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Existence and Hyers–Ulam stability for three-point boundary value problems with Riemann–Liouville fractional derivatives and integrals

Advances in Difference Equations20182018:458

  • Received: 4 August 2018
  • Accepted: 21 November 2018
  • Published:


This paper is concerned with a class of two-term fractional differential equations. Three-point boundary value problems with mixed Riemann–Liouville fractional differential and integral boundary conditions are discussed. The Green’s function is investigated and the existence results are obtained based on some fixed point theorems. The Hyers–Ulam stability is also studied for null boundary conditions. As an auxiliary result, a Gronwall type inequality of fractional order integral is obtained.


  • Fractional differential equation
  • Boundary value problem
  • Stability

1 Introduction

In this paper, we consider the following boundary value problem of nonlinear fractional differential equations:
$$ \textstyle\begin{cases} \lambda D^{\alpha }_{0}x(t)+D^{\beta }_{0} x(t) = f(t,x(t)), \quad 0< t< T, \\ x(0)=0, \quad\quad \mu D^{\gamma_{1}}_{0}x(T)+I^{\gamma_{2}}_{0}x(\eta )=\gamma_{3}, \end{cases} $$
where \(D^{\alpha }_{0}\) and \(D^{\beta }_{0}\) are Riemann–Liouville fractional derivatives with \(1<\alpha \leq 2\) and \(1\leq \beta < \alpha \), \(0<\lambda \leq 1\), \(0\leq \mu \leq 1\), \(0\leq \gamma_{1} \leq {\alpha -\beta }\), \(\gamma_{2}\geq 0\), \(0<\eta <T\) and \(f: [0,T]\times R\rightarrow R \) is a given function satisfying some assumptions that will be verified later.

Fractional differential problems have attracted much attention in recent years due to its wide application in many fields of science and engineering, including fractal theory, potential theory, biology, chemistry, diffusion, etc. See, e.g., [1, 2]. There are several kinds of fractional derivatives used in different applied areas, such as Caputo derivative and Riemann–Liouville derivative. Recently, Atangana et al. [36] presented the Caputo–Fabrizio and the Atangana–Baleanu fractional derivatives.

In the literature, \({}^{c}D^{\alpha }_{0^{+}} u(t)+f(t,u(t))=0\) is known as a single term equation. This kind of fractional differential equation has many applications and has been studied widely. See, e.g., [1, 2, 710]. Equations containing more than one fractional differential terms are called multi-term fractional differential equations; they have some concrete applications in many fields. Due to the complexity of such a kind of equations, it seems that there has been no result for a general multi-term fractional differential equation. Only some special cases have been investigated. A classical example is the so-called Bagley–Torvik equation (B–T equation for short) [11],
$$ Ay{''}(t)+B^{c}D^{\frac{3}{2}}_{0}y(t)+Cy(t)=f(t), $$
where A, B and C are certain constants and f is a given function. This equation arises from the mathematical model of the motion of a thin plate in a Newtonian fluid. The B–T equation, as well as various generalizations, has wide applications in fluid dynamics and hence has attracted much attention. For example, Cermak et al. [12] investigated the two-term fractional differential equation
$$ D^{\alpha }_{0} y(t)+aD^{\beta }_{0} y(t) +y b(t)=0 $$
with real coefficients a, b and positive real orders \(\alpha > \beta \), which contains some important cases such as the B–T equation for \(\alpha =2\), \(\beta =3/2\) and the Basset equation for \(\alpha =1\), \(\beta =1/2\). The analytic solution and the numerical solution for the B–T equation were studied in [13] and [14], respectively. Various methods were introduced to investigate the approximate solutions such as the finite difference method [15], the variational iteration method [13, 16], the homotopy perturbation method [17] and the generalized differential transform method [18]. Boundary value problems for the B–T equations were studied in [19, 20] and [18, 2123] for various boundary value conditions. In [18], the authors considered the approximate solution of B–T equations with variable coefficients and three-point boundary value,
$$ \textstyle\begin{cases} y^{\prime\prime}(x)+p(x)D^{\alpha }_{a} y+q(x)y=g(x), \quad x\in [a,b], \\ y(a)=\alpha_{1}, \quad\quad y(b)+\lambda y(\xi )=\beta_{1}, \quad \xi \in [a,b], \end{cases} $$
where \(0<\alpha <2\), \(p(x)\), \(q(x)\) and \(g(x)\) are known functions, \(\alpha_{1}\), \(\beta_{1}\), λ, μ and ξ are given constants. In [19, 20], Ntouyas et al. studied the generalized B–T equations with multiple integral and differential boundary conditions
$$ \textstyle\begin{cases} \lambda D^{\alpha }_{0}x(t)+(1-\lambda )D^{\beta }_{0}x(t) = f(t,x(t)), \quad 0< t< T, \\ x(0)=0,\quad \quad \mu D^{\gamma_{1}}_{0}(T)+(1-\mu )D^{\gamma_{2}}_{0}(T)= \gamma_{3}, \end{cases} $$
$$ \textstyle\begin{cases} \lambda D^{\alpha }_{0}x(t)+(1-\lambda )D^{\beta }_{0}x(t) = f(t,x(t)), \quad 0< t< T, \\ x(0)=0, \quad\quad \mu I^{\delta_{1}}_{0}x(T)+(1-\mu )I^{\delta_{2}}_{0}x(T)=\delta_{3}. \end{cases} $$
Green functions for the corresponding problems were investigated and the existence results were obtained by using fixed point theorems. For more detailed information, we refer the reader to [2, 2426] and the references therein.

Stability analysis is an important respect of differential equations. Hyers–Ulam stability for differential equations was initialed in the 1940s by Ulam [27] and Hyers [28]. Roughly speaking, the Hyers–Ulam stability for a differential equation is the answer to the question whether there is an exact solution near an approximate solution (the solution to the approximate equation) to the differential equation. So it is obviously important for the study of numerical and approximate solutions and real world applications of differential equations. For this reason, many researchers investigate the Hyers–Ulam stability for differential equations of both integer and fractional order [2932]. There are only a few works on the Ulam stability of fractional differential equations. Recently, Wang, Lv and Zhou [33] presented some Ulam stability results of fractional differential equations by using Hery–Gronwall inequality. By the method of Laplace transform, Wang and Li [34] studied Ulam stability of a fractional order linear differential equation. Later, Wang and Li [35] investigated the Hyers–Ulam stability for a nonlinear fractional Langevin equation and its corresponding impulsive problem. The authors of [36] researched a class of new differential equations with no instantaneous impulses. However, to the best of our knowledge, few results can be found on the Hyers–Ulam type stability for boundary value problems except that of Kumam [37].

