A Note on Fractional Equations of Volterra Type with Nonlocal Boundary Condition
Abstract
We deal with nonlocal boundary value problems of fractional equations of Volterra type involving Riemann-Liouville derivative. Firstly, by defining a weighted norm and using the Banach fixed point theorem, we show the existence and uniqueness of solutions. Then, we obtain the existence of extremal solutions by use of the monotone iterative technique. Finally, an example illustrates the results.
1. Introduction
Fractional differential equations arise in many engineering and scientific disciplines as the mathematical modeling of systems and processes in the fields of physics, chemistry, aerodynamics, and so forth. There has been a significant theoretical development in fractional differential equations in recent years (see [1–18]). Monotone iterative technique is a useful tool for analyzing fractional differential equations.
Firstly, the nonlocal condition can be more useful than the standard initial condition to describe many physical and chemical phenomena. In contrast to the case for initial value problems, not much attention has been paid to the nonlocal fractional boundary value problems. Some recent results on the existence and uniqueness of nonlocal fractional boundary value problems can be found in [1, 2, 12, 14, 18]. However, discussion on nonlocal boundary value problems of fractional equations of Volterra type involving Riemann-Liouville derivative is rare. Secondly, in [3], in order to discuss the existence and uniqueness of problem (1), Jankowski divided q ∈ (0,1) into two situations to discuss; one is 0 < q ≤ 1/2 with an additional condition and the other is 1/2 < q < 1. In this paper, we unify the two situations without using the additional condition. Thirdly, for the study of differential equation, monotone iterative technique is a useful tool (see [9, 10, 16, 17]). We know that it is important to build a comparison result when we use the monotone iterative technique. We transform the differential equation into integral equation and use the integral equation to build the comparison result which is different from [3]. It makes the calculation easier and is suitable for the more complicated forms of equations.
The paper is organized as follows. In Section 2, we present some useful definitions and fundamental facts of fractional calculus theory. In Section 3, by applying Banach fixed point theorem, we prove the existence and uniqueness of solution for problem (2). In Section 4, by the utility of the monotone iterative technique, we prove that (2) has extremal solutions. At last, we give an example to illustrate our main results.
2. Preliminaries
Let C1−α(J, R) = {x ∈ C((0, T], R) : t1−αx(t) ∈ C(J, R)} with the norm , where λ is a fixed positive constant which will be fixed in Section 3. Obviously, the space C1−α(J, R) is a Banach space. Now, let us recall the following definitions from fractional calculus. For more details, one can see [5, 11].
Definition 1. For α > 0, the integral
Definition 2. The Riemann-Liouville derivative of order α (n − 1 < α ≤ n) can be written as
Lemma 3 (see [5].)Let n − 1 < α ≤ n. If f(t) ∈ L(0, T) and , then one has the following equality:
3. Existence and Uniqueness of Solutions
- (H1)
There exist nonnegative constants L1, L2, and W such that |k(t, s)| ≤ W, for all (t, s) ∈ Δ, and
() - (H2)
There exists a nonnegative constant L3 ∈ (0,1) such that
()
Lemma 4. Let (H1) hold. x ∈ C1−α(J) and x is a solution of the following problem:
Proof. Assume that x(t) satisfies (8). From the first equation of (8) and Lemma 3, we have
Theorem 5. Let (H1), (H2) hold, f ∈ C(J × R2, R), and k ∈ C(Δ, R). Then problem (2) has a unique solution.
Proof. Define the operator N : C1−α(J) → C1−α(J) by
Then, for any x, y ∈ C1−α(J), we have from (H1), (H2), and the Hölder inequality
4. The Monotone Iterative Technique for Problem (2)
In this section, the monotone iterative technique is presented and constructed for problem (2). This method leads to a simple and yet efficient linear iterative algorithm. It yields two sequences of iterations that converge monotonically from above and below, respectively, to a solution of the problem.
Lemma 7. Let 0 < α < 1, M, N ∈ C(J), |M(t)| ≤ M1, |N(t)| ≤ N1. Suppose that
Proof. Suppose that the inequality p(t) ≤ 0, for all t ∈ (0, T], is not true. Therefore, there exists at least a t* ∈ (0, T] such that . Without loss of generality, we assume .
We obtain that
Definition 8. We say that x0 ∈ C1−α(J) is called a lower solution of problem (2) if
In the following discussion, we need the following assumptions.
- (H3)
Assume that g : C1−α(J) → R is a nondecreasing continuous function, f(t, β1, β2) ∈ C1−α(J) for all t ∈ J, x0 ≤ β1 ≤ y0, . x0 and y0 are lower and upper solutions of problem (2), respectively, and x0 ≤ y0.
- (H4)
Consider
() -
where x0 ≤ u1 ≤ v1 ≤ y0, . M, N ∈ C(J).
Let .
Theorem 9. Let inequality (17), (H2)–(H4) hold. Then there exist monotone sequences {xn},{yn}⊂[x0, y0] which converge uniformly to the extremal solutions of (2) in [x0, y0], respectively.
Proof. This proof consists of the following three steps.
Step 1. Construct the sequences {xn}, {yn}.
For any η ∈ [x0, y0], we consider the following linear problem:
Setting p(t) = z1(t) − z2(t), z1(t) = Aη1(t), and z2(t) = Aη2(t), by (26), we obtain
Step 2. The sequences {t1−αxn}, {t1−αyn} converge uniformly to t1−αx*, t1−αy*, respectively.
In fact, xn, yn satisfy the following relation:
Step 3. x*, y* are extremal solutions of (1).
x*, y* are solutions of (1) on [x0, y0], because of the continuity of operator A. Let z ∈ [x0, y0] be any solution of (1). That is,
5. An Example
Example 1. Consider the following problem:
Let w = 1, L1 = 1/60, L2 = 1/30, and L3 = 1/12.
It is easy to check that
Consider the same equation as (34), taking x0(t) = 0, y0(t) = t−1/2 + 6, and then we have .
Moreover,
Acknowledgments
The project is supported by NNSF of China Grant nos. 11271087, 61263006 and Guangxi Scientific Experimental (China-ASEAN Research) Centre no. 20120116.