It is undeniable that the agri-food system is one of the greatest waste-producing sectors, with the inevitable generation of a certain quantity of scraps due to processing at an industrial level. Circular economy may offer a valid solution to overcome this problem, but the application of the model requires the availability of reliable data about quality and quantity of waste, which are currently missing. For this purpose, the objective of this paper is to address the issue of waste generation in the agri-food industry using a survey questionnaire. In-depth interviews were conducted with the owners or the technicians of selected case studies from the Marche region agri-food sector. Then, mass balance was applied based on primary data collected during the interviews. Moreover, to explore the potentiality of the circular model for the development of a regional agri-food sector, barriers, opportunities and services were also investigated. Results identified the vegetable and olive oil transformation as the most impacting in terms of quantities of waste produced. Food business operators currently find it difficult to give a proper definition of circular economy and envision the implementation of the model soon. However, they are also very enthusiastic and positive in finding alternative solutions to recover the waste. A great support could be provided by establishing a regional database for waste qualification and quantification. This work could be useful for policy makers, helping to understand the hurdles that agribusiness entrepreneurs shall face in this economic transition.
Citation: Giulia Chiaraluce, Deborah Bentivoglio, Adele Finco. The circular economy model in the agri-food sector: A new strategy for the regional development[J]. AIMS Agriculture and Food, 2023, 8(3): 851-872. doi: 10.3934/agrfood.2023045
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It is undeniable that the agri-food system is one of the greatest waste-producing sectors, with the inevitable generation of a certain quantity of scraps due to processing at an industrial level. Circular economy may offer a valid solution to overcome this problem, but the application of the model requires the availability of reliable data about quality and quantity of waste, which are currently missing. For this purpose, the objective of this paper is to address the issue of waste generation in the agri-food industry using a survey questionnaire. In-depth interviews were conducted with the owners or the technicians of selected case studies from the Marche region agri-food sector. Then, mass balance was applied based on primary data collected during the interviews. Moreover, to explore the potentiality of the circular model for the development of a regional agri-food sector, barriers, opportunities and services were also investigated. Results identified the vegetable and olive oil transformation as the most impacting in terms of quantities of waste produced. Food business operators currently find it difficult to give a proper definition of circular economy and envision the implementation of the model soon. However, they are also very enthusiastic and positive in finding alternative solutions to recover the waste. A great support could be provided by establishing a regional database for waste qualification and quantification. This work could be useful for policy makers, helping to understand the hurdles that agribusiness entrepreneurs shall face in this economic transition.
Nowadays, fractional calculus (FC) is a very important field in applied mathematics. Fractional differential equations, as an important part of FC, have been invented by mathematicians as a pure branch of mathematics. As a result, FC has been rapidly developed and has many important applications in various applied sciences. Some models involving with fractional order are more realistic and practical than previous integer-order models [1,2,3,4,5]. More recent developments on fractional differential equations can be found in [6,7,8,9,10] and the references therein. In a large part of the literature, many works involve either the Riemann-Liouville derivative or Caputo derivative. Besides, there is also one important concept of Hadamard fractional derivative (HFD for short), which was first introduced by Hadamard in 1892 [12]. For more information about the HFD and integral, see [13,14,15,16].
When solving numerous real-life problems, researchers always construct differential equations and discuss their properties. In fact, some systems, such as economics and biology, involve certain macro changes; in this case, instead of differential equations, differential inclusions are considered and they can describe the uncertainty of the system itself. Differential inclusion systems, as a meaningful model for describing uncertainty in human society, have attracted the enthusiasm and interest of many scholars. In addition, differential inclusions play an important role in various fields [11,12]. In this article, we are devoted to investigating fractional differential inclusion problems with Dirichlet boundary conditions. In research over the past few decades, mathematicians have been using many different methods and techniques to study fractional differential inclusion problems, and some good results concerning the solvability were obtained. For example, in [13], Benchohora and Ntouyas studied the solvability of a periodic boundary problem for first-order differential inclusions. Dhage [15] proved some existence theorems for hyperbolic differential inclusions in Banach algebras. Papageorgiou and Staicu studied second-order differential inclusions by establishing a method of upper-lower solutions in [16]. Moreover, Chang and Nieto extended the study to a fractional differential inclusion by using the Bohnenblust-Karlin's fixed point theorem in [17]. In addition, fractional differential inclusion for different types of single equations with some different boundary conditions was researched in [14].
The characterization of uncertainty in differential inclusion systems is often illustrated by set-valued mapping in mathematics. Fixed point theory for multi-valued mappings is an important and hot tool in set-valued analysis, which has several applications. Many of the well-known and useful fixed point theorems of single-valued mappings, such as those of Banach, Schaefer, and Schauder, have been extended to multi-valued mappings in Banach spaces. Naturally, the case of extending the Krasnoselskii fixed point theorem to set-valued mapping has also been obtained in literature; we refer the interested readers to [23,24].
In [25], the authors proposed a fractional boundary value problem with the generalized Riemann-Liouville fractional derivative:
{Dαω(τ)∈F(τ,ω(τ)),τ∈[0,1],α∈(1,2),ω(0)=0,ω(1)=mIμ10+h1(ξ,ω(ξ))+nIμ20+h2(η,ω(η)), |
where 1<α<2, m,n≥0, μ1,μ2≥1, 0<ξ,η≤1, hj:[0,1]×R→R is a continuous function for 1≤j≤2, and F:[0,1]×R→P(R) is a multi-valued function. The existence and uniqueness results were obtained by using the iterative method. In [26], by using the fixed point technique, the authors obtain a new solution for the generalized system of fractional the q-differential inclusions involving p-Laplacian operator and sequential derivatives.
