
We first study almost periodic solutions of neutral-type differential system on time scales and establish some basic results for the considered system. Furthermore, based on these results, the dynamic behaviors of two classes of neutral-type biological population models including host-macroparasite model and Lasota–Wazewska model are obtained. It is worth mentioning that we study almost periodic solutions for neutral-type differential system on time scales. Furthermore, using the above study and exponential dichotomy method, we investigate two types of biological population models.
Citation: Jing Ge, Xiaoliang Li, Bo Du, Famei Zheng. Almost periodic solutions of neutral-type differential system on time scales and applications to population models[J]. AIMS Mathematics, 2025, 10(2): 3866-3883. doi: 10.3934/math.2025180
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We first study almost periodic solutions of neutral-type differential system on time scales and establish some basic results for the considered system. Furthermore, based on these results, the dynamic behaviors of two classes of neutral-type biological population models including host-macroparasite model and Lasota–Wazewska model are obtained. It is worth mentioning that we study almost periodic solutions for neutral-type differential system on time scales. Furthermore, using the above study and exponential dichotomy method, we investigate two types of biological population models.
The study of almost periodic solutions of differential equations has a long history, and many scholars have made important contributions in this area, see [1,2,3,4,5]. Almost periodic behaviors have been known to extensively exist in the ecological systems, electronic circuits, neural networks, and so forth. The study of almost periodic solutions has helped us understand the properties and laws of a system's motion development. More recent results for nonlinear system, see [6,7,8,9,10,11].
In 1988, Stefan Hilger [12] first introduced the theory and applications of calculus on time scales. After that, a large number of research results of dynamic equations on time scales can be found in [13,14,15,16,17]. However, there are few results for the study of almost periodic solutions of differential equations on time scales. In 2011, Li and Wang [18] first proposed the concept of almost periodic time scales and the definition of almost periodic functions on almost periodic time scales. Using the above results, they considered the existence and dynamic properties of the almost periodic solution for a Hopfield neural networks with time-varying delays. In [19], the authors further studied definitions of almost periodic time scales and gave some new applications on Nicholson's blowflies system on time scales. For more results about neutral-type differential system on time scales, see [20,21] and related references. We found that there are few results for almost periodic solutions of neutral-type systems on time scales. In order to fill this gap, we will study almost periodic solutions of neutral-type systems on time scales, and we also will give its applications on neutral-type biological population models on time scales.
The main innovations of this paper are given as follows:
(1) We first consider the general theory of almost periodic solutions for neutral-type differential system on time scales and obtain some basic results for the considered system. Using the above theory and exponential dichotomy method, we study the almost periodic solutions of host-macroparasite model and Lasota-Wazewska model on time scales, which generalize the existing results in [30,31,33,34].
(2) We develop the research of almost periodic solutions for neutral-type differential systems on time scales. Particularly, using the property of neutral-type operator, we obtain some new results for neutral-type differential system on time scales.
(3) Due to the fact that the system on time scales includes both discrete and continuous cases, the results obtained in this paper are applicable to both discrete and continuous systems.
The remaining setup of the paper are organized as follows: We give some preliminary results in Section 2. Section 3 gives the general theory of almost periodic solutions for neutral-type differential system on time scales. In Section 4, we study the positive almost periodic solutions of host-macroparasite model on time scales. In Section 5, we study the positive almost periodic solutions of Lasota–Wazewska model on time scales. Section 6 gives two examples for verifying our results. We draw some conclusions in Section 7.
A time scale T is a nonempty closed subset of R. The backward jump operator ρ and the forward jump operator σ, respectively, defined by
ρ(t)=sup{s∈T:s<t},σ(t)=inf{s∈T:s>t}, |
the backward graininess μ=t−ρ(t) and the forward graininess μ(t)=σ(t)−t. A function g:T→R is regressive if 1+μ(t)g(t)≠0 for all t∈Tk holds. The set of regressive and rd-continuous functions g is denoted by R(T,R). A function g:T→R is positive regressive if 1+μ(t)g(t)>0 for all t∈Tk holds. The set of positive regressive and rd-continuous functions g is denoted by R+(T,R). The interval [p,q]T means [p,q]∩T. The intervals [p,q)T,(p,q)T and (p,q]T are defined similarly. Crd(T,R) denotes the set of all rd−continuous functions on T. For s,t∈T with t>s, the exponential function eγ(t,s) is defined by
eγ(t,s)=exp(∫tsζμ(τ)(γ(τ))Δτ), |
where
ζμ(τ)(γ(τ))={1μ(τ)Log(1+μ(τ)γ(τ)),μ(τ)>0,γ(τ),μ(τ)=0. |
Lemma 2.1. [27] Let ξ,η∈R. Then,
1)e0(t,s)≡1 and eξ(t,t)≡1;
2)eξ(ρ(t),s)=(1−μ(t)ξ(t))eξ(t,s);
3)eξ(t,s)eη(t,s)=eξ⊕η(t,s);
4)eξ(t,s)=1eξ(s,t)=e⊖ξ(s,t);
5)eξ(t,s)eξ(s,r)=eξ(t,r).
