Applied Mathematics
Vol.06 No.09(2015), Article ID:59258,15 pages
10.4236/am.2015.69147
Impulsive Predator-Prey Dynamic Systems with Beddington-DeAngelis Type Functional Response on the Unification of Discrete and Continuous Systems
Ayşe Feza Güvenilir1, Billur Kaymakçalan2, Neslihan Nesliye Pelen3
1Department of Mathematics, Ankara University, Ankara, Turkey
2Department of Mathematics, Çankaya University, Ankara, Turkey
3Department of Mathematics, Ondokuz Mays University, Samsun, Turkey
Email: guvenili@science.ankara.edu.tr, billurkaymakcalan@gmail.com, nesliyeaykir@gmail.com
Copyright © 2015 by authors and Scientific Research Publishing Inc.
This work is licensed under the Creative Commons Attribution International License (CC BY).
http://creativecommons.org/licenses/by/4.0/



Received 27 July 2015; accepted 25 August 2015; published 28 August 2015
ABSTRACT
In this study, the impulsive predator-prey dynamic systems on time scales calculus are studied. When the system has periodic solution is investigated, and three different conditions have been found, which are necessary for the periodic solution of the predator-prey dynamic systems with Beddington-DeAngelis type functional response. For this study the main tools are time scales calculus and coincidence degree theory. Also the findings are beneficial for continuous case, discrete case and the unification of both these cases. Additionally, unification of continuous and discrete case is a good example for the modeling of the life cycle of insects.
Keywords:
Time Scales Calculus, Predator-Prey Dynamic Systems, Periodic Solutions, Coincidence Degree Theory, Beddington-DeAngelis Type Functional Response

1. Introduction
The relationships between species and the outer environment, and the connections between different species are the description of the predator-prey dynamic systems which is the subject of mathematical ecology in biomathematics. Various types of functional responses in predator-prey dynamic system such as Monod-type, semi-ratio- dependent and Holling-type have been studied. [1] is an example for the study about Holling-type functional response. In this paper, we consider the predator-prey system with Beddington DeAngelis type functional response and impulses. This type of functional response first appeared in [2] and [3] . At low densities this type of functional response can avoid some of the singular behavior of ratio-dependent models. Also predator feeding can be described much better over a range of predator-prey abundances by using this functional response.
In a periodic environment, significant problem in population growth model is the global existence and stability of a positive periodic solution. This plays a similar role as a globally stable equilibrium in an autonomous model. Therefore, it is important to consider under which conditions the resulting periodic nonautonomous system would have a positive periodic solution that is globally asymptotically stable. For nonautonomous case there are many studies about the existence of periodic solutions of predator-prey systems in continuous and discrete models based on the coincidence theory such as [4] -[12] .
Impulsive dynamic systems are also important in this study and we try to give some information about this area. Impulsive differential equations are used for describing systems with short-term perturbations. Its theory is explained in [13] -[15] for continuous case and also for discerete case there are some studies such as [16] . Impulsive differential equations are widely used in many different areas such as physics, ecology, and pest control. Most of them use impulses at fixed time such as [17] [18] . By using constant functions, some properties of the solution of predator-prey system with Beddington-DeAnglis type functional response and impulse impact are studied in [19] for continuous case.
In this study unification of continuous and discrete analysis is also significant. To unify the study of differential and difference equations, the theory of Time Scales Calculus is initiated by Stephan Hilger. In [20] [21] , unification of the existence of periodic solutions of population models modelled by ordinary differential equations and their discrete analogues in form of difference equations, and extension of these results to more general time scales are studied.
The unification of continuous and discrete case is a good example for the modeling of the life cycle of insects. Most of the insects have a continuous life cycle during the warm months of the year and die out in the cold months of the year, and in that period their eggs are incubating or dormant. These incubating eggs become new individuals of the new warm season. Since insects have such a continuous and discrete life cycle, we can see the importance of models obtained by the time scales calculus for the species that have unusual life cycle. Therefore, in this paper we try to generalize periodic solutions of predator-prey dynamic systems with Beddington-DeAn- glis type functional response and impulse to general time scales.
2. Preliminaries
Below informations are from [20] . Let X, Z be normed vector spaces,
be a linear mapping,
be a continuous mapping. The mapping L will be called a Fredholm mapping of index zero if
and ImL is closed in Z. If L is a Fredholm mapping of index zero and there exist continuous projections
and
such that
,
, then it follows that
is invertible. We denote the inverse of that map by
. If Ω is an open bounded subset of X, the mapping N will be called L-compact on Ω if
is bounded and
is compact. Since ImQ is isomorphic to KerL, there exists an isomorphism
.
The above informations are important for the Continuation Theorem that we give below.
Theorem 1. (Continuation Theorem). Let L be a Fredholm mapping of index zero and N be L-compact on Ω. Suppose
(a) For each
, every solution z of
is such that
;
(b)
for each 



We will also give the following lemma, which is essential for this paper.
Lemma 1. Let 


3. Main Result
The equation that we investigate is:











if 





Lemma 2. If 


Proof. If we using the first equation of (1) we obtain,
Since 
Similarly
Theorem 2. In addition to conditions on coefficient functions
If
and
then there exist at least a w-periodic solution.
Proof. 
and
with the norm:
Let us define the mappings 


and 
Then






There exist continuous projectors 

and
where
The generalized inverse 
Let
and
Clearly, 



Ascoli theorem we can find 

ally, 


To apply the continuation theorem we investigate the below operator equation.

