Positive Solution of Singular Boundary Value Problem for a Nonlinear Fractional Differential Equation

The method of upper and lower solutions and the Schauder fixed point theorem are used to investigate the existence and uniqueness of a positive solution to a singular boundary value problem for a class of nonlinear fractional differential equations with non-monotone term. Moreover, the existence of maximal and minimal solutions for the problem is also given.

Fractional differential equation can be extensively applied to various disciplines such as physics, mechanics, chemistry, and engineering, see [1–3]. Hence, in recent years, fractional differential equations have been of great interest, and there have been many results on existence and uniqueness of the solution of boundary value problems for fractional differential equations, see [4–7]. Especially, in [8] the authors have studied the following type of fractional differential equations:

(1.1)

where is a real number, is continuous and is the fractional derivative in the sense of Riemann-Liouville. Recently, Qiu and Bai [9] have proved the existence of a positive solution to boundary value problems of the nonlinear fractional differential equations

(1.2)

where , denotes Caputo derivative, and with (i.e., is singular at ). Their analysis relies on Krasnoselskii's fixed-point theorem and nonlinear alternative of Leray-Schauder type in a cone. More recently, Caballero Mena et al. [10] have proved the existence and uniqueness of a positive and non-decreasing solution to this problem by a fixed-point theorem in partially ordered sets. Other related results on the boundary value problem of the fractional differential equations can be found in the papers [11–23]. A study of a coupled differential system of fractional order is also very significant because this kind of system can often occur in applications [24–26].

However, in the previous works [9, 10], the nonlinear term has to satisfy the monotone or other control conditions. In fact, the nonlinear fractional differential equation with non-monotone term can respond better to impersonal law, so it is very important to weaken control conditions of the nonlinear term. In this paper, we mainly investigate the fractional differential (1.2) without any monotone requirement on nonlinear term by constructing upper and lower control function and exploiting the method of upper and lower solutions and Schauder fixed-point theorem. The existence and uniqueness of positive solution for (1.2) is obtained. Some properties concerning the maximal and minimal solutions are also given. This work is motivated by the above references and my previous work [27]. This paper is organized as follows. In Section 2, we recall briefly some notions of the fractional calculus and the theory of the operators for integration and differentiation of fractional order. Section 3 is devoted to the study of the existence and uniqueness of positive solution for (1.2) utilizing the method of upper and lower solutions and Schauder fixed-point theorem. The existence of maximal and minimal solutions for (1.2) is given in Section 4.

For the convenience of the reader, we present here the necessary definitions and properties from fractional calculus theory, which are used throughout this paper.

Definition 2.1.

The Riemann-Liouville fractional integral of order of a function is given by

(2.1)

provided that the right-hand side is pointwise defined on .

Definition 2.2.

The Caputo fractional derivative of order of a continuous function is given by

(2.2)

where , , provided that the right-hand side is pointwise defined on .

Lemma 2.3 (see [28]).

Let , , , then

(2.3)

Lemma 2.4 (see [28]).

The relation

(2.4)

is valid when , , .

Lemma 2.5 (see [9]).

Let , ; is a continuous function and . If is continuous function on , then the function

(2.5)

is continuous on , where

(2.6)

Lemma 2.6.

Let , ; is a continuous function and . If is continuous function on , then the boundary value problems (1.2) are equivalent to the Volterra integral equations

(2.7)

Proof.

From Lemma 2.5, the Volterra integral equation (2.7) is well defined. If satisfies the boundary value problems (1.2), then applying to both sides of (1.2) and using Lemma 2.3, one has

(2.8)

where , . Since is continuous in , there exists a constant , such that , for . Hence

(2.9)

where denotes the beta function. Thus, as . In the similar way, we can prove that as .

By Lemma 2.4 we have

(2.10)

From the boundary conditions , one has

(2.11)

Therefore, it follows from (2.8) that

(2.12)

Namely, (2.7) follows.

Conversely, suppose that satisfies (2.7), then we have

(2.13)

From Lemmas 2.3 and 2.4 and Definition 2.2, one has

(2.14)

as well as

(2.15)

Thus, from (2.12), (2.14), and (2.15), it is follows that

(2.16)

Namely, (1.2) holds. The proof is therefore completed.

Remark 2.7.

For , since , we can obtain

(2.17)

Hence, it is follow from (2.6) that , for and .

Let is the Banach space endowed with the infinity norm, is a nonempty closed subset of defined as . The positive solution which we consider in this paper is a function such that .

According to Lemma 2.6, (1.2) is equivalent to the fractional integral equation (2.7). The integral equation (2.7) is also equivalent to fixed-point equation , , where operator is defined as

(2.18)

then we have the following lemma.

Lemma 2.8 (see [9]).

Let , , is a continuous function and . If is continuous function on , then the operator is completely continuous.