Definition 2.1. [27] A function M:T→R is called a delta-antiderivative of m:T→R if MΔ(t)=m(t) holds for all t∈Tk. For this case, define the integral of m by
∫tam(s)Δs=M(t)−M(a). |
Definition 2.2. [18] Let Θ be a collection of sets which is constructed by subsets of R. We call a time scale T as a almost periodic time scale, if
Θ∗={±ν∈⋂γ∈Θγ:t±ν∈T,∀t∈T}≠∅, |
where Θ∗ is the smallest almost periodic set of T.
Definition 2.3. [18] Let T be an almost periodic time scale with respect to Θ. A function ϕ∈C(T,Rn) is called almost periodic if for any ε>0, the set
Ω(ϕ,ε)={ν∈Θ∗:||ϕ(t+ν)−ϕ(t)||<ε,∀t∈T} |
is relatively dense, i.e., for all ε>0, there is m=m(ε)>0 such that each interval of length m contains at least one ν∈Ω(ϕ,ε) satisfying ||ϕ(t+ν)−ϕ(t)||<ε,∀t∈T.
Definition 2.4. [18] Let B(t) be an n×nrd−continuous matrix function on T. The linear system
yΔ(t)=B(t)y(t) | (2.1) |
admits an exponential dichotomy if there are constants a1,a2>0, projection P, and the fundamental solution matrix Y(t) of system (2.1) satisfying:
|||Y(t)PY−1(σ(s))||≤a1e⊖a2(t,σ(s))fort≥σ(s),s,t∈T, |
|||Y(t)(I−P)Y−1(σ(s))||≤a1e⊖a2(σ(s),t)fort≤σ(s),s,t∈T. |
Consider the following nonlinear system
yΔ(t)=B(t)y(t)+ϕ(t),t∈T, | (2.2) |
where B(t) is defined by (2.1), ϕ(t) is almost periodic vector value function.
Lemma 2.2. [18] If system (2.1) admits an exponential dichotomy, then system (2.2) has a unique almost periodic solution y(t) as follows:
y(t)=∫t−∞Y(t)PY−1(σ(s))ϕ(s)Δs−∫+∞tY(t)(I−P)Y−1(σ(s))ϕ(s)Δs. |
Consider the following linear system
yΔ(t)=diag(−b1(t),−b2(t),⋯,−bn(t))y(t),t∈T. | (2.3) |
Lemma 2.3. [18] For i=1,2,⋯,n, assume that bi(t) is almost periodic function on T with bi(t)>0,−bi(t)∈R+, and inft∈Tbi(t)>0. Then, the linear system (2.3) admits an exponential dichotomy on T.
Remark 2.1. Let B(t)=diag(−b1(t),−b2(t),⋯,−bn(t)). Then, Y(t)=eB(t,t0) is a fundamental solution matrix of the linear system (2.3).
Remark 2.2. Exponential dichotomy method has wide applications in non linear differential equations, for example, in [22], Sasu provided a new approach concerning the characterization of exponential dichotomy of difference equations by means of admissible pair of sequence spaces; Jiang [23] extended Hartman's theorem to the systems with generalized exponential dichotomy; the study of the exponential dichotomy of evolution equations using input-output techniques, see [24,25,26].
In this paper, we use the notations:
ˆf(t)=supt∈T|f(t)|,ˇf(t)=inft∈T|f(t)|, |
where f is a bounded rd-continuous function.
Consider the following neutral-type system on time scales:
(y(t)−Cy(t−τ))Δ=B(t)y(t)+ϕ(t),t∈T, | (3.1) |
where y(t)=(y1(t),y2(t),⋯,yn(t))T and ϕ(t)=(ϕ1(t),ϕ2(t),⋯,ϕn(t))T are rd-continuous vector functions, τ>0 is a constant, C=diag(c1,c2,⋯,cn), ci is constant, i=1,2,⋯,n, and B(t) is an n×nrd−continuous matrix function. Define the operator A by
A:Ω→Ω,(Ay)(t)=y(t)−Cy(t−τ),t∈T, | (3.2) |
where Ω={ω:ω(t)∈Crd(T,Rn),ω(t)isalmostperiodicvectorfunction}.
Lemma 3.1 [28] If ||C||<1, then the operator A has a unique rd-continuous bounded inverse A−1 satisfying
||A−1y||≤||y||1−||C||, |
where A is defined by (3.2).
