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Dynamics of almost periodic solutions for a discrete Fox harvesting model with feedback control

Abstract

We consider the following discrete Fox harvesting model with feedback control of the form

{ x ( n + 1 ) = x ( n ) exp { β ( n ) ln r ( K ( n ) x ( n ) ) α ( n ) γ ( n ) u ( n ) } , Δ u ( n ) = μ ( n ) u ( n ) + ν ( n ) x ( n ) .

Under the assumptions of almost periodicity of the coefficients, sufficient conditions are established for the existence and uniformly asymptotical stability of almost periodic solutions of this model. The persistence as well as the boundedness of solutions of the above system are discussed prior to presenting the main result. Examples are provided to illustrate the effectiveness of the proposed results.

MSC:39A11, 34K14.

1 Introduction

Consider the following equation of population dynamics [1, 2]:

x (t)=xF(t,x)+xG(t,x), x (t)= d x d t ,
(1)

where x=x(t) is the size of the population, F(t,x) is the per-capita harvesting rate and G(t,x) is the per-capita fecundity rate. Let G(t,x) and F(t,x) be defined in the form

F(t,x)=α(t)andG(t,x)=β(t) ln r ( K ( t ) x ( t ) ) ,r>0,

then equation (1) becomes

x (t)=x(t) [ β ( t ) ln r ( K ( t ) x ( t ) ) α ( t ) ] ,
(2)

where α(t) is a variable harvesting rate, β(t) is an intrinsic factor and K(t) is a varying environmental carrying capacity. The positive parameter r is referred to as an interaction parameter [1, 3, 4]. Indeed, if r>1 then intra-specific competition is high, whereas if 0<r<1, then the competition is low. For r=1, equation (2) reduces to the classical Gompertzian model with harvesting [2, 5]. Equation (2) is called a Fox surplus production model that has been used to build up certain prediction models such as microbial growth model, demographic model and fisheries model. This equation is considered to be an efficient alternative to the well known r-logistic model. Specifically, the Fox model is more appropriate upon describing lower population density; we refer the reader to [1, 3, 4, 610] and, in particular, to the recent paper [11] for more information.

Ecosystems in the real world are continuously disturbed by unpredictable forces which can result in changing some biological parameters such as survival rates. In ecology, a question of practical interest is whether or not an ecosystem can withstand these unpredictable disturbances which persist for a finite period of time. In the language of control theory, we call these disturbance functions a control variable. In [12], Gopalsamy and Weng introduced a model with feedback controls in which the control variables satisfy a certain differential equation. The next years have witnessed the appearance of many papers regarding the study of ecosystems with feedback control; see for instance [1317].

In the last years, many authors have argued that the discrete time models governed by difference equations are more appropriate than the continuous counterparts, especially when the populations have no overlapping generations. It is also known that the discrete models can provide more efficient computational methods for numerical simulations [1820]. By applying the same method used in [21], one can derive the discrete analogue of (2) as follows:

x(n+1)=x(n)exp { β ( n ) ln r ( K ( n ) x ( n ) ) α ( n ) } .
(3)

One of the most important behaviors of solutions which has been the main object of investigations among authors is the periodic behavior of solutions [2229]. To consider periodic environmental factors acting on a population model, it is natural to study the model subject to periodic coefficients. Indeed, the assumption of periodicity of the parameters in the model is a way of incorporating the time-dependent variability of the environment (e.g., seasonal effects of weather, food supplies, mating habits and harvesting). On the other hand, upon considering long-term dynamical behavior, it has been found that the periodic parameters often turn out to experience some perturbations that may lead to a change in character. Thus, the investigation of almost periodic behavior is considered to be in more accordance with reality; see the remarkable monographs [3032] and the recent contributions [3348].

