Abstract
We consider the periodic boundary value problem (PBVP) for a semilinear fractional-order delayed functional differential inclusion in a Banach space. We introduce and study a multivalued integral operator whose fixed points coincide with mild solutions of our problem. On that base, we prove the main existence result (Theorem 4). We present an example dealing with existence of a trajectory for a time-fractional diffusion type feedback control system with a delay satisfying periodic boundary value condition.
Keywords:
fractional functional differential inclusion; semilinear functional differential inclusion; periodic boundary value problem; time-fractional diffusion type feedback control system; fixed point; condensing map; measure of noncompactness MSC:
Primary: 34G25; Secondary: 34K09; 34K13; 34K37; 35B10; 47H04; 47H08; 47H10
1. Introduction
At the present time, the theory of differential equations and inclusions of fractional order is the subject of an active study for a large number of researchers. One of the main reasons for this interest is caused by important applications of this theory in physics, engineering, biology, economics, and other sciences (see, e.g., [,,,] and the references therein). It should be mentioned in this connection that fractional order models provide an effective and convenient machinery for the description of systems with memory and hereditary properties.
In the present paper, for a semilinear fractional–order functional differential inclusion in a separable Banach space E of the form
we consider the problem of existence of a mild solution to this inclusion satisfying the periodic boundary value condition (PBVP). Here, denotes the Caputo fractional derivative of the order , is the infinitesimal generator of a bounded -semigroup, is a multivalued nonlinearity and the function describes the prehistory of the solution at the moment i.e., It is worth noting that the introducing into consideration of the delay of the trajectory allows, additionally to the application of the fractional derivative, to reflect the dependence of the current state of a system on its previous characteristics.
Among a large amount of papers dedicated to fractional-order equations and inclusions in Banach spaces, let us mention works [,,,,,,,,,,] where existence results of various types were obtained. In particular, in the authors’ paper [], the periodic boundary value problem for fractional-order semilinear differential inclusions in Banach spaces was studied by the method of translation multioperator along the trajectories of the inclusion. However, this method can not be extended directly to the case of functional differential inclusions. For this reason, in the present paper, we apply for the solving of the PBVP the method of integral multioperators, combined with the theory of condensing multimaps and the theory of Mittag–Leffler functions.
The paper is organized in the following way. In the next section, we present necessary notions and facts from the fractional and multivalued analysis as well as from the theory of condensing maps. In Section 3, we study the PBVP for a semilinear fractional-order functional differential inclusion with delay in a Banach space. We introduce and study a multivalued integral operator whose fixed points coincide with mild solutions of our problem. On that base, we prove the main existence result (Theorem 4). In the last section, we consider an example dealing with existence of a trajectory for a time-fractional diffusion type feedback control system with delay satisfying the periodic boundary.
2. Preliminaries
2.1. Differential Equations of Fractional Order
Recall some notions and definitions which we will need in the sequel (details can be found, e.g., in [,,]).
Let E be a real Banach space.
Definition 1.
The Riemann–Liouville fractional derivative of the order of a continuous function is the function of the following form:
provided the right-hand side of this equality is well defined.
Here, is the Euler gamma-function
Definition 2.
The Caputo fractional derivative of the order of a continuous function is the function defined in the following way:
provided the right-hand side of this equality is well defined.
Definition 3.
A function of the form
is called the Mittag–Leffler function.
Denote by . Notice that from the relations (see, e.g., []):
and
where
It follows that
Remark 1
(See, e.g., [,]).
In the sequel, we will need the following relations (see [])
2.2. Measures of Noncompactness and Condensing Maps
Let be a Banach space. Introduce the following notation:
- .
Definition 4
(See, e.g., []). Let be a partially ordered set. A function is called the measure of noncompactness (MNC) in if for each we have:
where denotes the closure of the convex hull of .
A measure of noncompactness is called:
- (1)
- monotone if for each , implies ;
- (2)
- nonsingular if for each and each we have .