As we know, compared with some of the previous articles, fractional differential inclusions under boundary conditions were mainly focused on a single equation. However, there are relatively few studies on fractional differential coupled inclusion systems. Our aim is to obtain an existence result for a new coupled system of differential inclusions involving Hadamard fractional order. That is, we investigate the following system
{HDα1((ξ(τ)−g1(τ,ξ(τ),η(τ))f1(τ,ξ(τ),η(τ)))∈G1(τ,ξ(τ),η(τ)),τ∈(1,e),HDα2((η(τ)−g2(τ,ξ(τ),η(τ))f2(τ,ξ(τ),η(τ)))∈G2(τ,ξ(τ),η(τ)),τ∈(1,e),ξ(1)=ξ(e)=0,η(1)=η(e)=0, | (1.1) |
where HDα1,HDα2 represent the HFDs of orders α1,α2, and α1∈(1,2], α2∈(1,2]; f1, f2∈C([1,e]×R2,R∖{0}), g1,g2∈C([1,e]×R2,R) and satisfy gi(1,0,0)=0, (i=1,2), G1,G2:[1,e]×R2→P(R) are the multi-valued maps, where P(R) denotes the set composed of all nonempty subsets of R. By utilizing a fixed point theorem about several operators containing x∈AxBx+Cx in Banach algebras, the existence result of solutions for (1.1) is derived via multi-valued maps in a normed space.
We give simple arrangements. In Section 2, some needed preliminary concepts and lemmas are reviewed. Section 3 proves an existence result for (1.1). In Section 4, an example is provided to verify our theoretical result. Finally, in Section 5, we conclude with a comprehensive description of the findings that are shown.
The main contributions of our work are as follows:
1) The coupled system of differential inclusions involving Hadamard fractional order is first proposed.
2) We derive sufficient conditions for the existence of solutions to (1.1), and the method is a fixed point theorem for three operators of Schaefer type.
3) The existence of solutions for the system is obtained.
4) The application is demonstrated through an example of coupled fractional differential inclusions.
For a measurable function y : [1,e]→R which is Lebesgue integrable, all such functions define a Banach space L1([1,e],R) normed by ‖y‖L1=∫e1|y(τ)|dτ.
Definition 2.1 ([4,5]) For an integrable function h:[1,+∞)→R, the Hadamard fractional integral of order q>0 is defined as
HIqh(τ)=1Γ(q)∫τ1(logτs)q−1h(s)sds, |
provided that the integral exists.
Definition 2.2 ([4,5]) For an integrable function h:[1,+∞)→R, the HFD of order q>0 is defined as:
HDqh(τ)=1Γ(n−q)(τddτ)n∫τ1(logτs)n−q−1h(s)sds,n−1<q<n, |
where n=[q]+1, [q] is the smallest integer greater than or equal to q, and log(⋅)=loge(⋅).
Lemma 2.1 Let ζ1, ζ2∈C([1,e],R), f1, f2∈C([1,e]×R2,R∖{0}), g1,g2∈C([1,e]×R2,R), and satisfy gi(1,0,0)=0, (i=1,2). Then, the integral solution of the Hadamard fractional differential system
{HDα1((ξ(τ)−g1(τ,ξ(τ),η(τ))f1(τ,ξ(τ),η(τ)))=ζ1(τ),τ∈(1,e),α1∈(1,2],HDα2((η(τ)−g2(τ,ξ(τ),η(τ))f2(τ,ξ(τ),η(τ)))=ζ2(τ),τ∈(1,e),α2∈(1,2],ξ(1)=ξ(e)=0,η(1)=η(e)=0 | (2.1) |
is given by
{ξ(τ)= f1(τ,ξ(τ),η(τ))(1Γ(α1)∫τ1(logτs)(α1−1)ζ1(s)sds−g1(e,0,0)f1(e,0,0)(logτ)(α1−1)−(logτ)(α1−1)Γ(α1)∫e1(loges)(α1−1)ζ1(s)sds)+g1(τ,ξ(τ),η(τ)),τ∈(1,e),η(τ)= f2(τ,ξ(τ),η(τ))(1Γ(α2)∫τ1(logτs)(α2−1)ζ2(s)sds−g2(e,0,0)f2(e,0,0)(logτ)(α2−1)−(logτ)(α2−1)Γ(α2)∫e1(loges)(α2−1)ζ2(s)sds)+g2(τ,ξ(τ),η(τ)),τ∈(1,e). | (2.2) |
Proof. According to the formula in [14] Chapter 9, the solution of (2.1) can be formulated in the following manner:
{ξ(τ)= f1(τ,ξ(τ),η(τ))(1Γ(α1)∫τ1(logτs)(α1−1)ζ1(s)sds+a1(logτ)(α1−1)+a2(logτ)(α1−2)) +g1(τ,ξ(τ),η(τ)),η(τ)= f2(τ,ξ(τ),η(τ))(1Γ(α2)∫τ1(logτs)(α2−1)ζ2(s)sds+b1(logτ)(α2−1)+b2(logτ)(α2−2)) +g2(τ,ξ(τ),η(τ)), | (2.3) |
where a1,a2,b1,b2∈R. By using the Dirichlet boundary conditions ξ(1)=ξ(e)=0,η(1)=η(e)=0 in (2.1), gi(1,0,0)=0, (i=1,2), we obtain
a2=0,a1=−g1(e,0,0)f1(e,0,0)−1Γ(α1)∫e1(loges)(α1−1)ζ1(s)sds,b2=0,b1=−g2(e,0,0)f2(e,0,0)−1Γ(α2)∫e1(loges)(α2−1)ζ2(s)sds. |
By substituting a1,a2,b1,b2 into (2.3), we can get (2.2).