Inspired by the above comments, in this paper, we consider the three points boundary value problem of a two-term fractional differential equation, with mixed integral and differential boundary conditions (1). Equation (1) with Riemann–Liouville fractional derivatives of order α and β is a generalization of the B–T equation. To compare with the discussion in [11, 19], there is no coefficient \((1-\lambda )\) or \((1-\mu )\) here, and the boundary conditions with mixed derivatives and integrals are different from the boundary value conditions in [11, 19]. So, our results can be regarded as an extension of B–T equation and partially extend the results in [11, 19, 38] and [20]. We also investigate the Hyers–Ulam stability for Eq. (1) with the boundary value conditions \(x(0)=0\) and \(x(T)=\gamma \). To deal with the Hyers–Ulam stability, we prove a fractional Gronwall-type integral inequality by the method of iteration, which is a generalization of the main result in [39] and Lemma 3.4 in [10].

2 Preliminaries

Let \(C([0,T],\mathbf{R})\) be the Banach space of all continuous functions from \([0,T]\) into R with the norm \(\Vert x \Vert _{\infty }=\max_{t\in [0,T]} \vert x(t) \vert \), and \(L^{1}([0,T],\mathbf{R})\) denotes the Banach space of functions \(x: [0,T]\rightarrow \mathbf{R}\) that are Lebesgue integrable with norm \(\Vert x \Vert _{L^{1}}=\int_{0}^{T} \vert x(t) \vert \,dt\).

Definition 2.1


The Riemann–Liouville fractional integral of order \(\alpha >0\) of a function \(f:[a,b]\rightarrow \mathbf{R}\) at the point t is defined by
$$ I_{a}^{\alpha }f(t)= \int_{a}^{t}\frac{(t-s)^{\alpha -1}}{\varGamma ( \alpha )}f(s)\,ds, $$
provided the right side is point-wisely defined, where Γ is the Gamma function.

Definition 2.2


The Riemann–Liouville fractional derivative of order \(\alpha >0\) of a function \(f:[a,b]\rightarrow \mathbf{R}\) at the point t is defined by
$$ D_{a}^{\alpha }f(t)=\frac{1}{\varGamma (n-\alpha )}\frac{d^{n}}{dt^{n}} \int_{a}^{t}(t-s)^{n-\alpha -1}f(s)\,ds, $$
provided the right side is point-wisely defined, where \(n=[\alpha ]+1\), \([\alpha ]\) denotes the integer part of α.

Lemma 2.3


Let \(\alpha >0\), and \(x\in C[0,T]\cap L[0,T]\). Then the fractional differential equation \(D^{\alpha }_{0}x(t)=0\) has the unique solution
$$ x(t)=c_{1}t^{\alpha -1}+c_{2}t^{\alpha -2}+\cdots +c_{n}t^{\alpha -n}, \quad c_{i}\in \mathbf{R}, i=0,1,2, \ldots, n-1, n=[\alpha ]+1. $$

Lemma 2.4


Let \(\alpha >0\). Then for \(x\in C(0,T)\cap L(0,T)\), we have
$$ I^{\alpha }_{0}D^{\alpha }_{0}x(t)=x(t)+c_{1}t^{\alpha -1}+c_{2}t^{ \alpha -2}+ \cdots +c_{n}t^{\alpha -n}, $$
for some \(c_{i}\in \mathbf{R}\), \(i=0,1,2,\ldots, n-1\), \(n=[\alpha ]+1\).

