1. Introduction
In the past three decades, fractional calculus and fractional differential equations have attracted extensive interest and attention in the fields of differential equations and applied mathematics, science and technology. In addition to genuine mathematical interest and curiosity, this trend is also driven by interesting scientific and technological applications that produce fractional differential equation models to better describe memory effects and nonlocal phenomena [
1,
2,
3,
4,
5]. It is the rise of these applications that drives the field of fractional calculus and fractional differential equations in a new direction, and further research in this field is required.
As is known, discrete-time systems are as important as continuous-time systems. Therefore, it is equally important to study the solvability of boundary value problems of fractional differential equations and difference equations. At the same time, discrete-time systems are more convenient for computer processing. However, compared with the research on continuous-time systems, the research on the corresponding problems of discrete-time topics is sparse. Fortunately, the time scale theory proposed by Stefan Hilger [
6] can unify the study of differential equations and difference equations. In order to study the existence and multiplicity of solutions of differential equations and difference equations by variational methods in a unified framework, Refs. [
7,
8,
9] have studied some Sobolev space theories on time scales. More exactly, Agarwal et al. studied the theory of Sobolev’s spaces of functions defined on a closed subinterval of an arbitrary time scale endowed with the Lebesgue
-measure in [
7]. Zhou and Li studied Sobolev’s spaces on time scales and their properties in [
8]. Wang et al. introduced the theory of fractional Sobolev spaces on time scales by conformable fractional derivatives on time scales in [
9]. Recently, some other classical tools or techniques, such as the coincidence degree theory, the method of upper and lower solutions with monotone iterative technique and some fixed point theorems, etc., have been used to study the existence and multiplicity of solutions of differential equations and difference equations in the literature [
10,
11,
12,
13,
14,
15,
16,
17].
However, so far, there is no right fractional Sobolev space via Riemann–Liouville derivatives on time scales. In order to fill this gap, the main purpose of this paper is to establish right fractional Sobolev spaces on time scales through Riemann–Liouville fractional derivatives, and study some of their basic properties. Then, as an application of our new theory, we study the solvability of a class of fractional boundary value problems on time scales.
The rest of this paper is organized as follows. In
Section 2, we review some symbols, basic concepts and basic results of time scale calculus that will be used in this paper, and give the definitions of fractional integrals and derivatives on time scales. In
Section 3, we study some basic properties of right Riemann–Liouville fractional integrals and differential operators on time scales, including the equivalence between the fractional integral on time scales defined by integrals on time scales and the fractional integral on time scales defined by the Laplace transform and the inverse Laplace transform. In
Section 4, we give the definition of right fractional Sobolev spaces on time scales and study some of their important properties. In
Section 5, as an application of the results of this paper, we study the solvability of a fractional boundary value problem on time scales by using the critical point theory and variational methods. In
Section 6, we give a concise conclusion.
2. Preliminaries
In this section, we will recall some basic known notations, definitions and results, which are needed in what follows.
Throughout this paper, we denote by a time scale. We will use the following notations: , , , , .
Definition 1 ([
18]).
For , we define the forward jump operator by while the backward jump operator is defined by Remark 1 ([
18]).
(1) In Definition 1, we put (i.e., if has a maximum t) and (i.e., if has a minimum t), where Ø denotes the empty set.- (2)
If , we say that t is right-scattered, while if , we say that t is left-scattered. Points that are right-scattered and left-scattered at the same time are called isolated.
- (3)
If and , we say that t is right-dense, while if and , we say that t is left-dense. Points that are right-dense and left-dense at the same time are called dense.
- (4)
The graininess function is defined by
- (5)
The derivative makes use of the set , which is derived from the time scale as follows: if has a left-scattered maximum M, then ; otherwise, .
Definition 2 ([
19]).
Assume that is a function and let . Then, we define to be the number (provided it exists) with the property that, given any , there is a neighborhood U of t (i.e., for some ) such thatfor all . We call the delta (or Hilger) derivative of f at t. Moreover, we say that f is delta (or Hilger) differentiable (or, in short, differentiable) on provided that exists for all . The function is then called the (delta) derivative of f on . Definition 3 ([
18]).
