With the level of science and technology, the logistics industry is paying more and more attention to sustainable development. However, the current cold chain logistics industry generally has problems such as backward refrigeration technology, irrational distribution management, and outdated equipment, which make its energy consumption serious and cause severe carbon emission effects on the environment. Optimizing the carbon emission structure of the cold chain logistics industry is the top priority for ensuring the sustainable development of the logistics industry. The circulation of fresh products is mainly through cold chain logistics. However, there are some problems of excessively high cost of the cold chain and easy disconnection during the cold transportation process in Chinese cold chain logistics, which severely restricts the development of Chinese cold chain logistics. Because of the perishability and strong timeliness of distribution of fresh products, inventory costs, penalties, and damage costs need to be considered. Because fresh products should utilize refrigerated transportation, it is also necessary to consider refrigerated costs during transportation and cold storage cost in distribution centers. Based on the goal of the lowest total cost, this paper constructs an integer programming model and analyzes cases. By comparing the simulation results of the genetic algorithm and the hybrid algorithm, it is concluded that the hybrid algorithm is more effective.
Citation: Zheng Liu, Hangxin Guo, Yuanjun Zhao, Bin Hu, Lihua Shi, Lingling Lang, Bangtong Huang. Research on the optimized route of cold chain logistics transportation of fresh products in context of energy-saving and emission reduction[J]. Mathematical Biosciences and Engineering, 2021, 18(2): 1926-1940. doi: 10.3934/mbe.2021100
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With the level of science and technology, the logistics industry is paying more and more attention to sustainable development. However, the current cold chain logistics industry generally has problems such as backward refrigeration technology, irrational distribution management, and outdated equipment, which make its energy consumption serious and cause severe carbon emission effects on the environment. Optimizing the carbon emission structure of the cold chain logistics industry is the top priority for ensuring the sustainable development of the logistics industry. The circulation of fresh products is mainly through cold chain logistics. However, there are some problems of excessively high cost of the cold chain and easy disconnection during the cold transportation process in Chinese cold chain logistics, which severely restricts the development of Chinese cold chain logistics. Because of the perishability and strong timeliness of distribution of fresh products, inventory costs, penalties, and damage costs need to be considered. Because fresh products should utilize refrigerated transportation, it is also necessary to consider refrigerated costs during transportation and cold storage cost in distribution centers. Based on the goal of the lowest total cost, this paper constructs an integer programming model and analyzes cases. By comparing the simulation results of the genetic algorithm and the hybrid algorithm, it is concluded that the hybrid algorithm is more effective.
Fractional calculus is an emerging field drawing attention from both theoretical and applied disciplines. In particular, fractional calculus is a powerful tool for explaining problems in ecology, biology, chemistry, physics, mechanics, networks, flow in porous media, electricity, control systems, viscoelasticity, mathematical biology, fitting of experimental data, and so forth. One may see the papers [1,2,3,4,5] and the references therein.
Fractional difference calculus or discrete fractional calculus is a very new field for mathematicians. Some real-world phenomena are being studied with the assistance of fractional difference operators. Basic definitions and properties of fractional difference calculus can be found in the book [6]. Fractional boundary value problems can be found in the books [7,8]. Now, the studies of boundary value problems for fractional difference equations are extended to be more complex. Excellent papers related to discrete fractional boundary value problems can be found in [9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35] and references cited therein. In particular, there are some recent papers that present the Caputo fractional difference calculus [36,37,38,39,40,41]. In the literature, there are apparently few research works studying boundary value problems for Caputo fractional difference-sum equations. For example, [42] studied a boundary value problem for p−Laplacian Caputo fractional difference equations with fractional sum boundary conditions of the forms
{ΔαC[ϕp(ΔβCx)](t)=f(t+α+β−1,x(t+α+β−1)),t∈N0,T:={0,1,…,T},ΔβCx(α−1)=0,x(α+β+T)=ρΔ−γx(η+γ). | (1.1) |
In [43], investigated a nonlocal fractional sum boundary value problem for a Caputo fractional difference-sum equation of the form
ΔαCu(t)=F[t+α−1,ut+α−1,ΔβCu(t+α−β)],t∈N0,T,ΔγCu(α−γ−1)=0,u(T+α)=ρΔ−ωu(η+ω). | (1.2) |
In addition, [44] considered a periodic boundary value problem for Caputo fractional difference-sum equations of the form
ΔαCu(t)=F[t+α−1,u(t+α−1),Ψγu(t+α−1)],t∈N0,T,t+α−1≠tk,Δu(tk)=Ik(u(tk−1)),k=1,2,...,p,Δ(Δ−βu(tk+β))=Jk(Δ−βu(tk+β−1)),k=1,2,...,p,Au(α−1)+BΔ−βu(α+β−1)=Cu(T+α)+DΔ−βu(T+α+β). | (1.3) |
We aim to fill the gaps related to the boundary value problem of Caputo fractional difference-sum equations. The goal of this paper is to enrich this new research area by using the unknown function of Caputo fractional difference and fractional sum in the problem. So, in this paper, we consider a sequential nonlinear Caputo fractional sum-difference equation with fractional difference boundary value conditions of the form
CΔααCΔβα+β−1x(t)=H[t+α+β−1,x(t+α+β−1),CΔνα+β−1x(t+α+β−ν),Ψμ(t+α+β−1,x(t+α+β−1))],t∈N0,T,ρ1x(α+β−2)=x(T+α+β),ρ2CΔγα+β−2x(α+β−γ−1)=CΔγα+β−2x(T+α+β−γ+1), | (1.4) |
where ρ1,ρ2∈R, 0<α,β,γ,ν,μ≤1, 1<α+β≤2 are given constants, H∈C(Nα+β−2,T+α+β×R3,R), and for φ∈C(⊙×R2,[0,∞)), ⊙:={(t,r):t,r∈Nα+β−2,T+α+βandr≤t}. The operator Ψμ is defined by
Ψμ(t,x(t)):=t−μ∑s=α+β−μ−2(t−σ(s))μ−1_Γ(μ)φ(t,s+μ,x(s+μ),CΔνα+β−2x(s+μ−ν+1)). |
The plan of this paper is as follows. In Section 2, we recall some definitions and basic lemmas. Also, we derive the solution of (1.4) by converting the problem to an equivalent equation. In Section 3, we prove existence and uniqueness results of the problem (1.4) using the Banach contraction principle and Schaefer's theorem. Furthermore, we also show the existence of a positive solution to (1.4). An illustrative example is presented in Section 4.
In the following, there are notations, definitions and lemmas which are used in the main results.
Definition 2.1. [10] We define the generalized falling function by tα_:=Γ(t+1)Γ(t+1−α), for any t and α for which the right-hand side is defined. If t+1−α is a pole of the Gamma function and t+1 is not a pole, then tα_=0.
Lemma 2.1. [9] Assume the following factorial functions are well defined. If t≤r, then tα_≤rα_ for any α>0.
Definition 2.2. [10] For α>0 and f defined on Na:={a,a+1,…}, the α-order fractional sum of f is defined by
Δ−αaf(t)=Δ−αf(t):=1Γ(α)t−α∑s=a(t−σ(s))α−1_f(s), |
where t∈Na+α and σ(s)=s+1.
Definition 2.3. [11] For α>0 and f defined on Na, the α-order Caputo fractional difference of f is defined by
CΔαaf(t)=ΔαCf(t):=Δ−(N−α)aΔNf(t)=1Γ(N−α)t−(N−α)∑s=a(t−σ(s))N−α−1_ΔNf(s), |
where t∈Na+N−α and N∈N is chosen so that 0≤N−1<α<N. If α=N, then ΔαCf(t)=ΔNf(t).
Lemma 2.2. [11] Assume that α>0 and 0≤N−1<α≤N. Then,
Δ−αa+N−αCΔαay(t)=y(t)+C0+C1t1_+C2t2_+...+CN−1tN−1_, |
for some Ci∈R, 0≤i≤N−1.
To study the solution of the boundary value problem (1.4), we need the following lemma that deals with a linear variant of the boundary value problem (1.4) and gives a representation of the solution.