Lemma 2.5

The solution of the boundary value problem (1) satisfies the integral equation
$$ x(t)=\frac{\gamma_{3}}{\varTheta }t^{\alpha -1}+ \int_{0}^{T} G_{1}(t,s)x(s) \,ds+ \int_{0}^{T} G_{2}(t,s)f \bigl(s,x(s) \bigr) \,ds, $$
$$\begin{aligned}& \varTheta =\frac{\mu \varGamma (\alpha )T^{\alpha -\gamma_{1}-1}}{\varGamma ( \alpha -\gamma_{1})} +\frac{\varGamma (\alpha )\eta^{\alpha +\gamma_{2}-1}}{ \varGamma (\alpha +\gamma_{2})},\quad 0< t< T, \end{aligned}$$
$$\begin{aligned}& G_{11}(t,s)= \textstyle\begin{cases} -\frac{1}{\lambda \varGamma (\alpha -\beta )}(t-s)^{\alpha -\beta -1} \\ \quad{} +\frac{t^{\alpha -1}}{\varTheta \lambda }[\frac{\mu }{\varGamma (\alpha - \beta -\gamma_{1})} (T-s)^{\alpha -\beta -\gamma_{1}-1} \\ \quad{}+\frac{1}{\varGamma (\alpha -\beta +\gamma_{2})} (\eta -s)^{\alpha - \beta +\gamma_{2}-1}], & 0< s\leq t\leq \eta < T, \\ \frac{t^{\alpha -1}}{\varTheta \lambda }[\frac{\mu }{\varGamma (\alpha - \beta -\gamma_{1})} (T-s)^{\alpha -\beta -\gamma_{1}-1} \\ \quad{}+\frac{1}{\varGamma (\alpha -\beta +\gamma_{2})} (\eta -s)^{\alpha - \beta +\gamma_{2}-1}], & 0< t\leq s\leq \eta < T, \\ \frac{\mu t^{\alpha -1}}{\varTheta \lambda \varGamma (\alpha -\beta -\gamma _{1})} (T-s)^{\alpha -\beta -\gamma_{1}-1}, & 0< t\leq \eta \leq s< T, \end{cases}\displaystyle \end{aligned}$$
$$\begin{aligned}& G_{12}(t,s)= \textstyle\begin{cases} -\frac{1}{\lambda \varGamma (\alpha -\beta )}(t-s)^{\alpha -\beta -1} \\ \quad{}+\frac{t^{\alpha -1}}{\varTheta \lambda }[\frac{\mu }{\varGamma (\alpha - \beta -\gamma_{1})} (T-s)^{\alpha -\beta -\gamma_{1}-1} \\ \quad{}+\frac{1}{\varGamma (\alpha -\beta +\gamma_{2})}(\eta -s)^{\alpha - \beta +\gamma_{2}-1}], & 0< s\leq \eta \leq t< T, \\ -\frac{1}{\lambda \varGamma (\alpha -\beta )}(t-s)^{\alpha -\beta -1} +\frac{ \mu t^{\alpha -1}}{\varTheta \lambda \varGamma (\alpha -\beta -\gamma_{1})}(T-s)^{ \alpha -\beta -\gamma_{1}-1}, & 0< \eta \leq s\leq t< T, \\ \frac{\mu t^{\alpha -1}}{\varTheta \lambda \varGamma (\alpha -\beta -\gamma _{1})} (T-s)^{\alpha -\beta -\gamma_{1}-1}, & 0< \eta \leq t\leq s< T, \end{cases}\displaystyle \end{aligned}$$
$$\begin{aligned}& G_{21}(t,s)= \textstyle\begin{cases} \frac{1}{\lambda \varGamma (\alpha )}(t-s)^{\alpha -1}-\frac{t^{\alpha -1}}{ \varTheta \lambda } [\frac{\mu }{\varGamma (\alpha -\gamma_{1})}(T-s)^{ \alpha -\gamma_{1}-1} \\ \quad{} +\frac{1}{\varGamma (\alpha +\gamma_{2})} (\eta -s)^{\alpha +\gamma_{2}-1}], & 0< s\leq t\leq \eta < T, \\ -\frac{t^{\alpha -1}}{\varTheta \lambda }[\frac{\mu }{\varGamma (\alpha - \gamma_{1})}(T-s)^{\alpha -\gamma_{1}-1} \\ \quad{}+\frac{1}{\varGamma (\alpha +\gamma_{2})}(\eta -s)^{\alpha +\gamma_{2}-1}], & 0< t\leq s\leq \eta < T, \\ -\frac{\mu t^{\alpha -1}}{\varTheta \lambda \varGamma (\alpha -\gamma_{1})} (T-s)^{\alpha -\gamma_{1}-1}, & 0< t \leq \eta \leq s< T, \end{cases}\displaystyle \end{aligned}$$
$$\begin{aligned}& G_{22}(t,s)= \textstyle\begin{cases} \frac{1}{\lambda \varGamma (\alpha )}(t-s)^{\alpha -1}-\frac{t^{\alpha -1}}{ \varTheta \lambda } [\frac{\mu }{\varGamma (\alpha -\gamma_{1})}(T-s)^{ \alpha -\gamma_{1}-1} \\ \quad{} +\frac{1}{\varGamma (\alpha +\gamma_{2})} (\eta -s)^{\alpha +\gamma_{2}-1}], & 0< s \leq \eta \leq t< T, \\ \frac{1}{\lambda \varGamma (\alpha )}(t-s)^{\alpha -1}-\frac{\mu t^{ \alpha -1}}{\varTheta \lambda \varGamma (\alpha -\gamma_{1})}(T-s)^{\alpha -\gamma_{1}-1}, & 0< \eta \leq s\leq t< T, \\ -\frac{\mu t^{\alpha -1}}{\varTheta \lambda \varGamma (\alpha -\gamma_{1})}(T-s)^{ \alpha -\gamma_{1}-1}, & 0< \eta \leq t\leq s< T, \end{cases}\displaystyle \end{aligned}$$
$$\begin{aligned}& G_{1}(t,s)= \textstyle\begin{cases} G_{11}(t,s), & 0< t \leq \eta < T, \\ G_{12}(t,s), & 0< \eta \leq t< T, \end{cases}\displaystyle \end{aligned}$$
$$\begin{aligned}& G_{2}(t,s)= \textstyle\begin{cases} G_{21}(t,s), & 0< t \leq \eta < T, \\ G_{22}(t,s), & 0< \eta \leq t< T, \end{cases}\displaystyle \end{aligned}$$