A function is called rd-continuous provided it is continuous at right-dense points in and its left-sided limits exist (finite) at left-dense points in . The set of rd-continuous functions will be denoted by The set of functions that are differentiable and whose derivative is rd-continuous is denoted by Definition 4 ([
7]).
Let . A is called a Δ-null set if . We can say that a property P holds Δ-almost everywhere (Δ-a.e.) on A, or for Δ-almost all (Δ-a.a.) if there is a Δ-null set such that P holds for all . Definition 5 ([
20]).
Let J denote a closed bounded interval in . A function is called a delta antiderivative of function provided F is continuous on J, delta differentiable at and for all . Then, we define the Δ-integral of f from a to b by Theorem 1 ([
19]).
If and , then Proposition 1 ([
21]).
Let f be an increasing continuous function on J. If F is the extension of f to the real interval given bythen Theorem 2 ([
22]).
is the Cauchy function of , where Theorem 3 ([
22]).
For all , we havefor all such that , , and Definition 6 ([
22] (Shift (Delay) of a Function)).
For a given function , the solution of the shifting problemis denoted by and is called the shift or delay of f. Definition 7 ([
22] (
-Power Function)).
Suppose that ; we define the generalized Δ-power function on as follows:for all such that exists, . The fractional generalized Δ-power function on , , is defined as the shift of , i.e., Inspired by Definition 4 in [
23] and Definition 2.1 in [
24], we present the right Riemann–Liouville fractional integral and derivative on time scales as follows.
Definition 8 (Fractional integral on time scales).
Suppose h is an integrable function on J. Let . Then, the left fractional integral of order α of h is defined byThe right fractional integral of order α of h is defined bywhere Γ is the gamma function. Definition 9 (Riemann–Liouville fractional derivative on time scales).
Let , , and . The left Riemann–Liouville fractional derivative of order α of h is defined byThe right Riemann–Liouville fractional derivative of order α of h is defined by Actually, can be rewritten as .
Inspired by Definition 4 and Equation (
21) in [
23] and Theorem 2.1 in [
4], we present the right Caputo fractional derivative on time scales as follows.
Definition 10 (Caputo fractional derivative on time scales).
Let , and . The left Caputo fractional derivative of order α of h is defined byThe right Caputo fractional derivative of order α of h is defined by Definition 11 ([
25]).
For , the time scale or generalized Laplace transform of f, denoted by or , is given bywhere . Theorem 4 ([
25] (Inversion formula of the Laplace transform)).
Suppose that is analytic in the region and uniformly as in this region. Suppose has finitely many regressive poles of finite order and is the transform of the function on that corresponds to the transform of on . Ifthenhas transform for all z with . Motivated by Definition 3.1 in [
26], we present the right Riemann–Liouville fractional integral on time scales as follows.
Definition 12 (Right Riemann–Liouville fractional integral on time scales).
Let , be a time scale, and . The right Riemann–Liouville fractional integral of f of order α on the time scale , denoted by , is defined by Theorem 5 ([
8]).
A function is absolutely continuous on J if and only if f is Δ-differentiable on and Theorem 6 ([
27]).
A function is absolutely continuous on if and only if the following conditions are satisfied:- (i)
f is Δ-differentiable on and .
- (ii)
The equalityholds for every .
Theorem 7 ([
28]).
A function is absolutely continuous if and only if there exist a constant and a function such thatIn this case, we have and , a.e.
Theorem 8 ([
28] (Integral representation)).
Let and . Then, q has a right-sided Riemann–Liouville derivative of order α if and only if there exist a constant and a function such thatIn this case, we have and , a.e.
Lemma 1 ([
7]).
Let . Then, a necessary and sufficient condition for the validity of the equalityis the existence of a constant such that Definition 13 ([
7]).
Let be such that and . We say that u belongs to if and only if and there exists such that andwhereand is the set of all continuous functions on J such that they are Δ-differential on and their Δ-derivatives are -continuous on . Theorem 9 ([
7]).