Lemma 2.3. Let Λ(ρ1−1)≠0, 0<α,β,γ,ν,μ≤1, 1<α+β≤2 and h∈C(Nα+β−1,T+α+β−1,R) be given. Then, the problem
CΔααCΔβα+β−1x(t)=h(t+α+β−1),t∈N0,T | (2.1) |
{ρ1x(α+β−2)=x(T+α+β),ρ2CΔγα+β−2x(α+β−γ−1)=CΔγα+β−2x(T+α+β−γ+1), | (2.2) |
has the unique solution
x(t)=T+(ρ1−1)(t−α−β)+2ρ1Λ(ρ1−1)Γ(1−γ)Γ(β−1)Γ(α)T+α+β∑s=α+β−1s−β+1∑r=αr−α∑ξ=0(T+α+β−γ+1−σ(s))−γ_×(s−σ(r))β−2_(r−σ(ξ))α−1_h(ξ+α+β−1)+1(ρ1−1)Γ(β)Γ(α)T+α∑s=αs−α∑ξ=0(T+α+β−σ(s))β−1_(s−σ(ξ))α−1_h(ξ+α+β−1)+1Γ(β)Γ(α)t−β∑s=αs−α∑ξ=0(t−σ(s))β−1_(s−σ(ξ))α−1_h(ξ+α−1), | (2.3) |
where
Λ=ρ2−Γ(T−γ+4)Γ(2−γ)Γ(T+3). | (2.4) |
Proof. Using the fractional sum of order α∈(0,1] for (2.1) and from Lemma 2.2, we obtain
CΔβα+β−2x(t)=C1+1Γ(α)t−α∑s=0(t−σ(s))α−1_h(s+α+β−1), | (2.5) |
for t∈Nα−1,T+α.
Using the fractional sum of order 0<β≤1 for (2.5), we obtain
x(t)=C2+C1t+1Γ(β)Γ(α)t−β∑s=αs−α∑ξ=0(t−σ(s))β−1_(s−σ(ξ))α−1_h(ξ+α+β−1), | (2.6) |
for t∈Nα+β−2,T+α+β.
By substituting t=α+β−2,T+α+β into (2.6) and employing the first condition of (2.2), we obtain
−C2(ρ1−1)+C1[(T−(ρ1−1)(α+β)+2ρ1]=−1Γ(β)Γ(α)T+α∑s=αs−α∑ξ=0(T+α+β−σ(s))β−1_(s−σ(ξ))α−1_h(ξ+α+β−1). | (2.7) |
Using the fractional Caputo difference of order 0<γ≤1 for (2.6), we obtain
CΔγα+β−2x(t)=C1Γ(1−γ)t+γ−1∑s=α+β−2(t−σ(s))−γ_+1Γ(1−γ)Γ(β)Γ(α)×t+γ−1∑s=α+β−2(t−σ(s))−γ_sΔ[s−β∑r=αr−α∑ξ=0(s−σ(r))β−1_(r−σ(ξ))α−1_h(ξ+α+β−1)]=C1Γ(1−γ)t+γ−1∑s=α+β−2(t−σ(s))−γ_+1Γ(1−γ)Γ(β−1)Γ(α)×t+γ−1∑s=α+β−2s−β+1∑r=αr−α∑ξ=0(t−σ(s))−γ_(s−σ(r))β−2_(r−σ(ξ))α−1_h(ξ+α+β−1), | (2.8) |
for Nα+β−γ−1,T+α+β−γ+1.
By substituting t=α+β−γ−1,T+α+β−γ+1 into (2.8) and employing the second condition of (2.2), it implies
C1=−1ΛΓ(1−γ)Γ(β−1)Γ(α)T+α+β∑s=α+β−1s−β+1∑r=αr−α∑ξ=0(T+α+β−γ+1−σ(s))−γ_×(s−σ(r))β−2_(r−σ(ξ))α−1_h(ξ+α+β−1). |
The constant C2 can be obtained by substituting C1 into (2.7). Then, we get
C2=T−(ρ1−1)(α+β)+2ρ1(ρ1−1)ΛΓ(1−γ)Γ(β−1)Γ(α)T+α+β∑s=α+β−1s−β+1∑r=αr−α∑ξ=0(T+α+β−γ+1−σ(s))−γ_×(s−σ(r))β−2_(r−σ(ξ))α−1_h(ξ+α+β−1)+1(ρ1−1)Γ(β)Γ(α)T+α∑s=αs−α∑ξ=0(T+α+β−σ(s))β−1_(s−σ(ξ))α−1_h(ξ+α+β−1), |
where Λ is defined by (2.4). Substituting the constants C1 and C2 into (2.6), we obtain (2.3).
In this section, we wish to establish the existence results for the problem (1.4). We denote C=C(Nα+β−2,T+α+β,R) as the Banach space of all functions x with the norm defined by
‖x‖C=‖x‖+‖ΔνCx‖, |
where ‖x‖=max and \|\Delta^{\nu}_Cx\| = \max\limits_{t\in {\mathbb{N}}_{\alpha+\beta-2, T+\alpha+\beta}}\big|\Delta^{\nu}_{C}x(t-\nu+1)\big| .
The following assumptions are assumed:
\textbf{(A1)} {\mathcal{H}}[t, x, y, z]:{\mathbb{N}}_{\alpha+\beta-2, T+\alpha+\beta} \times {\mathbb{R}}^3\rightarrow \mathbb{R} is a continuous function.
\textbf{(A2)} There exist constants K_1, K_2 > 0 such that for each t\in {\mathbb{N}}_{\alpha+\beta-2, T+\alpha+\beta} and all x_i, y_i, z_i\in {\mathbb{R}}, \; i = 1, 2 , we have
\Big|{\mathcal{H}}[t,x_1,y_1,z_1]-{\mathcal{H}}[t,x_2,y_2,z_2]\Big| \leq K_1\,\Big[|x_1-x_2|+|y_1-y_2|+|z_1-z_2|\Big], |
and
K_2 = \max\limits_{t\in {\mathbb{N}}_{\alpha+\beta-2,T+\alpha+\beta}} \Big|{\mathcal{H}}[t,0,0,\Psi^\mu (t,0) ]\Big|, |
where \; \Psi^\mu (t, 0): = \frac{1}{\Gamma(\mu)}\sum\limits_{s = \alpha+\beta-\mu-2}^{t-\mu}(t-\sigma(s))^{\underline{\mu-1}}\, \varphi\Big(t, s+\mu, 0, 0\Big) .
\textbf{(A3)} \varphi:\odot \times {\mathbb{R}}^2\rightarrow {\mathbb{R}} is continuious for (t, s)\in \odot , and there exists a constant L > 0 , such that for each (t, s)\in \odot and all x_i, y_i\in \mathcal{C}, \; i = 1, 2 we have
\Big|\varphi(t,s+\mu,x_1,y_1)-\varphi(t,s+\mu,x_2,y_2)\Big|\leq L\,\Big[|x_1-x_2|+|y_1-y_2|\Big]. |
Let us define the operator {\widetilde{\mathcal{H}}}[t, x(t)] by
\begin{align} \; \,{\widetilde{\mathcal{H}}}[t,x(t)]: = {\mathcal{H}}\Big[&t,x(t),\Delta^\nu_C x(t-\nu+1),\Psi^\mu (t,x(t))\Big], \end{align} | (3.1) |
for each t\in {\mathbb{N}}_{\alpha+\beta-2, T+\alpha+\beta}\; and \; x\in {\mathcal{C}} .
Note that \; \Delta^{-\beta} \Delta^{-\alpha}\, {\widetilde{\mathcal{H}}}[t, x(t)] and \Delta^{\nu}_C\, \Delta^{-\beta} \Delta^{-\alpha} \, {\widetilde{\mathcal{H}}}[t, x(t)]\; exist when \; \nu < \alpha+\beta\leq2.