From Eq. (1), we have
$$ D^{\alpha }_{0} x(t)=-\frac{1}{\lambda }D^{\beta }_{0} x(t)+\frac{1}{ \lambda }f \bigl(t,x(t) \bigr),\quad t\in [0,T]. $$
Taking the Riemann–Liouville fractional integral of order α on both sides of (9), we get
$$ \begin{aligned} x(t)&=-\frac{1}{\lambda \varGamma (\alpha -\beta )} \int_{0}^{t} (t-s)^{ \alpha -\beta -1}x(s) \,ds+ \frac{1}{\lambda \varGamma (\alpha )} \int_{0} ^{t} (t-s)^{\alpha -1}f \bigl(s,x(s) \bigr) \,ds\\&\quad{} +C_{1}t^{\alpha -1}+C_{2}t^{\alpha -2}.\end{aligned} $$
Then, \(x(0)=0 \) implies \(C_{2}=0\). Hence
$$ \begin{aligned}[b] x(t)&=-\frac{1}{\lambda \varGamma (\alpha -\beta )} \int_{0}^{t} (t-s)^{ \alpha -\beta -1}x(s) \,ds + \frac{1}{\lambda \varGamma (\alpha )} \int_{0} ^{t} (t-s)^{\alpha -1}f \bigl(s,x(s) \bigr) \,ds\\&\quad{} +C_{1}t^{\alpha -1}.\end{aligned} $$
Applying the Riemann–Liouville fractional derivative of order \(\gamma_{1}\) to both sides of (10), we deduce that
$$\begin{aligned} D^{\gamma_{1}}_{0} x(t) =&-\frac{1}{\lambda \varGamma (\alpha -\beta - \gamma_{1})} \int_{0}^{t}(t-s)^{\alpha -\beta -\gamma_{1}-1}x(s)\,ds \\ & {}+ \frac{1}{ \lambda \varGamma (\alpha -\gamma_{1})} \int_{0}^{t}(t-s)^{\alpha -\gamma _{1}-1}f \bigl(s,x(s) \bigr) \,ds \\ & {} +C_{1}\frac{\varGamma (\alpha )}{\varGamma (\alpha -\gamma_{1})} t^{ \alpha -\gamma_{1}-1}. \end{aligned}$$
Taking the Riemann–Liouville integral of order \(\gamma_{2}\) to both sides of (10), we obtain
$$\begin{aligned} I^{\gamma_{2}}_{0} x(t) =&-\frac{1}{\lambda \varGamma (\alpha -\beta + \gamma_{2})} \int_{0}^{t}(t-s)^{\alpha -\beta +\gamma_{2}-1}x(s)\,ds \\ & {}+ \frac{1}{ \lambda \varGamma (\alpha +\gamma_{2})} \int_{0}^{t}(t-s)^{\alpha +\gamma _{2}-1}f \bigl(s,x(s) \bigr) \,ds \\ & {} +C_{1}\frac{\varGamma (\alpha )}{\varGamma (\alpha +\gamma_{2})} t^{ \alpha +\gamma_{2}-1}. \end{aligned}$$
$$ \varTheta :=\frac{\mu \varGamma (\alpha )T^{\alpha -\gamma_{1}-1}}{\varGamma ( \alpha -\gamma_{1})} +\frac{\varGamma (\alpha )\eta^{\alpha +\gamma_{2}-1}}{ \varGamma (\alpha +\gamma_{2})}. $$
By using the second condition of (1), we get
$$\begin{aligned} \gamma_{3} =&-\frac{\mu }{\lambda \varGamma (\alpha -\beta -\gamma_{1})} \int_{0}^{T}(T-s)^{\alpha -\beta -\gamma_{1}-1}x(s)\,ds \\ & {}+ \frac{\mu }{ \lambda \varGamma (\alpha -\gamma_{1})} \int_{0}^{T} (T-s)^{\alpha -\gamma _{1}-1}f \bigl(s,x(s) \bigr)\,ds \\ & {} +C_{1}\frac{\mu \varGamma (\alpha )}{\varGamma (\alpha - \gamma_{1})}T ^{\alpha -\gamma_{1}-1} -\frac{1}{\lambda \varGamma (\alpha -\beta + \gamma_{2})} \int_{0}^{\eta }(\eta -s)^{\alpha -\beta +\gamma_{2}-1}x(s)\,ds \\ & {} +\frac{1}{\lambda \varGamma (\alpha +\gamma_{2})} \int_{0}^{\eta }( \eta -s)^{\alpha +\gamma_{2}-1}f \bigl(s,x(s) \bigr)\,ds+C_{1}\frac{\varGamma (\alpha )}{\varGamma (\alpha +\gamma_{2})} \eta^{\alpha +\gamma_{2}-1}, \end{aligned}$$
which leads to
$$\begin{aligned} C_{1} =&\frac{1}{\varTheta } \biggl[\gamma_{3}+ \frac{\mu }{\lambda \varGamma ( \alpha -\beta -\gamma_{1})} \int_{0}^{T}(T-s)^{\alpha -\beta -\gamma _{1}-1}x(s)\,ds \\ & {}- \frac{\mu }{\lambda \varGamma (\alpha -\gamma_{1})} \int _{0}^{T}(T-s)^{\alpha -\gamma_{1}-1}f \bigl(s,x(s) \bigr)\,ds \\ & {} +\frac{1}{\lambda \varGamma (\alpha -\beta +\gamma_{2})} \int_{0}^{ \eta }(\eta -s)^{\alpha -\beta +\gamma_{2}-1}x(s)\,ds \\ & {}- \frac{1}{\lambda \varGamma (\alpha +\gamma_{2})} \int_{0}^{\eta }(\eta -s)^{\alpha +\gamma _{2}-1}f \bigl(s,x(s) \bigr)\,ds \biggr]. \end{aligned}$$
Substituting the value of \(C_{1}\) into (10), we have
$$\begin{aligned} x(t) =&-\frac{1}{\lambda \varGamma (\alpha -\beta )} \int_{0}^{t}(t-s)^{ \alpha -\beta -1}x(s)\,ds + \frac{1}{\lambda \varGamma (\alpha )} \int_{0} ^{t}(t-s)^{\alpha -1}f \bigl(s,x(s) \bigr)\,ds \\ & {} +\frac{t^{\alpha -1}}{\varTheta } \biggl[\gamma_{3}+\frac{\mu }{\lambda \varGamma (\alpha -\beta -\gamma_{1})} \int_{0}^{T}(T-s)^{\alpha -\beta -\gamma_{1}-1}x(s)\,ds \\ & {} -\frac{\mu }{\lambda \varGamma (\alpha -\gamma_{1})} \int_{0}^{T}(T-s)^{ \alpha -\gamma_{1}-1}f \bigl(s,x(s) \bigr) \,ds \\ & {} +\frac{1}{\lambda \varGamma (\alpha -\beta +\gamma_{2})} \int_{0}^{ \eta }(\eta -s)^{\alpha -\beta +\gamma_{2}-1}x(s)\,ds \\ & {} -\frac{1}{\lambda \varGamma (\alpha +\gamma_{2})} \int_{0}^{\eta }( \eta -s)^{\alpha +\gamma_{2}-1}f \bigl(s,x(s) \bigr)\,ds \biggr]. \end{aligned}$$
In the two cases of \(0< t\leq \eta <T \) and \(0<\eta \leq t< T\), we can verify
$$ x(t)=\frac{\gamma_{3}}{\varTheta }t^{\alpha -1}+ \int_{0}^{T} G_{1}(t,s)x(s) \,ds+ \int_{0}^{T} G_{2}(t,s)f \bigl(s,x(s) \bigr)\,ds, $$
which completes the proof. □
It is easily seen that \(G_{2}\) is continuous, and hence is bounded on \([0,T]\times [0,T]\). When \(\alpha -\beta -1<0\) or \(\alpha -\beta - \gamma_{1}-1<0\), \(G_{1}\) is unbounded. Fortunately, we have
$$\begin{aligned} \int_{0}^{T} \bigl\vert G_{1}(t,s) \bigr\vert \,ds \leq & \frac{1}{ \vert \lambda \varGamma (\alpha - \beta ) \vert } \int_{0}^{t}(t-s)^{\alpha -\beta -1}\,ds \\ & {} +\frac{t^{\alpha -1}}{\varTheta \lambda } \biggl[\frac{\mu }{ \vert \varGamma (\alpha -\beta -\gamma_{1}) \vert } \int_{0}^{T}(T-s)^{\alpha -\beta -\gamma_{1}-1}\,ds \\ & {} +\frac{1}{ \vert \varGamma (\alpha -\beta +\gamma_{2}) \vert } \int_{0}^{\eta }( \eta -s)^{\alpha -\beta +\gamma_{2}-1}\,ds \biggr] \\ = & \frac{1}{\lambda \varGamma (\alpha -\beta +1)}t^{\alpha -\beta } \\ & {} +\frac{t^{\alpha -1}}{\varTheta \lambda }\biggl[\frac{\mu }{\varGamma (\alpha -\beta -\gamma_{1}+1)}T^{\alpha -\beta -\gamma_{1}} \\ & {} +\frac{1}{\varGamma (\alpha -\beta +\gamma_{2}+1)} \eta^{\alpha -\beta +\gamma_{2}}\biggr] \\ \leq & \frac{1}{\lambda \varGamma (\alpha -\beta +1)}T^{\alpha -\beta } \\ & {} +\frac{T^{\alpha -1}}{\varTheta \lambda }\biggl[\frac{\mu }{\varGamma (\alpha -\beta -\gamma_{1}+1)}T^{\alpha -\beta -\gamma_{1}} \\ & {} +\frac{1}{\varGamma (\alpha -\beta +\gamma_{2}+1)} \eta^{\alpha -\beta +\gamma_{2}}\biggr], \end{aligned}$$
which means \(\int_{0}^{T} \vert G_{1}(t,s) \vert \,ds \) is uniformly bounded for \(t\in [0,T]\). We denote
$$ M_{1}:=\max_{t\in (0,T)} \int_{0}^{T} \bigl\vert G_{1}(t,s) \bigr\vert \,ds $$
$$ M_{2}:=\max_{t\in (0,T)} \int_{0}^{T} \bigl\vert G_{2}(t,s) \bigr\vert \,ds. $$

Next, we introduce an integral inequality which can be regarded as a generalization of the Gronwall inequality. It is also the generalization of the main result in [39] and Lemma 3.4 of [10].

