1 Introduction

Fractional calculus is an emerging field recently drawing attention from both theoretical and applied disciplines. Fractional order differential equations play a vital role in describing many phenomena related to physics, chemistry, mechanics, control systems, flow in porous media, electrical networks, mathematical biology and viscoelasticity. For a reader interested in the systematic development of the topic, we refer to the books [13]. A variety of results on initial and boundary value problems of fractional differential equations and inclusions can easily be found in the literature on the topic. For some recent results, we can refer to [412] and references cited therein.

Discrete fractional calculus and fractional difference equations represent a very new area for researchers. Some real-world phenomena are being studied with the help of discrete fractional operators. A good account of papers dealing with discrete fractional boundary value problems can be found in [1326] and references cited therein.

Goodrich in [22] considered a discrete fractional boundary value problem of the form

{ Δ ν x ( t ) = f ( t , x ( t + ν 1 ) ) , t [ 0 , T ] N 0 : = { 0 , 1 , , T } , x ( ν 2 ) = 0 , x ( ν + T ) = g ( x ) ,
(1.1)

where 1<ν2, f: [ ν 2 , , ν + T 1 ] N ν 2 ×RR is a continuous function and g:C( [ ν 2 , ν + T ] N ν 2 ,R) is a given function. Existence and uniqueness of solutions are obtained by the contraction mapping theorem, the Brouwer theorem and the Guo-Krasnoselskii theorem.

Pan et al. in [26] examined the fractional boundary value problem

{ Δ ν μ ν x ( t ) = f ( t , x ( t + ν 1 ) ) , t { 0 , 1 , , T + M } , x ( ν N ) = = x ( ν 3 ) = 0 , x ( ν 2 ) = g ( x ) , Δ ν N μ x ( T + M + ν μ ) = 0 ,
(1.2)

where ν2, NN so that N1<νN, 1μ<ν, MN so that M1<νM, f:{0,1,,T+M}×RR is continuous and nonnegative for x0, and g:C([νN,,T+M+ν],R) is a given function. Existence and uniqueness of solutions are obtained by the contraction mapping theorem and the Brouwer theorem.

In this paper we consider the nonlinear discrete fractional boundary value problem of the form

{ Δ α x ( t ) = f ( t + α 1 , x ( t + α 1 ) ) , t [ 0 , T ] N 0 : = { 0 , 1 , , T } , x ( α 2 ) = 0 , x ( α + T ) = Δ β x ( η + β ) ,
(1.3)

where 1<α2, β>0, η N α 2 , α + T 1 :={α2,α1,,α+T2,α+T1} and f: [ α 1 , , α + T 1 ] N α 1 ×RR is a continuous function.

The plan of this paper is as follows. In Section 2 we recall some definitions and basic lemmas. Also, we derive a representation for the solution to (1.3) by converting the problem to an equivalent summation equation. In Section 3, using this representation, we prove existence and uniqueness of the solutions of boundary value problem (1.3) by the help of the contraction mapping theorem, the nonlinear contraction theorem and Schaefer’s fixed point theorem. Some illustrative examples are presented in Section 4.

2 Preliminaries

In this section, we introduce notations, definitions and lemmas which are used in the main results.

Definition 2.1 We define the generalized falling function by t α ̲ := Γ ( t + 1 ) Γ ( t + 1 α ) , for any t and α, for which the right-hand side is defined. If t+1α is a pole of the gamma function and t+1 is not a pole, then t α ̲ =0.

Definition 2.2 The α th fractional sum of a function f, for α>0, is defined by

Δ α f(t)= Δ α f(t;a):= 1 Γ ( α ) s = a t α ( t σ ( s ) ) α 1 ̲ f(s)
(2.1)

for t{a+α,a+α+1,}:= N a + α and σ(s)=s+1. We also define the α th fractional difference for α>0 by Δ α f(t):= Δ N Δ α N f(t), where t N a + α and NN is chosen so that 0N1<αN.

Lemma 2.1 Let t and α be any numbers for which t α ̲ and t α 1 ̲ are defined. ThenΔ t α ̲ =α t α 1 ̲ .

Lemma 2.2 Let0N1<αN. Then

Δ α Δ α y(t)=y(t)+ C 1 t α 1 ̲ + C 2 t α 2 ̲ ++ C N t α N ̲ ,

for some C i R, with1iN.

