(K_{p}(I-Q)N(\bar{\Omega})\) is relatively compact. Because ImQ is isomorphic to KerL, there exists an isomorphism \(J:\operatorname{Im}Q\rightarrow \operatorname{Ker}L\). We first recall the famous Mawhin continuation theorem.

Lemma 2.1

[33]

Suppose that X and Y are two Banach spaces, and \(L:D(L)\subset X\rightarrow Y\), is a Fredholm operator with index zero. Furthermore, \(\Omega\subset X\) is an open bounded set and \(N:\bar{\Omega}\rightarrow Y\) is L-compact on \(\bar{\Omega}\). If all the following conditions hold:
  1. (1)

    \(Lx\neq\lambda Nx\), \(\forall x\in\partial\Omega\cap D(L)\), \(\forall\lambda\in(0,1)\),

     
  2. (2)

    \(Nx\notin \operatorname{Im}L\), \(\forall x\in\partial\Omega\cap \operatorname{Ker}L\),

     
  3. (3)

    \(\operatorname{deg}\{JQN,\Omega\cap \operatorname{Ker}L,0\}\neq0\),

     
where \(J:\operatorname{Im}Q\rightarrow \operatorname{Ker}L\) is an isomorphism, then the equation \(Lx=Nx\) has a solution on \(\bar{\Omega}\cap D(L)\).

Lemma 2.2

[34]

Let \(g:Z\rightarrow R\) be ω-periodic. Then for any fixed \(k_{1},k_{2}\in I_{\omega}\), and any \(k\in Z\), one has
$$g(k)\leq g(k_{1})+\sum_{s=0}^{\omega-1} \bigl\vert g(s+1)-g(s)\bigr\vert $$
and
$$g(k)\geq g(k_{2})-\sum_{s=0}^{\omega-1} \bigl\vert g(s+1)-g(s)\bigr\vert . $$

Now, we state the main results and give its proof.

Theorem 2.1

Suppose that assumptions (H1) and (H2) hold:
(H1): 
there exists a constant \(C>0\) such that if \(x(n)\) is a N-periodic sequences and satisfies
$$\sum_{n=0}^{N-1} \bigl[-\ln\bigl(1+ \beta(n)e^{y(n-\tau)}\bigr)+\ln\alpha(n) \bigr]=0, $$
then we have
$$\sum_{n=0}^{N-1}\bigl\vert \ln\bigl(1+ \beta(n)e^{y(n-\tau)}\bigr)+\ln\alpha(n)\bigr\vert \leq C; $$
(H2): 
there exists a constant \(D>0\) such that when \(y>D\),
$$\ln\bigl(1+\beta(n)e^{y(n)}\bigr)>\ln\alpha(n) $$
and
$$\ln\bigl(1+\beta(n)e^{-y(n)}\bigr)< \ln\alpha(n) $$
uniformly hold for \(n\in Z\).
Then (1.1) has at least one positive N-periodic solution.