Lemma 2.6

Suppose \(\alpha >0\), \(a>0\), \(g(t,s)\) is a nonnegative continuous function defined on \([0,T]\times [0, T]\) with \(g(t,s)\leq M\), and \(g(t,s)\) is nondecreasing w.r.t. the first variable and nonincreasing w.r.t. the second variable. Assume that \(u(t)\) is nonnegative and integrable on \([0,T]\) with
$$ u(t)\leq a+ \int_{0}^{t} g(t,s) (t-s)^{\alpha -1}u(s)\,ds, \quad t\in [0,T]. $$
$$ u(t)\leq a+a \int_{0}^{t} \sum_{n=1}^{\infty } \frac{(g(t,s)\varGamma ( \alpha ))^{n}}{\varGamma (n\alpha )}(t-s)^{n\alpha -1}\,ds. $$


Let \(Au(t)=\int_{0}^{t} g(t,s)(t-s)^{\alpha -1}u(s)\,ds\), where \(u(t)\) is nonnegative and locally integrable on \(t\in [0,T]\). It follows that \(u(t)\leq a+Au(t)\), which implies
$$ u(t)\leq \sum_{k=0}^{n-1}A^{k} a+A^{n} u(t) \quad \bigl(A^{0} a=a \bigr). $$
We now prove that
$$ A^{n} u(t)\leq \int_{0}^{t} \frac{(g(t,s)\varGamma (\alpha ))^{n}}{ \varGamma (n\alpha )}(t-s)^{n\alpha -1}u(s) \,ds $$
by induction. For \(n=1\), the proof is trivial. Assume that Eq. (13) holds for \(n=k\). Then, for \(n=k+1\), we obtain
$$\begin{aligned} A^{k+1}u(t) =&A \bigl(A^{k} u(t) \bigr) = \int_{0}^{t} g(t,s) (t-s)^{\alpha -1}A ^{k} u(s)\,ds \\ \leq & \int_{0}^{t} g(t,s) (t-s)^{\alpha -1} \int_{0}^{s} \frac{(g(s, \tau )\varGamma (\alpha ))^{k}}{\varGamma (k\alpha )}(s-\tau )^{k\alpha -1}u( \tau )\,d\tau \,ds \\ \leq & \int_{0}^{t} g(t,\tau ) \int_{0}^{s} \frac{(g(t,\tau )\varGamma ( \alpha ))^{k}}{\varGamma (k\alpha )}(t-s)^{\alpha -1}(s- \tau )^{k\alpha -1}u(\tau )\,d\tau \,ds \\ =& \int_{0}^{t} {g(t,\tau )}^{k+1} \biggl[ \int_{\tau }^{t} \frac{{\varGamma ( \alpha )}^{k}}{\varGamma (k\alpha )}(t-s)^{\alpha -1}(s- \tau )^{k\alpha -1} \,ds \biggr] u(\tau )\,d\tau \\ =& \int_{0}^{t} \frac{{g(t,\tau )}^{k+1}(\varGamma (\alpha ))^{k}}{ \varGamma (k\alpha )}B(\alpha ,k\alpha ) (t-\tau )^{(k+1)\alpha -1}u( \tau )\,d\tau \\ =& \int_{0}^{t} \frac{(g(t,s)\varGamma (\alpha ))^{k+1}}{\varGamma ((k+1) \alpha )}(t-s)^{(k+1)\alpha -1}u(s) \,ds. \end{aligned}$$
By mathematical induction, the inequality (13) holds for all \(n\in \mathbf{N}\). Replaced \(u(t)\) by a in (13) we deduce that \(A^{k} a\leq a\int_{0}^{t} \frac{(g(t,s)\varGamma (\alpha ))^{k}}{ \varGamma (k\alpha )}(t-s)^{k\alpha -1}\,ds\), \(k=1,2,\ldots \) . Similar to the proof of Lemma 3.4 of [10] we can verify that
$$ A^{n} u(t)\leq \int_{0}^{t} \frac{(M\varGamma (\alpha ))^{n}}{\varGamma (n \alpha )}(t-s)^{n\alpha -1}u(s) \,ds\rightarrow 0 $$
as \(n\rightarrow \infty \) uniformly in \(t\in [0, T]\). Finally, letting \(n\rightarrow \infty \) in (12), we get
$$ u(t)\leq \sum_{n=0}^{\infty }A^{n} a \leq a+a \int_{0}^{t}\sum_{n=1} ^{\infty } \frac{(g(t,s)\varGamma (\alpha ))^{n}}{\varGamma (n\alpha )}(t-s)^{n \alpha -1}\,ds, $$
i.e., the inequality (11) holds. The lemma is proved. □

3 Existence results

In this section, we investigate the existence for BVP (1). For convenience we list the hypothesis.

\(f:[0,T]\times \mathbf{R} \rightarrow \mathbf{R} \) is continuous.

There exists a constant \(L>0 \) such that
$$ \bigl\vert f(t,x_{1})-f(t,x_{2}) \bigr\vert \leq L \vert x_{1}-x_{2} \vert $$
for all \(x_{1}, x_{2}\in \mathbf{R}\) and \(t\in [0,T]\).
There exists \(u\in C([0,T],\mathbf{R}^{+})\) such that
$$ \bigl\vert f(t,x) \bigr\vert \leq u(t) $$
for each \(t\in [0,T]\) and \(x\in \mathbf{R}\).
There exist a continuous function \(\phi_{1}(t)\in C([0,T], \mathbf{R}^{+})\) and a nondecreasing function \(\phi_{2}\in C([0,T], \mathbf{R}^{+})\) such that
$$ \bigl\vert f(t,x) \bigr\vert \leq \phi_{1}(t)\phi_{2} \bigl( \vert x \vert \bigr) $$
for each \(t\in [0,T]\) and \(x\in \mathbf{R}\).