To define the solution of boundary value problem (1.3), we need the following lemma which deals with linear variant of boundary value problem (1.3) and gives a representation of the solution.

Lemma 2.3 Let

s = 1 η α + 2 ( η + β s α + 1 ) β 1 ̲ Γ ( s + α 1 ) Γ ( β ) Γ ( s ) Γ ( α + T + 1 ) Γ ( T + 2 )

andh: [ α 1 , , α + T 1 ] N α 1 Rbe given. Then the problem

{ Δ α x ( t ) = h ( t + α 1 ) , t [ 0 , T ] N 0 , α ( 1 , 2 ] , x ( α 2 ) = 0 , x ( α + T ) = Δ β x ( η + β ) , η N α 2 , α + T 1 , β > 0 ,
(2.2)

has a unique solution

x ( t ) = t α 1 ̲ Λ Γ ( α ) [ 1 Γ ( β ) s = α η ξ = 0 s α ( η + β σ ( s ) ) β 1 ̲ ( s σ ( ξ ) ) α 1 ̲ h ( ξ + α 1 ) s = 0 T ( T + α σ ( s ) ) α 1 ̲ h ( s + α 1 ) ] + 1 Γ ( α ) s = 0 t α ( t σ ( s ) ) α 1 ̲ h ( s + α 1 ) ,
(2.3)

where

Λ= s = 1 η α + 2 ( η + β s α + 1 ) β 1 ̲ Γ ( s + α 1 ) Γ ( β ) Γ ( s ) Γ ( α + T + 1 ) Γ ( T + 2 ) .
(2.4)

Proof From Lemma 2.2, we find that a general solution for (2.2) can be written as

x(t)= C 1 t α 1 ̲ + C 2 t α 2 ̲ + Δ α h(t+α1)
(2.5)

for t [ α 2 , α + T ] N α 2 . Applying the first boundary condition of (2.2) and using ( α 2 ) α 1 ̲ = Γ ( α 1 ) Γ ( 0 ) =0, we have C 2 =0. So,

x(t)= C 1 t α 1 ̲ + Δ α h(t+α1).
(2.6)

Using the fractional sum of order β>0 for (2.6), we obtain

Δ β x ( t ) = 1 Γ ( β ) s = α 2 t β ( t σ ( s ) ) β 1 ̲ x ( s ) = C 1 Γ ( β ) s = α 2 t β ( t σ ( s ) ) β 1 ̲ s α 1 + 1 Γ ( β ) Γ ( α ) s = α 2 t β ξ = 0 s α ( t σ ( s ) ) β 1 ̲ ( s σ ( ξ ) ) α 1 ̲ h ( ξ + α 1 ) .

The second condition of (2.2) implies

Δ β x ( η + β ) = C 1 Γ ( β ) s = α 2 η ( η + β σ ( s ) ) β 1 ̲ s α 1 + 1 Γ ( β ) Γ ( α ) s = α 2 η ξ = 0 s α ( η + β σ ( s ) ) β 1 ̲ ( s σ ( ξ ) ) α 1 ̲ h ( ξ + α 1 ) = C 1 ( α + T ) α 1 ̲ + 1 Γ ( α ) s = 0 T ( T + α σ ( s ) ) α 1 ̲ h ( s + α 1 ) .

Solving the above equation for a constant C 1 , we get

C 1 = 1 Λ Γ ( α ) s = 0 T ( T + α σ ( s ) ) α 1 ̲ h ( s + α 1 ) 1 Λ Γ ( β ) Γ ( α ) s = α 2 η ξ = 0 s α ( η + β σ ( s ) ) β 1 ̲ ( s σ ( ξ ) ) α 1 ̲ h ( ξ + α 1 ) ,

where Λ is defined by (2.4). From the fact that j i =0 for i<j, we have

C 1 = 1 Λ Γ ( α ) s = 0 T ( T + α σ ( s ) ) α 1 ̲ h ( s + α 1 ) 1 Λ Γ ( β ) Γ ( α ) s = α η ξ = 0 s α ( η + β σ ( s ) ) β 1 ̲ ( s σ ( ξ ) ) α 1 ̲ h ( ξ + α 1 ) .