Proof

In order to obtain the positive periodic solution of (1.1), let \(x(n)=e^{y(n)}\), then from (1.1) we have
$$ y(n+1)-y(n)=-\ln\bigl(1+\beta(n)e^{y(n-\tau)}\bigr)+\ln\alpha(n),\quad n\in Z, $$
(2.1)
with the initial condition
$$y(n)=\ln\phi(n):=\psi(n),\quad n\in[-\tau,0]_{Z}, $$
where \(\alpha(n)>1\), \(\beta(n)>0\) are N-periodic sequences, τ is a positive integer. Define
$$l=\bigl\{ x=\bigl\{ x(n)\bigr\} , x(n)\in R, n\in Z\bigr\} . $$
Let \(l_{N}\subset l\) denote the subspace of all N-periodic sequences equipped with the norm
$$\|x\|=\max_{n\in I_{N}}\bigl\vert x(n)\bigr\vert \quad \text{for any } x\in l_{N}, $$
where \(I_{N}=\{0,1,2,\ldots,N-1\}\). Then \(l_{N}\) is a Banach space. Let
$$l_{N}^{0}=\Biggl\{ y(n)\in l_{N}:\sum _{n=0}^{N-1}y(n)=0\Biggr\} ,\qquad l_{N}^{c}= \bigl\{ y(n)\in l_{N}:y(n)=\mathrm{constant}, n\in Z\bigr\} . $$
Then \(l_{N}^{0}\) and \(l_{N}^{c}\) are both closed linear subspaces of \(l_{N}\), and \(l_{N}=l_{N}^{0}\oplus l_{N}^{c}\), \(\operatorname{dim}l_{N}^{c}=1\). Take \(X=Y=l_{N}\). Now, for \(y\in X\), \(n\in Z\), we define a linear operator
$$(Ly) (n)=y(n+1)-y(n), $$
and a nonlinear operator
$$(Ny) (n)=-\ln\bigl(1+\beta(n)e^{y(n-\tau)}\bigr)+\ln\alpha(n). $$
Then L is a bounded linear operator with \(\operatorname{Ker}L=l_{N}^{c}\) and \(\operatorname{Im}L=l_{N}^{0}\). So it follows that L is a Fredholm mapping of index zero. Define the continuous projectors P, Q,
$$P:X\rightarrow\operatorname{Ker}L,\qquad (Px) (n)=\frac{1}{N}\sum _{n=0}^{N-1}x(n) $$
and
$$Q:Y\rightarrow Y/\operatorname{Im}L, \qquad Qy=\frac{1}{N}\sum _{n=0}^{N-1}y(n). $$
Let
$$L_{P}=L|_{D(L)\cap\operatorname{Ker}P}:D(L)\cap\operatorname{Ker}P\rightarrow \operatorname{Im}L, $$
then
$$L_{P}^{-1}=K_{p}:\operatorname{Im}L\rightarrow D(L)\cap\operatorname{Ker}P. $$
Since \(\operatorname{Im}L\subset Y\) and \(D(L)\cap\operatorname{Ker}P\subset X\), \(K_{p}\) is an embedding operator. Hence \(K_{p}\) is a completely operator in ImL. By the definitions of Q and N, one knows that \(QN(\bar{\Omega})\) is bounded on \(\bar{\Omega}\). Hence the nonlinear operator N is L-compact on \(\bar{\Omega}\). We complete the proof in three steps.
Step 1. Let \(\Omega_{1}=\{y\in D(L)\subset X:Ly=\lambda Ny, \lambda\in(0,1)\}\). We show that \(\Omega_{1}\) is a bounded set. If \(\forall y\in\Omega_{1}\), then \(Ly=\lambda Ny\), i.e.,
$$ y(n+1)-y(n)=\lambda \bigl[-\ln\bigl(1+\beta(n)e^{y(n-\tau)}\bigr)+\ln \alpha(n) \bigr], $$
(2.2)
\(\forall x\in\Omega_{1}\), summing on both sides of (2.2) from 0 to \(N-1\) with respect to n, we have