Motivated by the above justifications, we consider the following discrete Fox harvesting model with feedback control in the form

{ x ( n + 1 ) = x ( n ) exp { β ( n ) ln r ( K ( n ) x ( n ) ) α ( n ) γ ( n ) u ( n ) } , Δ u ( n ) = μ ( n ) u ( n ) + ν ( n ) x ( n ) ,
(4)

where u(n) is the control variable and Δu(n) is the forward difference u(n+1)u(n). Under the assumptions of almost periodicity of coefficients of system (4), we shall study the existence and uniformly asymptotical stability of almost periodic solutions for system (4). The persistence as well as the boundedness of solutions of system (4) are discussed prior to presenting the main result. To the best of author’s observation, no paper has been published in the literature regarding the dynamics of almost periodic solutions of system (4). Thus, the result of this paper is essentially different and presents a new approach.

The remaining part of this paper is organized as follows. In Section 2, some preliminary definitions along with essential lemmas are given. Section 9 discusses the persistence and boundedness of solutions of system (4). In Section 30, sufficient conditions are established to investigate the existence and uniformly asymptotical stability of almost periodic solutions of the said system. Section 5 provides some numerical examples to illustrate the feasibility of our theoretical results.

2 Preliminaries

Let R, R + , Z and Z + be the sets of real, nonnegative real, integer and nonnegative integer numbers respectively. For any bounded sequence {f(n)} on Z, we define

f M = sup n Z f(n)and f m = inf n Z f(n).
(5)

Throughout the remainder of this paper, we assume the following condition:

(H.1) {β(n)}, {K(n)}, {α(n)}, {γ(n)}, {μ(n)} and {ν(n)} are bounded nonnegative almost periodic sequences such that

Due to certain biological reasons, we restrict our attention to positive solutions of system (4). Thus, we consider system (4) together with the following initial conditions:

x(0)>0andu(0)>0.
(6)

One can easily figure out that the solutions of system (4) with the initial conditions (6) are defined and remain positive for all n Z + .

Definition 1 [49]

A sequence x:ZR is called an almost periodic sequence if the ϵ-translation set E{ϵ,x}={τZ:|x(n+τ)x(n)<ϵ,nZ} is a relatively dense set in Z for all ϵ>0, that is, for any ϵ>0 there is a constant l(ϵ)>0 such that in any interval of length l(ϵ) there exists a number τE{ϵ,x} such that the inequality

|x(n+τ)x(n)|<ϵ

is satisfied for all nZ.

Definition 2 [49]

Let f:Z×DR where D is an open set in R. Then f(n,x) is said to be almost periodic in n uniformly for xD, or uniformly almost periodic for short, if for any ϵ>0 and any compact set SD, there exists a positive integer l(ϵ,S) such that any interval of length l(ϵ,S) contains an integer τ for which

|f(n+τ,x)f(n,x)|<ϵ

for all nZ and xS. The number τ is called the ϵ-translation for f(n,x).

Lemma 1 [49]

{x(n)} is an almost periodic sequence if and only if for any sequence { h k }Z, there exists a subsequence { h k }{ h k } such that x(n+ h k ) converges uniformly on nZ as k. Furthermore, the limit sequence is also an almost periodic sequence.

Consider the following almost periodic difference system:

x(n+1)=f ( n , x ( n ) ) ,n Z + ,
(7)

where f:Z× S δ R, S δ ={xR:x<δ} and f(n,x) is almost periodic in n uniformly for x S δ and is continuous in x. The product system of (7) is in the form

x(n+1)=f ( n , x ( n ) ) ,y(n+1)=f ( n , y ( n ) ) .
(8)

Our approach is based on the following lemma.

Lemma 2 [50]

Suppose that there exists a Lyapunov functional V(n,x,y) defined for n Z + , x<δ, y<δ and satisfying the following conditions:

  1. (i)

    a(xy)V(n,x,y)b(xy), where a,bT with T={aC( R + , R + ):a(0)=0 and a is increasing };

  2. (ii)

    |V(n, x 1 , y 1 )V(n, x 2 , y 2 )|L( x 1 x 2 + y 1 y 2 ) where L>0 is a constant;

  3. (iii)

    Δ ( 8 ) V(n,x,y)λV(n,x,y) where 0<λ<1 is a constant and Δ ( 8 ) V(n,x,y)=V(n+1,f(n,x),f(n,y))V(n,x,y).