From (3.1) and (3.2), we can change system (3.1) into the following system:
(Ay)Δ(t)=B(t)(Ay)(t)+B(t)Cy(t−τ)+ϕ(t),t∈T. | (3.3) |
Consider the following line system:
(Ay)Δ(t)=B(t)(Ay)(t), | (3.4) |
where B(t)=diag(−b1(t),−b2(t),⋯,−bn(t)), and bi(t) is rd-continuous function. By Lemma 2.3, we have the following lemma:
Lemma 3.2, For i=1,2,⋯,n, assume that bi(t) is almost periodic function on T with bi(t)>0, and −bi(t)∈R+ and inft∈Tbi(t)>0. Then, the linear system (3.4) admits an exponential dichotomy on T.
By Lemma 2.2 we have the following lemma:
Lemma 3.3. [18] If system (3.4) admits an exponential dichotomy, then system (3.3) has a unique almost periodic solution (Ay)(t) as follows:
(Ay)(t)=∫t−∞Y(t)PY−1(σ(s))˜ϕ(s)Δs−∫+∞tY(t)(I−P)Y−1(σ(s))˜ϕ(s)Δs, |
where ˜ϕ(s)=B(s)Cy(s−τ)+ϕ(s), and Y(t) is the fundamental solution matrix of system (3.3).
In this section, we will study the dynamic properties of almost periodic solution to host-macroparasite model by using the theory results of Section 3.
In 1995, May and Anderson [29] first introduced the host-macroparasite model
x′(t)=−ax(t)+bx(t)[1+cx(t−τ)]N+1, | (4.1) |
where x(t) denotes the number of sexually mature worms in the human community. The means of other parameters, see [29]. After that, the authors [30] investigated the oscillation of system (4.1). In 2015, Yao [31] studied a class of host-macroparasite model with multiply delays and variable coefficients on time scales:
xΔ(t)=−a(t)x(t)+n∑i=1bi(t)x(t−τi(t))[1+xi(t−τi(t))]Ni+1. | (4.2) |
Using the contraction mapping fixed point theorem and exponential dichotomy, the author obtained the existence and global exponential stability of positive almost periodic solution for Eq (4.2). But, there exist few results for positive almost periodic solution of neutral-type host-macroparasite model. Hence, this paper will study the following neutral-type host-macroparasite model on time scales:
(x(t)−c0x(t−γ))Δ=−a(t)x(t)+b(t)x(t−τ(t))[1+c(t)x(t−τ(t))]N+1,t∈T, | (4.3) |
where T is an almost periodic time scale, c0 is a constant with 0<c0<1, a(t),b(t),c(t), and τ(t) are all positive almost periodic functions with −a∈R+, γ and N>0 are constants. Let
(Ax)(t)=x(t)−c0x(t−γ). |
Then, Eq (4.3) can be rewritten by
(Ax)Δ(t)=−a(t)(Ax)(t)−a(t)c0x(t−γ)+b(t)x(t−τ(t))[1+c(t)x(t−τ(t))]N+1,t∈T. | (4.4) |
Considering biological significance, we only focus on positive almost periodic solutions of equation (4.3). Let Ξ={u:u∈Crd(T,R),u(t)isalmostperiodicfunction} with the norm ||u||=supt∈T|u(t)|, then Ξ is a Banach space. In view of (4.4), for u∈Ξ, consider the following auxiliary equation:
(Ax)Δ(t)=−a(t)(Ax)(t)−a(t)c0u(t−γ)+b(t)u(t−τ(t))[1+c(t)u(t−τ(t))]N+1,t∈T. | (4.5) |
Since ˇa>0, it follows by Lemma 3.2 that the linear equation (Ax)Δ(t)=−a(t)(Ax)(t) admits an exponential dichotomy on T. By Lemma 3.3, Eq (4.5) has a unique almost periodic solution
(Ax)(t)=∫t−∞e−a(t,σ(s))[−a(s)c0u(s−γ)+b(s)u(s−τ(s))[1+c(s)u(s−τ(s))]N+1]Δs. |
For u∈Ξ, define the operator Γ:Ξ→Ξ by
Γ[(Au)](t)=∫t−∞e−a(t,σ(s))[−a(s)c0u(s−γ)+b(s)u(s−τ(s))[1+c(s)u(s−τ(s))]N+1]Δs. |
Obviously, u(t) is the almost periodic solution of Eq (4.3) if and only if Au is the fixed point of the operator Γ. In this section, we need the following assumptions:
(H1) N+1−c(t)>0 for all t∈T;
(H2) there exist λ1,λ2>0 with 1N+1−ˆc≤λ1≤λ2 such that
1ˇa(M1−ˇac0λ11−c0)≤λ2, |
1ˆa(ˇbλ2[1+ˆcλ2]N+1−ˆac0λ21−c0)≥λ1, |
where M1 is defined by (4.8).
(H3) ˆac0+ˆbˇa(1−c0)<1.