$$ \sum_{n=0}^{N-1} \bigl[-\ln\bigl(1+ \beta(n)e^{y(n-\tau)}\bigr)+\ln\alpha(n) \bigr]=0. $$
(2.3)
Thus, from (2.3) and condition (H1) we obtain
$$\sum_{n=0}^{N-1}\bigl\vert y(n+1)-y(n)\bigr\vert \leq\sum_{n=0}^{N-1} \bigl\vert -\ln \bigl(1+\beta(n)e^{y(n-\tau)}\bigr)+\ln\alpha(n)\bigr\vert \leq C. $$
We claim that there exist a point \(k\in Z\) and a constant \(M_{1}>0\) such that
$$ y(k-\tau)< M_{1}. $$
(2.4)
Otherwise, for any \(M_{1}>0\) and each \(n\in I_{N}\), one has
$$y(n-\tau)\geq M_{1}. $$
In view of assumption (H2), we see that this contradicts (2.3). Hence (2.4) holds. Denote
$$k-\tau=\xi_{1}+pN,\quad \xi_{1}\in I_{N}, p\in Z. $$
Then
$$ y(\xi_{1})< M_{1}. $$
(2.5)
In a similar way, from (2.3) and assumption (H2), there exist a point \(\xi_{2}\in I_{N}\) and a constant \(M_{2}>0\) such that
$$ y(\xi_{2})>-M_{2}. $$
(2.6)
Therefore, it follows from Lemma 2.2, (2.1), (2.5), and (2.6) that
$$y(n)\leq y(\xi_{1})+\sum_{n=0}^{N-1} \bigl\vert y(n+1)-y(n)\bigr\vert < M_{1}+C $$
and
$$y(n)\geq y(\xi_{2})-\sum_{n=0}^{N-1} \bigl\vert y(n+1)-y(n)\bigr\vert >-M_{2}-C. $$
Thus
$$\|y\|< \max\{M_{1}+C,M_{2}+C\}:=M. $$
Step 2. We will show that condition (2) in Lemma 2.1 satisfies. Let
$$\Omega=\Bigl\{ y\in X\big| \max_{n\in I_{N}}\Vert y\Vert < A\Bigr\} , $$
where \(A=\max\{M,D\}\). Obviously, condition (1) in Lemma 2.1 satisfies. When \(\forall y\in\partial\Omega\cap \operatorname{Ker}L\), y is a constant with \(\|y\|= A\). Then we claim \(QNy\neq0\). In fact, if \(QNy=0\), then
$$\sum_{n=0}^{N-1} \bigl[-\ln\bigl(1+ \beta(n)e^{y(n-\tau)}\bigr)+\ln\alpha(n) \bigr]=0, $$
which contradicts assumption (H2) when \(\|y\|= A\).
Step 3. We will show that condition (3) in Lemma 2.1 holds. Take the homotopy
$$H(y,\mu)=\mu y+(1-\mu)QNy,\quad y\in\bar{\Omega}\cap \operatorname{Ker}L, \mu \in[0,1]. $$
We claim \(H(y,\mu)\neq0\) for all \(y\in\partial\Omega\cap \operatorname{Ker}L\). If this is not true, then
$$-\mu y=\frac{1-\mu}{N}\sum_{n=0}^{N-1} \bigl[\ln\bigl(1+\beta(n)e^{y(n-\tau)}\bigr)+\ln \alpha(n) \bigr]. $$
Since \(y\in\partial\Omega\cap \operatorname{Ker}L\), \(\mu\in[0,1]\), \(yH(y,\mu)>0\), one has \(H(y,\mu)\neq0\). By the degree theory,
$$\begin{aligned} \operatorname{deg}\{QN,\Omega\cap \operatorname{Ker}L,0\}&=\operatorname{deg} \bigl\{ H(\cdot,0),\Omega\cap \operatorname{Ker}L,0\bigr\} \\ &=\operatorname{deg}\bigl\{ H(\cdot,1),\Omega\cap \operatorname{Ker}L,0\bigr\} \\ &=\operatorname{deg}\{I,\Omega\cap \operatorname{Ker}L,0\}\neq0. \end{aligned}$$

