1 Introduction

The study of three-point BVPs for nonlinear integer-order ordinary differential equations was initiated by Gupta [1]. Many authors since then considered the existence and multiplicity of solutions (or positive solutions) of three-point BVPs for nonlinear integer-order ordinary differential equations. To identify a few, we refer the reader to [213] and the references therein.

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, electrodynamics of complex medium, polymer rheology, etc. [1417]. In fact, fractional-order models have proved to be more accurate than integer-order models, i.e., there are more degrees of freedom in the fractional-order models. In consequence, the subject of fractional differential equations is gaining much importance and attention. For details, see [1836] and the references therein.

Differential equations with deviated arguments are found to be important mathematical tools for the better understanding of several real world problems in physics, mechanics, engineering, economics, etc. [37, 38]. In fact, the theory of integer order differential equations with deviated arguments has found its extensive applications in realistic mathematical modelling of a wide variety of practical situations and has emerged as an important area of investigation. For the general theory and applications of integer order differential equations with deviated arguments, we refer the reader to the references [3945].

As far as we know, fractional order differential equations with deviated arguments have not been much studied and many aspects of these equations are yet to be explored. For some recent work on equations of fractional order with deviated arguments, see [4648] and the references therein. In this article, we consider the following three-point BVPs for nonlinear fractional-order differential equation with an advanced argument

(1.1)

where 2 < α ≤ 3, 0 < η < 1, , C D α is the Caputo fractional derivative and f : [0, ) → [0, ) is a continuous function.

By a positive solution of (1.1), one means a function u(t) that is positive on 0 < t < 1 and satisfies (1.1).

Our purpose here is to give the existence of at least one positive solution to problem (1.1), assuming that

(H 1): aC ([0, 1], [0, )) and a does not vanish identically on any subinterval.

(H 2): The advanced argument θC((0, 1), (0, 1)) and t ≤ θ(t) 1, ∀t ∈ (0, 1).

Let E = C[0, 1] be the Banach space endowed with the sup-norm. Set

The main results of this paper are as follows.

Theorem 1.1 Assume that (H 1) and (H 2) hold. If f 0 = ∞ and f = 0, then problem (1.1) has at least one positive solution.

Theorem 1.2 Assume that (H 1) and (H 2) hold. If f 0 = ∞ and f = ∞, then problem (1.1) has at least one positive solution.

Remark 1.1 It is worth mentioning that the conditions of our theorems are easily to verify, so they are applicable to a variety of problems, see Examples 4.1 and 4.2.

The proof of our main results is based upon the following well-known Guo-Krasnoselskii fixed point theorem:

Theorem 1.3 [49] Let E be a Banach space, and let PE be a cone. Assume that Ω1, Ω2 are open subsets of E with 0 ∈ Ω1, , and let be a completely continuous operator such that

  1. (i)

    ||Tu|| ≥ ||u||, uP ∩ ∂ Ω1, and ||Tu|| ≤ ||u||, uP ∩ ∂ Ω2; or

  2. (ii)

    ||Tu|| ≤ ||u||, uP ∩ ∂ Ω1, and ||Tu||||u||, uP ∩ ∂ Ω2.

Then T has a fixed point in .

2 Preliminaries

For the reader's convenience, we present some necessary definitions from fractional calculus theory and Lemmas.

Definition 2.1 For a function f : [0, ) ℝ, the Caputo derivative of fractional order α is defined as

where [α] denotes the integer part of real number α.

Definition 2.2 The Riemann-Liouville fractional integral of order α is defined as

provided the integral exists.

Definition 2.3 The Riemann-Liouville fractional derivative of order α for a function f(t) is defined by

provided the right-hand side is pointwise defined on (0, ∞).

Lemma 2.1 [15] Let α > 0, then fractional differential equation

has solution

where n is the smallest integer greater than or equal to α.

Lemma 2.2 [15] Let α > 0, then

for some C i ∈ ℝ, i = 0, 1, 2, . . . , N - 1, where N is the smallest integer greater than or equal to α.

Lemma 2.3 Let 2 < α ≤ 3, 1 ≠ βη. Assume y(t) ∈ C[0, 1], then the following problem

(2.1)
(2.2)

has a unique solution

Proof. We may apply Lemma 2.2 to reduce Equation (2.1) to an equivalent integral equation

(2.3)

for some b 1, b 2, b 3 ∈ ℝ.

In view of the relation C D α I α u(t) = u(t) and I α I β u(t) = I α+β u(t) for α, β > 0, we can get that

By u(0) = u″ (0) = 0, it follows b 1 = b 3 = 0. Then by the condition βu(η) = u(1), we have

Combine with (2.3), we get

This complete the proof.

Lemma 2.4 Let 2 < α ≤ 3, . Assume yC([0, 1], [0, ∞)), then the unique solution u of (2.1) and (2.2) satisfies u(t) 0, ∀t ∈ [0, 1].