Theorem 3.1

Assume that (\(H_{1}\)) and (\(H_{2}\)) hold. If
$$ M_{1}+LM_{2}< 1, $$
then the boundary value problem (1) has a unique solution in \(C([0,T],\mathbf{R})\).


We define an operator \(S: C([0,T],\mathbf{R})\rightarrow C([0,T],\mathbf{R})\) by
$$\begin{aligned} Sx(t)=\frac{\gamma_{3}}{\varTheta }t^{\alpha -1}+ \int_{0}^{T} G_{1}(t,s)x(s) \,ds+ \int_{0}^{T} G_{2}(t,s)f \bigl(s,x(s) \bigr) \,ds, \end{aligned}$$
for each \(t\in (0,T)\).
By Lemma 2.3, \(x\in C([0,T],\mathbf{R})\) is a solution of problem (1) if and only if x is a fixed point of S. We now prove that S has a fixed point. Taking \(x_{1},x_{2}\in C([0,T],\mathbf{R})\) arbitrary, according to (\(H_{2}\)), we find
$$\begin{aligned}& \bigl\vert Sx_{1}(t)-Sx_{2}(t) \bigr\vert \\& \quad \leq \int_{0}^{T} \bigl\vert G_{1}(t,s) \bigr\vert \bigl\vert x_{1}(s)-x _{2}(s) \bigr\vert \,ds + \int_{0}^{T} \bigl\vert G_{2}(t,s) \bigr\vert \bigl\vert f \bigl(s,x_{1}(s) \bigr)-f \bigl(s,x_{2}(s) \bigr) \bigr\vert \,ds \\& \quad \leq \Vert x_{1}-x_{2} \Vert \int_{0}^{T} \bigl\vert G_{1}(t,s) \bigr\vert \,ds+L \Vert x_{1}-x _{2} \Vert \int_{0}^{T} \bigl\vert G_{2}(t,s) \bigr\vert \,ds \\& \quad \leq (M_{1}+LM_{2}) \Vert x_{1}-x_{2} \Vert , \end{aligned}$$
and hence
$$ \Vert Sx_{1}-Sx_{2} \Vert \leq (M_{1}+LM_{2}) \Vert x_{1}-x_{2} \Vert . $$
Since \(M_{1}+LM_{2}<1\), S is a contraction. By Banach contraction principle, S has a unique fixed point in \(C([0,T],\mathbf{R})\), i.e., the boundary value problem (1) has a unique solution. This completes the proof. □

Theorem 3.2

Assume that (\(H_{1}\)) and (\(H_{3}\)) hold. If
$$ M_{1}< 1, $$
then the boundary value problem (1) has at least one solution in \(C([0,T],\mathbf{R})\).