Lemma 3.1. Assume that (A1)–(A3) hold. Then, the following property holds:
(A4) There exits a positive constant \Theta such that
\Big|\,{\widetilde{\mathcal{H}}}[t,x_1(t)]-{\widetilde{\mathcal{H}}}[t,x_2(t)]\,\Big| \leq \Theta\,\|x_1-x_2\|_{\mathcal{C}}, |
for each t\in {\mathbb{N}}_{\alpha+\beta-2, T+\alpha+\beta}\; and \; x_1, x_2\in {\mathcal{C}} , where
\begin{align} \Theta: = K_1\left[1+ \frac{L\,\Gamma(T+\mu+3)}{\Gamma(\mu+1)\Gamma(T+3)}\right]. \end{align} | (3.2) |
Proof. By \textbf{(A3)} , for each t\in {\mathbb{N}}_{\alpha+\beta-2, T+\alpha+\beta}\; and \; x_1, x_2\in {\mathcal{C}} , we obtain
\begin{align*} &\Big|(\Psi^\mu x_1)(t)-(\Psi^\mu x_2)(t)\Big|\\ \leq&\; \frac{1}{\Gamma(\mu)}\sum\limits_{s = \alpha+\beta-\mu-2}^{t-\mu}(t-\sigma(s))^{\underline{\mu-1}}\,\\ & \Big|\varphi\Big(t,s+\mu,x_1(s+\mu),\Delta^\nu_C x_1(s+\mu-\nu+1)\Big)\\ &\; -\varphi\Big(t,s+\mu,x_2(s+\mu),\Delta^\nu_C x_2(s+\mu-\nu+1)\Big) \Big|\\ \leq&\; \frac{1}{\Gamma(\mu)}\sum\limits_{s = \alpha+\beta-\mu-2}^{T+\alpha+\beta-\mu}(T+\alpha+\beta-\sigma(s))^{\underline{\mu-1}}\times\\ &\; L\,\Big[\big|x_1(s+\mu)-x_2(s+\mu)\big|+\\ &\big|\Delta^\nu_C x_1(s+\mu-\nu+1)-\Delta^\nu_C x_2(s+\mu-\nu+1)\big|\Big]\\ \leq&\; \frac{L\,\Gamma(T+\mu+3)}{\Gamma(\mu+1)\Gamma(T+3)}\,\Bigg\{ \big\|x_1-x_2\big\| + \big\|\Delta^\nu_C x_1-\Delta^\nu_C x_2\big\|\Bigg\}, \end{align*} |
and hence
\begin{align*} &\Big|\,{\widetilde{\mathcal{H}}}[t,x_1(t)]-{\widetilde{\mathcal{H}}}[t,x_2(t)]\,\Big| \\ \leq&\; K_1\,\Big[\big|x_1(t)-x_2(t)\big|+\big|\Delta^\nu_C x_1(t-\nu+1)-\Delta^\nu_C x_2(t-\nu+1)\big|\Big]\\ &\; +\frac{K_1L\,\Gamma(T+\mu+3)}{\Gamma(\mu+1)\Gamma(T+3)}\,\Bigg\{ \big\|x_1-x_2\big\| + \big\|\Delta^\nu_C x_1-\Delta^\nu_C x_2\big\|\Bigg\}\\ = &\; \Theta\,\|x_1-x_2\|_{\mathcal{C}}.\end{align*} |
Next, we define the operator {\mathcal{F}}:\mathcal{C}\longrightarrow\mathcal{C} by
\begin{align} &({\mathcal{F}}x)(t) \\ = & \sum\limits_{s = \alpha+\beta-1}^{T+\alpha+\beta}\sum\limits_{r = \alpha}^{s-\beta+1}\sum\limits_{\xi = 0}^{r-\alpha} {\mathcal{A}}_{\alpha,\beta,\gamma,\rho_1,\rho_2}(t,s,r,\xi)\,{\widetilde{\mathcal{H}}}\\ & [\xi+\alpha+\beta-1,x(\xi+\alpha+\beta-1)] \\ & +\sum\limits_{s = \alpha}^{T+\alpha}\sum\limits_{\xi = 0}^{s-\alpha} \frac{(T+\alpha+\beta-\sigma(s))^{\underline{\beta-1}}(s-\sigma(\xi))^{\underline{\alpha-1}}}{\left(\rho_1-1\right)\Gamma(\beta)\Gamma(\alpha)}\,\\ & {\widetilde{\mathcal{H}}}[\xi+\alpha+\beta-1,x(\xi+\alpha+\beta-1)] \\ & +\sum\limits_{s = \alpha}^{t-\beta}\sum\limits_{\xi = 0}^{s-\alpha}\frac{(t-\sigma(s))^{\underline{\beta-1}} (s-\sigma(\xi))^{\underline{\alpha-1}}}{\Gamma(\beta)\Gamma(\alpha)}\,\\ & {\widetilde{\mathcal{H}}}[\xi+\alpha+\beta-1,x(\xi+\alpha+\beta-1)] , \end{align} | (3.3) |
where
\begin{align} {\mathcal{A}}_{\alpha,\beta,\gamma,\rho_1,\rho_2}(t,s,r,\xi) : = &\; \frac{T+\left(\rho_1-1\right)(t-\alpha-\beta)+2\rho_1}{\Lambda\left(\rho_1-1\right)\Gamma(1-\gamma)\Gamma(\beta-1)\Gamma(\alpha)}\times\\ &\; (T+\alpha+\beta-\gamma+1-\sigma(s))^{\underline{-\gamma}}(s-\sigma(r))^{\underline{\beta-2}} (r-\sigma(\xi))^{\underline{\alpha-1}}. \end{align} | (3.4) |
By Lemma 2.3, we find that any solution of the problem (1.4) is the fixed point of the operator {\mathcal{F}} .
Lemma 3.2. Assume that the function {\mathcal{A}}_{\alpha, \beta, \gamma, \rho_1, \rho_2}(t, s, r, \xi) satisfies the following properties:
(A5) {\mathcal{A}}_{\alpha, \beta, \gamma, \rho_1, \rho_2}(t, s, r, \xi) is a continuous function for all (t, s, r, \xi)\in {\mathbb{N}}_{\alpha+\beta-2, T+\alpha+\beta}\times{\mathbb{N}}_{\alpha+\beta-2, T+\alpha+\beta}\times{\mathbb{N}}_{\alpha-1, T+\alpha+1}\times {\mathbb{N}}_{0, T+2} = :\mathcal{D} , and there exist two constants \; \Omega_1, \Omega_2 > 0 , such that
\begin{align*} \sum\limits_{s = \alpha+\beta-1}^{T+\alpha+\beta}\sum\limits_{r = \alpha}^{s-\beta+1}\sum\limits_{\xi = 0}^{r-\alpha}\Big| {\mathcal{A}}_{\alpha,\beta,\gamma,\rho_1,\rho_2}(t,s,r,\xi)\Big|\leq &\; \Omega_1,\\ \sum\limits_{s = \alpha+\beta-1}^{T+\alpha+\beta}\sum\limits_{r = \alpha}^{s-\beta+1}\sum\limits_{\xi = 0}^{r-\alpha} \Big|\,_t\Delta_C^{\nu}\,{\mathcal{A}}_{\alpha,\beta,\gamma,\rho_1,\rho_2}(t,s,r,\xi)\Big|\leq &\; \Omega_2, \end{align*} |
where
\begin{align} \Omega_1: = &\; \left[\frac{\left(1+|\rho_1-1|\right)T+2p_1}{|\rho_1-1||\Lambda|}\right]\frac{\Gamma(T+\gamma+3)\Gamma(T+\alpha+\beta+1)}{\Gamma(2-\gamma)\Gamma(\alpha+\beta)[\Gamma(T+2)]^2} , \end{align} | (3.5) |
\begin{align} \Omega_2: = &\; \left|\frac{1-\alpha-\beta}{\Lambda} \right| \frac{\Gamma(T-\gamma+3)[\Gamma(T+\alpha+\beta+1)]^2}{ \Gamma(2-\nu) \Gamma(2-\gamma)\Gamma(\alpha+\beta) [\Gamma(T+2)]^2\Gamma(T+\alpha+\beta-\nu)}, \end{align} | (3.6) |
and \; _t\Delta_C^{\nu}\; is the Caputo fractional difference with respect to t .