If is a cone in a Banach space, the MNC is called:
- (3)
- regular if is equivalent to the relative compactness of ;
- (4)
- real if is the set of all real numbers with the natural ordering;
- (5)
- algebraically semiadditive if for every
As the example of a real MNC obeying all above properties, we can consider the Hausdorff MNC :
Notice that the Hausdorff MNC satisfies the semi-homogeneity condition, i.e.,:
for every and More generally, if is a bounded linear operator, then
for every .
Recall that the norm of a set is defined by the formula:
Definition 5
(See, e.g., []). Let X be a closed subset of ; β a MNC in A multivalued map (multimap) is called condensing w.r.t. β (or β-condensing) if for every which is not relatively compact we have:
Definition 6
(See, e.g., [,,]). Let X be a metric space. A multimap is called upper semicontinuous (u.s.c.) if
is an open subset of X for each open set
Theorem 1
(Cf. Corollary 3.3.1 []). Let be a convex closed subset of and a u.s.c. β–condensing multimap, where β is a nonsingular MNC in Then, the fixed point set is non-empty.
Recall some notions (see, e.g., [,]). Let E be a Banach space.
Definition 7.
For a given a multifunction is called:
- –integrable if it admits an –Bochner integrable selection, i.e., there exists a function such that for a.e.
- –integrably bounded if there exists a function such thatfor a.e.
The set of all –integrable selections of a multifunction is denoted by
Definition 8.
The integral of an -integrable multifunction is defined in the following way:
In the sequel, we will need the following important property on the -estimation of the integral of a multifunction.
Lemma 1
(See Theorem 4.2.3 in []). Let E be a separable Banach space and an integrable, integrably bounded multifunction such that
where χ is the Hausdorff MNC in E and Then,
3. Existence Result
For a semilinear fractional–order differential inclusion in a separable Banach space E of the form
we consider the problem (PBVP) of existence of a mild solution satisfying the following periodic boundary value condition
under the next basic assumptions.
As earlier, the symbol denotes the Caputo fractional derivative of order We suppose that the linear operator A satisfies condition
- is a linear closed (not necessarily bounded) operator generating a bounded –semigroup of linear operators in E.
In the sequel, we will use the notation
We will assume that the multivalued nonlinearity obeys the following conditions:
- for each the multifunction admits a measurable selection;
- for a.e. the multimap is u.s.c.;
- there exist functions such that, for each , we have
- there exists a function such that for each bounded set we have:for a.e. where is the Hausdorff MNC in
For a given consider the multifunction
From above conditions –, it follows (see, e.g., [] Theorem 1.3.5) that the multifunction is –integrable and, therefore, the superposition multioperator can be defined in the following way:
Now, we consider the operator functions defined in the following way:
where the function is given by (2) and (3).
Remark 2.
In a scalar case and with :
Lemma 2
(See [,]). The operator functions and possess the following properties:
- (1)
- for each , and are linear bounded operators and moreover, if the semigroup satisfies the estimatewith , then
- (2)
- the operator functions and are strongly continuous, i.e., functions and are continuous for each
Definition 9.
In what follows, we will assume that the next condition holds true:
Consider the multioperator , given in the following way:
for all functions y defined as
where
The well posedness of the operator G follows from the next assertion.
Lemma 3.
If for some , then and hence
Proof.
In fact,
Equality then follows from the definition of □
Theorem 2.
Proof.
Let us consider some topological properties of the multioperator
Lemma 4.
The multioperator G is u.s.c. and has compact values.
Proof.
It is clear that it is sufficient to prove the assertion for the multioperator G whose values are naturally restricted to the space . Let us denote this restriction as
The multioperator may be represented in the form of the following composition:
where
and
From the results of the work [], it is known that the multioperator is u.s.c. with compact values and now the assertion follows from the fact that each of , and is a bounded linear operator. □
To prove that the multioperator G is condensing, consider the cone
endowed with the natural ordering and introduce in the space the vector measure of noncompactness
defined as
where is the module of fiber noncompactness
and the second component is the module of equicontinuity:
Theorem 3.
Under assumptions , (F1)–(F4), suppose, additionally, that
- the semigroup U satisfies estimate (9) for some
If
where is the function from condition then the multioperator G is ν-condensing.
Proof.
Let be a nonempty bounded set such that
Let us show that is relatively compact.