We define mappings A and B from \(C((0,T), \mathbf{R})\) into itself by
$$\begin{aligned} Ax(t)=\frac{\gamma_{3}}{\varTheta }t^{\alpha -1}+ \int_{0}^{T} G_{1}(t,s)x(s) \,ds \end{aligned}$$
$$\begin{aligned} Bx(t)= \int_{0}^{T} G_{2}(t,s)f \bigl(s,x(s) \bigr) \,ds. \end{aligned}$$
It is easy to verify that B is continuous on \(C([0,T],\mathbf{R})\), since \(G_{2}\) and f are continuous. Further, since \(M_{1}<1\), we can choose a constant \(r>0\) large enough such that \(M_{1}+\frac{M_{2} \Vert u \Vert }{r}+\frac{\gamma_{3} T^{\alpha -1}}{r\varTheta }<1\), i.e., \(rM_{1}+M _{2} \Vert u \Vert +\frac{\gamma_{3} T^{\alpha -1}}{\varTheta }< r \), where u belongs to \(C([0,T],{\mathbf{R}}^{+})\) such that \(\vert f(t,x) \vert \leq u(t)\), according to (\(H_{3}\)). Set \(B_{r}=\{x\in C((0,T),\mathbf{R}): \Vert x \Vert \leq r\}\). Then \(B_{r}\) is nonempty, bounded, closed and convex. Moreover, for any \(x,y\in B_{r}\) and \(t\in [0,T] \), we have
$$\begin{aligned} \bigl\vert Ax(t) \bigr\vert \leq & \biggl\vert \frac{\gamma_{3} t^{\alpha -1}}{\varTheta } \biggr\vert + \int_{0} ^{T} \bigl\vert G_{1}(t,s) \bigr\vert \bigl\vert x(s) \bigr\vert \,ds \\ \leq & rM_{1}+\frac{\gamma_{3} T^{\alpha -1}}{\varTheta } \end{aligned}$$
$$\begin{aligned} \bigl\vert By(t) \bigr\vert \leq & \int_{0}^{T} \bigl\vert G_{2}(t,s) \bigr\vert \bigl\vert f \bigl(s,x(s) \bigr) \bigr\vert \,ds \\ \leq & M_{2} \Vert u \Vert . \end{aligned}$$
Thus, \(\vert Ax(t)+By(t) \vert \leq rM_{1}+M_{2} \Vert u \Vert +\frac{\gamma_{3} T^{ \alpha -1}}{\varTheta }< r \), i.e., \(Ax+By\in B_{r}\).
Next we prove that A is a contraction. In fact, for any \(x, y\in C((0,T), \mathbf{R})\) and \(t\in [0, 1]\),
$$\begin{aligned} \bigl\vert Ax(t)-Ay(t) \bigr\vert \leq \int_{0}^{T} \bigl\vert G_{1}(t,s) \bigr\vert \bigl\vert x(t)-y(t) \bigr\vert \,ds \leq M _{1} \Vert x-y \Vert . \end{aligned}$$
It follows that \(\Vert Ax-Ay \Vert \leq M_{1} \Vert x-y \Vert \). Since \(M_{1}<1\), we know that A is a contraction.
Finally, we have to show that B is compact. Take any bounded subset \(U\subseteq C([0,T],\mathbf{R}) \). Then there exists a constant \(r_{0}>0\) such that \(U=\{u\in U: \Vert u \Vert \leq r_{0}\}\). We prove that BU is bounded and equicontinuous. In fact, for any \(x\in U \), we have
$$\begin{aligned} \bigl\vert Bx(t) \bigr\vert \leq \int_{0}^{T} \bigl\vert G_{2}(t,s) \bigr\vert \bigl\vert f \bigl(s,x(s) \bigr) \bigr\vert \,ds \leq M_{2} \Vert u \Vert \leq M_{2}r_{0} \end{aligned}$$
for each \(t\in (0,T)\). Hence BU is bounded. Further, for any \(0\leq t_{1}< t_{2}\leq T\) and \(x\in U \), we have
$$\begin{aligned} \bigl\vert Bx(t_{2})-Bx(t_{1}) \bigr\vert =& \biggl\vert \int_{0}^{T} G_{2}(t_{2},s)f \bigl(s,x(s) \bigr)- \int _{0}^{T} G_{2}(t_{1},s)f \bigl(s,x(s) \bigr) \,ds \biggr\vert \\ \leq & \biggl\vert \int_{0}^{T} \frac{\mu }{\varTheta \lambda \varGamma (\alpha - \gamma_{1})} \bigl(t_{1}^{\alpha -1}-t_{2}^{\alpha -1} \bigr) (T-s)^{\alpha -\gamma _{1}-1}f \bigl(s,x(s) \bigr) \,ds \biggr\vert \\ & {} + \biggl\vert \int_{0}^{\eta }\frac{1}{\varTheta \lambda \varGamma (\alpha +\gamma _{2})} \bigl(t_{1}^{\alpha -1}-t_{2}^{\alpha -1} \bigr) (\eta -s)^{\alpha +\gamma _{2}-1}f \bigl(s,x(s) \bigr) \,ds \biggr\vert \\ & {} + \biggl\vert \int_{0}^{t_{1}} \frac{1}{\lambda \varGamma (\alpha )} \bigl[(t_{2}-s)^{ \alpha -1}-(t_{1}-s)^{\alpha -1} \bigr]f \bigl(s,x(s) \bigr) \,ds \biggr\vert \\ & {} + \biggl\vert \int_{t_{1}}^{t_{2}} \frac{1}{\lambda \varGamma (\alpha )}(t_{2}-s)^{ \alpha -1}f \bigl(s,x(s) \bigr) \,ds \biggr\vert \\ \leq & \frac{\mu (t_{2}^{\alpha -1}-t_{1}^{\alpha -1})}{\varTheta \lambda \varGamma (\alpha -\gamma_{1})} \int_{0}^{T} (T-s)^{\alpha -\gamma _{1}-1} \,ds \Vert u \Vert \\ & {} +\frac{t_{2}^{\alpha -1}-t_{1}^{\alpha -1}}{\varTheta \lambda \varGamma (\alpha +\gamma_{2})} \int_{0}^{\eta }(\eta -s)^{\alpha +\gamma_{2}-1} \,ds \Vert u \Vert \\ & {} +\frac{1}{\lambda \varGamma (\alpha )} \int_{0}^{t_{1}} \bigl\vert (t_{2}-s)^{ \alpha -1}-(t_{1}-s)^{\alpha -1} \bigr\vert \,ds \Vert u \Vert \\ & {} +\frac{1}{\lambda \varGamma (\alpha )} \int_{t_{1}}^{t_{2}} (t_{2}-s)^{ \alpha -1} \,ds \Vert u \Vert \\ =& \frac{\mu T^{\alpha -\gamma_{1}}(t_{2}^{\alpha -1}-t_{1}^{\alpha -1})}{\varTheta \lambda \varGamma (\alpha -\gamma_{1}+1)}r_{0} \\ & {} +\frac{\eta^{\alpha +\gamma_{2}}(t_{2}^{\alpha -1}-t_{1}^{\alpha -1})}{ \varTheta \lambda \varGamma (\alpha +\gamma_{2}+1)}r_{0} \\ & {} +\frac{1}{\lambda \varGamma (\alpha +1)} \bigl[t_{2}^{\alpha }-t_{1}^{ \alpha }+2(t_{2}-t_{1})^{\alpha } \bigr]r_{0}. \end{aligned}$$
We can see from the above inequality that \(\vert Bx(t_{2})-Bx(t_{1}) \vert \rightarrow 0\) as \(t_{2}-t_{1}\rightarrow 0\), and the convergence is independent on x, \(t_{1}\) and \(t_{2}\). This shows that BU is equicontinuous. An employment of Arzelà–Ascoli theorem shows that B is compact. Now, we apply Krasnoselskii’s fixed point theorem on operator A and B to deduce that there exists at least one x such that \(Ax+Bx=x\), which is the solution of the boundary value problem (1). □

Theorem 3.3

Assume that (\(H_{1}\)) and (\(H_{4}\)) hold. If
$$ M_{1}+M_{2} \Vert \phi_{1} \Vert \limsup _{r\rightarrow \propto } \frac{\phi_{2}(r)}{r}< 1, $$
then the boundary value problem (1) has at least one solution in \(C([0,T],\mathbf{R})\).