Proof. It is obvious that {\mathcal{A}}_{\alpha, \beta, \gamma, \rho_1, \rho_2}(t, s, r, \xi) is a continuous function for all (t, s, r, \xi)\in {\mathcal{D}} . Next, we consider
\begin{align*} & \sum\limits_{s = \alpha+\beta-1}^{T+\alpha+\beta}\sum\limits_{r = \alpha}^{s-\beta+1}\sum\limits_{\xi = 0}^{r-\alpha} \big|\,{\mathcal{A}}_{\alpha,\beta,\gamma,\rho_1,\rho_2}(t,s,r,\xi)\,\big|\nonumber\\ \leq&\; \max\limits_{t\in {\mathbb{N}}_{\alpha+\beta-2,T+\alpha+\beta}}\, \sum\limits_{s = \alpha+\beta-1}^{T+\alpha+\beta}\sum\limits_{r = \alpha}^{s-\beta+1}\sum\limits_{\xi = 0}^{r-\alpha} \big|\,{\mathcal{A}}_{\alpha,\beta,\gamma,\rho_1,\rho_2}(t,s,r,\xi)\,\big|\nonumber\\ = &\; \max\limits_{t\in {\mathbb{N}}_{\alpha+\beta-2,T+\alpha+\beta}}\,\Bigg|\, \frac{T+\left(\rho_1-1\right)(t-\alpha-\beta)+2\rho_1}{\Lambda\left(\rho_1-1\right)\Gamma(1-\gamma)\Gamma(\beta-1) \Gamma(\alpha)}\,\Bigg|\times\nonumber \\ &\; \sum\limits_{s = \alpha+\beta-1}^{T+\alpha+\beta}\sum\limits_{r = \alpha}^{s-\beta+1}\sum\limits_{\xi = 0}^{r-\alpha} \\ &(T+\alpha+\beta-\gamma+1-\sigma(s))^{\underline{-\gamma}}(s-\sigma(r))^{\underline{\beta-2}}(r-\sigma(\xi))^{\underline{\alpha-1}}\\ \leq&\; \left[\frac{\left(1+|\rho_1-1|\right)T+2p_1}{|\rho_1-1||\Lambda|}\right] \\ &\sum\limits_{s = \alpha+\beta-1}^{T+\alpha+\beta}\sum\limits_{r = \alpha}^{s-\beta+1}\sum\limits_{\xi = 0}^{r-\alpha} (T+\alpha+\beta-\gamma+1-\sigma(s))^{\underline{-\gamma}}(s-\sigma(r))^{\underline{\beta-2}}(r-\sigma(\xi))^{\underline{\alpha-1}}\\ \leq&\; \left[\frac{\left(1+|\rho_1-1|\right)T+2p_1}{|\rho_1-1||\Lambda|}\right] \\ & \frac{\Gamma(T+\gamma+3)\Gamma(T+\alpha+\beta+1)}{\Gamma(T+2)\Gamma(T+2)\Gamma(2-\gamma)\Gamma(\alpha+\beta)}\; = \; \Omega_1, \end{align*} |
and
\begin{align*} \sum\limits_{s = \alpha+\beta-1}^{T+\alpha+\beta}\sum\limits_{r = \alpha}^{s-\beta+1}\sum\limits_{\xi = 0}^{r-\alpha}& \big|\,_t\Delta_C^{\nu}\,{\mathcal{A}}_{\alpha,\beta,\gamma,\rho_1,\rho_2}(t,s,r,\xi)\,\big|\nonumber\\ \leq&\; \max\limits_{t\in {\mathbb{N}}_{\alpha+\beta-2,T+\alpha+\beta}}\, \\ &\sum\limits_{s = \alpha+\beta-1}^{T+\alpha+\beta}\sum\limits_{r = \alpha}^{s-\beta+1}\sum\limits_{\xi = 0}^{r-\alpha} \big|\,_t\Delta_C^{\nu}\,{\mathcal{A}}_{\alpha,\beta,\gamma,\rho_1,\rho_2}(t,s,r,\xi)\,\big|\nonumber\\ = &\; \max\limits_{t\in {\mathbb{N}}_{\alpha+\beta-2,T+\alpha+\beta}}\,\\ &\Bigg|\frac{ \sum\limits_{s = \alpha+\beta-2}^{t+\nu-1}(t-\sigma(s))^{\underline{-\nu}} {_s}\Delta \left[ T+(\rho_1-1)(s-\alpha-\beta)+2\rho_1 \right] }{\Lambda\Gamma(1-\nu)\Gamma(1-\gamma)\Gamma(\beta-1)\Gamma(\alpha)}\Bigg|\times\\ &\; \sum\limits_{s = \alpha+\beta-1}^{T+\alpha+\beta}\sum\limits_{r = \alpha}^{s-\beta+1}\sum\limits_{\xi = 0}^{r-\alpha} \\ &(T+\alpha+\beta-\gamma+1-\sigma(s))^{\underline{-\gamma}}(s-\sigma(r))^{\underline{\beta-2}}(r-\sigma(\xi))^{\underline{\alpha-1}}\nonumber \\ \leq&\; \Bigg|\frac{ \sum\limits_{s = \alpha+\beta-2}^{T+\alpha+\beta+\nu-1}(T+\alpha+\beta-\sigma(s))^{\underline{-\nu}}(1-\alpha-\beta)}{\Lambda\Gamma(1-\nu)}\Bigg| \\ & \,\frac{\Gamma(T-\gamma+3)\Gamma(T+\alpha+\beta+1)}{[\Gamma(T+2)]^2\Gamma(2-\gamma)\Gamma(\alpha+\beta)}\nonumber \\ \leq&\; \left|\frac{1-\alpha-\beta}{\Lambda} \right| \\ &\frac{\Gamma(T-\gamma+3)[\Gamma(T+\alpha+\beta+1)]^2}{ \Gamma(2-\nu) \Gamma(2-\gamma)\Gamma(\alpha+\beta) [\Gamma(T+2)]^2\Gamma(T+\alpha+\beta-\nu)}\; = \; \Omega_2. \end{align*} |
Thus, the condition \textbf{(A5)} holds.
In what follows, we consider the existence and uniqueness of a solution to the problem (1.4) using the Banach contraction principle.
Theorem 3.1. Assume that (A1)–(A5) hold. If
\begin{equation} \Theta \big[\, \Omega_1+\Omega_2+\phi_1+\phi_2 \,\big]\; < \; 1, \end{equation} | (3.7) |
where \Omega_1, \Omega_2 are defined as (3.5)–(3.6), and
\begin{align} \phi_1 = &\left[\frac{1+|\rho_1-1|}{|\rho_1-1|}\right] \frac{\Gamma(T+\alpha+\beta+1)}{\Gamma(T+1)\Gamma(\alpha+\beta+1)}, \end{align} | (3.8) |
\begin{align} \phi_2 = &\frac{\Gamma(T+2)\Gamma(T+\alpha+\beta+\nu)} {\Gamma(2-\nu)\Gamma(\alpha+\beta+\nu+1)\left[\Gamma(T+\nu+1)\right]^2}, \end{align} | (3.9) |
then, the problem (1.4) has a unique solution in {\mathbb{N}}_{\alpha+\beta-2, T+\alpha+\beta}.