Definition 2.3 The solution of (1.1) is used to define a pair of functions (ξ,η) that satisfy the following conditions:
(1) There exists a pair of function (ζ1,ζ2)∈L1([1,e],R)×L1([1,e],R) with ζ1∈G1(τ,ξ(τ),η(τ)) and ζ2∈G2(τ,ξ(τ),η(τ)) satisfying HDα1(ξ(τ)−g1(τ,ξ(τ),η(τ))f1(τ,ξ(τ),η(τ)))=ζ1(τ), HDα2(η(τ)−g2(τ,ξ(τ),η(τ))f2(τ,ξ(τ),η(τ)))=ζ2(τ), for almost every on [1,e];
(2) ξ(1)=ξ(e)=0,η(1)=η(e)=0.
Next, an introduction is provided to fundamental concepts concerning normed spaces and multi-valued maps.
Let X=C([1,e],R)={ξ:ξ:[1,e]→Riscontinuous}, and the norm ‖ξ‖=supτ∈[1,e]|ξ(τ)|. Then, X is a Banach space. With respect to a suitable multiplication "⋅" defined by (ξ,η)(τ)=ξ(τ)⋅η(τ) for ξ,η∈X, the aforementioned entity X will be regarded as a Banach algebra.
For the product space Π=X×X under the norm ‖(ξ,η)‖=‖ξ‖+‖η‖, it can also be demonstrated that the space Π is a Banach space. Further, with respect to a suitable multiplication "⋅" defined by ((ξ,η)⋅(¯ξ,¯η))(τ)=(ξ,η)(τ)⋅(¯ξ,¯η)(τ)=(ξ(τ)¯ξ(τ),η(τ)¯η(τ)) for (ξ,η), (¯ξ,¯η)∈Π, the product space Π will be regarded as a Banach algebra. For further information regarding the results of the product space Π, please see [20,21].
Now, we cover some basic and useful knowledge about multi-valued mappings. P(Π) denotes the set composed of all nonempty subsets of Π (see [22]):
Pcl(Π)={F∈P(Π):Fisclosed},Pb(Π)={F∈P(Π):Fisbounded},Pcp(Π)={F∈P(Π):Fiscompact},Pcp,cv(Π)={F∈P(Π):Fiscompactandconvex}. |
Definition 2.4 In the study of a multi-valued map G :Π→Pcl(Π), if G(ξ,η) is convex (closed) for (ξ,η)∈Π, then it is called convex (closed) valued.
Definition 2.5 It is our contention that the map G is bounded on bounded sets, if G(B)=∪(ξ,η)∈BG(ξ,η) is bounded in Ξ for any bounded set B of Π (i.e., sup(ξ,η)∈B{‖(x,y)‖:(x,y)∈G(ξ,η)}<∞).
Definition 2.6 The map G is defined as an upper semi-continuous (u.s.c.) map on Π: if for each (ξ,η)∈Π, the set G(ξ,η) is a nonempty closed subset of Π, and if for each open set B of Π containing G(ξ,η), there exists an open neighborhood O of (ξ,η) such that G(O)⊂B.
Definition 2.7 The map G is defined as a completely continuous map when the graph G(B) is relatively compact for all bounded subsets B of Π.
Definition 2.8 A multi-valued map G:[1,e]×R2→P(R) is called L1-Carathéodory when
(i) τ→G(τ,ξ,η) is measurable for each (ξ,η)∈R×R;
(ii) (ξ,η)→G(τ,ξ,η) is upper semi-continuous for a.e. τ∈[1,e];
(iii) it can be shown that a function exists ωr∈L1([1,e],R+) such that
‖G(τ,ξ,η)‖=sup{|x|:x∈G(τ,ξ,η)}≤ωr(τ), |
for ξ,η∈R with |ξ|+|η|≤r and for a.e. τ∈[1,e].
With each (ξ,η)∈Π, state the set of selections of Gξη=(G1,ξη,G2,ξη) are given as follows:
G1,ξη:={v1∈L1([1,e],R):v1(t)∈G1(τ,ξ(τ),η(τ)),fora.e.τ∈[1,e]},G2,ξη:={v2∈L1([1,e],R):v2(t)∈G2(τ,ξ(τ),η(τ)),fora.e.τ∈[1,e]}. |
For two normed spaces X, Y and a multi-valued map G:X→P(Y), we define Gr(G)={(ξ,η)∈X×Y,η∈G(ξ)} as a graph of G and review two important lemmas.
Lemma 2.2 ([18]) If G : X→Pcl(Y) is u.s.c., then Gr(G)={(ξ,η)∈X×Y,η∈G(x)} is a closed subset of X×Y; i.e., for every sequence {ξn}n∈N⊂X and {ηn}n∈N⊂Y, if when n→∞, ξn→ξ∗, ηn→η∗, and ηn∈G(ξn), then η∗∈G(ξ∗). Conversely, if G is completely continuous and has a closed graph, then it is u.s.c.
Lemma 2.3 ([19]) X is a Banach space. Let G:[0,T]×X→Pcp,cv(X) be an L1-Carathéodory set-valued map and Θ:L1([0,T];X)→C([0,T];X) be a linear continuous mapping. Subsequently, the operator
Θ∘SG,ξ:C([0,T];X)→Pcp,cv(C([0,T];X)) |
ξ↦(Θ∘SG)(ξ)=Θ(SG,ξ) |
is a closed graph operator in C([0,T];X)×C([0,T];X).
Now, we can consider the system (1.1). Our method is based on the following two lemmas.
Lemma 3.1 ([17]) Let X be a Banach algebra, Ω⊂X be a nonempty, closed convex, and bounded subset. Operators A, C:X→X and B:Ω→X satisfy:
(a) A and C are both Lipschitzian, and the corresponding Lipschitz constants are denoted by δ and ρ;
(b) B is a completely continuous map (i.e. is compact and continuous);
(c) x=AxBy+Cx⇒x∈Ω for y∈Ω;
(d) δM+ρ<1, where M=‖B(Ω)‖=sup{‖Bx‖:x∈Ω}.