Theorem 4.1. Suppose that assumptions (H1)–(H3) are satisfied, then Eq (4.3) has a unique almost periodic positive solution.
Proof: Let Ω={u:u∈Ξ,λ1≤(Au)(t)≤λ2,t∈T}, where λ1 and λ2 are defined by assumption (H2). We first show that Γ(AΩ)⊂AΩ. Since A′(u)=1−c0>0, then A−1 is increasing on R. Hence, for each u∈Ω, by Lemma 3.1, we have
λ11−c0≤u(t)≤λ21−c0. | (4.6) |
For each u∈Ω, by (4.6) we have
Γ[(Au)](t)=∫t−∞e−a(t,σ(s))[−a(s)c0u(s−γ)+b(s)u(s−τ(s))[1+c(s)u(s−τ(s))]N+1]Δs≤∫t−∞e−a(t,σ(s))[−ˇac0λ11−c0+ˆbu(s−τ(s))[1+ˇcu(s−τ(s))]N+1]Δs. | (4.7) |
Consider the function f1(x)=x(1+ˇcx)N+1,x∈R. Since f′1(x)=1−(−ˇc+N+1)x(1+ˇcx)N+2, in view of assumption (H1), f1(x) is increasing on [0,1N+1−ˇc] and decreasing on [1N+1−ˇc,+∞). Hence,
ˆbu(s−τ(s))[1+ˇcu(s−τ(s))]N+1≤ˆb1N+1−ˇc[1+ˇc1N+1−ˇc]N+1:=M1. | (4.8) |
It follows by (4.7), (4.8), and assumption (H2) that
Γ[(Au)](t)≤(M1−ˇac0λ11−c0)∫t−∞e−ˇa(t,σ(s))Δs=1ˇa(M1−ˇac0λ11−c0)≤λ2. | (4.9) |
On the other hand, for each u∈Ω, by (4.6) we have
Γ[(Au)](t)≥∫t−∞e−a(t,σ(s))[−ˆac0λ21−c0+ˇbu(s−τ(s))[1+ˆcu(s−τ(s))]N+1]Δs. | (4.10) |
Consider the function f2(x)=x(1+ˆcx)N+1,x∈R. Since f2(x) is decreasing on [1N+1−ˆc,+∞) and 1N+1−ˆc≤λ1≤u≤λ2, then,
ˇbu(s−τ(s))[1+ˆcu(s−τ(s))]N+1≥ˇbλ2[1+ˆcλ2]N+1. | (4.11) |
It follows by (4.10), (4.11), and assumption (H2) that
Γ[(Au)](t)≥(ˇbλ2[1+ˆcλ2]N+1−ˆac0λ21−c0)∫t−∞e−ˆa(t,σ(s))Δs=1ˆa(ˇbλ2[1+ˆcλ2]N+1−ˆac0λ21−c0)≥λ1. | (4.12) |
Based on (4.9) and (4.12), we have Γ(AΩ)⊂AΩ. Next, we show that Γ is a contraction mapping on Ω. For u1,u2∈Ω, we have
|Γ[(Au1)](t)−Γ[(Au2)](t)|=|∫t−∞e−a(t,σ(s))[−a(s)c0(u1(s−γ)−u2(s−γ))+b(s)u1(s−τ(s))[1+c(s)u1(s−τ(s))]N+1−b(s)u2(s−τ(s))[1+c(s)u2(s−τ(s))]N+1]Δs|≤1ˇaˆac0||u1−u2||+ˆb∫t−∞e−a(t,σ(s))|u1(s−τ(s))[1+c(s)u1(s−τ(s))]N+1−u2(s−τ(s))[1+c(s)u2(s−τ(s))]N+1|Δs. | (4.13) |
Let g(x)=x[1+c(s)x]N+1, then g′(x)=1−(−c(s)+N+1)x(1+c(s)x)N+2. Thus,
|u1(s−τ(s))[1+c(s)u1(s−τ(s))]N+1−u2(s−τ(s))[1+c(s)u2(s−τ(s))]N+1|=|g′(ξ)||u1(s−τ(s))−u2(s−τ(s))|=|1−(−c(s)+N+1)ξ(1+c(s)ξ)N+2||u1(s−τ(s))−u2(s−τ(s))|, | (4.14) |
where ξ lies between u1(s−τ(s)) and u2(s−τ(s)). Obviously,
|1−(−c(s)+N+1)ξ(1+c(s)ξ)N+2|≤1. | (4.15) |
Thus, from (4.14) and (4.15), we have
|u1(s−τ(s))[1+c(s)u1(s−τ(s))]N+1−u2(s−τ(s))[1+c(s)u2(s−τ(s))]N+1|≤||u1−u2||. | (4.16) |
It follows by (4.13), (4.16), and Lemma 3.1 that
||Γ[(Au1)](t)−Γ[(Au2)](t)||≤(ˆac0ˇa+ˆbˇa)||u1−u2||≤ˆac0+ˆbˇa(1−c0)||Au1−Au2||. |
From ˆac0+ˆbˇa(1−c0)<1, the operator Γ is a contraction mapping. Therefore, the operator Γ has a unique fixed point Au in Ω. This means that Eq (4.3) has a unique positive almost periodic solution u(t).