Substituting a constant C 1 into (2.6), we obtain (2.3). □

3 Main results

In this section, we wish to establish the existence results for problem (1.3). To accomplish this, we define C( [ α 2 , α + T ] N α 2 ,R), the Banach space of all function x with the norm defined by x=max{|x(t)|,t [ α 2 , α + T ] N α 2 } and also define an operator F:C( [ α 2 , α + T ] N α 2 ,R)C( [ α 2 , α + T ] N α 2 ,R) by

F x ( t ) = t α 1 ̲ Λ Γ ( α ) [ 1 Γ ( β ) s = α η ξ = 0 s α ( η + β σ ( s ) ) β 1 ̲ × ( s σ ( ξ ) ) α 1 ̲ f ( ξ + α 1 , x ( ξ + α 1 ) ) s = 0 T ( T + α σ ( s ) ) α 1 ̲ f ( s + α 1 , x ( s + α 1 ) ) ] + 1 Γ ( α ) s = 0 t α ( t σ ( s ) ) α 1 ̲ f ( s + α 1 , x ( s + α 1 ) ) ,
(3.1)

for t [ α 2 , α + T ] N α 2 , where Λ0 is defined by (2.4). It is easy to see that problem (1.3) has solutions if and only if the operator F has fixed points.

Theorem 3.1 Suppose that there exists a constantγ>0such that|f(t,x)f(t,y)|γ|xy|for eacht [ α 2 , α + T ] N α 2 andx,yR. If

γΩ<1,
(3.2)

where

Ω = Γ ( T + α + 1 ) | Λ | Γ ( α ) Γ ( T + 2 ) [ 1 Γ ( β ) s = α η ξ = 0 s α ( η + β σ ( s ) ) β 1 ̲ ( s σ ( ξ ) ) α 1 ̲ + s = 0 T ( T + α σ ( s ) ) α 1 ̲ ] + Γ ( T + α + 1 ) Γ ( T + 1 ) Γ ( α + 1 ) ,
(3.3)

then problem (1.3) has a unique solution in [ α 2 , α + T ] N α 2 .

Proof Firstly, we transform problem (1.3) into a fixed point problem, x=Fx, where the operator F:C( [ α 2 , α + T ] N α 2 ,R)C( [ α 2 , α + T ] N α 2 ,R) is defined by (3.1). Then, for any x,yC( [ α 2 , α + T ] N α 2 ,R), we have

| ( F x ) ( t ) ( F y ) ( t ) | γ x y | Λ | Γ ( α ) [ 1 Γ ( β ) s = α η ξ = 0 s α ( η + β σ ( s ) ) β 1 ̲ ( s σ ( ξ ) ) α 1 ̲ + s = 0 T ( T + α σ ( s ) ) α 1 ̲ ] max t [ α 2 , α + T ] N α 2 t α 1 ̲ + γ x y Γ ( α ) max t [ α 2 , α + T ] N α 2 s = 0 t α ( t σ ( s ) ) α 1 ̲ γ x y | Λ | Γ ( α ) [ 1 Γ ( β ) s = α η ξ = 0 s α ( η + β σ ( s ) ) β 1 ̲ ( s σ ( ξ ) ) α 1 ̲ + s = 0 T ( T + α σ ( s ) ) α 1 ̲ ] max t [ α 2 , α + T ] N α 2 Γ ( t + 1 ) Γ ( t α + 2 ) + γ x y Γ ( α ) max t [ α 2 , α + T ] N α 2 [ 1 α ( t s ) α ̲ ] s = 0 t α + 1 γ x y | Λ | Γ ( α ) [ 1 Γ ( β ) s = α η ξ = 0 s α ( η + β σ ( s ) ) β 1 ̲ ( s σ ( ξ ) ) α 1 ̲ + s = 0 T ( T + α σ ( s ) ) α 1 ̲ ] Γ ( T + α + 1 ) Γ ( T + 2 ) + γ x y max t [ α 2 , α + T ] N α 2 Γ ( t + 1 ) Γ ( t α + 1 ) Γ ( α + 1 ) γ x y Γ ( T + α + 1 ) | Λ | Γ ( α ) Γ ( T + 2 ) [ 1 Γ ( β ) s = α η ξ = 0 s α ( η + β σ ( s ) ) β 1 ̲ ( s σ ( ξ ) ) α 1 ̲ + s = 0 T ( T + α σ ( s ) ) α 1 ̲ ] + γ x y Γ ( T + α + 1 ) Γ ( T + 1 ) Γ ( α + 1 ) = γ Ω x y .