Proof. Choose a constant R satisfying
\begin{equation*} R\geq\frac{K_2 \big(\, \Omega_1+\Omega_2+\phi_1+\phi_2 \,\big) }{1-\Theta \big(\, \Omega_1+\Omega_2+\phi_1+\phi_2 \,\big) }. \end{equation*} |
We will show that {\mathcal{F}}(B_R)\subset B_R, where B_R = \{x \in \mathcal{C}: \|x\|_{\mathcal{C}} \leq R\} . For all x\in B_R, we have
\begin{align*} &|({\mathcal{F}}x)(t)| \nonumber\\ \leq&\; \sum\limits_{s = \alpha+\beta-1}^{T+\alpha+\beta}\sum\limits_{r = \alpha}^{s-\beta+1}\sum\limits_{\xi = 0}^{r-\alpha} \Big|\,{\mathcal{A}}_{\alpha,\beta,\gamma,\rho_1,\rho_2}(t,s,r,\xi)\,\Big|\,\\ &\Big(\big| {\widetilde{\mathcal{H}}}[\xi+\alpha+\beta-1,x(\xi+\alpha+\beta-1)]\nonumber \\ &\; \; \; -{\widetilde{\mathcal{H}}}[\xi+\alpha+\beta-1,0]\big| +\big|{\widetilde{\mathcal{H}}}[\xi+\alpha+\beta-1,0] \big|\Big) \nonumber \\ &\; +\Bigg|\,\frac{1}{\left|\rho_1-1\right|\Gamma(\beta)\Gamma(\alpha)}\\ &\sum\limits_{s = \alpha}^{T+\alpha}\sum\limits_{\xi = 0}^{s-\alpha} (T+\alpha+\beta-\sigma(s))^{\underline{\beta-1}}(s-\sigma(\xi))^{\underline{\alpha-1}}\times \nonumber \\ &\; \; \; \; \Big(\big| {\widetilde{\mathcal{H}}}[\xi+\alpha+\beta-1,x(\xi+\alpha+\beta-1)]-\\ &{\widetilde{\mathcal{H}}}[\xi+\alpha+\beta-1,0]\big| +\big|{\widetilde{\mathcal{H}}}[\xi+\alpha+\beta-1,0] \big|\Big) \nonumber \\ &\; +\frac{1}{\Gamma(\beta)\Gamma(\alpha)}\sum\limits_{s = \alpha}^{t-\beta}\sum\limits_{\xi = 0}^{s-\alpha}(t-\sigma(s))^{\underline{\beta-1}}(s-\sigma(\xi))^{\underline{\alpha-1}}\\ &\Big(\big| {\widetilde{\mathcal{H}}}[\xi+\alpha+\beta-1,x(\xi+\alpha+\beta-1)]\\ &\; \; \; \; -{\widetilde{\mathcal{H}}}[\xi+\alpha+\beta-1,0]\big| +\big|{\widetilde{\mathcal{H}}}[\xi+\alpha+\beta-1,0] \big|\Big) \,\Bigg|\\ \leq&\; \left(\Theta\|x\|_{\mathcal{C}}+K_2\right)\,\Omega_1 +\left(\Theta\|x\|_{\mathcal{C}}+K_2\right)\,\left(\frac{1+|\rho_1-1|}{\Gamma(\beta)\Gamma(\alpha)\,|\rho_1-1|}\right)\times\nonumber \\ &\; \,\sum\limits_{s = \alpha}^{T+\alpha}\sum\limits_{\xi = 0}^{s-\alpha} (T+\alpha+\beta-\sigma(s))^{\underline{\beta-1}}(s-\sigma(\xi))^{\underline{\alpha-1}}\\ \leq&\; \left(\Theta\,\|x\|_{\mathcal{C}}+K_2\right) \Bigg\{ \Omega_1+\left(\frac{1+|\rho_1-1|}{|\rho_1-1|}\right) \frac{\Gamma(T+\alpha+\beta+1)}{\Gamma(T+1)\Gamma(\alpha+\beta+1)} \Bigg\}\\ \leq&\; \left(\Theta\,R+K_2\right)\big[\,\Omega_1+\phi_1\,\big], \end{align*} |
and
\begin{align*} &|(\Delta^\nu_C {\mathcal{F}}x)(t-\nu+1)| \\ \leq&\; \sum\limits_{s = \alpha+\beta-1}^{T+\alpha+\beta}\sum\limits_{r = \alpha}^{s-\beta+1}\sum\limits_{\xi = 0}^{r-\alpha} \big|_t\Delta^\nu_C\,{\mathcal{A}}_{\alpha,\beta,\gamma,\rho_1,\rho_2}(t,s,r,\xi)\big|\,\\ &\Big(\big| {\widetilde{\mathcal{H}}}[\xi+\alpha+\beta-1,x(\xi+\alpha+\beta-1)]\nonumber \\ &\; \; \; -{\widetilde{\mathcal{H}}}[\xi+\alpha+\beta-1,0]\big| +\big|{\widetilde{\mathcal{H}}}[\xi+\alpha+\beta-1,0] \big|\Big) \nonumber \\ & +\frac{1}{\Gamma(1-\nu)\Gamma(\beta)\Gamma(\alpha)}\sum\limits_{s = \alpha+\beta-2}^{t+\nu-1} (t-\sigma(s))^{\underline{-\nu}}\Delta_s\,\Bigg[\sum\limits_{r = \alpha}^{s-\beta}\sum\limits_{\xi = 0}^{r-\alpha}(s-\sigma(r))^{\underline{\beta-1}}\times\\ &\; \; \; (r-\sigma(\xi))^{\underline{\alpha-1}}\,\Big(\big| {\widetilde{\mathcal{H}}}[\xi+\alpha+\beta-1,x(\xi+\alpha+\beta-1)]-{\widetilde{\mathcal{H}}}[\xi+\alpha+\beta-1,0]\big|\nonumber \\ &\; \; \; +\big|{\widetilde{\mathcal{H}}}[\xi+\alpha+\beta-1,0] \big|\Big) \,\Bigg]\\ \leq&\; \left(\Theta\|x\|_{\mathcal{C}}+K_2\right)\,\Omega_2+\frac{\left(\Theta\|x\|_{\mathcal{C}}+K_2\right)}{\Gamma(1-\nu) \Gamma(\beta)\Gamma(\alpha)}\times\nonumber \\ & \sum\limits_{s = \alpha+\beta-1}^{T+\alpha+\beta+\nu-1} \sum\limits_{r = \alpha}^{s-\beta+1}\sum\limits_{\xi = 0}^{r-\alpha}(T+\alpha+\beta-\sigma(s))^{\underline{-\nu}}(s-\sigma(r))^{\underline{\beta-2}} (r-\sigma(\xi))^{\underline{\alpha-1}}\\ \leq&\; \left(\Theta\|x\|_{\mathcal{C}}+K_2\right)\,\Bigg\{\Omega_2 + \frac{\Gamma(T+2)\Gamma(T+\alpha+\beta+\nu)} {\Gamma(2-\nu)\Gamma(\alpha+\beta+\nu+1)\left[\Gamma(T+\nu+1)\right]^2} \Bigg\}\nonumber \\ \leq&\; \left(\Theta R+K_2\right)\,\big[\,\Omega_2+\phi_2\,\big].\nonumber \end{align*} |
Thus,
\| {\mathcal{F}}x \|_{\mathcal{C}}\; \leq\; \left(\Theta R+K_2\right)\,\big[\,\Omega_1+\Omega_2+\phi_1+\phi_2\,\big]\; \leq\; R, |
and hence, {\mathcal{F}}(B_R)\subset B_R .
We next show that \mathcal{F} is a contraction. For all x, y\in \mathcal{C} and for each t\in \mathbb{N}_{\alpha+\beta-2, T+\alpha+\beta} , we have
\begin{align*} &\; \big|({\mathcal{F}}x)(t)-({\mathcal{F}}y)(t)\big|\\ \leq&\; \sum\limits_{s = \alpha+\beta-1}^{T+\alpha+\beta}\sum\limits_{r = \alpha}^{s-\beta+1}\sum\limits_{\xi = 0}^{r-\alpha} \Big|\,{\mathcal{A}}_{\alpha,\beta,\gamma,\rho_1,\rho_2}(t,s,r,\xi)\,\Big|\,\\ &\Big| \,{\widetilde{\mathcal{H}}}[\xi+\alpha+\beta-1,x(\xi+\alpha+\beta-1)]\\ &\; -{\widetilde{\mathcal{H}}}[\xi+\alpha+\beta-1,y(\xi+\alpha+\beta-1)] \,\Big| \nonumber \\ &\; +\frac{1}{\left|\rho_1-1\right|\Gamma(\beta)\Gamma(\alpha)}\sum\limits_{s = \alpha}^{T+\alpha}\sum\limits_{\xi = 0}^{s-\alpha} (T+\alpha+\beta-\sigma(s))^{\underline{\beta-1}}(s-\sigma(\xi))^{\underline{\alpha-1}}\times \nonumber \\ &\; \; \; \; \Big| \,\\ &{\widetilde{\mathcal{H}}}[\xi+\alpha+\beta-1,x(\xi+\alpha+\beta-1)]-{\widetilde{\mathcal{H}}}[\xi+\alpha+\beta-1,y(\xi+\alpha+\beta-1)] \,\Big| \nonumber \\ &\; +\frac{1}{\Gamma(\beta)\Gamma(\alpha)}\sum\limits_{s = \alpha}^{t-\beta}\sum\limits_{\xi = 0}^{s-\alpha}(t-\sigma(s))^{\underline{\beta-1}}(s-\sigma(\xi))^{\underline{\alpha-1}}\\ &\Big| \,{\widetilde{\mathcal{H}}}[\xi+\alpha+\beta-1,x(\xi+\alpha+\beta-1)]\\ &\; -{\widetilde{\mathcal{H}}}[\xi+\alpha+\beta-1,y(\xi+\alpha+\beta-1)] \,\Big|\\ \leq&\; \sum\limits_{s = \alpha+\beta-1}^{T+\alpha+\beta}\sum\limits_{r = \alpha}^{s-\beta+1}\sum\limits_{\xi = 0}^{r-\alpha} \Big|\,\\ &{\mathcal{A}}_{\alpha,\beta,\gamma,\rho_1,\rho_2}(t,s,r,\xi)\,\Big|\,\Big| \,{\widetilde{\mathcal{H}}}[\xi+\alpha+\beta-1,x(\xi+\alpha+\beta-1)]\\ &\; -{\widetilde{\mathcal{H}}}[\xi+\alpha+\beta-1,y(\xi+\alpha+\beta-1)] \,\Big| \nonumber \\ &\; +\left(\frac{1+|\rho_1-1|}{\left|\rho_1-1\right|\Gamma(\beta)\Gamma(\alpha)}\right)\,\\ &\sum\limits_{s = \alpha}^{T+\alpha}\sum\limits_{\xi = 0}^{s-\alpha} (T+\alpha+\beta-\sigma(s))^{\underline{\beta-1}}(s-\sigma(\xi))^{\underline{\alpha-1}}\times \nonumber \\ &\; \; \; \; \,\Big| \,{\widetilde{\mathcal{H}}}[\xi+\alpha+\beta-1,x(\xi+\alpha+\beta-1)]-\\ &{\widetilde{\mathcal{H}}}[\xi+\alpha+\beta-1,y(\xi+\alpha+\beta-1)] \,\Big|\\ \leq&\; \Theta\,\|x-y\|_{\mathcal{C}}\Omega_1 +\Theta\,\|x-y\|_{\mathcal{C}}\left(\frac{1+|\rho_1-1|}{\left|\rho_1-1\right|\Gamma(\beta)\Gamma(\alpha)}\right)\times\nonumber \\ &\; \sum\limits_{s = \alpha}^{T+\alpha}\sum\limits_{\xi = 0}^{s-\alpha} (T+\alpha+\beta-\sigma(s))^{\underline{\beta-1}}(s-\sigma(\xi))^{\underline{\alpha-1}}\nonumber \\ \leq&\; \Theta\,\big[\,\Omega_1+\phi_1\,\big]\,\|x-y\|_{\mathcal{C}}, \end{align*} |