Theorem 4.2. Suppose that assumptions (H1)–(H3) are satisfied. Then, Eq (4.3) has a unique globally exponentially stable positive almost periodic solution.
Proof: Since assumptions (H1)–(H3) hold, it follows by Theorem 4.1 that Eq (4.3) has a unique positive almost periodic solution u∗(t) with λ11−c0≤u∗(t)≤λ21−c0. For ˜τ=max{γ,supt∈Tτ(t)}, let ϕ1(t) be the initial function of u∗(t), i.e., u∗(t,ϕ1)=ϕ1(t) for t∈[−˜τ,0]T. Suppose that u(t) is an arbitrary positive solution of Eq (4.3) with the initial function u(t,ϕ2)=ϕ2(t) for t∈[−˜τ,t0]T. Let v(t)=u(t)−u∗(t). By (4.4), we have
(Av)Δ(t)=((Au)(t)−(Au∗)(t))Δ=−a(t)(Av)(t)−a(t)c0(u(t−γ)−u∗(t−γ))+b(t)u(t−τ(t))[1+c(t)u(s−τ(t))]N+1−b(t)u∗(t−τ(t))[1+c(t)u∗(t−τ(t))]N+1=−a(t)(Av)(t)+f(t), | (4.17) |
where
f(t)=−a(s)c0(u(t−γ)−u∗(t−γ))+b(t)u(t−τ(t))[1+c(t)u(t−τ(t))]N+1−b(t)u∗(t−τ(t))[1+c(t)u∗(t−τ(t))]N+1. |
By (4.17), we get
(Av)(t)=e−a(t,t0)(Av)(t0)+∫tt0e−a(t,t0)f(s)Δs,t0∈[−˜τ,0]T, | (4.18) |
where (Av)(t0)=(Aϕ1)(t0)−(Aϕ2)(t0)=A(ϕ1(t0)−ϕ2(t0)). Note that
|f(s)|=|−a(s)c0(u(s−γ)−u∗(s−γ))+b(s)u(s−τ(s))[1+c(s)u(s−τ(s))]N+1−b(s)u∗(s−τ(s))[1+c(s)u∗(s−τ(s))]N+1|≤ˆac0||v||+ˆb|u(s−τ(s))[1+c(s)u(s−τ(s))]N+1−u∗(s−τ(s))[1+c(s)u∗(s−τ(s))]N+1|≤(ˆac0+ˆb)||v||≤(ˆac0+ˆb)11−c0||Av||. | (4.19) |
The proof of (4.19) is similar to one of (4.16). From (4.18) and (4.19), we have
||Av||≤e−a(t,t0)||A(ϕ1−ϕ2)||+∫tt0e−a(t,s)(ˆac0+ˆb)11−c0||Av||Δs, |
and
||Av||e−a(t,t0)≤||A(ϕ1−ϕ2)||+∫tt01e−a(s,t0)(ˆac0+ˆb)11−c0||Av||Δs. |
Using the Gronwall inequality on time scales, we have
||Av||e−a(t,t0)≤||A(ϕ1−ϕ2)||eμ(t,t0), |
and
||Av||≤||A(ϕ1−ϕ2)||eμ(t,t0)e−a(t,t0)≤||A(ϕ1−ϕ2)||eμ(t,t0)e−ˇa(t,t0)≤||A(ϕ1−ϕ2)||e−(ˇa−μ)(t,t0), | (4.20) |
where μ=ˆac0+ˆb1−c0. By assumption (H3), we have ˇa−μ>0. Using Lemma 3.1 and (4.20), we arrive at
||v||≤11−c0||A||||ϕ1−ϕ2||e−(ˇa−μ)(t,t0)≤1(1−c0)2||ϕ1−ϕ2||e−(ˇa−μ)(t,t0), |
i.e.,
||u(t)−u∗(t)||≤1(1−c0)2||ϕ1−ϕ2||e−(ˇa−μ)(t,t0), |
which implies that u∗(t) is globally exponentially stable.
Remark 4.1. Due to the similar research methods and results between Eq (4.3) with single time-varying delay and Eq (4.3) with multiply time-varying delays, we only study Eq (4.3) with single time-varying delay in this paper.