Thus

FxFyγΩxy.

Therefore, F is a contraction. Hence, by the Banach fixed point theorem, we get that F has a fixed point which is a unique solution of problem (1.3) on t [ α 2 , α + T ] N α 2 . □

Next, we can still deduce the existence of a solution to (1.3). We shall use nonlinear contraction to accomplish this.

Definition 3.1 Let E be a Banach space and let F:EE be a mapping. F is said to be a nonlinear contraction if there exists a continuous nondecreasing function Ψ: R + R + such that Ψ(0)=0 and Ψ(ρ)<ρ for all ρ>0 with the property

FxFyΨ ( x y ) ,x,yE.

Lemma 3.1 (Boyd and Wong [27])

Let E be a Banach space and letF:EEbe a nonlinear contraction. Then F has a unique fixed point in E.

Theorem 3.2 Suppose that there exists a continuous functionh: [ α 2 , α + T ] N α 2 R + such that|f(t,x)f(t,y)|h(t) | x y | H + | x y | for allt [ α 2 , α + T ] N α 2 andx,y0, where

H = Γ ( T + α + 1 ) | Λ | Γ ( α ) Γ ( T + 2 ) [ 1 Γ ( β ) s = α η ξ = 0 s α ( η + β σ ( s ) ) β 1 ̲ × ( s σ ( ξ ) ) α 1 ̲ h ( ξ + α 1 ) + s = 0 T ( T + α σ ( s ) ) α 1 ̲ h ( s + α 1 ) ] + 1 Γ ( α ) s = 0 T ( T + α σ ( s ) ) α 1 ̲ h ( s + α 1 )
(3.4)

and Λ is defined in (2.4).

Then boundary value problem (1.3) has a unique solution.

Proof Let the operator F:C( [ α 2 , α + T ] N α 2 ,R)C( [ α 2 , α + T ] N α 2 ,R) be defined by (3.1). We define a continuous nondecreasing function Ψ: R + R + by

Ψ(ρ)= H ρ H + ρ ,ρ0,

such that Ψ(0)=0 and Ψ(ρ)<ρ for all ρ>0.

Let x,yC( [ α 2 , α + T ] N α 2 ). Then we get

| f ( s , x ( s ) ) f ( s , y ( s ) ) | h ( s ) H Ψ ( x y ) ,

so that

| F x ( t ) F y ( t ) | t α 1 ̲ | Λ | Γ ( α ) [ 1 Γ ( β ) s = α η ξ = 0 s α ( η + β σ ( s ) ) β 1 ̲ × ( s σ ( ξ ) ) α 1 ̲ h ( ξ + α 1 ) | x ( ξ + α 1 ) y ( ξ + α 1 ) | H + | x ( ξ + α 1 ) y ( ξ + α 1 ) | + s = 0 T ( T + α σ ( s ) ) α 1 ̲ h ( s + α 1 ) × | x ( s + α 1 ) y ( s + α 1 ) | H + | x ( s + α 1 ) y ( s + α 1 ) | ] + 1 Γ ( α ) s = 0 t α ( t σ ( s ) ) α 1 ̲ h ( s + α 1 ) | x ( s + α 1 ) y ( s + α 1 ) | H + | x ( s + α 1 ) y ( s + α 1 ) | { Γ ( T + α + 1 ) | Λ | Γ ( α ) Γ ( T + 2 ) [ 1 Γ ( β ) s = α η ξ = 0 s α ( η + β σ ( s ) ) β 1 ̲ × ( s σ ( ξ ) ) α 1 ̲ h ( ξ + α 1 ) + s = 0 T ( T + α σ ( s ) ) α 1 ̲ h ( s + α 1 ) ] + 1 Γ ( α ) s = 0 T ( T + α σ ( s ) ) α 1 ̲ h ( s + α 1 ) } x y H + x y

for t [ α 2 , α + T ] N α 2 . From (3.4), it follows that FxFyΨ(xy). Hence F is a nonlinear contraction. Therefore, by Lemma 3.1, the operator F has a unique fixed point in C( [ α 2 , α + T ] N α 2 ), which is a unique solution of problem (1.3). □

The following result is based on Schaefer’s fixed point theorem.