Moreover, if there exists a solution φ(n) of system (8) such that φ(n) δ <δ for n Z + , then there exists a unique uniformly asymptotically stable almost periodic solution p(n) of system (8) which satisfies p(n) δ . In particular, if f(n,x) is periodic of period ω, then there exists a unique uniformly asymptotically stable periodic solution of system (8) of period ω.

3 Persistence and boundedness

In this section, we prove every solution of system (4) is persistent. In addition to this, we prove that there exists a bounded solution for (4).

Definition 3 System (4) is said to be persistent if there are positive constants x , u , x and u such that

lim sup n x(n) x , lim sup n u(n) u

and

lim inf n x(n) x , lim sup n u(n) u

for each positive solution (x(n),u(n)) of (4).

We assume the following condition:

(H.2) β m ln r K m > α M + γ M u .

Set

x = K M e [ ( α β ) m ] 1 r exp { ( β ln r K ) M } and u = ν M x μ m .

Lemma 3 Let (H.1), (H.2) hold. Then, every solution of system (4) satisfies

lim sup n x(n) x and lim sup n u(n) u .

Proof Let (x(n),u(n)) be a solution of (4). To prove that lim sup n x(n) x , we consider two cases:

Case I. There exists l 0 Z + such that x( l 0 +1)x( l 0 ). By the first equation of (4), we have

β( l 0 ) ln r ( K ( l 0 ) x ( l 0 ) ) α( l 0 )γ( l 0 )u( l 0 )0,

which implies that

x( l 0 ) K M e [ ( α β ) m ] 1 r x .

Thus,

x ( l 0 + 1 ) = x ( l 0 ) exp { β ( l 0 ) ln r ( K ( l 0 ) x ( l 0 ) ) α ( l 0 ) γ ( l 0 ) u ( l 0 ) } K M e [ ( α β ) m ] 1 r exp { ( β ln r K ) M } = x .

We claim that x(n) x for n l 0 . Indeed, if there is an integer n 0 l 0 +2 such that x( n 0 )> x and n 1 is the least integer between l 0 and n 0 such that x( n 1 )= max l 0 n n 0 {x(n)}, then n 1 l 0 +2 and x( n 1 )>x( n 1 1) which implies that x( n 1 ) x <x( n 0 ). This is a contradiction. This proves the claim.

Case II. Let x(n)x(n+1) for n Z + . Then, lim n x(n) exists and equals x ¯ . Taking the limit of the first equation in (4), we have

lim n ( β ( n ) ln r ( K ( n ) x ( n ) ) α ( n ) γ ( n ) u ( n ) ) =0.

Hence x ¯ K M e [ ( α β ) m ] 1 r x . This proves the claim.

Now, we prove that lim sup n u(n) u . For any ε>0, there exists a large enough integer n 0 Z + such that x(n) x +ε for n n 0 . By the second equation of (4), we get

u ( n ) = i = 0 n 1 ( 1 μ ( i ) ) [ u ( 0 ) + i = 0 n 1 ν ( i ) x ( i ) j = 0 i ( 1 μ ( j ) ) ] ( 1 μ m ) n [ u ( 0 ) + i = 0 n 0 1 ν ( i ) x ( i ) j = 0 i ( 1 μ ( j ) ) ] + ν M ( x + ε ) i = n 0 n 1 j = i 1 n 1 ( 1 μ ( j ) ) ( 1 μ m ) n [ u ( 0 ) + i = 0 n 0 1 ν ( i ) x ( i ) j = 0 i ( 1 μ ( j ) ) ] + ν M ( x + ε ) i = n 0 n 1 ( 1 μ m ) n i 1 .

Since 0< μ m <1, we can find a positive number d such that 1 μ m = e d . Thus, by using Stolz’s theorem, we obtain

lim n i = n 0 n 1 ( 1 μ m ) n i 1 = lim n i n 0 n 1 e d ( i + 1 ) e d n = 1 1 e d = 1 μ m .

Hence

lim sup n u(n) ν M ( x + ε ) μ m .

By the arbitrariness of ε, we obtain lim sup n u(n) ν M x μ m := u . The proof of Lemma 3 is complete. □

Set

x = K m e ( α M + γ M ( u ) β m ) 1 r exp { β m ln r ( K m x ) α M γ M u } and u = ν m x μ M .