Let be such that . Then, the set is a Banach space together with the norm defined for every asMoreover, is a Hilbert space together with the inner product given for every by Theorem 10 ([
24]).
Fractional integration operators are bounded in , i.e., the following estimateholds. Proposition 2 ([
7]).
Suppose and . Let be such that . Then, if and , then andThis expression is called Hölder’s inequality and Cauchy–Schwarz’s inequality whenever .
Theorem 11 ([
19] (First Mean Value Theorem)).
Let f and g be bounded and integrable functions on J, and let g be nonnegative (or nonpositive) on J. Let us setThen, there exists a real number Λ satisfying the inequalities such that Corollary 1 ([
19]).
Let f be an integrable function on J and let m and M be the infimum and supremum, respectively, of f on . Then, there exists a number Λ between m and M such that Theorem 12 ([
19]).
Let f be a function defined on J and let with . If f is Δ-integrable from a to c and from c to b, then f is Δ-integrable from a to b and Lemma 2 ([
29] (A time scale version of the Arzela–Ascoli theorem)).
Let X be a subset of satisfying the following conditions:- (i)
X is bounded.
- (ii)
For any given , there exists such that , implies for all .
Then, X is relatively compact.
4. Fractional Sobolev Spaces on Time Scales and Their Properties
In this section, inspired by the above discussion, we present and prove the following results, which are of the utmost significance for our main results. In the following, let . Suppose .
Motivated by Theorems 5–8, we propose the following definition.
Definition 14. Let . By , we denote the set of all functions that have the representationwith and . Theorem 17. Let and . Then, function f has the right Riemann–Liouville derivative of order α on the interval J if and only if ; that is, f has the representation (7).
In such a case, Proof. Let
have a right Riemann–Liouville derivative
. This means that
is (identified to) an absolutely continuous function. From the integral representation of Theorem 5, there exist a constant vector
and a function
such that
with
and
,
By Proposition 4 and applying
to (8), we obtain
The result follows from the -differentiability of (9).
Conversely, now, let us assume that (7) holds true. From Proposition 4 and applying
on (7), we obtain
and then
has an absolutely continuous representation and
f has a right Riemann–Liouville derivative
. This completes the proof. □
Remark 2. (i)By , we denote the set of all functions possessing representation (7) with and .
- (ii)
It is easy to see that Theorem 17 implies the following (for any ): f has the right Riemann–Liouville derivative if and only if ; that is, f has the representation (7) with .
Definition 15. Let and let . By the right Sobolev space of order α, we mean the set given by Remark 3. The function g given above will be called the weak right fractional derivative of order of u; let us denote it by . The uniqueness of this weak derivative follows from ([7]). We have the following characterization of .
Theorem 18. If and , then Proof. On the one hand, if
, then, from Theorem 17, it follows that
u has the derivative
. Theorem 16 implies that
for any
. So,
with
On the other hand, now, let us assume that
; that is,
, and there exists a function
such that
for any
.
To show that , it suffices to check (Theorem 17 and definition of ) that u possesses the right Riemann–Liouville derivative of order , belonging to ; that is, is absolutely continuous on and its delta derivative of order (existing on J) belongs to .
In fact, let
, then
and
. From Theorem 16, it follows that
In view of (10) and (11), we obtain
for any
. Thus,
. Consequently,
is absolutely continuous and its delta derivative is equal to
on
J to
. □
From the proof of Theorem 18 and the uniqueness of the weak fractional derivative, the following theorem follows.
Theorem 19. If and , then the weak left fractional derivative of a function coincides with its right Riemann–Liouville fractional derivative on J.
Remark 4. (1)If and , then and, consequently, - (2)
If and , then is the set of all functions belonging to that satisfy the condition .
By using the definition of with and Theorem 19, one can easily prove the following result.
Theorem 20. Let and and . Then, if and only if there exists a function such that In such a case, there exists the right Riemann–Liouville derivative of u and .