In this section, we will study the dynamic properties of Lasota–Wazewska model by using the theory results of Section 3. In 1988, Wazewska–Czyzewska and Lasota [32] fist introduced a model for the survival of red blood cells in an animal which is called Lasota-Wazewska model. After that, Gopalsamy and Trofimchuk [33] investigated the existence of almost periodic solutions for Lasota-Wazewska model with delay as follows:
x′(t)=−a(t)x(t)+b(t)e−αx(t−τ), |
where x(t) denotes numbers of red blood cells, a(t),b(t)>0 are almost periodic functions. α and τ are positive constants. Stamov [34] studied almost periodic solutions for Lasota-Wazewska model with impulse. The authors [35] studied almost periodic solutions for Lasota–Wazewska model with multiple time-varying delays. However, there are few results for almost periodic solutions of neutral-type Lasota–Wazewska model on time scales. Therefore, this paper is aim to study the following neutral-type Lasota–Wazewska model on time scales:
(x(t)−cx(t−γ))Δ=−a(t)x(t)+b(t)e−d(t)x(t−τ(t)),t∈T, | (5.1) |
where x(t) denotes numbers of red blood cells, a(t),b(t),d(t)>0 are almost periodic functions with −a∈R+. c and γ are positive constants with 0<c<1. The time-varying delay τ(t)>0 is a almost periodic function. Let
(Ax)(t)=x−cx(t−γ). |
Then, Eq (5.1) can be rewritten by
(Ax)Δ(t)=−a(t)(Ax)(t)−a(t)cx(t−γ)+b(t)e−d(t)x(t−τ(t)),t∈T. | (5.2) |
Let B={u:u∈Crd(T,R),u(t)isalmostperiodicfunction} with the norm ||u||=supt∈T|u(t)|, then B is a Banach space. In view of (5.2), for u∈B, consider the following auxiliary equation:
(Ax)Δ(t)=−a(t)(Ax)(t)−a(t)cu(t−γ)+b(t)e−d(t)u(t−τ(t)),t∈T. | (5.3) |
From Lemmas 3.2 and 3.3, Eq (5.3) has a unique almost periodic solution
(Ax)(t)=∫t−∞e−a(t,σ(s))[−a(s)cu(s−γ)+b(s)e−d(s)u(s−τ(s))]Δs. |
For u∈B, define the operator Γ:B→B by
Γ[(Au)](t)=∫t−∞e−a(t,σ(s))[−a(s)cu(s−γ)+b(s)e−d(s)u(s−τ(s))]Δs. |
Obviously, u(t) is the almost periodic solution of Eq (5.1) if and only if Au is the fixed point of the operator Γ. In this section, we need the following assumptions:
(A1) There exist constants μ1,μ2>0 with 1ˆd≤μ1≤μ2 such that
0<1ˇa(ˆbμ1ˇde−ˇacμ11−c)≤μ2, |
1ˆa((1−c)ˇbe−ˆdμ2−ˆacμ21−c)≥μ1. |
(A2) ˆac+ˆbˇa(1−c)<1.
Theorem 5.1. Suppose that assumptions (A1) and (A2) are satisfied, then Eq (5.1) has a unique positive almost periodic solution.
Proof: Let Ω={u:u∈B,μ1≤(Au)(t)≤μ2,t∈T}, where μ1 and μ2 are defined by assumption (A1). We first show that Γ(AΩ)⊂AΩ. For each u∈Ω, by Lemma 3.1, we have
μ11−c≤u(t)≤μ21−c. | (5.4) |
For each u∈Ω, by (5.4), we have
Γ[(Au)](t)=∫t−∞e−a(t,σ(s))[−a(s)cu(s−γ)+b(s)e−d(s)u(s−τ(s))]Δs≤∫t−∞e−a(t,σ(s))[−ˇacμ11−c+ˆbμ1u(s−τ(s))e−ˇdu(s−τ(s))]Δs. | (5.5) |
Since f(x)=xe−ˇdx is increasing on (0,1ˇd] and decreasing on [1ˇd,+∞), then,
u(s−τ(s))e−ˇdu(s−τ(s))≤1ˇde. | (5.6) |
From (5.5), (5.6), and assumption (A1), we have
Γ[(Au)](t)≤(ˆbμ1ˇde−ˇacμ11−c)∫t−∞e−ˇa(t,σ(s))Δs=1ˇa(ˆbμ1ˇde−ˇacμ11−c)≤μ2. | (5.7) |