Lemma 4 Let (H.1), (H.2) hold. Then every solution of system (4) satisfies

lim inf n x(n) x and lim inf n u(n) u .

Proof Let (x(n),u(n)) be a solution of (4). By virtue of Lemma 3, one can figure out that for any ε>0 which satisfies β m ln r K m > α M + γ M ( u +ε), there exists n 0 Z + such that

x(n) x +εandu(n) u +εfor n n 0 .

To prove that lim inf n x(n) x , we consider two cases:

Case I. There exists l 0 n 0 such that x( l 0 +1)x( l 0 ). We observe that for n l 0 , we have

x ( n + 1 ) = x ( n ) exp { β ( n ) ln r ( K ( n ) x ( n ) ) α ( n ) γ ( n ) u ( n ) } x ( n ) exp { β m ln r ( K ( n ) x ( n ) ) α M γ M ( u + ε ) } .

For n= l 0 , we get

β m ln r ( K ( l 0 ) x ( l 0 ) ) α M γ M ( u + ε ) 0,

which implies that

x( l 0 ) K m e ( α M + γ M ( u + ε ) β m ) 1 r .

It follows that

x ( l 0 + 1 ) = x ( l 0 ) exp { β ( l 0 ) ln r ( K ( l 0 ) x ( l 0 ) ) α ( l 0 ) γ ( l 0 ) u ( l 0 ) } K m e ( α M + γ M ( u + ε ) β m ) 1 r exp { β m ln r ( K m x + ε ) α M γ M ( u + ε ) } .

Let

x ε = K m e ( α M + γ M ( u + ε ) β m ) 1 r exp { β m ln r ( K m x + ε ) α M γ M ( u + ε ) } .

We claim that

x(n) x ε for n l 0 .

For the sake of contradiction, assume that there exists p 0 l 0 such that x( p 0 )< x ε . Then p 0 l 0 +2. Let p 1 l 0 +2 be the smallest integer such that x( p 1 )< x ε . Then x( p 1 1)>x( p 1 ). The above arguments imply that x( p 1 ) x ε which is a contradiction. This proves the claim.

Case II. Let x(n)>x(n+1) for all n Z + . Then, lim n x(n) exists and it is equal to x ̲ . Taking the limit of the first equation of (4), we have

lim n ( β ( n ) ln r ( K ( n ) x ( n ) ) α ( n ) γ ( n ) u ( n ) ) =0.

Hence x ̲ K m e ( α M + γ M ( u + ε ) β m ) 1 r x ε and lim ε 0 x ε = x . This proves the claim.

By applying the same arguments followed in the proof of Lemma 3, one can easily show that lim n u(n) u . The proof of Lemma 4 is complete. □

The results of Lemma 3 and Lemma 4 can be concluded in the following theorem:

Theorem 1 Let (H.1), (H.2) hold. Then system (4) is persistent.

Let Ω be the set of all solutions (x(n),u(n)) of system (4) satisfying x x(n) x and u u(n) u for all n Z + . By virtue of Theorem 1, it should be noted that Ω is an invariant set of system (4).

In view of Lemma 2, we need to show that there exists a bounded solution of system (4). The following result proves the existence of such a solution.

Theorem 2 Let (H.1), (H.2) hold. Then Ω.

Proof By the almost periodicity of {β(n)}, {K(n)}, {α(n)}, {γ(n)}, {μ(n)} and {ν(n)}, there exists an integer valued sequence { τ p } with { τ p } as p such that β(n+ τ p )β(n), K(n+ τ p )K(n), α(n+ τ p )α(n), γ(n+ τ p )γ(n), μ(n+ τ p )μ(n), ν(n+ τ p )ν(n) as p. Let ε be an arbitrary small positive number. It follows from Lemma 3 and Lemma 4 that there exists a positive integer N 0 such that

x εx(n) x +εand u εu(n) u +ε,for all n> N 0 .