From Lemma 2.1, we know that \(Lx(n)=Nx(n)\) has at least one periodic solution in \(\bar{\Omega}\). That is, (1.1) has at least one positive N-periodic solution. The proof is completed. □

Corollary 2.1

Let \(\mathcal {F}(n,y)=-\ln(1+\beta(n)e^{y(n-\tau)})+\ln\alpha(n)\), \(n\in Z\), \(y\in R\). There exist constants \(D_{1}\) and \(D_{2}\) such that
  1. (i)

    \(y\mathcal{F}(n,y)>0\) for \(|y|>D_{1}\), \(n\in I_{N}\),

     
  2. (ii)
    one of the following two conditions holds:
    1. (a)

      \(y\mathcal{F}(n,y)\leq D_{2}\) for \(y\geq D_{1}\), \(n\in I_{N}\),

       
    2. (b)

      \(y\mathcal{F}(n,y)\geq D_{2}\) for \(y\leq-D_{1}\), \(n\in I_{N}\).

       
     
Then (2.2) has at least one periodic solution.

Remark 2.1

The initial condition \(x(n)=\phi(n)>0\), \(n\in[-\tau,0]_{Z}\), of (1.1) assures that the initial condition \(y(n)=\ln x(n,)\), \(n\in[-\tau,0]_{Z}\), of (2.1) is meaningful.

Remark 2.2

In [35], Li and Huo studied a class of abstract delay difference equation and obtained the existence of positive periodic solutions. In the present paper, based on the work of [35], we investigate a concrete model and obtain the population dynamics of the model.

3 Global exponential stability of periodic solution

In this section, we establish some results for exponential stability of the N-periodic solution of (1.1).

Definition 3.1

The periodic solution of (2.1), \(y^{*}(n)\) is globally exponentially stable if there exist constants \(\mu>1\) and \(L>0\) such that
$$\bigl\vert y(n)-y^{*}(n)\bigr\vert \leq L\bigl\Vert \psi-\psi^{*}\bigr\Vert \mu^{-n}, \quad n\in Z^{+}, $$
where \(y(n)\) is a solution of (1.1) with the initial value condition \(y(n)=\psi(n)\), \(\psi^{*}\) is the initial value of \(y^{*}(n)\), and
$$\bigl\Vert \psi-\psi^{*}\bigr\Vert =\max_{n\in[-\tau,0]_{Z}}\bigl\vert \psi(n)-\psi^{*}(n)\bigr\vert . $$

Theorem 3.1

Under the conditions of Theorem  2.1, assume further that:
  1. (i)
    $$\alpha^{+}+\lambda_{0}^{\tau+1}L\beta^{+}< 1, $$
    where \(\alpha^{+}=\max\{\alpha(n),n\in Z\}\), \(\beta^{+}=\max\{\beta(n),n\in Z\}\), \(\lambda_{0}>1\) with
    $$\lambda_{0}\bigl(\alpha^{+}+\lambda_{0}^{\tau+1}L\beta^{+} \bigr)< 1. $$
     
  2. (ii)

    If \(f(x,y)=xy\), \(x,y\in R\), then \(|f(x,y)-f(x^{*},y*)|\leq L|y-y^{*}|\), where L is a positive constant.

     
Then system (1.1) has a N-periodic solution \(x^{*}(n)\), and there exists \(\lambda_{0}>1\) such that
$$\bigl\vert x(n)-x^{*}(n)\bigr\vert \leq\lambda_{0}^{-n} \max_{s\in[-\tau,0]_{Z}}\bigl\vert \psi(s)-\psi^{*}(s)\bigr\vert . $$