On the other hand, for each u∈Ω, by (5.4), we have
Γ[(Au)](t)≥∫t−∞e−ˆa(t,σ(s))[−ˆacμ21−c+(1−c)ˇbμ2u(s−τ(s))e−ˆdu(s−τ(s))]Δs. | (5.8) |
Since g(x)=xe−ˆdx is decreasing on [1ˆd,+∞) and 1ˆd≤μ1≤u≤μ2, then,
u(s−τ(s))e−ˆdu(s−τ(s))≥μ2e−ˆdμ2. | (5.9) |
From (5.8), (5.9), and assumption (A1), we have
Γ[(Au)](t)≥((1−c)ˇbe−ˆdμ2−ˆacμ21−c)∫t−∞e−ˆa(t,σ(s))Δs=1ˆa((1−c)ˇbe−ˆdμ2−ˆacμ21−c)≥μ1. | (5.10) |
From (5.7) and (5.10), we have Γ(AΩ)⊂AΩ. Next, we show that Γ is a contraction mapping on Ω. For u1,u2∈Ω, we have
|Γ[(Au1)](t)−Γ[(Au2)](t)|=|∫t−∞e−a(t,σ(s))[−a(s)c(u1(s−γ)−u2(s−γ))+b(s)e−d(s)u1(s−τ(s))−b(s)e−d(s)u2(s−τ(s))]Δs|≤ˆacˇa||u1−u2||+ˆb∫t−∞e−ˇa(t,σ(s))|e−d(s)u1(s−τ(s))−e−d(s)u2(s−τ(s))|Δs≤ˆacˇa||u1−u2||+ˆb||u1−u2||∫t−∞e−ˇa(t,σ(s))d(s)ed(s)ξΔs≤(ˆacˇa+ˆb)||u1−u2||, |
i.e.,
||Γ[(Au1)](t)−Γ[(Au2)](t)||≤(ˆacˇa+ˆbˇa)11−c||(Au1−(Au2||, | (5.11) |
where ξ lies between u1(s−τ(s)) and u2(s−τ(s)) with d(s)ed(s)ξ≤1. From ˆac+ˆbˇa(1−c)<1, the operator Γ is a contraction mapping. Therefore, the operator Γ has a unique fixed point Au in Ω. This means that Eq (5.1) has a unique positive almost periodic solution u(t).
Theorem 5.2. Suppose that assumptions (A1) and (A2) are satisfied. Then Eq (5.1) has a unique globally exponentially stable positive almost periodic solution.
Proof: Since assumptions (A1) and (A2) hold, it follows by Theorem 5.1 that Eq (5.1) has a unique almost periodic positive solution u∗(t) with μ11−c≤u∗(t)≤μ21−c. For ˜τ=max{γ,supt∈Tτ(t)}, let ϕ1(t) be the initial function of u∗(t), i.e., u∗(t,ϕ1)=ϕ1(t) for t∈[−˜τ,0]T and u(t) be an arbitrary positive solution of Eq (5.1) with the initial function u(t,ϕ2)=ϕ2(t) for t∈[−˜τ,t0]T. Let y(t)=u(t)−u∗(t). By (5.2), we have
(Ay)Δ(t)=((Au)(t)−(Au∗)(t))Δ=−a(t)(Ay)(t)−a(t)c(u(t−γ)−u∗(t−γ))+b(t)e−d(t)u(t−τ(t))−b(t)e−d(t)u∗(t−τ(t))=−a(t)(Ay)(t)+f(t), | (5.12) |
where
f(t)=−a(t)c(u(t−γ)−u∗(t−γ))+b(t)e−d(t)u(t−τ(t))−b(t)e−d(t)u∗(t−τ(t)). |
By (5.12), we get
(Ay)(t)=e−a(t,t0)(Ay)(t0)+∫tt0e−a(t,t0)f(s)Δs,t0∈[−˜τ,0]T, | (5.13) |
where (Ay)(t0)=(Aϕ1)(t0)−(Aϕ2)(t0)=A(ϕ1(t0)−ϕ2(t0)). Note that
|f(s)|=|−a(s)c(u(s−γ)−u∗(s−γ))+b(s)e−d(s)u(s−τ(s))−b(s)e−d(s)u∗(s−τ(s))|≤ˆac||y||+ˆb|e−d(s)u(s−τ(s))−e−d(s)u∗(s−τ(s))|≤(ˆac+ˆb)||y||≤(ˆac+ˆb)11−c||Ay||. | (5.14) |
The proof of (5.14) is similar to one of (5.11). From (5.13) and (5.14), we have
||Ay||≤e−a(t,t0)||A(ϕ1−ϕ2)||+∫tt0e−a(t,s)(ˆac+ˆb)11−c||Ay||Δs, |
and
||Ay||e−a(t,t0)≤||A(ϕ1−ϕ2)||+∫tt01e−a(s,t0)(ˆac+ˆb)11−c||Ay||Δs. |
Using the Gronwall inequality on time scales, we have
||Ay||e−a(t,t0)≤||A(ϕ1−ϕ2)||eλ(t,t0), |
and
||Ay||≤||A(ϕ1−ϕ2)||eμ(t,t0)e−a(t,t0)≤||A(ϕ1−ϕ2)||eλ(t,t0)e−ˇa(t,t0)≤||A(ϕ1−ϕ2)||e−(ˇa−λ)(t,t0), | (5.15) |
where λ=ˆac+ˆb1−c. It follows by assumption (A2) that ˇa−λ>0. Using Lemma 3.1 and (5.15), we arrive at
||y||≤11−c||A||||ϕ1−ϕ2||e−(ˇa−λ)(t,t0)≤1(1−c)2||ϕ1−ϕ2||e−(ˇa−λ)(t,t0), |
i.e.,
||u(t)−u∗(t)||≤1(1−c)2||ϕ1−ϕ2||e−(ˇa−λ)(t,t0), |
which implies that u∗(t) is globally exponentially stable.