Let x p (n)=x(n+ τ p ) and u p (n)=u(n+ τ p ) for n N 0 τ p , p=1,2, . For any positive integer q, it is easy to see that there exist sequences { x p (n):pq} and { u p (n):pq} such that the sequences { x p (n)} and { u p (n)} have subsequences, denoted by { x p (n)} and { u p (n)} again, converging on any finite interval of Z as p, respectively. Thus, we have sequences {z(n)} and {w(n)} such that

x p (n)z(n)and u p (n)w(n)for nZ as p.

Therefore, the system

{ x p ( n + 1 ) = x p ( n ) exp { β ( n + τ p ) ln r ( K ( n + τ p ) x p ( n ) ) α ( n + τ p ) γ ( n + τ p ) u p ( n ) } , u p ( n + 1 ) = ( 1 μ ( n + τ p ) ) u p ( n ) + ν ( n + τ p ) x p ( n ) ,
(9)

implies

{ z ( n + 1 ) = z ( n ) exp { β ( n ) ln r ( K ( n ) z ( n ) ) α ( n ) γ ( n ) w ( n ) } , w ( n ) = ( 1 μ ( n ) ) w ( n ) + ν ( n ) z ( n ) .
(10)

We can easily see that (z(n),w(n)) is a solution of system (4) and x εz(n) x +ε, u εw(n) u +ε for nZ. Since ε is arbitrary, it follows that x z(n) x , u w(n) u for nZ. This completes the proof. □

4 The main result

Let f(x)= ln r ( K ( n ) e x ), where x[ln x ,ln x ]. Then, it is easy to find out that f (x)=r [ ln ( K ( n ) e x ) ] r 1 . The following inequalities hold:

r [ ln ( K ( n ) e x ) ] r 1 r [ ln ( K m x ) ] r 1 := Φ 1
(11)

and

r [ ln ( K ( n ) e x ) ] r 1 r ln r 1 K M := Φ 2 .
(12)

Theorem 3 Let (H.1), (H.2) hold. Suppose further that

(H.3) 0<Γ<1 for Γ=min{ Γ 1 , Γ 2 }, where

Γ 1 = β M 2 Φ 2 2 γ M γ M β M Φ 2 2 β M Φ 1 ν M 2 x 2 + ν M x ( μ m 1 )

and

Γ 2 = γ M 2 γ M β M Φ 2 γ M + μ m (2 μ M ) ν M x ( 1 μ m ) .

Then, there exists a unique uniformly asymptotically stable almost periodic solution X=(x(n),u(n)) of system (4) which satisfies x x(n) x and u u(n) u for all n Z + .

Proof Let p(n)=lnx(n). In view of system (4), we have

{ p ( n + 1 ) = p ( n ) + β ( n ) ln r ( K ( n ) x ( n ) ) α ( n ) γ ( n ) u ( n ) , Δ u ( n ) = μ ( n ) u ( n ) + ν ( n ) e p ( n ) .
(13)

By the result of Theorem 2, it follows that system (13) has a bounded solution (p(n),u(n)) satisfying

ln x p(n)ln x and u u(n) u ,for all n Z + .

Hence, |p(n)|σ and |u(n)|ρ, where σ=max{|ln x |,|ln x |} and ρ=max{ u , u }.

For (p,u) R 2 , we define the norm (p,u)=|p|+|u|. Suppose that X=(p(n),u(n)) and Y=(q(n),v(n)) are any two solutions of system (13) defined on Z + × Ω × Ω , then Xκ and Yκ where κ=σ+ρ and Ω ={(p(n),u(n)) R 2 :ln x p(n)ln x , u u(n) u , for all n Z + }.

Consider the product system of (13)

{ p ( n + 1 ) = p ( n ) + β ( n ) ln r ( K ( n ) e p ( n ) ) α ( n ) γ ( n ) u ( n ) , Δ u ( n ) = μ ( n ) u ( n ) + ν ( n ) e p ( n ) , q ( n + 1 ) = q ( n ) + β ( n ) ln r ( K ( n ) e q ( n ) ) α ( n ) γ ( n ) v ( n ) , Δ v ( n ) = μ ( n ) v ( n ) + ν ( n ) e q ( n ) .
(14)

Construct a Lyapunov function defined on Z + × Ω × Ω as follows:

V(n,X,Y)= ( p ( n ) q ( n ) ) 2 + ( u ( n ) v ( n ) ) 2 .