Then, AxBx+Cx=x has a solution in Ω.
Lemma 3.2 ([22]) Let X be a Banach algebra, Ω⊂X be a nonempty, closed convex, and bounded subset. And, A, C : X→X are two single-valued and B : Ω→Pcp,cv(X) is multi-valued operator, satisfying:
(a) A and C are both Lipschitzian, and the corresponding Lipschitz constants are denoted by δ and ρ;
(b) B is compact and upper semi-continuous;
(c) δM+ρ<1/2, where M=‖B(Ω)‖.
Then, either:
(i) x∈AxBx+Cx has a solution;
or,
(ii) the set Φ={x∈X|μx∈AxBx+Cx,μ>1} is unbounded.
Next, we introduce the following assumptions:
(H1) fi : [1,e]×R2→R∖{0} are continuous, and the constants Li>0 exist and are satisfied for
|fi(τ,ξ,η)−fi(τ,˜ξ,˜η)|≤Li[|ξ−˜ξ|+|η−˜η|],i=1,2, |
a.e. τ∈[1,e], ∀ξ,η,˜ξ,˜η∈R;
(H2) Functions gi : [1,e]×R2→R are continuous, and satisfy gi(1,0,0)=0, (i=1,2). The constants Ki>0 exist and are satisfied for
|gi(t,ξ,η)−gi(t,˜ξ,˜η)≤Ki[|ξ−˜ξ|+|η−˜η|],i=1,2, |
a.e. τ∈[1,e], ∀ξ,η,˜ξ,˜η∈R;
(H3) Multi-valued maps Gi : [1,e]×R2→P(R) are L1-Carathéodory and have nonempty compact and convex values, i=1,2;
(H4) There exists a real number r>0 such that
r>2F10Γ(α1)‖ω1r‖L1+2F20Γ(α2)‖ω2r‖L1+2G10+2G201−δ(2Γ(α1)‖ω1r‖L1+2Γ(α2)‖ω2r‖L1+G10F10+G20F20)−ρ, |
where
δ(2Γ(α1)‖ω1r‖L1+2Γ(α2)‖ω2r‖L1+G10F10+G20F20)+ρ<1/2, |
δ=L1+L2, ρ=K1+K2, F10=supτ∈[1,e]|f1(τ,0,0)|, F20=supτ∈[1,e]|f2(τ,0,0)|, G10=supτ∈[1,e]|g1(τ,0,0)|, G20=supτ∈[1,e]|g2(τ,0,0)|; here, ω1r(τ) and ω2r(τ) are provided in the aforementioned Definition 2.8.
Theorem 3.1 Suppose that (H1)−(H4) are satisfied. Then, system (1.1) has at least one solution on [1,e]×[1,e].
Proof. With the aforementioned Lemma 2.1, we can obviously turn problem (1.1) into an operator fixed-point problem. Before that, we define the operator N:Π→P(Π) as N(ξ,η)(τ)=(N1(ξ,η)(τ),N2(ξ,η)(τ)), where
N1(ξ,η)(τ)={h1∈C([1,e],R):h1(τ)=f1(τ,ξ(τ),η(τ))(1Γ(α1)∫τ1(logτs)(α1−1)v1(s)sds−g1(e,0,0)f1(e,0,0)(logτ)(α1−1)−(logτ)(α1−1)Γ(α1)∫e1(loges)(α1−1)v1(s)sds)+g1(τ,ξ(τ),η(τ)),v1∈G1,ξη}, | (3.1) |
and
N2(ξ,η)(τ)={h2∈C([1,e],R):h2(τ)=f2(τ,ξ(τ),η(τ))(1Γ(α2)∫τ1(logτs)(α2−1)v2(s)sds−g2(e,0,0)f2(e,0,0)(logτ)(α2−1)−(logτ)(α2−1)Γ(α2)∫e1(loges)(α2−1)v2(s)sds)+g2(τ,ξ(τ),η(τ)),v2∈G2,ξη}. | (3.2) |
Thereby, we define three operators, which are A=(A1,A2), B=(B1,B2), and C=(C1,C2). Here, the mapping Ai: Π→Π is given by
Ai(ξ,η)(τ)=fi(τ,ξ(τ),η(τ)),τ∈[1,e],i=1,2, |
and define Bi:Π→P(Π) as
Bi(ξ,η)(τ)={1Γ(αi)∫τ1(logτs)(αi−1)vi(s)sds−g1(e,0,0)f1(e,0,0)(logτ)(αi−1)−(logτ)(αi−1)Γ(αi)∫e1(loges)(αi−1)vi(s)sds,vi∈Gi,ξη},τ∈[1,e],i=1.2, | (3.3) |
and the Ci: Π→Π are given by
Ci(ξ,η)(τ)=gi(t,ξ(τ),η(τ)),τ∈[1,e],i=1,2. |
Observe that Ni(ξ,η)=Ai(ξ,η)Bi(ξ,η)+Ci(ξ,η), i=1,2. Then, the operator N can also be written as
N(ξ,η)=(A1(ξ,η)B1(ξ,η)+C1(ξ,η),A2(ξ,η)B2(ξ,η)+C2(ξ,η)). |
We need to show that the operators A, B, and C satisfy all the conditions of Lemma 3.2. For a clearer and more intuitive reading, we split the proof into several steps.