Remark 5. Function g will be called the weak right fractional derivative of order α of . Its uniqueness follows from [7]. From the above theorem, it follows that it coincides with the appropriate Riemann–Liouville derivative. Let us fix
and consider in the space
a norm
given by
Here, denotes the delta norm in (Theorem 9).
Lemma 3. Let and , thenwhere , i.e., the fractional integration operator is bounded in . Proof. The conclusion follows from Theorem 10, Propositions 1 and 2. The proof is complete. □
Theorem 21. If , then the norm is equivalent to the norm given by Proof. Assume that
. On the one hand, for
given by
with
and
. Since
is an increasing monotone function, by using Proposition 1, we can write that
. Moreover, taking into account Lemma 3, we have
where
K is defined in Lemma 3. Noting that
,
, thus, one obtains
where
Consequently,
where
.
On the other hand, now, we will prove that there exists a constant
such that
Indeed, let
and consider coordinate functions
of
with
. Lemma 3, Theorem 11 and Corollary 1 imply that there exist constants
such that
Hence, if, for all
,
, then we can take constants
such that
for fixed
. Therefore, we have
From the absolute continuity (Theorem 6) of
, it follows that
for any
. Consequently, combining with Proposition 3 and Lemma 3, we see that
for
. In particular,
Thus,
where
and
. Thus,
and, consequently,
where
.
If some of or even all of , from the above proof process, we can see that our conclusion is still valid.
When
, then (Remark 4)
is the set of all functions belonging to
that satisfy the condition
. Consequently, in the same way as in the case of
(putting
), we obtain the inequality
The inequality
is obvious (it is sufficient to put
and use the fact that
). The proof is complete. □
We are now in a position to state and prove some basic properties of the introduced space.
Theorem 22. The space is complete with respect to each of the norms and for any and .
Proof. In view of Theorem 21, we only need to show that with the norm is complete. Let be a Cauchy sequence with respect to this norm. Thus, the sequences and are Cauchy sequences in and , respectively.
Let
and
be the limits of the above sequences in
and
, respectively. Then, the function
belongs to
and is the limit of
in
with respect to
. (To assert that
, it is sufficient to consider the cases
and
. In the second case,
for any
and, consequently,
.) The proof is complete. □
In the proofs of the next two theorems, we use the method presented in Proposition VIII.1.
from [
32].
Theorem 23. The space is reflexive with respect to the norm for any and .
Proof. Let us consider
with the norm
and define a mapping
It is obvious that
where
which means that the operator
is an isometric isomorphic mapping and the space
is isometric isomorphic to the space
, which is a closed subset of
as
is closed.
Since is reflexive, the Cartesian product space is also a reflexive space with respect to the norm , where .
Thus, is reflexive with respect to the norm . □
Theorem 24. The space is separable with respect to the norm for any and .
Proof. Let us consider with the norm and the mapping defined in the proof of Theorem 23. Obviously, is separable as a subset of separable space . Since is the isometry, is also separable with respect to the norm . □
Proposition 6. Let and . For all , if or , then If and , then Proof. In view of Remark 4 and Theorem 15, in order to prove inequalities (12) and (13), we only need to prove that
for
or
, and
for
and
.
Firstly, we note that ; the inequality (14) follows from Lemma 3 directly.
We are now in a position to prove (15). For
, choose
q such that
. For all
, since
is an increasing monotone function, by using Proposition 1, we find that
. Taking into account Proposition 2, we have
This completes the proof. □
Remark 6. (i)According to (12), we can consider with respect to the normin the following analysis. - (ii)
It follows from (12) and (13) that is continuously immersed into with the natural norm .
Proposition 7. Let and . Assume that and the sequence converges weakly to u in . Then, in , i.e., , as .
Proof. If , then by (13) and (16), the injection of into , with its natural norm , is continuous, i.e., in , then in .
Since in , it follows that in . In fact, for any , if in , then in , and thus . Therefore, , which means that . Hence, if in , then for any , we have , and thus , i.e., in .