It is easy to see that the norm XY=|p(n)q(n)|+|u(n)v(n)| and the norm X Y = { ( p ( n ) q ( n ) ) 2 + ( u ( n ) v ( n ) ) 2 } 1 2 are equivalent, that is, there exist two constants C 1 >0 and C 2 >0 such that

C 1 XY X Y C 2 XY.

Thus

( C 1 X Y ) 2 X Y 2 ( C 2 X Y ) 2

or

( C 1 X Y ) 2 V(n,X,Y) ( C 2 X Y ) 2 .

Let a,bC( R + , R + ) such that a(x)= C 1 2 x 2 and b(x)= C 2 2 x 2 . Thus, condition (i) of Lemma 2 is satisfied.

Moreover,

where X ˜ =( p ˜ (n), u ˜ (n)), Y ˜ =( q ˜ (n), v ˜ (n)) and Ψ=4max{σ,ρ}. Therefore, condition (ii) of Lemma 2 is satisfied.

Finally, we calculate the difference ΔV(n,X,Y) along system (14). Indeed,

Δ V ( 14 ) ( n , X , Y ) = V ( n + 1 , X , Y ) V ( n , X , Y ) = ( p ( n + 1 ) q ( n + 1 ) ) 2 ( p ( n ) q ( n ) ) 2 + ( u ( n + 1 ) v ( n + 1 ) ) 2 ( u ( n ) v ( n ) ) 2 .
(15)

In view of system (15), we observe that

( p ( n + 1 ) q ( n + 1 ) ) 2 = [ ( p ( n ) q ( n ) ) + β ( n ) ln r ( K ( n ) e p ( n ) ) β ( n ) ln r ( K ( n ) e q ( n ) ) γ ( n ) ( u ( n ) v ( n ) ) ] 2

or

( p ( n + 1 ) q ( n + 1 ) ) 2 = ( p ( n ) q ( n ) ) 2 + [ β ( n ) ln r ( K ( n ) e p ( n ) ) β ( n ) ln r ( K ( n ) e q ( n ) ) γ ( n ) ( u ( n ) v ( n ) ) ] 2 + 2 ( p ( n ) q ( n ) ) [ β ( n ) ln r ( K ( n ) e p ( n ) ) β ( n ) ln r ( K ( n ) e q ( n ) ) γ ( n ) ( u ( n ) v ( n ) ) ] .

Thus,

( p ( n + 1 ) q ( n + 1 ) ) 2 = ( p ( n ) q ( n ) ) 2 + [ β ( n ) ln r ( K ( n ) e p ( n ) ) β ( n ) ln r ( K ( n ) e q ( n ) ) ] 2 + γ 2 ( n ) ( u ( n ) v ( n ) ) 2 2 γ ( n ) ( u ( n ) v ( n ) ) [ β ( n ) ln r ( K ( n ) e p ( n ) ) β ( n ) ln r ( K ( n ) e q ( n ) ) ] + 2 ( p ( n ) q ( n ) ) [ β ( n ) ln r ( K ( n ) e p ( n ) ) β ( n ) ln r ( K ( n ) e q ( n ) ) ] 2 γ ( n ) ( p ( n ) q ( n ) ) ( u ( n ) v ( n ) ) .
(16)

Moreover,

( u ( n + 1 ) v ( n + 1 ) ) 2 = [ ( 1 μ ( n ) ) u ( n ) + ν ( n ) e p ( n ) ( 1 μ ( n ) ) v ( n ) ν ( n ) e q ( n ) ] 2 = [ ( 1 μ ( n ) ) ( u ( n ) v ( n ) ) + ν ( n ) ( e p ( n ) e q ( n ) ) ] 2

or

( u ( n + 1 ) v ( n + 1 ) ) 2 = ( u ( n ) v ( n ) ) 2 + μ ( n ) ( μ ( n ) 2 ) ( u ( n ) v ( n ) ) 2 + ν 2 ( n ) ( e p ( n ) e q ( n ) ) 2 + 2 ν ( n ) ( 1 μ ( n ) ) ( u ( n ) v ( n ) ) ( e p ( n ) e q ( n ) ) .
(17)