Theorem 3.3 Suppose that there exists a constantM>0such that|f(t,x)|Mfor eacht [ α 2 , α + T ] N α 2 and allxR.

Then problem (1.3) has at least one solution on [ α 2 , α + T ] N α 2 .

Proof We shall use Schaefer’s fixed point theorem to prove that the operator F defined by (3.1) has a fixed point. We divide the proof into four steps.

Step I. Continuity of F. Let x n be a sequence such that x n x in C( [ α 2 , α + T ] N α 2 ). Then, for each t [ α 2 , α + T ] N α 2 , we get

| F ( x n ) ( t ) F ( x ) ( t ) | t α 1 ̲ | Λ | Γ ( α ) [ 1 Γ ( β ) s = α η ξ = 0 s α ( η + β σ ( s ) ) β 1 ̲ × ( s σ ( ξ ) ) α 1 ̲ | f ( ξ + α 1 , x n ( ξ + α 1 ) ) f ( ξ + α 1 , x ( ξ + α 1 ) ) | + s = 0 T ( T + α σ ( s ) ) α 1 ̲ | f ( s + α 1 , x n ( s + α 1 ) ) f ( s + α 1 , x ( s + α 1 ) ) | ] + 1 Γ ( α ) s = 0 t α ( t σ ( s ) ) α 1 ̲ | f ( s + α 1 , x n ( s + α 1 ) ) f ( s + α 1 , x ( s + α 1 ) ) | t α 1 ̲ | Λ | Γ ( α ) [ 1 Γ ( β ) s = α η ξ = 0 s α ( η + β σ ( s ) ) β 1 ̲ ( s σ ( ξ ) ) α 1 ̲ × max ξ [ α 2 , α + T ] N α 2 | f ( ξ + α 1 , x n ( ξ + α 1 ) ) f ( ξ + α 1 , x ( ξ + α 1 ) ) | + s = 0 T ( T + α σ ( s ) ) α 1 ̲ max s [ α 2 , α + T ] N α 2 | f ( s + α 1 , x n ( s + α 1 ) ) f ( s + α 1 , x ( s + α 1 ) ) | ] + 1 Γ ( α ) s = 0 t α ( t σ ( s ) ) α 1 ̲ max s [ α 2 , α + T ] N α 2 | f ( s + α 1 , x n ( s + α 1 ) ) f ( s + α 1 , x ( s + α 1 ) ) | .

Since f is a continuous function, we have F x n Fx0 as n0. This means that F is continuous.

Step II. F maps bounded sets into bounded sets inC( [ α 2 , α + T ] N α 2 ). Let us prove that for any R>0, there exists a positive constant L such that for each x B R ={xC( [ α 2 , α + T ] N α 2 ,R):xR}, we have FxL. Indeed, for any x B R , we obtain

| F x ( t ) | t α 1 ̲ | Λ | Γ ( α ) [ 1 Γ ( β ) s = α η ξ = 0 s α ( η + β σ ( s ) ) β 1 ̲ × ( s σ ( ξ ) ) α 1 ̲ | f ( ξ + α 1 , x ( ξ + α 1 ) ) | + s = 0 T ( T + α σ ( s ) ) α 1 ̲ | f ( s + α 1 , x ( s + α 1 ) ) | ] + 1 Γ ( α ) s = 0 t α ( t σ ( s ) ) α 1 ̲ | f ( s + α 1 , x ( s + α 1 ) ) | .

Therefore,

| F x ( t ) | M t α 1 ̲ | Λ | Γ ( α ) [ 1 Γ ( β ) s = α η ξ = 0 s α ( η + β σ ( s ) ) β 1 ̲ ( s σ ( ξ ) ) α 1 ̲ + s = 0 T ( T + α σ ( s ) ) α 1 ̲ ] + M Γ ( α ) s = 0 t α ( t σ ( s ) ) α 1 ̲ .

