Abstract
In this article, we study the existence and uniqueness of multiple positive periodic solutions for a Gilpin–Ayala predator-prey model under consideration by applying asymptotically periodic functions. The result of this paper is completely new. By using Comparison Theorem and some technical analysis, we showed that the classical nonlinear fractional model is bounded. The Banach contraction mapping principle was used to prove that the model has a unique positive asymptotical periodic solution. We provide an example and numerical simulation to inspect the correctness and availability of our essential outcomes.
MSC:
34D05; 34N05
1. Introduction of the Model
In 1973, Ayala et al. conducted tests on natural product fly flow to test the legitimacy of ten models of competition []. The Gilpin–Ayala biological system is one of the foremost vital organic numerical models. One of the model’s best ways of bookkeeping for exploration is given by []
As we all know, many competitive systems, including ecosystems, economic systems and some social systems, can be described by the Lotka–Volterra model. When , system (1) changes into the Lotka–Volterra competitive model. In the past decade, many generalizations and modifications to system (1) have been proposed and studied [,,,,,,,,].
More so, many authors have taken into account several important factors in the Lotka–Volterra predator-prey model in order to get a more realistic model. In [], the authors introduced a complex model presented by
where is the size of the i-th prey population, and for , is the size of the i-th predator population and , i, , are the parameters that modify the classical Lotka–Volterra model and they represent a nonlinear measure of interspecific interference. Liao et al. investigated the two-species Gilpin–Ayala competition predator-prey system using the harvesting terms as follows:
where , , , the functions are -periodic functions, are positive constants for and U, and V represents the number of individuals in the prey and predator population []. On the other hand, in model (3), the interaction between populations is assumed to be instantaneous, whereas in reality, this interaction always has a delay time due, for example, to the time of maturation or the gestation time of the population, for this, several authors have observed that it is more natural to assume that the growth rate also depends on the past, which can result from a variety of causes, such as the hatching period, the slowness of food replacement, or the profit of the stock of food, which takes us to a functional differential equation with delay or distributed delay [,,,]. Amdouni et al. considered the following Gilpin–Ayala competitive system with delays, distributed delay, feedback control, and the effect of a toxic substance, which is given by the following model
where , , and are positive constants, are nonnegative, pseudo almost periodic functions with respect to uniformly in , and , , , , , are all nonnegative pseudo almost periodic functions defined in . More so, in recent years, many authors have used fractional theory for modeling many phenomena, such as physics, biology, ecology, etc. [,,,,]. The authors of [] reviewed the basic ideas of fractional differential equations and their applications to nonlinear biochemical reaction models and applied the idea to a nonlinear model of enzyme inhibitor reactions with a suggested method that provides a good step forward in understanding the model dynamics in complex enzymatic reactions. Nikan et al., in [], focused on an efficient meshless numerical method for seeking accurate solutions to the nonlinear time-fractional fourth-order diffusion problem:
for and , under initial and boundary conditions for and , for , where , stands for the space variable, is the closed curve bounding the region, represents the space domain, is the forcing term with sufficient smoothness, and is a given continuous function. The symbols and denote the Laplacian and double Laplacian operators corresponding to the space directions, respectively. An improved asymptotic expansion approximation was constructed, and the asymptotic expansion was approximated numerically using the Runge–Kutta methods and hybrid finite difference methods in [].
In addition, the fractional calculus yields an excellent description of the interactions and changes in ecosystems. Furthermore, the fractional derivative is not a neighborhood of the initial state but of the past state. For this reason, this theory allows us to describe a real object more than any other theory. Motivated by the above, in this paper, we consider the fractional prey-predator Gilpin–Ayala model given by
for . The initial conditions associated with system (6) are of the form:
where denotes the Caputo fractional derivative of order , ; that is,
and for , , , for , and , , , , , , are all nonnegative S-asymptotically -periodic functions with the declaration in Table 1.
Table 1.
The declaration of the symbols in system (6).