Proof

By (1.1), we have
$$ x(n+1)-x^{*}(n+1)=\alpha(n)\bigl[x(n)-x^{*}(n)\bigr]+\beta(n) \bigl[x^{*}(n+1)x^{*}(n- \tau)-x(n+1)x(n-\tau)\bigr]. $$
(3.1)
For \(\lambda\in R\), define the function
$$F(\lambda)=1-\lambda+\lambda\bigl[1-\alpha^{+}-\lambda_{0}^{\tau+1}L \beta^{+}\bigr]. $$
From condition (i), we have \(F(1)>0\). So, there exists some constant \(\lambda_{0}>1\) such that \(F(\lambda_{0})>0\). Then by (3.1), we have
$$ \bigl\vert x(n+1)-x^{*}(n+1)\bigr\vert \leq\alpha^{+}\bigl\vert x(n)-x^{*}(n) \bigr\vert +\beta^{+} \bigl\vert x^{*}(n+1)x^{*}(n-\tau)-x(n+1)x(n-\tau)\bigr\vert . $$
(3.2)
Define \(u(n)=\lambda_{0}^{n}|x(n)-x^{*}(n)|\), \(n\in[-\tau,+\infty)_{Z}\), then by (3.2) and condition (ii), we have
$$ u(n+1)\leq\lambda_{0}\alpha^{+}u(n)+\lambda_{0}^{\tau+1}L \beta^{+}u(n-\tau ). $$
(3.3)
Assume that \(K=\max_{s\in[-\tau,0]_{Z}}|\psi(s)-\psi^{*}(s)|\). Then we claim that
$$u(n)\leq K,\quad n\in Z^{+}. $$
Otherwise, there exists \(n_{0}\in Z^{+}\) such that
$$u(n)\leq K, \quad n\in[-\tau,n_{0}-1]_{Z},\qquad u(n_{0})>K. $$
By (3.3) and condition (i) we have
$$\begin{aligned} K < &u(n_{0})\leq\lambda_{0}\alpha^{+}u(n_{0}-1)+ \lambda_{0}^{\tau+1}L\beta ^{+}u(n_{0}-1-\tau) \\ \leq&\lambda_{0}\alpha^{+}K+\lambda_{0}^{\tau+1}L \beta^{+}K \\ =&\lambda_{0}\bigl(\alpha^{+}+\lambda_{0}^{\tau+1}L \beta^{+}\bigr)K< K, \end{aligned}$$
which is a contradiction. So \(u(n)\leq K\), \(n\in Z^{+}\). Therefore,
$$\bigl\vert x(n)-x^{*}(n)\bigr\vert \leq\lambda_{0}^{-n} \max_{s\in[-\tau,0]_{Z}}\bigl\vert \psi(s)-\psi^{*}(s)\bigr\vert . $$
The proof is completed. □

Remark 3.1

Because (3.2) contains the nonlinear term \(x^{*}(n+1)x^{*}(n-\tau)-x(n+1)x(n-\tau)\), which results in great difficulty in obtaining exponential stability, we add condition (ii).

Remark 3.2

In general, the Lyapunov functional method is crucial for studying stability problems. In the present paper, due to the stronger non-linearity of (1.1), the Lyapunov functional method is not valid. We overcome these difficulties by constructing a novel functional, which is different for the corresponding ones of past work.

4 Numerical simulations

This section presents an example to demonstrate the validity of our theoretical results:
$$ x(n+1)=\frac{\frac{5-\cos n\pi}{3} x(n)}{1+0.2x(n-\tau)},\quad n\in Z, $$
(4.1)
where \(\alpha(n)=\frac{5-\cos n\pi}{3}>1\), \(\beta(n)=0.2\). We can choose a proper parameter τ and L such that all conditions of Theorem 3.1 hold. So there exists a periodic solution for (4.1) which is globally exponentially stable. The corresponding numerical simulations are presented in Figure 1 with different initial conditions.
Figure 1

Evolution of the \(\pmb{x(k)}\) of ( 4.1 ) with k from 50 to 100.

In this paper, we discussed the existence and stability of positive periodic solutions for (1.1). First, the sufficient conditions that ensure the existence of a positive periodic solution were obtained by using the continuation theorem and some inequality techniques. Then a non-Lyapunov method was used to establish the criteria for the global exponential stability of the periodic solution. Finally, a numerical example was presented to demonstrate the effectiveness of our theoretical results. The proposed criteria in this paper are easy to verify. The proposed analysis method is also easy to extend to the case of other differential equations.

Declarations

Acknowledgements

This paper is supported by the Postdoctoral Foundation of Jiangsu (1402113C) and the Postdoctoral Foundation of China (2014M561716).