Hence, we deduce that

F x M Γ ( T + α + 1 ) | Λ | Γ ( α ) Γ ( T + 2 ) [ 1 Γ ( β ) s = α η ξ = 0 s α ( η + β σ ( s ) ) β 1 ̲ ( s σ ( ξ ) ) α 1 ̲ + s = 0 T ( T + α σ ( s ) ) α 1 ̲ ] + M Γ ( T + α + 1 ) Γ ( T + 1 ) Γ ( α + 1 ) M Ω : = L ,

where Ω is defined by (3.3).

Step III.F( B R )is equicontinuous with B R defined as in Step II. For any ε>0, there exist t 1 , t 2 [ α 2 , α + T ] N α 2 , t 1 t 2 such that

| t 2 α 1 ̲ t 1 α 1 ̲ | M | Λ | Γ ( α ) [ 1 Γ ( β ) s = α η ξ = 0 s α ( η + β σ ( s ) ) β 1 ̲ ( s σ ( ξ ) ) α 1 ̲ + s = 0 T ( T + α σ ( s ) ) α 1 ̲ ] + M Γ ( α ) [ Γ ( t 2 + 1 ) Γ ( t 2 α + 1 ) Γ ( t 1 + 1 ) Γ ( t 1 α + 1 ) ] < ε .

Then we have

| F x ( t 2 ) F x ( t 1 ) | = | t 2 α 1 ̲ t 1 α 1 ̲ Λ Γ ( α ) [ 1 Γ ( β ) s = α η ξ = 0 s α ( η + β σ ( s ) ) β 1 ̲ × ( s σ ( ξ ) ) α 1 ̲ f ( ξ + α 1 , x ( ξ + α 1 ) ) s = 0 T ( T + α σ ( s ) ) α 1 ̲ f ( s + α 1 , x ( s + α 1 ) ) ] + 1 Γ ( α ) [ s = 0 t 1 α ( ( t 2 σ ( s ) ) α 1 ̲ ( t 1 σ ( s ) ) α 1 ̲ ) f ( s + α 1 , x ( s + α 1 ) ) + s = t 1 α + 1 t 2 α ( t 2 σ ( s ) ) α 1 ̲ f ( s + α 1 , x ( s + α 1 ) ) ] | | t 2 α 1 ̲ t 1 α 1 ̲ | M | Λ | Γ ( α ) [ 1 Γ ( β ) s = α η ξ = 0 s α ( η + β σ ( s ) ) β 1 ̲ ( s σ ( ξ ) ) α 1 ̲ + s = 0 T ( T + α σ ( s ) ) α 1 ̲ ] + M Γ ( α ) [ s = 0 t 1 α ( ( t 2 σ ( s ) ) α 1 ̲ ( t 1 σ ( s ) ) α 1 ̲ ) + s = t 1 α + 1 t 2 α ( t 2 σ ( s ) ) α 1 ̲ ] = | t 2 α 1 ̲ t 1 α 1 ̲ | M | Λ | Γ ( α ) [ 1 Γ ( β ) s = α η ξ = 0 s α ( η + β σ ( s ) ) β 1 ̲ ( s σ ( ξ ) ) α 1 ̲ + s = 0 T ( T + α σ ( s ) ) α 1 ̲ ] + M Γ ( α ) [ Γ ( t 2 + 1 ) Γ ( t 2 α + 1 ) Γ ( t 1 + 1 ) Γ ( t 1 α + 1 ) ] ε .

This means that the set F( B R ) is an equicontinuous set. As a consequence of Steps I to III together with the Arzelá-Ascoli theorem, we get that F:C( [ α 2 , α + T ] N α 2 )C( [ α 2 , α + T ] N α 2 ) is completely continuous.

Step IV. A priori bounds. We show that the set

E= { x C ( [ α 2 , α + T ] N α 2 , R ) : x = λ F x  for some  0 < λ < 1 }

is bounded.

Let xE. Then x(t)=λ(Fx)(t) for some 0<λ<1. Thus, for each t [ α 2 , α + T ] N α 2 , we have

λ ( F x ) ( t ) = λ t α 1 ̲ Λ Γ ( α ) [ 1 Γ ( β ) s = α η ξ = 0 s α ( η + β σ ( s ) ) β 1 ̲ × ( s σ ( ξ ) ) α 1 ̲ f ( ξ + α 1 , x ( ξ + α 1 ) ) s = 0 T ( T + α σ ( s ) ) α 1 ̲ f ( s + α 1 , x ( s + α 1 ) ) ] + λ Γ ( α ) s = 0 t α ( t σ ( s ) ) α 1 ̲ f ( s + α 1 , x ( s + α 1 ) ) .