Remark 5.1. The neutral-type equation encompasses a wider range of mathematical models and has important applications in many aspects. Due to the complexity of neutral-type equations compared to general functional differential equations, in this paper, we utilized the properties of neutral-type operators, fixed point theorems and inequalities on time scales to study the dynamic behavior of two types of mathematical models.
Since host-macroparasite model and Lasota–Wazewska model on time scale T=R have been studied extensively, we focus on the above two classes of models on time scale T=Z.
Example 6.1. Consider the following neutral-type host-macroparasite model on T=Z:
Δ(x(k)−c0x(k−γ))=−a(k)x(k)+b(k)x(k−τ(k))[1+c(k)x(k−τ(k))]N+1,k∈Z, | (6.1) |
where
Δ(x(k))=x(k+1)−x(k),c0=1×10−4,a(k)=0.05+0.01sin√3k, |
b(k)=0.02+0.01sin√2k,c(k)=0.03+0.01sinπk,γ=0.5,τ(k)=e0.2sink. |
We have
ˆa=0.06,ˇa=0.04,ˆb=0.03,ˇb=0.01,ˆc=0.04,ˇc=0.02. |
Choose N=0.01,λ1=1.1,λ2=10, then,
N+1−c(k)=0.98−0.01sinπk>0,M1≈2.95×10−2, |
1ˇa(M1−ˇac0λ11−c0)≈0.74≤λ2, |
1ˆa(ˇbλ2[1+ˆcλ2]N+1−ˆac0λ21−c0)≈1.19≥λ1, |
ˆac0+ˆbˇa(1−c0)≈0.73<1. |
Hence, all conditions of Theorem 4.2 hold, Eq (6.1) has a unique globally exponentially stable positive almost periodic solution. The trajectory of Eq (6.1) is shown in Figure 1.
Example 6.2. Consider the following neutral-type Lasota–Wazewska model on time scale T=Z:
Δ(x(k)−cx(k−γ))=−a(k)x(k)+b(k)e−d(k)x(k−τ(k)),k∈Z, | (6.2) |
where
Δ(x(k))=x(k+1)−x(k),c=1×10−4,a(k)=0.06−0.01cos√2k, |
b(k)=0.03+0.01sin√3k,d(k)=20+10sinπk,γ=0.3,τ(k)=e0.3cosk. |
We have
ˆa=0.07,ˇa=0.05,ˆb=0.04,ˇb=0.02,ˆd=30,ˇd=10. |
Choose μ1=0.034,μ2=2, then,
0<1ˇa(ˆbμ1ˇde−ˇacμ11−c)≈0.87≤μ2, |
1ˆa((1−c)ˇbe−ˆdμ2−ˆacμ21−c)≈0.132≥μ1, |
(ˆacˇa+ˆbˇa)11−c≈0.826<1. |
Hence, all conditions of Theorem 5.2 hold, Eq (6.2) has a unique globally exponentially stable positive almost periodic solution. The trajectory of Eq (6.2) is shown in Figure 2.
In practical applications, almost periodic solutions can more accurately characterize the actual development and changes than periodic solutions. In the present paper, we first study the general theory of almost periodic solutions for neutral-type differential system on time scales. Our theory generalize the corresponding one in [18]. We find that the above theory combined with the properties of neutral operators can facilitate the study of neutral biological population models on time scales. By using the above theory, we obtain the existence and exponential stability of almost periodic solutions for two classes of neutral-type biological population models including host-macroparasite model and Lasota–Wazewska model. In the future work, we will explore the dynamic behaviors of almost periodic solutions for neutral-type population models with impulsive terms on time scales and study the dynamic behaviors of almost periodic solutions for neutral-type population models with stochastic terms on time scales.
Jing Ge: Methodology, writing-review and editing; Xiaoliang Li: Supervision, methodology; Bo Du: Writing-original draft; Famei Zheng: Formal analysis. All authors have read and agreed to the published version of the manuscript.
The author declares he has not used Artificial Intelligence (AI) tools in the creation of this article.
The authors would like to express their sincere thanks to the editor and anonymous reviewers for constructive comments and suggestions to improve the quality of this paper.
This paper was supported by the Natural Science Foundation of Huaian (HAB202231), the Doctor Training Program of Jiyang College, Zhejiang Agriculture and Forestry University (RC2022D03).
The authors declare no conflict of interest.
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