Step 1. We first show that Lemma 3.2(a) holds, i.e., we are going to prove A and C are both Lipschitzian, and the corresponding Lipschitz constants are denoted by δ and ρ. By (H1), we have
|Ai(ξ,η)(τ)−Ai(˜ξ,˜η)(τ)|=|fi(τ,ξ(τ),η(τ))−fi(τ,˜ξ(τ),˜η(τ))|≤Li[|ξ(τ)−˜ξ(τ)|+|η(τ)−˜η(τ)|]≤Li[‖ξ−˜ξ‖+‖η−˜η‖],τ∈[1,e],i=1,2. |
Hence, ‖Ai(ξ,η)−Ai(˜ξ,˜η)‖≤Li[‖ξ−˜ξ‖+‖η−˜η‖],i=1,2. Then,
‖A(ξ,η)−A(˜ξ,˜η)‖=‖A1(ξ,η)−A1(˜ξ,˜η)‖+‖A2(ξ,η)−A2(˜ξ,˜η)‖≤L1[‖ξ−˜ξ‖+‖η−˜η‖]+L2[‖ξ−˜ξ‖+‖η−˜η‖]≤(L1+L2)‖(ξ,η)−(˜ξ,˜η)‖. |
So, A is Lipschitzian on Π, and the Lipschitz constant is δ=L1+L2.
In the same way, from (H2), we have
|Ci(ξ,η)(τ)−Ci(˜ξ,˜η)(τ)|=|gi(τ,ξ(τ),η(τ))−gi(τ,˜ξ(τ),˜η(τ))|≤Ki[|ξ(τ)−˜ξ(τ)|+|η(τ)−˜η(τ)|]≤Ki[‖ξ−˜ξ‖+‖η−˜η‖],τ∈[1,e],i=1,2. |
Hence, ‖Ci(ξ,η)−Ci(˜ξ,˜η)‖≤Ki[‖ξ−˜ξ‖+‖η−˜η‖],i=1,2. Thus,
‖C(ξ,η)−C(˜ξ,˜η)‖=‖C1(ξ,η)−C1(˜ξ,˜η)‖+‖C2(ξ,η)−C2(˜ξ,˜η)‖≤K1[‖ξ−˜ξ‖+‖η−˜η‖]+K2[‖ξ−˜ξ‖+‖η−˜η‖]≤(K1+K2)‖(ξ,η)−(˜ξ,˜η)‖. |
So, C is Lipschitzian on Π, and the Lipschitz constant is ρ=K1+K2.
Step 2. We show that Lemma 3.2(b) holds, i.e., B is compact and u.s.c. on Π.
(i) We demonstrate that the operator B has convex values. Let u11, u12∈B1(ξ,η), u21, u22∈B2(ξ,η). Then, there exist v11, v12∈G1,ξη, v21, v22∈G2,ξη such that
u1j(τ)=1Γ(α1)∫τ1(logτs)(α1−1)v1j(s)sds−g1(e,0,0)f1(e,0,0)(logτ)(α1−1)−(logτ)(α1−1)Γ(α1)∫e1(loges)(α1−1)v1j(s)sds,j=1,2,τ∈[1,e]. |
u2j(τ)=1Γ(α2)∫τ1(logτs)(α2−1)v2j(s)sds−g1(e,0,0)f1(e,0,0)(logτ)(α2−1)−(logτ)(α2−1)Γ(α2)∫e1(loges)(α2−1)v2j(s)sds,j=1,2,τ∈[1,e]. |
For any constant 0≤σ≤1, we have
σu11(τ)+(1−σ)u12(τ)=1Γ(α1)∫τ1(logτs)(α1−1)σv11(s)+(1−σ)v12(s)sds−g1(e,0,0)f1(e,0,0)(logτ)(α1−1)−(logτ)(α1−1)Γ(α1)∫e1(loges)(α1−1)σv11(s)+1−σv12(s)sds, |
σu21(τ)+(1−σ)u22(τ)=1Γ(α2)∫τ1(logτs)(α2−1)σv21(s)+(1−σ)v22(s)sds−g1(e,0,0)f1(e,0,0)(logτ)(α1−1)−(logτ)(α2−1)Γ(α2)∫e1(loges)(α2−1)σv21(s)+(1−σ)v22(s)sds, |
where ˉv1(τ)=σv11(τ)+(1−σ)v12(τ)∈G1,ξη, ˉv2(τ)=σv21(τ)+(1−σ)v22(τ)∈G2,ξη for all τ∈[1,e].
Therefore,
σu11(τ)+(1−σ)u12(τ)∈B1(ξ,η),σu21(τ)+(1−σ)u22(τ)∈B2(ξ,η), |
B(σu11(τ)+(1−σ)u12(τ),σu21(τ)+(1−σ)u22(τ))=σB(u11(τ),u21(τ))+(1−σ)B(u12(τ),u22(τ))∈B(ξ,η). |
Then, we obtain B(ξ,η) which is convex for each (ξ,η)∈Π. Then, operator B defines a multi-valued operator B:Π→Pcv(Π).
(ii) We display that the operator B maps bounded sets into bounded sets in Π. Let Ω={(ξ,η)|‖(ξ,η)‖≤r,(ξ,η)∈Π}. Then, for each pi∈Bi(ξ,η),i=1,2, there exist vi∈Gi,ξη(i=1,2) such that
pi(τ)=1Γ(αi)∫τ1(logτs)(αi−1)vi(s)sds−g1(e,0,0)f1(e,0,0)(logτ)(αi−1)(logτ)(αi−1)Γ(αi)∫e1(loges)(αi−1)vi(s)sds,τ∈[1,e]. |
From (H3), we have
|B1(ξ,η)(τ)|≤|1Γ(α1)∫τ1(logτs)(α1−1)v1(s)sds−g1(e,0,0)f1(e,0,0)(logτ)(α1−1)−(logτ)(α1−1)Γ(α1)∫e1(loges)(α1−1)v1(s)sds|≤1Γ(α1)∫τ1(logτs)(α1−1)ω1r(s)sds+g1(e,0,0)f1(e,0,0)(logτ)(α1−1)+(logτ)(α1−1)Γ(α1)∫e1(loges)(α1−1)ω1r(s)sds≤2Γ(α1+1)‖ω1r‖L1+G10F10, |
and, similarly,
|B2(ξ,η)(τ)|≤2Γ(α2+1)‖ω2r‖L1+G20F20. |
This implies that
‖B(ξ,η)‖=‖B1(ξ,η)‖+‖B2(ξ,η)‖≤2Γ(α1+1)‖ω1r‖L1+2Γ(α2+1)‖ω2r‖L1+G10F10+G20F20. |
Thus, B(Π) is uniformly bounded. Then, B defines a multi-valued operator B:Π→Pb(Π).