From (19), it follows that
For further estimation of , let us evaluate the integrals in the last expression by means of Formula (6):
Similarly, we obtain
Now, notice that, if we will take in Formula (5), we have
Thus, we get the following equalities
Thus, for , we obtain
From the last estimate, we get
At the same time, notice that, from the definition of the multioperator G, it follows that
This means, by the Arzela–Ascoli theorem, that is a relatively compact set, concluding the proof. □
Now, we are in position to prove the main result of this paper.
Theorem 4.
Proof.
Take arbitrary and , then, for some , we will have, for the following estimate:
Notice that, by definition of G, the last estimate is also valid for .
4. Example: A Periodic Problem for a Time-Fractional Diffusion System
At the present time, the research of many authors (see [] and the references therein) are devoted to the study of equations of the form
Since the order of the derivative with respect to time in Equation (24) can be of arbitrary real order, including it is called the fractional diffusion-wave equation. This name has been suggested by Mainardi (see []). For , Equation (24) becomes the classical diffusion equation; for, , we have so-called ultraslow diffiision. It is important that the fractional diffusion equation has been related to a dynamical process in fractal media: the order of the resulted equation depends on the fractal, which serves as a model of a porous material (see, e.g., []).
In our example, we consider such a fractional diffusion process subject to control effects.
Let be the two-dimensional plane of points . As earlier, by , we denote the first quadrant of the plane defined by Formula (17). Denote by the Hilbert spaces of functions square summable on
We will consider a time-fractional control system whose state will be described by the function , Similarly to the foregoing, let us denote by
The control is characterized by k sources of external influence whose properties at the moment are dependent on the prehistory of the system. Their densities are described by the functions , and the intensities of sources can be regulated by the controls measurable functions satisfying the feedback condition with delay of the form
where is defined as the function and W is a u.s.c. multimap from to Euclidean space with convex closed values which is globally bounded:
for all , where
We will consider a time-fractional diffusion type feedback control system with delay governed by the following equation of the order :
where is the Laplace operator,
For the above system, we will study the existence of a solution satisfying the periodic boundary value condition of the form
Consider the differential operator of the form with the domain where denotes the Sobolev space of functions whose normal derivatives are vanishing on the boundary. Then, as it is shown in [], the boundary value problem
for is solvable and the operator associating to the function f the solution u is bounded. Moreover, since the set of functions with a finite support vanishing on a neighborhood of the boundary is densely embedded in , by applying the Green formula to the expression where , we get, for , the following estimate:
where the norm and the scalar product are taken in . Hence, for the resolvent , the following estimate is true:
This means (see, e.g., [] Corollary II.3.5) that the operator A generates a strongly continuous semigroup satisfying the estimate
Notice that, since the resolvent is noncompact, the semigroup is also noncompact.
Furthermore, we assume that functions satisfy the following conditions:
- is measurable for all ;
- for a.e. and all where
- for all
Then, it is easy to see that the map where , defined as
is -Lipschitz in with
and compact in , i.e., the set is relatively compact in for each .
However, then, one can verify (see [] Proposition 2.2.2) that the multimap
satisfies conditions – of Section 3 (with , in condition and in condition ).
Now, we can rewrite our system in the form of the following fractional-order functional differential inclusion in the Hilbert space
Author Contributions
Investigation, M.K., V.O., G.P. and J.-C.Y. These authors contributed equally to this work.
Funding
The work is supported by the joint Taiwan MOST—Russia RFBR grant 17-51-52022. The work of the first, second, and the third authors is supported by the Ministry of Education and Science of the Russian Federation in the frameworks of the project part of the state work quota (Project No 1.3464.2017/4.6). The work of the third author is supported by the RFBR Grant 19-31-60011.
Acknowledgments
The work on the paper was carried out during Valeri Obukhovskii’s and Mikhail Kamenskii’s visit to the Center for Fundamental Science, Kaohsiung Medical University and the Department of Applied Mathematics, National Sun Yat-Sen University, Kaohsiung, Taiwan in 2019. They would like to express their gratitude to the members of the Center and the Department for their kind hospitality.
Conflicts of Interest
The authors declare no conflict of interest.
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