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Authors’ Affiliations

(1)
Department of Mathematics, Huaiyin Normal University, Huaian, China
(2)
Department of Mathematics, Yangzhou University, Yangzhou, China

References

  1. Agarwal, RP, O’Regan, D, Wong, PJY: Positive Solutions of Differential, Difference and Integral Equations. Kluwer Academic, Dordrecht (1999) MATHView ArticleGoogle Scholar
  2. Agarwal, RP: Difference Equations and Inequalities: Theory, Methods, and Applications, 2nd edn. Monographs and Textbooks in Pure and Applied Mathematics, vol. 228. Dekker, New York (2000) Google Scholar
  3. Agarwal, RP, O’Regan, D: Infinite Interval Problems for Differential, Difference and Integral Equations. Kluwer Academic, Dordrecht (2001) MATHView ArticleGoogle Scholar
  4. Zhang, R, Wang, Z, Chen, Y: Periodic solutions of a single species discrete population model with periodic harvest/stock. Comput. Math. Appl. 39, 77-90 (2000) MATHMathSciNetView ArticleGoogle Scholar
  5. Parhi, N: Behavior of solutions of delay differential equations of first order. Indian J. Pure Appl. Math. 33, 31-34 (2002) MATHMathSciNetGoogle Scholar
  6. Liu, Y: Ge, W, Global asymptotic behavior of a forced difference equation. Comput. Math. Appl. 47, 1177-1193 (2004) MATHMathSciNetView ArticleGoogle Scholar
  7. Li, Y, Zhu, L, Liu, P: Positive periodic solutions of nonlinear functional difference equations depending on a parameter. Comput. Math. Appl. 48, 1453-1459 (2004) MATHMathSciNetView ArticleGoogle Scholar
  8. Jiang, D, O’Regan, D, Agarwal, RP: Optimal existence theory for single and multiple positive periodic solutions to functional difference equations. Appl. Math. Lett. 161, 441-462 (2005) MATHMathSciNetGoogle Scholar
  9. Hu, S, Wang, J: Global robust stability of a class of discrete-time interval neural networks. IEEE Trans. Circuits Syst. I, Regul. Pap. 53, 129-138 (2006) MathSciNetView ArticleGoogle Scholar
  10. Wang, L, Xu, Z: Sufficient and necessary conditions for global exponential stability of discrete-time recurrent neural networks. IEEE Trans. Circuits Syst. I, Regul. Pap. 53, 1373-1380 (2006) MathSciNetView ArticleGoogle Scholar
  11. Xiong, W, Cao, J: Global exponential stability of discrete-time Cohen-Grossberg neural networks. Neurocomputing 64, 433-446 (2005) View ArticleGoogle Scholar
  12. Yuan, Z, Hu, D, Huang, L: Stability and bifurcation analysis on a discrete-time neural network. J. Comput. Appl. Math. 177, 89-100 (2005) MATHMathSciNetView ArticleGoogle Scholar
  13. Zhao, H, Wang, L: Stability and bifurcation for discrete-time Cohen-Grossberg neural network. Appl. Math. Comput. 179, 787-798 (2006) MATHMathSciNetView ArticleGoogle Scholar
  14. Zou, L, Zhou, Z: Periodic solutions for nonautonomous discrete-time neural networks. Appl. Math. Lett. 19, 174-185 (2006) MATHMathSciNetView ArticleGoogle Scholar
  15. Chen, W, Lu, X, Liang, D: Global exponential stability for discrete-time neural networks with variable delays. Phys. Lett. A 358, 186-198 (2006) MATHView ArticleGoogle Scholar
  16. Liang, J, Cao, J, Lam, J: Convergence of discrete-time recurrent neural networks with variable delay. Int. J. Bifurc. Chaos 15, 581-595 (2005) MATHMathSciNetView ArticleGoogle Scholar