(iii) We show that the operator B maps bounded sets into equi-continuous sets in Π. Let qi∈Bi(ξ,η)(i=1,2) for some (ξ,η)∈Ω, where Ω is given as earlier. So, there exists ui∈Gi,ξη, such that
qi(τ)=1Γ(αi)∫τ1(logτs)(αi−1)ui(s)sds−g1(e,0,0)f1(e,0,0)(logτ)(αi−1)−(logτ)(αi−1)Γ(αi)∫e1(loges)(αi−1)ui(s)sds,i=1,2. |
For any t1,t2∈[1,e] and t1<t2, we have
|q1(t1)−q1(t2)|≤‖ω1r‖L1Γ(α1)|∫t11(logt1s)α1−11sds−∫t21(logt2s)α1−11sds|+g1(e,0,0)f1(e,0,0)|(logt1)α1−1−(logt2)α1−1|+‖ω1r‖L1Γ(α1)|(logt1)α1−1−(logt2)α1−1|∫e1(loges)α1−11sds≤‖ω1r‖L1Γ(α1)|∫t11[(logt1s)α1−1−(logt2s)α1−1]1sds|+‖ω1r‖L1Γ(α1)|∫t2t1(logt2s)α1−11sds|+‖ω1r‖L1Γ(α1)|(logt1)α1−1−(logt2)α1−1|∫e1(loges)α1−11sds+G10F10|(logt1)α1−1−(logt2)α1−1| | (3.4) |
and
|q2(t1)−q2(t2)|≤‖ω2r‖L1Γ(α2)|∫t11[(logt1s)α2−1−(logt2s)α2−1]1sds|+‖ω2r‖L1Γ(α2)|∫t2t1(logt2s)α1−11sds|+‖ω2r‖L1Γ(α2)|(logt1)α1−1−(logt2)α2−1|∫e1(loges)α2−11sds+G20F20|(logt1)α2−1−(logt2)α2−1|. | (3.5) |
Note that the right-hand side of the two inequalities (3.4) and (3.5) go to zero for arbitrary (ξ,η)∈Ω as t2→t1.
So, as t2→t1, we have
‖B1(ξ,η)(t1)−B1(ξ,η)(t2)‖→0,‖B2(ξ,η)(t1)−B2(ξ,η)(t2)‖→0. |
Therefore, B1 and B2 are equi-continuous. Also, note that ‖B(ξ,η)‖=‖B1(ξ,η)‖+‖B2(ξ,η)‖, so, as t2→t1,
‖B(ξ,η)(t1)−B(ξ,η)(t2)‖→0. |
So, B is equi-continuous.
From (ii)−(iii) and the Arzelá-Ascoli theorem, we have B:Π→P(Π) is completely continuous. Thus, B defines a compact multi-valued operator B:Π→Pcp(Π).
(iv) We claim that B has a closed graph. Let (ξn,ηn)→(ξ∗,η∗) as n→∞, (h1n,h2n)∈B(ξn,ηn) and (h1n,h2n)→(h1∗,h2∗) as n→∞. Then, we need to prove that (h1∗,h2∗)∈B(ξ∗,η∗), i.e., h1∗∈B1(ξ∗,η∗), h2∗∈B2(ξ∗,η∗). Due to h1n∈B1(ξn,ηn), h2n∈B2(ξn,ηn), there are v1n∈G1,ξη, v2n∈G2,ξη such that
h1n(τ)=1Γ(α1)∫τ1(logτs)(α1−1)v1n(s)sds−g1(e,0,0)f1(e,0,0)(logτ)(α1−1)−(logτ)(α1−1)Γ(α1)∫e1(loges)(α1−1)v1n(s)sds,τ∈[1,e] |
and
h2n(τ)=1Γ(α2)∫τ1(logτs)(α2−1)v2n(s)sds−g1(e,0,0)f1(e,0,0)(logτ)(α2−1)−(logτ)(α2−1)Γ(α2)∫e1(loges)(α2−1)v2n(s)sds,τ∈[1,e]. |
Thus, it suffices to show that there are v1∗∈G1,ξ∗η∗, v2∗∈G2,ξ∗η∗, such that for each τ∈[1,e],
h1∗(τ)=1Γ(α1)∫τ1(logτs)(α1−1)v1∗(s)sds−g1(e,0,0)f1(e,0,0)(logτ)(α1−1)−(logτ)(α1−1)Γ(α1)∫e1(loges)(α1−1)v1∗(s)sds,τ∈[1,e] |
and
h2∗(τ)=1Γ(α2)∫τ1(logτs)(α2−1)v2∗(s)sds−g1(e,0,0)f1(e,0,0)(logτ)(α2−1)−(logτ)(α2−1)Γ(α2)∫e1(loges)(α2−1)v2∗(s)sds,τ∈[1,e]. |
Let us take the linear operator Γ=(Γ1,Γ2), where Γi:L1([1,e],R)→C([1,e],R) are given by:
Γi(vi)(τ)=1Γ(αi)∫τ1(logτs)(αi−1)vi(s)sds−(logτ)(αi−1)Γ(αi)∫e1(loges)(αi−1)vi(s)sds,i=1,2. |
From Lemma 2.3, it follows that Γ∘SG is a closed graph operator, and from the definition of Γ, one has that for fin∈Γi∘Gi,ξη, fin→fi∗ there exists vi∗∈Gi,ξη, (i=1,2) such that
fi∗=1Γ(αi)∫τ1(logτs)(αi−1)vi∗(s)sds−(logτ)(αi−1)Γ(αi)∫e1(loges)(αi−1)vi∗(s)sds,i=1,2, |