Substituting (16) and (17) back in (15), we obtain

Δ V ( n , X , Y ) = [ β ( n ) ln r ( K ( n ) e p ( n ) ) β ( n ) ln r ( K ( n ) e q ( n ) ) ] 2 + γ 2 ( n ) ( u ( n ) v ( n ) ) 2 2 γ ( n ) ( u ( n ) v ( n ) ) [ β ( n ) ln r ( K ( n ) e p ( n ) ) β ( n ) ln r ( K ( n ) e q ( n ) ) ] + 2 ( p ( n ) q ( n ) ) [ β ( n ) ln r ( K ( n ) e p ( n ) ) β ( n ) ln r ( K ( n ) e q ( n ) ) ] 2 γ ( n ) ( p ( n ) q ( n ) ) ( u ( n ) v ( n ) ) + μ ( n ) ( μ ( n ) 2 ) ( u ( n ) v ( n ) ) 2 + ν 2 ( n ) ( e p ( n ) e q ( n ) ) 2 + 2 ν ( n ) ( 1 μ ( n ) ) ( u ( n ) v ( n ) ) ( e p ( n ) e q ( n ) ) .
(18)

By applying the Mean Value Theorem, we have

ln r ( K ( n ) e p ( n ) ) ln r ( K ( n ) e q ( n ) ) =r [ ln ( K ( n ) e ξ ( n ) ) ] r 1 ( p ( n ) q ( n ) )
(19)

and

e p ( n ) e q ( n ) = e η ( n ) ( p ( n ) q ( n ) ) ,
(20)

where ξ(n), η(n) lie between p(n) and q(n). Substituting (19) and (20) back in (18), we get

ΔV(n,X,Y)= Ω 1 + Ω 2 + Ω 3 + Ω 4 + Ω 5 + Ω 6 + Ω 7 + Ω 8 ,
(21)

where

and

Ω 8 (n)=2ν(n) e η ( n ) ( 1 μ ( n ) ) ( u ( n ) v ( n ) ) ( p ( n ) q ( n ) ) .

By virtue of (H.1), (11) and (12), we observe that

(22)
(23)
(24)
(25)
(26)
(27)
(28)
(29)

Substituting (22)-(29) back in (21), we obtain

Δ V ( n , X , Y ) β M 2 Φ 2 2 ( p ( n ) q ( n ) ) 2 + γ M 2 ( u ( n ) v ( n ) ) 2 + γ M β M Φ 2 ( p ( n ) q ( n ) ) 2 + γ M β M Φ 2 ( u ( n ) v ( n ) ) 2 + 2 β M Φ 1 ( p ( n ) q ( n ) ) 2 + γ M ( p ( n ) q ( n ) ) 2 + γ M ( u ( n ) v ( n ) ) 2 + μ m ( μ M 2 ) ( u ( n ) v ( n ) ) 2 + ν M 2 x 2 ( p ( n ) q ( n ) ) 2 + ν M x ( 1 μ m ) ( u ( n ) v ( n ) ) 2 + ν M x ( 1 μ m ) ( p ( n ) q ( n ) ) 2 = [ β M 2 Φ 2 2 γ M γ M β M Φ 2 2 β M Φ 1 ν M 2 x 2 + ν M x ( μ m 1 ) ] ( p ( n ) q ( n ) ) 2 [ γ M 2 γ M β M Φ 2 γ M + μ m ( 2 μ M ) ν M x ( 1 μ m ) ] ( u ( n ) v ( n ) ) 2 = Γ { ( p ( n ) q ( n ) ) 2 + ( u ( n ) v ( n ) ) 2 } = Γ V ( n , X , Y ) .

By virtue of the condition that 0<Γ<1, assumption (iii) of Lemma 2 is satisfied. Thus, we conclude that there exists a unique uniformly asymptotically stable almost periodic solution X=(p(n),u(n)) of system (13) which satisfies ln x p(n)ln x and u u(n) u for all n Z + . It follows that there exists a unique uniformly asymptotically stable almost periodic solution X=(x(n),u(n)) of system (4) which satisfies x x(n) x and u u(n) u for all n Z + . □

Assume the following condition:

(H.4) {β(n)}, {K(n)}, {α(n)}, {γ(n)}, {μ(n)} and {ν(n)} are bounded nonnegative periodic sequences of period ω.