By the Banach–Steinhaus theorem,
is bounded in
and, hence, in
. We are now in a position to prove that the sequence
is equicontinuous. Let
and
,
,
, by using Proposition 2, Proposition 1 and Theorem 12, and noting
, we have
Therefore, the sequence
is equicontinuous since, for
,
, by applying (17) and in view of (16), we have
where
and
is a constant. By the Ascoli–Arzela theorem on time scales (Lemma 2),
is relatively compact in
. By the uniqueness of the weak limit in
, every uniformly convergent subsequence of
converges uniformly on
J to
u. □
Remark 7. It follows from Proposition 7 that is compactly immersed into with the natural norm .
Theorem 25. Let , , , , satisfies
- (i)
For each , is Δ-measurable in t;
- (ii)
For Δ-almost every , is continuously differentiable in .
If there exists , and , , such that, for Δ-a.e. and every , one has Then, the functional Φ defined byis continuously differentiable on , and for all , we have Proof. It suffices to prove that
has, at every point
u, a directional derivative
given by (18) and that the mapping
is continuous. The rest of the proof is similar to the proof of [
33]
Theorem 1.4. We omit it here. The proof is complete. □
5. An Application
In this section, we present a recent approach via variational methods and critical point theory to obtain the existence of weak solutions for the following fractional boundary value problem (FBVP for short) on time scales
where
and
are the left and right Riemann–Liouville fractional derivative operators of order
defined on
, respectively, and function
satisfies the following assumption:
is
-measurable in
t for each
, continuously differentiable in
x for
-a.e.
and there are
,
such that
for all
and
-a.e.
, and
is the gradient of
G at
x.
By constructing a variational structure on , we can reduce the problem of finding weak solutions of (26) to one of seeking the critical points of a corresponding functional.
In particular, when
, FBVP (26) reduces to the standard fractional boundary value problem of the following form
When
, FBVP (26) reduces to the second-order Hamiltonian system on time scale
Although many excellent results have been obtained based on the existence of solutions for fractional boundary value problems [
34,
35,
36,
37,
38,
39,
40] and the second-order Hamiltonian systems on time scale
[
41,
42,
43,
44,
45], it seems that no similar results have been obtained in the literature for FBVP (26) on time scales. The present section seeks to show that the critical point theory is an effective approach to deal with the existence of solutions for FBVP Theorem 26 on time scales.
By Theorem 22, the space
with the inner product
and the induced norm
is a Hilbert space.
Consider the functional
defined by
From now on,
H, which we defined in (
20), will be considered as a functional on
with
. We have the following facts.
Theorem 26. The functional Φ is continuously differentiable on andfor all . Proof. Let
for all
and
. Then, by condition (
),
meets all the requirements of Theorem 25. Therefore, by Theorem 25, it follows that the functional
is continuously differentiable on
and
for all
. The proof is complete. □
Definition 16. A function is called a solution of FBVP (26) if
- (i)
and are differentiable for Δ-a.e. and
- (ii)
u satisfies FBVP (26).
For a solution
of FBVP (26) such that
, multiplying FBVP (26) by
yields
after applying (b) of Theorem 16 and Definition 24. Hence, we can give the definition of a weak solution for FBVP (26) as follows.
Definition 17. By a weak solution for FBVP (26), we mean that a function such that and satisfies (21) for all . By our above remarks, any solution of FBVP (26) is a weak solution provided that . Our task is now to establish a variational structure on with , which enables us to reduce the existence of weak solutions of FBVP (26) to the one of finding critical points of the corresponding functional.
Theorem 27. If , is a critical point of Φ in , i.e., , then u is a weak solution of system (26) with .
Proof. Because of
, it follows from Theorem 26 that
for all
, and hence for all
. Therefore, according to Definition 17,
u is a weak solution of FBVP (26) and the proof is complete. □
According to Theorem 27, we see that in order to find weak solutions of FBVP (26), it suffices to obtain the critical points of the functional
given by (
20). We need to use some critical point theorems. For the reader’s convenience, we present some necessary definitions and theorems and skip the proofs.
Let X be a real Banach space and denote the set of functionals that are Fréchet differentiable and their Fréchet derivatives are continuous on X.
Definition 18 ([
46]).