Let , , is a continuous function, , and is continuous function on . Take , and . For any , , we define the upper-control function , and lower-control function , it is obvious that are monotonous non-decreasing on and .

Definition 2.9.

Let , , and satisfy, respectively

(2.19)

then the function are called a pair of order upper and lower solutions for (1.2).

Now, we give and prove the main results of this paper.

Theorem 3.1.

Let , ; is a continuous function with , and is a continuous function on . Assume that are a pair of order upper and lower solutions of (1.2), then the boundary value problem (1.2) has at least one solution , moreover,

(3.1)

Proof.

Let

(3.2)

endowed with the norm , then we have . Hence is a convex, bounded, and closed subset of the Banach space . According to Lemma 2.8, the operator is completely continuous. Then we need only to prove .

For any , we have . In view of Remark 2.7, Definition 2.9, and the definition of control function, one has

(3.3)

Hence , , that is, . According to Schauder fixed-point theorem, the operator has at least a fixed-point , . Therefore the boundary value problem (1.2) has at least one solution , and , .

Corollary 3.2.

Let , ; is a continuous function with , and is a continuous function on . Assume that there exist two distinct positive constant , such that

(3.4)

then the boundary value problem (1.2) has at least a positive solution , moreover

(3.5)

Proof.

By assumption (3.4) and the definition of control function, we have

(3.6)

Now, we consider the equation

(3.7)

From Lemmas 2.5 and 2.6, (3.7) has a positive continuous solution on

(3.8)

Namely, is a upper solution of (1.2). In the similar way, we obtain is the lower solution of (1.2). An application of Theorem 3.1 now yields that the boundary value problem (1.2) has at least a positive solution , moreover

(3.9)

Theorem 3.3.

If the conditions in Theorem 3.1 hold. Moreover for any , , there exists , such that

(3.10)

then when , the boundary value problem (1.2) has a unique positive solution .

Proof.

According to Theorem 3.1, if the conditions in Theorem 3.1 hold, then the boundary value problems (1.2) have at least a positive solution in . Hence we need only to prove that the operator defined in (2.18) is the contraction mapping in . In fact, for any , by assumption (3.10), we have

(3.11)

Note that, from Lemma 2.5, is a continuous function on . Thus, when , the operator is the contraction mapping. Then by Banach contraction fixed-point theorem, the boundary value problem (1.2) has a unique positive solution .

In this section, we consider the existence of maximal and minimal solutions for (1.2).

Definition 4.1.

Let be a solution of (1.2) in , then is said to be a maximal solution of (1.2), if for every solution of (1.2) existing on , the inequality , , holds. A minimal solution may be defined similarly by reversing the last inequality.

Theorem 4.2.

Let , , is a continuous function with , and is a continuous function on . Assume that is monotone non-decreasing with respect to the second variable, and there exist two positive constants such that

(4.1)

Then there exist maximal solution and minimal solution of (1.2) on , moreover

(4.2)

Proof.

It is easy to know from Corollary 3.2  that and are the upper and lower solutions of (1.2), respectively. Then by using , as a pair of coupled initial iterations we construct two sequences , from the following linear iteration process:

(4.3)

It is easy to show from the monotone property of and the condition (4.1)  that the sequences , possess the following monotone property:

(4.4)

The above property implies that

(4.5)

exist and satisfy the relation

(4.6)

Letting in (4.3) shows that and satisfy the equations

(4.7)

It is easy to verify that the limits   and  are maximal and minimal solutions of (1.2) in

(4.8)

respectively, furthermore, if then is the unique solution in , and hence the proof is completed.

Finally, we give an example to illuminate our results.

Example 4.3.

We consider the fractional order differential equation

(4.9)

where , . It is obvious from that , . By Corollary 3.2, then (4.9) has a positive solution. Nevertheless it is easy to prove that the conclusions of [9, 10] cannot be applied to the above example.

The authors are grateful to the referee for the comments. This work is supported by Natural Science Foundation Project of CQ CSTC (Grants nos. 2008BB7415, 2010BB9401) of China, Ministry of Education Project (Grant no. 708047) of China, Science and Technology Project of Chongqing municipal education committee (Grant no. KJ100513) of China, the NSFC (Grant no. 51005264) of China.

Affiliations

1. College of Mathematics and Physics, Chongqing University of Posts and Telecommunications, Chongqing, 400065, China

   • Changyou Wang
   •  & Chunde Yang

2. Key Laboratory of Network Control & Intelligent Instrument, Chongqing University of Posts and Telecommunications, Ministry of Education, Chongqing, 400065, China

   • Changyou Wang
   •  & Ruifang Wang

3. College of Applied Sciences, Beijing University of Technology, Beijing, 100124, China

   • Changyou Wang
   •  & Shu Wang

4. Automation Institute, Chongqing University of Posts and Telecommunications, Chongqing, 400065, China

   • Ruifang Wang

Corresponding author

Correspondence to Changyou Wang.

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