Corollary 1 Let (H.2)-(H.4) hold. Then system (4) has a unique uniformly asymptotically stable periodic solution of period ω.

5 Some examples

Example 1 Consider the following system:

{ x ( n + 1 ) = x ( n ) exp { ( 0.25 0.05 cos n ) ln 1 3 ( 1 x ( n ) ) 0.2 0.2 u ( n ) } , Δ u ( n ) = ( 0.35 0.05 sin π n ) u ( n ) + ( 0.4 ) x ( n ) ,
(30)

where β(n)=0.250.05cosn, α(n)=0.2, γ(n)=0.2, μ(n)=0.350.05sinπn, ν(n)=0.4, K(n)1, r= 1 3 . By calculation, we find 0.044 x < x 0.0498, 0.044 u < u 0.0664 and Γ 1 0.8166, Γ 2 0.2260. Therefore, Γ0.2260. One can easily check the validity of conditions (H.1)-(H.3). Thus, by Theorem 1 and Theorem 3, system (30) is persistent and has a unique uniformly asymptotically stable almost periodic solution.

Example 2 Consider the following system:

{ x ( n + 1 ) = x ( n ) exp { ( 0.35 0.05 sin 3 n ) ln ( 1 + 0.01 sin 3 n x ( n ) ) x ( n + 1 ) = ( 0.2 + 0.01 sin 3 n ) ( 0.0015 + 0.0005 sin 3 n ) u ( n ) } , Δ u ( n ) = ( 0.35 0.05 cos 3 n ) u ( n ) + ( 0.0015 + 0.0005 sin 3 n ) x ( n ) ,
(31)

where β(n)=0.350.05sin 3 n, α(n)=0.2+0.01sin 3 n, γ(n)=0.0015+0.0005×sin 3 n, μ(n)=0.350.05cos 3 n, ν(n)=0.0015+0.0005sin 3 n, K(n)=1+0.01sin 3 n, r=2. By calculation, we find 0.05823 x < x 0.73588, 0.00145 u < u 0.0049 and Γ 1 0.267226, Γ 2 0.22317. Therefore, Γ0.22317. One can easily check the validity of conditions (H.1)-(H.3). Thus, by Theorem 1 and Theorem 3, system (31) is persistent and has a unique uniformly asymptotically stable almost periodic solution.

Example 3 Consider the following system:

{ x ( n + 1 ) = x ( n ) exp { ( 0.25 0.05 sin n ) ln ( 1 x ( n ) ) x ( n + 1 ) = ( 0.35 + 0.05 sin π n ) ( 0.001 ) u ( n ) } , Δ u ( n ) = ( 0.25 0.05 cos n ) u ( n ) + ( 0.02 ) x ( n ) ,
(32)

where β(n)=0.250.05sinn, α(n)=0.35+0.05sinπn, γ(n)=0.001, μ(n)=0.250.05cosn, ν(n)=0.02, K(n)1, r1. By calculation, we find 0.12246 x < x 0.223, 0.008164 u < u 0.0223 and Γ 1 0.596, Γ 2 0.335. Therefore, Γ0.335. One can easily check the validity of conditions (H.2)-(H.4). Thus, by Theorem 1 and Corollary 1, system (32) is persistent and has a unique uniformly asymptotically stable periodic solution.

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Acknowledgements

The author would like to express his sincere thanks to the editor Prof. Dr. Elena Braverman for handling the paper during the reviewing process and to the referees for suggesting some corrections that helped making the contents of the paper more accurate.

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Alzabut, J. Dynamics of almost periodic solutions for a discrete Fox harvesting model with feedback control. Adv Differ Equ 2012, 157 (2012). https://doi.org/10.1186/1687-1847-2012-157

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Keywords

  • discrete Fox harvesting model
  • almost periodic
  • persistence and boundedness
  • feedback control
  • uniformly asymptotical stability