Proof. By Lemma 2.3, we know that . It means that the graph of u(t) is concave down on (0, 1).

In addition,

Combine with u(0) = 0, it follows u(t) 0, ∀t ∈ [0, 1].

Lemma 2.5 Let 2 < α ≤ 3, . Assume yC([0, 1], [0, ∞)), then the unique solution u of (2.1) and (2.2) satisfies

where .

Proof. Note that u" (t) ≤ 0, by applying the concavity of u, the proof is easy. So we omit it.

3 Proofs of main theorems

Define the operator T : C[0, 1] → C[0, 1] as follows,

(3.1)

Then the problem (1.1) has a solution if and only if the operator T has a fixed point.

Define the cone , where .

Proof of Theorem 1.1. The operator T is completely continuous. Obviously, T is continuous.

Let Ω ⊂ C[0, 1] be bounded, then there exists a constant K > 0 such that ||a(t) f (u (θ(t))|| ≤ K, ∀u ∈ Ω. Thus, we have

which implies .

On the other hand, we have

Hence, for each u ∈ Ω, let t 1, t 2 ∈ [0, 1], t 1 < t 2, we have

So, T is equicontinuous. The Arzela-Ascoli Theorem implies that T : C[0, 1] → C[0, 1] is completely continuous.

Since t ≤ θ (t) 1, t ∈ (0, 1), then

(3.2)

Thus, Lemmas 2.5 and 3.2 show that TPP. Then, T : P → P is completely continuous.

In view of f 0 = ∞, there exists a constant ρ 1 > 0 such that f(u) ≥ δ 1 u for 0 < u < ρ 1, where δ 1 > 0 satisfies

(3.3)

Take uP , such that ||u|| = ρ 1. Then, we have

(3.4)

Let Ω ρ 1= {uC 0[1] | ||u|| < ρ 1}. Thus, (3.4) shows ||Tu|| ≥ ||u||, .

Next, in view of f = 0, there exists a constant R > ρ 1 such that f(u) ≤ δ 2 u for u ≥ R, where δ 2 > 0 satisfies

(3.5)

We consider the following two cases.

Case one. f is bounded, which implies that there exists a constant r 1 > 0 such that f(u) ≤ r 1 for u ∈ [0, ∞). Now, we may choose uP such that ||u|| = ρ 2, where ρ 2 max {μ, R}.

Then we have

Case two. f is unbounded, which implies then there exists a constant such that f(u) ≤ f(ρ 2) for 0 < u ≤ ρ 2 (note that fC([0, ∞), [0, ∞)). Let uP such that ||u|| = ρ 2, we have

Hence, in either case, we may always let Ω ρ 2= {uC[0, 1] | ||u|| < ρ 2} such that ||Tu|| ≤ ||u|| for .

Thus, by the first part of Guo-Krasnoselskii fixed point theorem, we can conclude that (1.1) has at least one positive solution.

Proof of Theorem 1.2. Now, in view of f 0 = 0, there exists a constant r 1 > 0 such that f(u) ≤ τ 1 u for 0 < u < r 1, where τ 1 > 0 satisfies

(3.6)

Take uP, such that ||u|| = r 1. Then, we have

(3.7)

Let Ω1 = {uC[0, 1] | ||u|| < r 1}. Thus, (3.7) shows ||Tu|| ≤ ||u||, uP ∩ ∂Ω 1.

Next, in view of f = , there exists a constant r 2 > r 1 such that f(u) ≥ τ 2 u for u ≥ r 2, where τ 2 > 0 satisfies

(3.8)

Let Ω2 = {uC[0, 1] | ||u|| < ρ 2},where , then, uP and ||u|| = ρ 2 implies

and so

This shows that ||Tu|| ≥ ||u|| for uP ∩ ∂Ω 2.

Therefore, by the second part of Guo-Krasnoselskii fixed point theorem, we can conclude that (1.1) has at least one positive solution .

4 Examples

Example 4.1 Consider the fractional differential equation

(4.1)

where 2 < α ≤ 3, 0 < η < 1, , θ(t) = t v, 0 < v < 1 and

Note that conditions (H 1) and (H 2) of Theorem 1.1 hold. Through a simple calculation we can get f 0 = ∞ and f = 0. Thus, by Theorem 1.1, we can get that the problem (4.1) has at least one positive solution.

Example 4.2 Consider the fractional differential equation

(4.2)

where 2 < α ≤ 3, 0 < η < 1, , and

Obviously, it is not difficult to verify conditions (H 1) and (H 2) of Theorem 1.2 hold. Through a simple calculation we can get f 0 = 0 and f = . Thus, by Theorem 1.2, we can get that the problem (4.2) has at least one positive solution.

Remark 4.1 In the above two examples, α, β, η could be any constants which satisfy 2 < α ≤ 3, 0 < η < 1, . For example, we can take α = 2.5, η = 0.5, β = 1.5.