and
\begin{align*} &\; |(\Delta^\nu_C {\mathcal{F}}x)(t-\nu+1)| \\ \leq&\; \sum\limits_{s = \alpha+\beta-1}^{T+\alpha+\beta}\sum\limits_{r = \alpha}^{s-\beta+1}\sum\limits_{\xi = 0}^{r-\alpha} \big|_t\Delta^\nu_C\,{\mathcal{A}}_{\alpha,\beta,\gamma,\rho_1,\rho_2}(t,s,r,\xi)\big|\,\\ &\Big| \,{\widetilde{\mathcal{H}}}[\xi+\alpha+\beta-1,x(\xi+\alpha+\beta-1)]\\ &\; -{\widetilde{\mathcal{H}}}[\xi+\alpha+\beta-1,y(\xi+\alpha+\beta-1)] \,\Big|\nonumber \\ & \; +\frac{1}{\Gamma(1-\nu)\Gamma(\beta)\Gamma(\alpha)}\,\sum\limits_{s = \alpha+\beta-1}^{t+\nu-1} \\ & \sum\limits_{r = \alpha}^{s-\beta+1}\sum\limits_{\xi = 0}^{r-\alpha}(t-\sigma(s))^{\underline{-\nu}}(s-\sigma(r))^{\underline{\beta-2}} (r-\sigma(\xi))^{\underline{\alpha-1}}\times\\ &\; \; \; \; \Big| \,{\widetilde{\mathcal{H}}}[\xi+\alpha+\beta-1,x(\xi+\alpha+\beta-1)]-\\ &{\widetilde{\mathcal{H}}}[\xi+\alpha+\beta-1,y(\xi+\alpha+\beta-1)] \,\Big|\\ \leq&\; \Theta\,\|x-y\|_{\mathcal{C}} \,\Omega_2+\Theta\,\|x-y\|_{\mathcal{C}}\,\frac{1}{\Gamma(1-\nu)\Gamma(\beta)\Gamma(\alpha)}\times\nonumber \\ & \; \sum\limits_{s = \alpha+\beta-1}^{T+\alpha+\beta+\nu-1} \sum\limits_{r = \alpha}^{s-\beta+1}\sum\limits_{\xi = 0}^{r-\alpha}(T+\alpha+\beta-\sigma(s))^{\underline{-\nu}}(s-\sigma(r))^{\underline{\beta-2}} (r-\sigma(\xi))^{\underline{\alpha-1}}\\ \leq&\; \Theta\,\big[\,\Omega_2+\phi_2\,\big]\,\|x-y\|_{\mathcal{C}}. \end{align*} |
Thus,
\begin{equation} \nonumber \|{\mathcal{F}}x-{\mathcal{F}}y\|_{\mathcal{C}}\leq \Theta\,\big[\,\Omega_1+\Omega_2+\phi_1+\phi_2\,\big]\,\|x-y\|_{\mathcal{C}}\leq \|x-y\|_{\mathcal{C}}. \end{equation} |
Therefore, {\mathcal{F}} is a contraction. Hence, by using Banach fixed point theorem, we get that {\mathcal{F}} has a fixed point which is a unique solution of the problem (1.4).
We next deduce the existence of a solution to (1.4) by using the following Schaefer's fixed point theorem.
Theorem 3.2. [45] (Arzelá-Ascoli Theorem) A set of functions in C[a, b] with the sup norm is relatively compact if and only if it is uniformly bounded and equicontinuous on [a, b] .
Theorem 3.3. [45] If a set is closed and relatively compact, then it is compact.
Theorem 3.4. [46] Let X be a Banach space and T: X\rightarrow X be a continuous and compact mapping. If the set
\{x\in X\; :\; x = \lambda T(x),\; {{for \;some}}\; \lambda\in(0, 1) \} |
is bounded, then T has a fixed point.
Theorem 3.5. Suppose that (A1)–(A5) hold. Then, the problem (1.4) has at least one solution on \mathbb{N}_{\alpha+\beta-2, T+\alpha+\beta} .
Proof. We shall use Schaefer's fixed point theorem to prove that the operator F defined by (3.3) has a fixed point. It is clear that {\mathcal{F}}:\mathcal{C}\longrightarrow\mathcal{C} is completely continuous. So, it remains to show that the set
E = \Big\lbrace u\in C({\mathbb{N}}_{\alpha+\beta-2,T+\alpha+\beta}):u = \lambda {\mathcal{F}}u\; {\rm{for \;some\; }} 0 < \lambda < 1\Big\rbrace \rm{\; \; is \;bounded.} |
Let u\in E . Then,
u(t) = \lambda (Fu)(t)\; {\rm{\; \; for \;some\; }}\;0 < \lambda < 1. |
Thus, for each t\in {\mathbb{N}}_{\alpha+\beta-2, T+\alpha+\beta} , we have
\begin{align*} &|\lambda({\mathcal{F}}x)(t)| \nonumber\\ \leq&\; \lambda\sum\limits_{s = \alpha+\beta-1}^{T+\alpha+\beta}\sum\limits_{r = \alpha}^{s-\beta+1}\sum\limits_{\xi = 0}^{r-\alpha} \Big|\,{\mathcal{A}}_{\alpha,\beta,\gamma,\rho_1,\rho_2}(t,s,r,\xi)\,\\ &\Big|\big| {\widetilde{\mathcal{H}}}[\xi+\alpha+\beta-1,x(\xi+\alpha+\beta-1)]\big| \nonumber \\ &\; +\frac{\lambda}{\left|\rho_1-1\right|\Gamma(\beta)\Gamma(\alpha)}\sum\limits_{s = \alpha}^{T+\alpha}\sum\limits_{\xi = 0}^{s-\alpha} (T+\alpha+\beta-\sigma(s))^{\underline{\beta-1}}(s-\sigma(\xi))^{\underline{\alpha-1}}\times\\ &\; \; \; \; \; \big| {\widetilde{\mathcal{H}}}[\xi+\alpha+\beta-1,x(\xi+\alpha+\beta-1)]\big| \nonumber \\ &\; +\frac{\lambda}{\Gamma(\beta)\Gamma(\alpha)} \sum\limits_{s = \alpha}^{t-\beta}\sum\limits_{\xi = 0}^{s-\alpha}(t-\sigma(s))^{\underline{\beta-1}} \\ & (s-\sigma(\xi))^{\underline{\alpha-1}}\,\big| {\widetilde{\mathcal{H}}}[\xi+\alpha+\beta-1,x(\xi+\alpha+\beta-1)]\big|\\ < &\; \left(\Theta\,R+K_2\right)\big[\,\Omega_1+\phi_1\,\big], \end{align*} |
and
\begin{align*} &|\lambda(\Delta^\nu_C {\mathcal{F}}x)(t-\nu+1)| \\ \leq&\; \lambda\sum\limits_{s = \alpha+\beta-1}^{T+\alpha+\beta}\sum\limits_{r = \alpha}^{s-\beta+1}\sum\limits_{\xi = 0}^{r-\alpha} \big|_t\Delta^\nu_C\,{\mathcal{A}}_{\alpha,\beta,\gamma,\rho_1,\rho_2}(t,s,r,\xi)\big|\,\\ &\big| {\widetilde{\mathcal{H}}}[\xi+\alpha+\beta-1,x(\xi+\alpha+\beta-1)]\big|\nonumber \\ & +\frac{\lambda}{\Gamma(1-\nu)\Gamma(\beta)\Gamma(\alpha)}\sum\limits_{s = \alpha+\beta-2}^{t+\nu-1} (t-\sigma(s))^{\underline{-\nu}}\Delta_s\,\\ &\Bigg[\sum\limits_{r = \alpha}^{s-\beta}\sum\limits_{\xi = 0}^{r-\alpha}(s-\sigma(r))^{\underline{\beta-1}}\times\\ &\; \; \; (r-\sigma(\xi))^{\underline{\alpha-1}}\,\big| {\widetilde{\mathcal{H}}}[\xi+\alpha+\beta-1,x(\xi+\alpha+\beta-1)]\big|\,\Bigg]\\ < &\; \left(\Theta R+K_2\right)\,\big[\,\Omega_2+\phi_2\,\big].\nonumber \end{align*} |
Hence,
\big\|\lambda({\mathcal{F}}x)(t)\big\|\; < \; {\widetilde{\Theta}}_{R}\,\big[\,\Omega_1+\Omega_2+\phi_1+\phi_2\,\big]\; < \; R. |
This shows that E is bounded. By Schaefer's fixed point theorem, we conclude that the problem (1.4) has at least one solution.