Therefore, for t [ α 2 , α + T ] N α 2 , we get

| λ ( F x ) ( t ) | λ M t α 1 ̲ | Λ | Γ ( α ) [ 1 Γ ( β ) s = α η ξ = 0 s α ( η + β σ ( s ) ) β 1 ̲ ( s σ ( ξ ) ) α 1 ̲ + s = 0 T ( T + α σ ( s ) ) α 1 ̲ ] + λ M Γ ( α ) s = 0 t α ( t σ ( s ) ) α 1 ̲ M Γ ( T + α + 1 ) | Λ | Γ ( α ) Γ ( T + 2 ) [ 1 Γ ( β ) s = α η ξ = 0 s α ( η + β σ ( s ) ) β 1 ̲ × ( s σ ( ξ ) ) α 1 ̲ + s = 0 T ( T + α σ ( s ) ) α 1 ̲ ] + M Γ ( T + α + 1 ) Γ ( T + 1 ) Γ ( α + 1 ) = M Ω : = L .

This shows that the set E is bounded. As a consequence of Schaefer’s fixed point theorem, we conclude that F has a fixed point which is a solution of problem (1.3). □

4 Some examples

In this section, in order to illustrate our result, we consider some examples.

Example 4.1 Consider the following three-point fractional sum boundary value problem:

Δ 3 2 x(t)= e sin 2 ( t + 1 2 ) ( t + 7 2 ) 2 | x | | x | + 1 ,t N 1 2 , 9 2 ,
(4.1)
x ( 1 2 ) =0,
(4.2)
x ( 11 2 ) = Δ 4 3 x ( 23 6 ) .
(4.3)

Here α= 3 2 , β= 4 3 , η= 5 2 , T=4, f(t,x)= e sin 2 t ( t + 3 ) 2 | x | | x | + 1 . Also, we find

Λ= s = 1 3 ( 10 3 s ) 1 3 ̲ Γ ( s + 1 2 ) 1 3 Γ ( 1 3 ) Γ ( s ) Γ ( 13 2 ) Γ ( 6 ) =2830

and

Ω = Γ ( 13 2 ) | 283 | Γ ( 3 2 ) Γ ( 6 ) [ 1 Γ ( 4 3 ) s = 3 2 5 2 ξ = 0 s 3 2 ( 5 2 + 4 3 σ ( s ) ) 4 3 1 ̲ ( s σ ( ξ ) ) 3 2 1 ̲ + s = 0 4 ( T + 3 2 σ ( s ) ) 3 2 1 ̲ ] + Γ ( 13 2 ) Γ ( 5 2 ) Γ ( 5 ) 10.29 .

From |f(t,x)f(t,y)| 4 49 |xy|, we have γ= 4 49 . We can show that

γΩ= 4 49 ×10.29=0.84<1.

Hence, by Theorem 3.1, boundary value problem (4.1)-(4.3) has a unique solution.

Example 4.2 Consider the following three-point fractional sum boundary value problem:

Δ 3 2 x(t)= 1 10 ( t + 1 2 ) e 1 100 ( t + 1 2 ) | x ( t + 1 2 ) | ,t N 1 2 , 9 2 ,
(4.4)
x ( 1 2 ) =0,
(4.5)
x ( 11 2 ) = Δ 4 3 x ( 23 6 ) .
(4.6)

Here α= 3 2 , β= 4 3 , η= 5 2 , T=4, f(t,x)= 1 10 (t) e 1 100 t | x ( t ) | , Λ=2830, Ω=1.91. It is clear that X|f(t,x)| 11 20 <1=M for t N 1 2 , 9 2 . Thus, we conclude from Theorem 3.3 that (4.4)-(4.6) has at least one solution.

Authors’ information

The third author is a member of Nonlinear Analysis and Applied Mathematics (NAAM)-Research Group at King Abdulaziz University, Jeddah, Saudi Arabia.