Existence and Stability of Positive Periodic Solutions for a Neutral Multispecies Logarithmic Population Model with Feedback Control and Impulse
Abstract
We investigate a neutral multispecies logarithmic population model with feedback control and impulse. By applying the contraction mapping principle and some inequality techniques, a set of easily applicable criteria for the existence, uniqueness, and global attractivity of positive periodic solution are established. The conditions we obtained are weaker than the previously known ones and can be easily reduced to several special cases. We also give an example to illustrate the applicability of our results.
1. Introduction
As is known to all, ecosystem in the real world is continuously distributed by unpredictable forces which can result in changes in the biological parameters such as survival rates. Of practical interest in ecology is the question of whether or not an ecosystem can withstand those unpredictable disturbances which persist for a finite period of time. In recent years, the qualitative behaviors of the population dynamics with feedback control has attracted the attention of many mathematicians and biologists [1–5]. On the other hand, there are some other perturbations in the real world such as fires and floods, which are not suitable to be considered continually. These perturbations bring sudden changes to the system. Systems with such sudden perturbations involving impulsive differential equations have attracted the interest of many researchers in the past twenty years [6–10], since they provide a natural description of several real processes subject to certain perturbations whose duration is negligible in comparison with the duration of the process. Such processes are often investigated in various fields of science and technology such as physics, population dynamics, ecology, biological systems, and optimal control; for details, see [11–13]. However, to the best of the author’s knowledge, to this day, no scholar considered the neutral multispecies logarithmic population model with feedback control and impulse.
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H1 ri(t), aij(t), bij(t), cij(t), dij(t), ei(t), fi(t), τij(t), δij(t) ∈ C2(R, R), σi(t), γi(t), αi(t), βi(t), and ηi(t) are continuous nonnegative ω-periodic functions with , aii(t) > 0, , τ = max t∈[0,ω]{τij(t), δij(t), σi(t), γi(t)}, and , , i, j = 1,2, …, n;
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H2 0 < t1 < t2 < ⋯<tk < ⋯ are fixed impulsive points with lim k→∞tk = +∞;
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H3 {θik} is a real sequence, θik + 1 > 0, and is an ω-periodic function.
In the following section, some definitions and some useful lemmas are listed. In the third section, by applying the contraction mapping principle, some sufficient conditions which ensure the existence and uniqueness of positive periodic solution of system (1) are established, and then we get a few sufficient conditions ensuring the global attractivity of the positive periodic solution by employing some inequality techniques. Finally, we give an example to show our results.
2. Preliminaries
In order to obtain the existence and uniqueness of a periodic solution for system (1), we first give some definitions and lemmas.
Definition 1. A function Ni : R → (0, ∞) (i = 1,2, …, n) is said to be a positive solution of (1), if the following conditions are satisfied:
- (a)
Ni(t) is absolutely continuous on each (tk, tk+1);
- (b)
for each k ∈ Z+, and exist, and ;
- (c)
Ni(t) satisfies the first equation of (1) for almost everywhere (for short a.e.) in [0, ∞]∖{tk} and satisfies for t = tk, k ∈ Z+ = {1,2, …}.
Definition 2. System (1) is said to be globally attractive, if there exists a positive solution (Ni(t), ui(t)) of (1) such that , , for any other positive solution of the system (1).
We can easily get the following lemma.
Lemma 3. is the positive invariable region of the system (1).
Proof. In view of biological population, we obtain Ni(0) > 0, ui(0) > 0. By the system (1), we have
Under the above hypotheses (H1)–(H3), we consider the neutral nonimpulsive system:
The following lemma will be used in the proofs of our results, and the proof of the lemma is similar to that of Theorem 1 in [6].
Lemma 4. Suppose that (H1)–(H4) hold. Then
Proof. (i) It is easy to see that is absolutely continuous on every interval (tk, tk+1], t ≠ tk, k = 1,2, …,
(ii) Since is absolutely continuous on every interval (tk, tk+1], t ≠ tk, k = 1,2, …, and in view of (8), it follows that for any k = 1,2, …,
Lemma 5. (yi(t), ui(t)) is a ω-periodic solution of (4) if and only if yi(t) is a ω-periodic solution of the following system:
Obviously, the existence, uniqueness, and global attractivity of positive periodic solution of system (1) is equivalent to the existence, uniqueness, and global attractivity of periodic solution of system (10).
Lemma 6. Assume that u(t), τ(t) are all continuously differentiable ω-periodic functions and a(t) is a nonnegative continuous ω-periodic function such that ; then
3. Main Theorem
In this section, by using contraction principle and some inequality techniques, several conditions on the existence, uniqueness, and global attractivity of periodic solution for system (1) are presented.
Obviously, the existence, uniqueness, and global attractivity of positive periodic solution of system (10) is equivalent to the existence, uniqueness, and global attractivity of periodic solution of system (17).
Theorem 7. In addition to (H1)–(H3), assume further that there exist positive constants hi (i = 1,2, …, n) and a positive constant M < 1 such that
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H4 .
Proof. From the above analysis, to finish the proof of Theorem 7, it is enough to prove under the conditions of Theorem 7 that system (17) has a unique ω-periodic solution. Let
Now, by using Lemma 6, xiu(t) can also be expressed as
Our next theorem is concerned with the global stability of periodic solution for system (1).
Theorem 8. In addition to (H1)–(H4), suppose further that the following condition holds:
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H5 , as t → +∞, i = 1,2, …, n.
Proof. Let be the unique positive periodic solution of system (1), whose existence and uniqueness are guaranteed by Theorem 7, and let N(t) = (N1(t), N2(t), …, Nn(t)) T be any other solution of system (1). Let , ; then, similar to (17), we have
Remark 9. If ei(t) = fi(t) = αi(t) = βi(t) = ϑi(t) = 0, θik + 1 = 0, i = 1,2, …, n, k = 1,2, …, then system (1) is studied by [3]. Hence, Theorems 7 and 8 generalize the corresponding results in [3].
4. Example
Corollary 11. In addition to conditions (H1)–(H3), assume further that there exists a positive constant M < 1 such that
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H6 .
Corollary 12. In addition to conditions (H1)–(H3) and (H6), suppose further that the following condition holds:
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H7 as t → +∞.
Remark 13. The results in the work show that by means of appropriate impulsive perturbations and feedback control we can control the dynamics of these equations.
Acknowledgments
The authors are thankful to the referees and editor for the improvement of the paper. This work was supported by the Construct Program of the Key Discipline in Hunan Province, NSF of China (nos. 10971229, 11161015, and 11371367), PSF of China (no. 2012M512162), NSF of Hunan Province (nos. 11JJ900, 12JJ9001, and 13JJ4098), and the Education Foundation of Hunan province (nos. 12C0541 and 13C084).