In the sequel, we discuss the positivity of the obtained solution x\in\mathcal{C} . To this end, we add adequate assumptions and provide the following theorem.
We note that a positive solution of (1.4) in \mathcal{C} is a function x(t) > 0 which has \Delta^\nu_C\, x(t-\nu+1) > 0 for all t\in {\mathbb{N}}_{\alpha+\beta-2, T+\alpha+\beta} .
Theorem 3.6. Suppose that (A1)–(A5) are fulfilled in {\mathbb{R}^+} , where \; \mathcal{H}\in C\big({\mathbb{N}}_{\alpha+\beta-2, T+\alpha+\beta} \times {\mathbb{R}}^+\times {\mathbb{R}}^+\times {\mathbb{R}}^+, \mathbb{R}^{+}\big)\; and \; \varphi \in C\big(\odot\times {\mathbb{R}^{+}}\times {\mathbb{R}^{+}}, {\mathbb{R}}^{+}\big) . If condition (3.7) is satisfied, for \; \alpha, \beta, \gamma, \nu, \mu \in (0, 1), and in addition
\rho_1 > 1 \; \; {{and}}\; \; \rho_2 > \frac{\Gamma(T+\gamma+4)}{\Gamma(2-\gamma)\Gamma(T+3)}, |
then a solution in \mathcal{C} of the problem (1.4) is positive.
Proof. By Theorem 3.1 and the fact that, for \; \rho_1 > 1 \; \; \rm{and}\; \; \rho_2 > \frac{\Gamma(T+\gamma+4)}{\Gamma(2-\gamma)\Gamma(T+3)} , the condition (3.7) is a particular case, the problem (1.4) admits a unique solution in \mathcal{C} .
Moreover, since \; \alpha, \beta, \gamma, \nu, \mu \in (0, 1) , we obtain for each (t, s, r, \xi)\in {\mathcal{D}} ,
\begin{align*} {\mathcal{A}}_{\alpha,\beta,\gamma,\rho_1,\rho_2}(t,s,r,\xi) = &\; \Bigg[ \frac{ T+(\rho_1-1)(t-\alpha-\beta)+2\rho_1}{(\rho_1-1)\left(\rho_2-\frac{\Gamma(T+\gamma+4)}{\Gamma(2-\gamma)\Gamma(T+3)}\right)\Gamma(1-\gamma)\Gamma(\beta)\Gamma(\alpha)}\Bigg] \times\\ &\; \; (T+\alpha+\beta-\gamma+1-\sigma(s))^{\underline{-\gamma}}(s-\sigma(r))^{\underline{\beta-2}}(r-\sigma(\xi))^{\underline{\alpha-1}}\; > \; 0, \end{align*} |
and
\begin{align*} &\; _t\Delta_C^{\nu}\,{\mathcal{A}}_{\alpha,\beta,\gamma,\rho_1,\rho_2}(t,s,r,\xi)\nonumber\\ = &\; \sum\limits_{s = \alpha+\beta-2}^{t+\nu-1} \Bigg[ \frac{(t-\sigma(s))^{\underline{-\nu}}(s-\alpha-\beta) }{\left(\rho_2-\frac{\Gamma(T+\gamma+4)}{\Gamma(2-\gamma)\Gamma(T+3)}\right)\Gamma(1-\nu)\Gamma(1-\gamma)\Gamma(\beta)\Gamma(\alpha)}\Bigg]\times\\ &\; \; (T+\alpha+\beta-\gamma+1-\sigma(s))^{\underline{-\gamma}}(s-\sigma(r))^{\underline{\beta-2}}(r-\sigma(\xi))^{\underline{\alpha-1}}\; > \; 0. \end{align*} |
It results that the unique solution x(t) of problem (1.4) which satisfies with (3.3) is positive for each t\in {\mathbb{N}}_{\alpha+\beta-2, T+\alpha+\beta} .
In this section, we present an example to illustrate our results.
Example. Consider the following fractional difference boundary value problem:
\begin{align} {^C}\Delta^{\frac{2}{3}}_{\frac{2}{3}}\,{^C}\Delta^{\frac{5}{6}}_{\frac{1}{2}}x(t) = &\frac{x\left(t+\frac{1}{2}\right)}{\left((t+\frac{1}{2})+5\right)^5\big[1+|x\left(t+\frac{1}{2}\right)|\big]} +\\ &\frac{{^C}\Delta^{\frac{1}{2}}_{\frac{1}{2}} x\left(t-1\right)}{\left((t+\frac{1}{2})+5\right)^5\big[1+|{^C}\Delta^{\frac{1}{2}}_{\frac{1}{2}} x\left(t-1\right)|\big]}\; \; \\ &+\Psi^{\frac{1}{4}}\left(t+\frac{1}{2},x\left( t+\frac{1}{2}\right) \right),\quad t\in N_{0,4},\\ 2x\left(-\frac{1}{2}\right) = &\; x\left(\frac{11}{2}\right),\; \; \; \; \; 20\Delta^{\frac{1}{3}}x\left(\frac{1}{6}\right) = \Delta^{\frac{1}{3}}x\left(\frac{37}{6}\right), \end{align} | (4.1) |
\begin{array}{l} {\rm{where\; \; \; }}\;\Psi^{\frac{1}{4}}\left(t+\frac{1}{2},x\left( t+\frac{1}{2}\right) \right) =\\ \sum\limits_{s = -\frac{3}{4}}^{t-\frac{1}{4}}\frac{(t-\sigma(s))^{-\frac{3}{4}}}{\Gamma\left(\frac{1}{4}\right)}\Bigg[\frac{e^{-(s+\frac{1}{4})}\big[x\left(s+\frac{1}{4}\right)+1\big]}{\left((t+\frac{1}{2})+5\right)^2\big[3+|x(s+\frac{1}{4})|\big]} \\ + \frac{e^{-(s+\frac{1}{4})}\big[{^C}\Delta^{\frac{1}{2}}_{-\frac{1}{2}} x\left(s+\frac{3}{4}\right)+1\big]}{\left((t+\frac{1}{2})+5\right)^2\big[3+|{^C}\Delta^{\frac{1}{2}}_{-\frac{1}{2}} x(s+\frac{3}{4})|\big]}\Bigg]. \end{array} |
By letting \; \alpha = \frac{2}{3}, \; \beta = \frac{5}{6}, \; \gamma = \frac{1}{3}, \; \nu = \frac{1}{2}, \; \mu = \frac{1}{4}, \; T = 4, \; \rho_1 = 2, \; \rho_2 = 20 , {\mathcal{H}}[t, x, y, z] = \frac{1}{(t+5)^5}\left[\frac{x}{1+|x|} + \frac{y}{1+|y|} + z \right] {\rm{\; and }}\; \varphi[t+\frac{1}{2}, s+\frac{1}{4}, x, y] = \frac{e^{-s}}{(t+5)^2}\left[\frac{x+1}{3+|x|} + \frac{y+1}{3+|y|} \right], we can show that
\Lambda\approx16.0098,\; \; \Theta\approx0.000199,\; \; {\Omega_1\approx35.0489,\; \; \Omega_2\approx19.7664},\\ \Phi_1\approx18.0469{\rm{\; \; \; and \; \; }}\;\Phi_2\approx2.9653. |
Observe that (A1)–(A5) hold for all x_i, y_i, z_i\in \mathbb{R}, \; i = 1, 2 , and for each t\in \mathbb{N}_{\frac{-1}{2}, \frac{11}{2}} , we obtain
\Big|{\mathcal{H}}[t,x_1,y_1,z_1]-{\mathcal{H}}[t,x_2,y_2,z_2]\Big|\leq \frac{1}{(t+5)^5}\Big[|x_1-x_2|+|y_1-y_2|+|z_1-z_2|\Big]. |
So, K_1 = \left(\frac{2}{11}\right)^5\approx 0.000199, \; and \; K_2 = \max\limits_{t\in \mathbb{N}_{\frac{-1}{2}, \frac{11}{2}}}{\widetilde{\mathcal{H}}[t, 0]}\approx0.0000394.