The solution of System (6) with the initial values is equivalent to the following Volterra integral equation
where
Our model is more complicated and accurate since the theory of fractional calculus has received extensive attention. The importance of fractional calculus in our paper is to describe the interactions and changes in ecosystems.
The rest of the paper can be sketched out as: In Section 2, we mainly introduce the basic concepts, important and necessary propositions results of fractional calculus, and S-asymptotically -periodic with related assumptions. In Section 3.1, the positivity and boundedness solution of system (6) is obtained. Model (6) is studied with S-asymptotically -periodic functions, coefficient, distributed delay, and control terms, which extends the characterization of the ecological model. In addition, by Banach’s fixed point theorem, the existence of an S-asymptotically -periodic fractional Gilpin–Ayala predator-prey model with distributed delay and a control term is obtained in Section 3.2. Further, we shall show that the unique solution is globally asymptotically stable in Section 3.3. Numerical examples and simulations are provided in Section 3.4. Finally, Section 4 provides a conclusion.
2. Preliminaries
We consider the space of all continuous and bounded functions , which is denoted by with the norm uniform as . The space of r-order continuous and differentiable functions are presented by . The fractional integral of order of a given function is defined by []
Using the definition, the fractional Riemann–Liouville derivative of order of is defined as []
The Caputo derivative with order of function is defined as []
where , m is a positive integer number, and is the Euler’s gamma function. The one-parameter and two-parameter Mittag–Leffler functions are defined as
where the real part of complex number is , and are also both complex numbers.
Definition 1
([]). A function is called S-asymptotically -periodic if there exists such that
In this case, we say that is an asymptotic period of .
We denote by the space of all S-asymptotically -periodic functions endowed with the following norm
where is a Banach space [].
Lemma 1
([]). Let and then the following inequality holds true almost everywhere
Corollary 1
([]). Let , and . If
then is a non-decreasing function (non-increasing function).
We consider the following assumptions
- (A1)
- The kernel satisfies
- (A2)
- (A3)
- (A4)
where , , , , , , , , , , for and ,
3. Main Results
3.1. Positivity and Boundedness of the Solution
First, we state the following lemma.
Proof.
Let be a solution of system (6). First, we show that . Suppose that it is false, so we can find such that
Under the first equation of system (6), we get
By Corollary 1, we obtain , which contradicts the fact that . Therefore, for all . Secondly, by the same way, we can obtain that for all . This completes the proof. □
Lemma 3.
Under (A1)-(A3) there exists such that
Proof.
Let be a solution of system (6). From the first equation of system (6) we have
Suppose that there exists such that for ,
or
If Inequality (14) holds, then for and if inequality (15) holds, then for , we get
Therefore, the comparison theorem (see []) gives
For , we obtain , which contradicts the fact that . Now, we turn our attention to . Suppose that there exists such that for , we have
or
Then, for whenever inequality (16) holds, and then for whenever inequality (17) holds. By the second equation of system (6) we have
The comparison theorem leads
Similarly, we obtain that as , which contradicts inequality (17). Let
then for . Next, we have to show that . The first equation of system (6) gives
Let
By the fractional comparison principle (see []), we get . Now let us prove that . Suppose that there exists such that for , we have
or
If inequality (19) holds, then for . If (18) holds, then for ,
Therefore,
By (A2), as , which contradicts (18). Consequently, there exists such that for ,
Now, we have to prove that for . Suppose that there exists such that for , we have
or
If (21) holds, then for . If (20) holds, then for ,
Therefore,
for . For , , which contradicts the fact that . Therefore, there exists such that where . □
3.2. Existence and Uniqueness of the Solution
Lemma 4.
Let , . Then
is bounded.
Proof.
To prove the boundedness of J, we have to prove the boundedness of the intervals
Let us prove the boundedness of J in . For , we have
Therefore,
Hence, J is bounded on . Similarly, using the same method in , …, , , we prove that J is bounded. □
Theorem 1.
Under (A1)-(A4). System (6) has a unique asymptotically -periodic solution.
Proof.