  17. Liang, J, Cao, J, Ho, D: Discrete-time bidirectional associative memory neural networks with variable delays. Phys. Lett. A 335, 226-234 (2005) MATHView ArticleGoogle Scholar
  18. Xiang, H, Yan, K, Wang, B: Existence and global stability of periodic solution for delayed discrete high-order Hopfield-type neural networks. Discrete Dyn. Nat. Soc. 3, 281-297 (2005) MathSciNetView ArticleGoogle Scholar
  19. Hu, Z, Tang, Z, Jiang, H: Stability analysis in a class of discrete SIRS epidemic models. Nonlinear Anal., Real World Appl. 13, 2017-2033 (2012) MATHMathSciNetView ArticleGoogle Scholar
  20. Zhang, R, Chen, Z: Value distribution of difference polynomials of meromorphic functions. Sci. Sin., Math. 42, 1115-1130 (2012) View ArticleGoogle Scholar
  21. Latreuch, Z, Belaidi, B: Growth and oscillation of meromorphic solutions of linear difference equations. Mat. Vesn. 66, 213-222 (2014) MathSciNetGoogle Scholar
  22. Zheng, X, Tu, J: Growth of meromorphic solutions of linear difference equations. J. Math. Anal. Appl. 384, 349-356 (2011) MATHMathSciNetView ArticleGoogle Scholar
  23. Chen, ZX: Zeros of entire solutions to complex linear difference equations. Acta Math. Sci. Ser. B Engl. Ed. 32, 1141-1148 (2012) MATHMathSciNetGoogle Scholar
  24. Gao, C: Solutions to discrete multiparameter periodic boundary value problems involving the p-Laplacian via critical point theory. Acta Math. Sci. Ser. B Engl. Ed. 34, 1225-1236 (2014) MathSciNetView ArticleGoogle Scholar
  25. Henderson, J, Luca, R: Existence of positive solutions for a system of second-order multi-point discrete boundary value problems. J. Differ. Equ. Appl. 19, 1889-1906 (2013) MATHMathSciNetView ArticleGoogle Scholar
  26. Henderson, J, Luca, R: On a second-order nonlinear discrete multi-point eigenvalue problem. J. Differ. Equ. Appl. 20, 1005-1018 (2014) MATHMathSciNetView ArticleGoogle Scholar
  27. Yuan, C, Wen, X, Jiang, D: Existence and uniqueness of positive solution for nonlinear singular 2nth-order continuous and discrete Lidstone boundary value problems. Acta Math. Sci. Ser. B Engl. Ed. 831, 281-291 (2011) MathSciNetGoogle Scholar
  28. Henderson, J, Luca, R: On a multi-point discrete boundary value problem. J. Differ. Equ. Appl. 19, 690-699 (2013) MATHMathSciNetView ArticleGoogle Scholar
  29. Pielou, E: An Introduction to Mathematical Ecology. Wiley-Interscience, New York (1974) Google Scholar
  30. Kuang, Y: Delay Differential Equations with Applications in Population Dynamics. Academic Press, New York (1993) MATHGoogle Scholar
  31. Gopalasamy, K: Stability and Oscillation in Delay Equation of Population Dynamics. Kluwer Academic, Dordrecht (1992) View ArticleGoogle Scholar
  32. Teng, Z: On the persistence and positive periodic solution for planar competing Lotka-Volterra systems. Ann. Differ. Equ. 13, 275-286 (1997) MATHGoogle Scholar
  33. Gaines, R, Mawhin, J: Coincidence Degree and Nonlinear Differential Equations. Springer, Berlin (1977) MATHGoogle Scholar
  34. Fang, M, Wang, K: Periodic solutions of a discrete time nonautonomous ratio-dependent predator-prey system. Math. Comput. Model. 35, 951-961 (2002) View ArticleGoogle Scholar
  35. Li, W, Huo, H: Positive periodic solutions of delay difference equations and applications in population dynamics. J. Comput. Appl. Math. 176, 357-369 (2005) MATHMathSciNetView ArticleGoogle Scholar

Copyright

© Du and Zhu 2015