Next, for all x_i, y_i\in \mathbb{R}, \; i = 1, 2, and each (t, s)\in \mathbb{N}_{\frac{-1}{2}, \frac{11}{2}}\times \mathbb{N}_{\frac{-1}{2}, \frac{11}{2}} , we obtain
\Big|\varphi[t,s+\frac{3}{4},x_1,y_1]-{\mathcal{H}}[t,s+\frac{3}{4},x_2,y_2]\Big|\leq \frac{e^{-s}}{(t+5)^5}\Big[|x_1-x_2|+|y_1-y_2|\Big]. |
So, K_2 = e^{-\frac{1}{2}}\left(\frac{2}{11}\right)^5\approx 0.000121.
Finally, we can show that
\Theta\left[\Omega_1+\Omega_2+\Phi_1+\Phi_2\right]\approx {0.0151} < 1. |
Hence, by Theorem 3.1, the problem (4.1) has a unique solution.
Moreover, by Theorem 3.5, the problem (4.1) has at least one solution on \mathbb{N}_{\frac{-1}{2}, \frac{11}{2}} .
Furthermore, {\mathcal{H}}, \varphi \in {\mathbb{R}}^+, and
\; \rho_1 = 2 > 1,\; \; \rho_2 = 20 > \frac{\Gamma\left(\frac{25}{3}\right)}{\Gamma\left(\frac{5}{3}\right)\Gamma\left(7\right)}\approx 15.293. |
Therefore, the solution of the problem (4.1) is positive on \mathbb{N}_{\frac{-1}{2}, \frac{11}{2}} by Theorem 3.6.
In the present research, we considered a sequential nonlinear Caputo fractional sum-difference equation with fractional difference boundary conditions. Notice that the unknown function of this problem is in the form of Caputo fractional difference and fractional sum with different orders, which expands the research scope of the problems in [42,43,44]. Existence results are established by a Banach contraction principle and Schaefer's fixed point theorem. {The results of the paper are new and enrich the subject of boundary value problems for Caputo fractional difference-sum equations. In future work, we may extend this work by considering new boundary value problems.
This research was funded by the National Science, Research and Innovation Fund (NSRF) and Suan Dusit University with Contract no. 64-FF-06.
The authors declare no conflict of interest.
[1] | Z. Liu, L. Lang, B. Hu, L. Shi, B. Huang, Y. Zhao, Emission reduction decision of agricultural supply chain considering carbon tax and investment cooperation, J. Cleaner Prod., 294 (2021). |
[2] |
Y. Zhang, X. D. Chen, An optimization model for the vehicle routing problem in multi-product frozen food delivery, J. Appl. Res. Technol., 12 (2014), 239-250. doi: 10.1016/S1665-6423(14)72340-5
![]() |
[3] |
A. K. Beheshti, S. R. Hejazi, M. Alinaghian, The vehicle routing problem with multiple prioritized time windows: a case study, Comput. Ind. Eng., 90 (2015), 402-413. doi: 10.1016/j.cie.2015.10.005
![]() |
[4] |
C. Koc, T. Bektas, O. Jabali, G. Laporte, A hybrid evolutionary algorithm for heterogeneous fleet vehicle routing problems with time windows, Comput. Oper. Res., 64 (2015), 11-27. doi: 10.1016/j.cor.2015.05.004
![]() |
[5] |
R. K. Singh, A. Gunasekaran, P. Kumar, Third party logistics (3PL) selection for cold chain management: a fuzzy AHP and fuzzy TOPSIS approach, Ann. Oper. Res., 267 (2018), 531-553. doi: 10.1007/s10479-017-2591-3
![]() |
[6] |
S. Mejjaouli, R. F. Babiceanu, Cold supply chain logistics: system optimization for real-time rerouting transportation solutions, Comput. Ind., 98 (2018), 68-80. doi: 10.1016/j.compind.2018.02.001
![]() |
[7] | X. Ma, T. Liu, P. Yang, R. Jiang, Vehicle routing optimization model of cold chain logistics based on stochastic demand, J. Syst. Simul., 28 (2016), 1824-1832. |
[8] | J. Lu, S. Zhang, Route optimization of partitioned distribution of cold chain logistics based on spatiotemporal similarity measure, J. Shanghai Mari. Univ., 39 (2018), 32-37. |
[9] | C. Bao, S. Zhang, Route optimization of cold chain logistics in joint distribution: with consideration of carbon emission, Ind. Eng. Manage., 23 (2018), 95-107. |
[10] | S. Fan, D. Lou, Y. Sun, Optimization study on vehicle distribution routing of cold-chain logistics for fresh agricultural products, Stor. Proc., 17 (2017), 106-111. |
[11] | Y. Li, M. K. Lim, M. L. Tseng, A green vehicle routing model based on modified particle swarm optimization for cold chain logistics, Ind. Manage. Data Syst., 119 (2019) 473-494. |
[12] | W. Zhang, K. Liang, Optimization of cold-chain network nodes and delivery for fresh agricultural products, Syst. Eng., 35 (2017), 119-123. |
[13] | S. Bekir, S. Ahmet, Multi-Layer, Multi-segment iterative optimization for maritime supply chain operations in a dynamic fuzzy environment, IEEE Access, 8 (2020), 144993-145005. |
[14] | Y. Zhou, Y. Ji, H. Yang, K. Yu, Optimization of vehicle routing problem with simultaneous delivery and pickup for cold-chain logistics, Math. Pract. Theory, 46 (2016), 18-26. |
[15] | R. Zhang, Q. Liu, CO2 Emission minimizing for the time-dependent VRP in urban area, Ind. Eng. Manage., 20 (2015), 29-34. |
[16] | Z. Wang, J. Lu, Optimizing the distribution path of low-carbon cold chain logistics vehicles, Sci. Tech. Manage. Res., 17 (2017), 228-232. |
[17] | X. Ge, H. Zhang, Study on the optimization of vehicle routing problem in urban real time traffic network, Ind. Eng. Manage., 23 (2018), 140-156. |
[18] | Z. Zeng, C. Zou, J. Wei, H. Lu, E. Lv, Q. Ruan, Optimization of distribution cost model of cold chain logistics for litchi based on ant colony algorithm, Packag. Eng., 40 (2019), 58-65. |
[19] | C. Liang, Q. Zou, Research on vehicle routing problem with temperature variable in cold chain logistics, J. Guangxi. Univ., 42 (2017), 1802-1809. |
[20] | S. Cao, Y. Chen, C. Chen, C. Hua, Ocean catches cold chain distribution based on multi-objective optimization, J. Beijing Jiaotong Univ., 41 (2017), 34-38. |
[21] | Z. Huang, Research on optimization of urban cold chain logistics distribution path based on genetic algorithm, Manage. Adm., 8 (2018), 97-101. |
[22] | J. Shao, Q. Cao, M. Chen, Y. Sun, Research on multi-objective optimization for fresh agricultural products VRP problem, Ind. Eng. Manage., 20 (2015), 122-134. |