Let . If any sequence for which is bounded and as possesses a convergent subsequence, then we say ψ satisfies the Palais–Smale condition (denoted as P.S. condition for short). Theorem 28 ([
33]).
Let X be a real reflexive Banach space. If the functional is weakly lower semi-continuous and coercive, i.e., , then there exists such that . Moreover, if ψ is also Fréchet differentiable on X, then . Theorem 29 ([
46] (Mountain pass theorem)).
Let X be a real Banach space and , satisfying the P.S. condition. Assume that- (i)
,
- (ii)
there exist and such that for all with ,
- (iii)
there exists in X with such that .
Then, ψ possesses a critical value . Moreover, c can be characterized aswhere . First, we can solve the existence of weak solutions for FBVP (26) by using Theorem 28. Suppose that the assumption (
) is satisfied. Looking at (
20), the corresponding functional
on
given by
is continuously differentiable according to Theorem 26 and is also weakly lower semi-continuous functional on
as the sum of a convex continuous function and a weakly continuous function.
Actually, in view of Proposition 7, if in , then in . As a result, -a.e. . Using the Lebesgue-dominated convergence theorem on time scales, we obtain , which implies that the functional is weakly continuous on . Furthermore, because the fractional derivative operator on is a linear operator, the functional is convex and continuous on .
If is coercive, using Theorem 28, has a minimum so that FBVP (26) is solvable. It remains to find conditions under which is coercive on , i.e., , for . We shall know that it suffices to require that is bounded by a function for -a.e. and all .
Theorem 30. Let , and suppose that G satisfies (). Ifwhere , , and , then FBVP (26) has at least one weak solution that minimizes φ on . Proof. Taking account of the arguments above, our task reduces to testifying that
is coercive on
. For
, together with (
22), (
12) and the Hölder inequality on time scales, we obtain that
Noting that and , we obtain as , and so is coercive, which completes the proof. □
Let . As a result, we can obtain the following result by Theorem 29.
Corollary 3. For , if F satisfies the condition () and (22) with , then FBVP (26) has at least one weak solution that minimizes Φ on . It is time for us to apply Theorem 29 (Mountain pass theorem) to find a nonzero critical point of functional on .
Theorem 31. Let , and suppose that G satisfies (). If
, and there are and such that for all with and ,
uniformly for and
are satisfied, then FBVP (26) has at least one nonzero weak solution on .
Proof. We will demonstrate that satisfies all the conditions of Theorem 29.
First, we will verify that
satisfies the P.S. condition. Because
is continuous for
and
, there is
such that
In view of condition (
), one has
Let
,
,
,
. Notice that
Combining with (23) and (24), one arrives at
It follows from
that there is
such that
which means that
is bounded. In view of
being a reflexive space, going to a subsequence if necessary, we may suppose that
weakly in
; therefore, one obtains
as
. Furthermore, in view of (13) and Proposition 7, one can find that
is bounded in
and
as
. As a result, one has
Together with (25) and (26), it is not difficult for us to prove that as , and so that in . Hence, we obtain the desired convergence property.
By condition (), there are and such that for all and with .
Let
and
. Then, in light of (13), one sees that
for all
with
. Hence, combining with (
12), one obtains
for all
with
. This implies that (
ii) in Theorem 29 is satisfied.
It follows from the definition of and condition () that , and so it suffices to prove that satisfies (iii) in Theorem 29.
For
,
and
, let
In view of (
), when
, one obtains
In addition, taking the expression of
and
in (
27) into account, we can easily obtain that
satisfies
Therefore, when
, we have
Thus, for
and
, together with (
), one obtains
which implies that
For any
with
,
and noting that
, one has
as
. Then, there is a sufficiently large
such that
. As a result, (
iii) of Theorem 29 holds.
Lastly, note that , while, for our critical point u, . Therefore, u is a nontrivial weak solution of the FBVP (26), and this completes the proof. □
Corollary 4. For all , assume that G satisfies conditions () and (). If
, as uniformly for and
is satisfied, then the FBVP (26) has at least one nonzero weak solution on .