Let be the operator defined by
where and are defined by (8). Next, we prove the above theorem in two steps.
Step 1: Now, we show that
Let ,
On the other hand,
and
Since, are monotonically increasing functions, , and . Then
Since , , , , , , , U, V are asymptotically -periodic functions, then for each , there exists such that for we obtain
and , , which leads
Similarly,
By Lemma 4, there exists , such that
Therefore, we have
and
From the above estimates, we obtain
For , we have
In addition,
which results that .
Step 2: Let , ,
and
which gives,
Consequently,
In addition,
Therefore, there exists a unique asymptotically -periodic solution of system (6). □
3.3. Stability of the Solution
Theorem 2.
Assume that (A1)-(A4) holds. Furthermore, suppose that the following assumptions holds
Then, System (6) is globally asymptotic stable.
Proof.
Let and be a solution for system (6) with initial condition , respectively. Consider Laypunov’s function , with
Under Lemma 1, the upper right derivative and along the solution of system (6), gives
Hence
By (22), let be a positive constant such that
Then
Consequently, , for all . Therefore, the asymptotically -periodic solution of (6) is globally asymptotically stable. □
3.4. An Example with Numerical Simulation
In this section, we present a few illustrative examples that guarantee our main results. Furthermore, we provide nice algorithms that help us calculate all numerical results.
Example 1.
In model (3), we consider the following Gilpin–Ayala predator-prey system with the harvesting terms as:
for and for , under initial conditions
Without a doubt , , , , , , , , , , , we have
Obviously, , , , , , , , , are all asymptotically -periodic functions with periodic and (A1) holds for all as follows
Table 2, Table 3 and Table 4 show the numerical results of all variables and (A1)-(A4).
Table 2.
Numerical results of (A1)-(A4) of the Gilpin–Ayala predator-prey system with harvesting terms (24) whenever .
Table 3.
Numerical results of (A1)–(A4) of the Gilpin–Ayala competition predator-prey system with harvesting terms (24) whenever .
Table 4.
Numerical results of (A1)–(A4) of the Gilpin–Ayala competition predator-prey system with harvesting terms (24) whenever .
4. Conclusions
Time plays an important role in the study of any phenomena (ecology, biology, etc.) because it makes dynamic behavior more realistic. For this reason, in our research paper, we took into account the time for all the coefficients. In this paper, we have derived a classical nonlinear fractional prey-predator Gilpin–Ayala model (6) with distributed delays and control terms. The model is an important and well-known differential equation. The study of the dynamic behavior and properties of this model can provide a theoretical basis for governance and protection. First, using some inequality techniques, we obtain a priori estimates of the boundedness region of the solution. Then, sufficient criteria for the existence of asymptotic -periodic solutions are obtained by using the Banach fixed-point theorem. We showed that by means of control, one can control the existence and stability of our model. The results in the model can be considered with -fractional differential equations []. We simulate the correctness of our results through a numerical example.
Author Contributions
Conceptualization, M.A., J.A., M.E.S., W.S. and C.T.; methodology, M.A., J.A., M.E.S., W.S. and C.T.; software, M.E.S.; validation, M.A., J.A., M.E.S., W.S. and C.T.; formal analysis, M.A., J.A., M.E.S., W.S. and C.T.; investigation, M.A., J.A., M.E.S., W.S. and C.T.; resources, M.A. and J.A.; data curation, M.A., J.A., M.E.S., W.S. and C.T.; writing—original draft preparation, M.A., J.A., M.E.S., W.S. and C.T.; writing—review and editing, M.A., J.A., M.E.S., W.S. and C.T.; visualization, M.A., J.A., M.E.S. and W.S.; supervision, J.A.; project administration, M.A. and J.A.; funding acquisition, C.T. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Data Availability Statement
Not applicable.
Acknowledgments
J.A. is thankful to Prince Sultan University and OSTİM Technical University for their endless support. C.T. would like to extend their appreciation to Burapha University.
Conflicts of Interest
The authors declare that they have no competing interests.
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