where
fin=1Γ(αi)∫τ1(logτs)(αi−1)vin(s)sds−(logτ)(αi−1)Γ(αi)∫e1(loges)(αi−1)vin(s)sds,i=1,2. |
Then, (xn,yn)→(x∗,y∗),
h1n=f1n−g1(e,0,0)f1(e,0,0)(logτ)(α1−1)→f1∗−g1(e,0,0)f1(e,0,0)(logτ)(α1−1)=h1∗, |
h2n=f2n−g1(e,0,0)f1(e,0,0)(logτ)(α2−1)→f2∗−g1(e,0,0)f1(e,0,0)(logτ)(α2−1)=h2∗. |
So, there exists v1∗∈G1,ξ∗η∗, v2∗∈G2,ξ∗η∗, such that
h1∗(τ)=1Γ(α1)∫τ1(logτs)(α1−1)v1∗(s)sds−g1(e,0,0)f1(e,0,0)(logτ)(α1−1)−(logτ)(α1−1)Γ(α1)∫e1(loges)(α1−1)v1∗(s)sds,τ∈[1,e] |
and
h2∗(τ)=1Γ(α2)∫τ1(logτs)(α2−1)v2∗(s)sds−g1(e,0,0)f1(e,0,0)(logτ)(α2−1)−(logτ)(α2−1)Γ(α2)∫e1(loges)(α2−1)v2∗(s)sds,τ∈[1,e]. |
This means that (h1∗,h2∗)∈B(ξ∗,η∗).
Note that B:Π→P(Π) is completely continuous, thus it follows from Lemma 2.2 that the operator B is u.s.c. operator on Π.
Step 3. We show that Lemma 3.2(c) holds. From (H4), we have M=‖B(Ω)‖=‖B(ξ,η)‖=‖B1(ξ,η)‖+‖B2(ξ,η)‖≤(2/Γ(α1))‖ω1r‖L1+(2/Γ(α2))‖ω2r‖L1+G10/F10+G20/F20 for (ξ,η)∈Ω and δ=L1+L2, ρ=K1+K2.
At this point, we have completed the proof of all the conditions in the Lemma 3.2, which means that either Lemma 3.2(i) or Lemma 3.2(ii) holds. Finally, we demonstrate that Lemma 3.2(ii) is not satisfied.
Let Φ={(x,y)∈Π|μ(x,y)∈(A1(x,y)B1(x,y)+C1(x,y),A2(x,y)B2(x,y)+C2(x,y))} and (x,y)∈Π be arbitrary. Then, for μ>1, μ(x,y)∈(A1(x,y)B1(x,y)+C1(x,y),A2(u,v)B2(u,v)+C2(x,y)), there exists (ψ1,ψ2)∈(G1,xy,G2,xy) such that, for any μ>1, we have
x(τ)=μ−1f1(τ,x(τ),y(τ))(1Γ(α1)∫τ1(logτs)(α1−1)ψ1(s)sds−g1(e,0,0)f1(e,0,0)(logτ)(α1−1)−(logτ)(α1−1)Γ(α1)∫e1(loges)(α1−1)ψ1(s)sds)+μ−1g1(τ,x(τ),y(τ)), |
and
y(τ)=μ−1f2(τ,x(τ),y(τ))(1Γ(α2)∫τ1(logτs)(α2−1)ψ2(s)sds−g2(e,0,0)f2(e,0,0)(logτ)(α2−1)−(logτ)(α2−1)Γ(α2)∫e1(loges)(α2−1)ψ2(s)sds)+μ−1g2(τ,x(τ),y(τ)), |
for all τ∈[1,e]. Therefore,
|x(τ)|≤μ−1|f1(τ,x(τ),y(τ))|(1Γ(α1)∫τ1(logτs)(α1−1)|ψ1(s)|sds+g1(e,0,0)f1(e,0,0)(logτ)(α1−1)−(logτ)(α1−1)Γ(α1)∫e1(loges)(α1−1)|ψ1(s)|sds)+μ−1|g1(τ,x(τ),y(τ))|≤[|f1(τ,x(τ),y(τ))−f1(τ,0,0)|+|f1(τ,0,0)|](1Γ(α1)∫τ1(logτs)(α1−1)|ψ1(s)|sds+g1(e,0,0)f1(e,0,0)(logτ)(α1−1)−(logτ)(α1−1)Γ(α1)∫e1(loges)(α1−1)|ψ1(s)|sds)+|g1(τ,x(τ),y(τ))−g1(τ,0,0)|+|g1(τ,0,0)|≤[L1r+F10][2Γ(α1)‖ω1r‖L1+G10F10]+[K1r+G10], |
and
|y(t)|≤[L2r+F20][2Γ(α2)‖ω2r‖L1+G20F20]+[K2r+G20]. |
And thus,
‖(x,y)‖≤δr(2Γ(α1)‖ω1r‖L1+2Γ(α2)‖ω2r‖L1+G10F10+G20F20)+(2F10Γ(α1)‖ω1r‖L1+2F20Γ(α2)‖ω2r‖L1+G10+G20)+(ρr+G10+G20), |
where Fi0 and ωir(r=1,2) are defined in (H4). Then, if ‖(x,y)‖≥r, we have
r≤2F10Γ(α1)‖ω1r‖L1+2F20Γ(α2)‖ω2r‖L1+2G10+2G201−δ(2Γ(α1)‖ω1r‖L1+2Γ(α2)‖ω2r‖L1+G10F10+G20F20)−ρ. |
Therefore, Lemma 3.2(ii) is not satisfied by (H4). Then, there exists (ˉx,ˉy)∈Π such that
(ˉx,ˉy)=(A1(ˉx,ˉy)B1(ˉx,ˉy)+C1(ˉx,ˉy),A2(ˉx,ˉy)B2(ˉx,ˉy)+C2(ˉx,ˉy)). |
That is, operator N has a fixed point, which is a solution of system (1.1). So, system (1.1) has at least one solution on [1,e]×[1,e].