Let 


From (2) and (3) we get

where

where
Note that since 




By the second equation of (3) and (6) and the first assumption of Theorem 2, we have
and 
Using the second inequality in Lemma 1 we have

By the first equation of (3) and (6) we get 
using the first inequality in Lemma 1 and (4), we have

By (8) and (9) 
Therefore
By the assumption of the theorem we can show that

where
Hence, by using the first inequality in Lemma 1 and the second equation of (3),

We can also derive from the second equation of (3) that
Again using second assumption of Theorem 2 we obtain
and 
By using the second inequality in Lemma 1 and (5), we obtain

By (10) and (11) we have 


pendent of







where 
Define the homotopy 
Take 

All the functions in jacobian of G is positive then 
Thus all the conditions of Theorem 1 are satisfied. Therefore system (1) has at least a positive w-periodic solution.
Theorem 3. If same conditions are valid for the coefficient functions in system (1) and
is satisfied then there exist at least a w-periodic solution.
Proof. First part of the proof is very similar with the proof of Theorem 2. By (2), (3) and (6)
By (3) 



And using the second inequality in Lemma 1 we have

By the first equation of (3) and (6)
Then we get 
Using the first inequality in Lemma 1 we have

By (12) and (13) 
Therefore
Since 

Hence, by using the first inequality in Lemma 1 and the second equation of (3),

By the assumption of Theorem 3 there exists 
is true. We need to get 



that 
If such t, s does not exists then 

By using first inequality in Lemma 1, we have
Using the second equality in (3) and the assumption of the Theorem 4, we obtain
This implies 
Hence, according to the above discussion we have 
in Lemma 1 we have 
Thus 






(a) in Theorem 1. Rest of the proof is similar to Theorem 2.
Let there are two insect populations (one of them the predator, the other one the prey) both continuous while in season (say during the six warm months of the year), die out in (say) winter, while their eggs are incubating or dormant, and then both hatch in a new season, both of them giving rise to nonoverlapping populations. This situation can be modelled using the time scale
Here impulsive effect of the pest population density is after its partial destruction by catching, poisoning with chemicals used in agriculture (can be shown by

Corollary 1. If 
is satisfied then the system (1) has at least one w-periodic solution.
Example 1. 
Impulse points:




Example 1 satisfies all the conditions of Theorem 2, thus it has at least one periodic solution.
Example 2. 
Impulse points:




Example 2 satisfies all the conditions of Theorem 3, thus it has at least one periodic solution.
Theorem 4. If all the coefficient functions in system (1) is positive, w-periodic, from 
is satisfied then there exist at least a w-periodic solution.
Proof. First part of the proof is similar to Theorem 2, only difference is the zero impulses. If the assumption of Theorem 4 is true then there exists 
is satisfied. Suppose there exist 


If such s, t does not exist


Thus we get
Then
If 


with the maximum of the solution. Let 
Then 

If
Thus
Using (3) and (7) above results we obtain
This implies
Hence, according to the above discussion we have 
Lemma 1 we have 

is similar to Theorem 2.
Corollary 2. In Theorem 4 if we take 

Example 3. 
Example 3 satisfies all the conditions of Theorem 4, thus it has at least one periodic solution.
All the graphs that we see in Figures 1-3 are obtained by Mathlab.
4. Discussion
In this paper, the impulsive predator-prey dynamic systems on time scales calculus are studied. We investigate when the system has periodic solution. Furthermore, three different conditions have been found which are necessary for the periodic solution of the predator-prey dynamic systems with Beddington-DeAngelis type functional response. Also by using graphs, we are able to show that the conditions that are found in Theorem 2, 3
Figure 1. Numeric solution of Example 1 shows the periodicity.
Figure 2. Numeric solution of Example 2 shows the periodicity.
Figure 3. Numeric solution of Example 3 shows the periodicity.
and 4 are enough for the periodic solution of the given system. In this work, since our system can model the life cycle of the such species like insects, what we have done new is finding necessary condition for the periodic solution of the given predator-prey system with sudden changes. In addition to these, according to the structure of the given time scale
Cite this paper
Ayşe FezaGüvenilir,BillurKaymakçalan,Neslihan NesliyePelen, (2015) Impulsive Predator-Prey Dynamic Systems with Beddington-DeAngelis Type Functional Response on the Unification of Discrete and Continuous Systems. Applied Mathematics,06,1649-1664. doi: 10.4236/am.2015.69147
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