An example is given to illustrate the above theoretical result.
Example 4.1 We consider the following system of Hadamard fractional coupled differential inclusions
{HD1.5(ξ(τ)−0.1e1−τ(cosξ(τ)+cosη(τ))0.1e1−τ(cosξ(τ)+cosη(τ)+2))∈G1(τ,ξ(τ),η(τ)),τ∈(1,e),HD1.25(η(τ)−0.1(arctanξ(τ)+arctanη(τ))0.1(arctanξ(τ)+arctanη(τ)+3))∈G2(τ,ξ(τ),η(τ)),τ∈(1,e),ξ(1)=ξ(e)=0,η(1)=η(e)=0, | (4.1) |
where α1=1.5, α2=1.25. The following is a formula for the multi-valued mapping Gi:[1,e]×R2→R (i=1,2):
τ↦G1(τ,ξ(τ),η(τ))={|ξ(τ)|310(|ξ(τ)|3+|η(τ)|3+3),|sinξ(τ)|20(|sinξ(τ)|+|sinη(τ)|+1)+120}, |
and
τ↦G2(τ,ξ(τ),η(τ))={|ξ(τ)|318(|ξ(τ)|3+|η(τ)|3+2)+118,|sinξ(τ)|10(|sinξ(τ)|+|sinη(τ)|+3)}. |
Compared with (H1), we have
|f1(τ,ξ(τ),η(τ))−f1(τ,˜ξ(τ),˜η(τ))|=|0.1e1−τ(cosξ(τ)+cosη(τ)+2)−0.1e1−τ(cos˜ξ(τ)+cos˜η(τ)+2)|≤0.1e1−τ[|cosξ(τ)−cos˜ξ(τ)|+|cosη(τ)−cos˜η(τ)|],τ∈[1,e]. |
So, L1=0.1, L2=0.1 with δ=0.2.
Compared with (H2), we get
|f2(τ,ξ(τ),η(τ))−f2(τ,˜ξ(τ),˜η(τ))|=|0.1(arctanξ(τ)+arctanη(τ)+3)−0.1(arctan˜ξ(τ)+arctan˜η(τ)+3)|≤0.1[|arctanξ(τ)−arctan˜ξ(τ)|+|arctanη(τ)−arctan˜η(τ)|],τ∈[1,e]. |
So, K1=0.1, K2=0.1 with ρ=0.2.
For v1∈G1, v2∈G2, and arbitrary (x,y)∈R2, we have
|v1|≤max{|x|310(|x|3+|y|3+3),|sinx|20(|sinx|+|siny|+1)+120}≤110, |
and
|v2|≤max{|x|318(|x|3+|y|3+2)+118,|sinx|10(|sinx|+|siny|+3)}≤19. |
Then,
‖G1(τ,x,y)‖=sup{|v1|:v1∈G1(τ,x,y)}≤110=ω1r(t),(x,y)∈R2, |
‖G2(τ,x,y)‖=sup{|v2|:v2∈G2(τ,x,y)}≤19=ω2r(t),(x,y)∈R2. |
Clearly, from our calculation, ‖ω1r‖L1=e−110, ‖ω2r‖L1=e−19, F10=0.2, F20=0.3, G10=0, G20=0. Hence,
δ(2Γ(α1)‖ω1r‖L1+2Γ(α2)‖ω2r‖L1+G10F10+G20F20)+ρ≈0.43<1/2, |
and
r>2F10Γ(α1)‖ω1r‖L1+2F20Γ(α2)‖ω2r‖L1+2G10+2G201−δ(2Γ(α1)‖ω1r‖L1+2Γ(α2)‖ω2r‖L1+G10F10+G20F20)−ρ≈0.48. |
Consequently, all the assumptions of Theorem 3.1 are satisfied. Hence, by Theorem 3.1, system (4.1) has at least one solution on [1,e]×[1,e].
We studied the existence of a solution for the new system (1.1) involving Hadamard coupled fractional differential inclusions equipped with Dirichlet boundary conditions. The results are obtained by combing fractional calculus, multi-valued analysis, and the multi-valued fixed point theorem for three operators of Schaefer type. One of the main objectives is to contribute to the growth of fractional calculus and to enrich the study as part of the mathematical analysis related to fractional differential inclusions.
The authors declare that the study was realized in collaboration with the same responsibility. All authors read and approved the final manuscript. Chengbo Zhai: Actualization, methodology, formal analysis, validation, investigation, initial draft and was a major contributor in writing the manuscript. Lili Zhang: Actualization, methodology, formal analysis, validation, investigation and initial draft.
The authors declare they have not used Artificial Intelligence (AI) tools in the creation of this article.
This paper is supported by Fundamental Research Program of Shanxi Province(202303021221068).
The authors declare there is no conflicts of interest.
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