Define a mapping \(S: C([0,T],\mathbf{R})\rightarrow C([0,T], \mathbf{R})\) by
$$ Sx(t)=\frac{\gamma_{3}}{\varTheta }t^{\alpha -1}+ \int_{0}^{T} G_{1}(t,s)x(s) \,ds+ \int_{0}^{T} G_{2}(t,s)f \bigl(s,x(s) \bigr) \,ds $$
for \(t\in [0,T]\). It is easy to prove that S is continuous. In order to apply Schauder’s fixed point theorem, we only need to show that S is compact.
Firstly, we take any bounded subset \(Q\subseteq C([0,T],\mathbf{R})\). Then there exists q (\(q>0\)) satisfying that \(Q\subseteq B_{q}=\{x \in C([0,T],\mathbf{R}): \Vert x \Vert \leq q\}\). Notice that \(B_{q}\) is a closed convex and bounded subset. For any \(x\in B_{q}\), we have
$$\begin{aligned} \bigl\vert Sx(t) \bigr\vert \leq & \biggl\vert \frac{\gamma_{3}t^{\alpha -1}}{\varTheta } \biggr\vert + \int_{0}^{T} \bigl\vert G_{1}(t,s) \bigr\vert \bigl\vert x(s) \bigr\vert \,ds+ \int_{0}^{T} \bigl\vert G_{2}(t,s) \bigr\vert \bigl\vert f \bigl(s,x(s) \bigr) \bigr\vert \,ds \\ \leq & \frac{\gamma_{3}T^{\alpha -1}}{\varTheta }+ \Vert x \Vert \int_{0}^{T} \bigl\vert G _{1}(t,s) \bigr\vert \,ds+ \Vert \phi_{1} \Vert \phi_{2} \bigl( \Vert x \Vert \bigr) \int_{0}^{T} \bigl\vert G_{2}(t,s) \bigr\vert \,ds, \\ \leq & \frac{\gamma_{3}T^{\alpha -1}}{\varTheta }+TM_{1}q+TM_{2} \Vert \phi _{1} \Vert \phi_{2}(q), \end{aligned}$$
which means \(SB_{q}\), and therefore SQ, is uniformly bounded in \(C((0,T),\mathbf{R})\). For \(0\leq t_{1}< t_{2}\leq T\) and any \(x\in B_{q}\),
$$\begin{aligned}& \begin{aligned} \bigl\vert Sx(t_{1})-Sx(t_{2}) \bigr\vert &\leq \frac{\gamma_{3}}{\varTheta } \bigl(t_{2}^{\alpha -1}-t_{1}^{\alpha -1} \bigr)+ \biggl\vert \int_{0}^{T} G_{1}(t_{2},s)x(s)- \int_{0}^{T} G _{1}(t_{1},s)x(s) \,ds \biggr\vert \\ & \quad {} + \biggl\vert \int_{0}^{T} G_{2}(t_{2},s)x(s)- \int_{0}^{T} G_{2}(t_{1},s)x(s) \,ds \biggr\vert \\ &= P_{1}+P_{2}+P_{3}; \end{aligned} \\ & P_{1}=\frac{\gamma_{3}}{\varTheta } \bigl(t_{2}^{\alpha -1}-t_{1}^{\alpha -1} \bigr), \\ & \begin{aligned} P_{2} &= \biggl\vert \int_{0}^{T} G_{1}(t_{2},s)x(s)- \int_{0}^{T} G_{1}(t_{1},s)x(s) \,ds \biggr\vert \\ &\leq \biggl\vert \int_{0}^{T} \frac{\mu }{\varTheta \lambda \varGamma (\alpha - \beta -\gamma_{1})} \bigl(t_{2}^{\alpha -1}-t_{1}^{\alpha -1} \bigr) (T-s)^{\alpha -\beta -\gamma_{1}-1}x(s) \,ds \biggr\vert \\ & \quad {} + \biggl\vert \int_{0}^{\eta }\frac{1}{\varTheta \lambda \varGamma (\alpha -\beta + \gamma_{2})} \bigl(t_{2}^{\alpha -1}-t_{1}^{\alpha -1} \bigr) (\eta -s)^{\alpha - \beta +\gamma_{2}-1}x(s) \,ds \biggr\vert \\ & \quad {} + \biggl\vert \int_{0}^{t_{1}} \frac{1}{\lambda \varGamma (\alpha -\beta )} \bigl[(t _{2}-s)^{\alpha -\beta -1}-(t_{1}-s)^{\alpha -\beta -1} \bigr]x(s) \,ds \biggr\vert \\ & \quad {} + \biggl\vert \int_{t_{1}}^{t_{2}} \frac{1}{\lambda \varGamma (\alpha -\beta )}(t _{2}-s)^{\alpha -\beta -1}x(s) \,ds \biggr\vert \\ &\leq \frac{\mu (t_{2}^{\alpha -1}-t_{1}^{\alpha -1})}{\varTheta \lambda \varGamma (\alpha -\beta -\gamma_{1})} \int_{0}^{T} (T-s)^{\alpha -\beta -\gamma_{1}-1} \,ds \Vert x \Vert \\ & \quad {} +\frac{t_{2}^{\alpha -1}-t_{1}^{\alpha -1}}{\varTheta \lambda \varGamma (\alpha -\beta +\gamma_{2})} \int_{0}^{\eta }(\eta -s)^{\alpha -\beta +\gamma_{2}-1} \,ds \Vert x \Vert \\ & \quad {} +\frac{1}{\lambda \varGamma (\alpha -\beta )} \int_{0}^{t_{1}} \bigl\vert (t_{2}-s)^{ \alpha -\beta -1}-(t_{1}-s)^{\alpha -\beta -1} \bigr\vert \,ds \Vert x \Vert \\ & \quad {} +\frac{1}{\lambda \varGamma (\alpha -\beta )} \int_{t_{1}}^{t_{2}} (t _{2}-s)^{\alpha -\beta -1} \,ds \Vert x \Vert \\ &=\quad \frac{\mu (t_{2}^{\alpha -1}-t_{1}^{\alpha -1})T^{\alpha -\beta - \gamma_{1}}q}{\varTheta \lambda \varGamma (\alpha -\beta -\gamma_{1})} \\ & \quad {} +\frac{(t_{2}^{\alpha -1}-t_{1}^{\alpha -1}) \eta^{\alpha -\beta -\gamma_{1}}q}{\varTheta \lambda \varGamma (\alpha - \beta +\gamma_{2})} \\ & \quad {} +\frac{q}{\lambda \varGamma (\alpha -\beta )} \bigl[t_{2}^{\alpha -\beta }-t _{1}^{\alpha -\beta }+2(t_{2}-t_{1})^{\alpha -\beta } \bigr], \end{aligned} \\ & P_{3} = \biggl\vert \int_{0}^{T} G_{2}(t_{2},s)f \bigl(s,x(s) \bigr)- \int_{0}^{T} G_{2}(t _{1},s)f \bigl(s,x(s) \bigr) \,ds \biggr\vert \\ & \hphantom{P_{3}} \leq \biggl\vert \int_{0}^{T} \frac{\mu }{\varTheta \lambda \varGamma (\alpha - \gamma_{1})} \bigl(t_{1}^{\alpha -1}-t_{2}^{\alpha -1} \bigr) (T-s)^{\alpha -\gamma _{1}-1}f \bigl(s,x(s) \bigr) \,ds \biggr\vert \\ & \hphantom{P_{3}} \quad {} + \biggl\vert \int_{0}^{\eta }\frac{1}{\varTheta \lambda \varGamma (\alpha +\gamma _{2})} \bigl(t_{1}^{\alpha -1}-t_{2}^{\alpha -1} \bigr) (\eta -s)^{\alpha +\gamma _{2}-1}f \bigl(s,x(s) \bigr) \,ds \biggr\vert \\ & \hphantom{P_{3}} \quad {} + \biggl\vert \int_{0}^{t_{1}} \frac{1}{\lambda \varGamma (\alpha )} \bigl[(t_{2}-s)^{ \alpha -1}-(t_{1}-s)^{\alpha -1} \bigr]f \bigl(s,x(s) \bigr) \,ds \biggr\vert \\ & \hphantom{P_{3}}\quad {} + \biggl\vert \int_{t_{1}}^{t_{2}} \frac{1}{\lambda \varGamma (\alpha )}(t_{2}-s)^{ \alpha -1}f \bigl(s,x(s) \bigr) \,ds \biggr\vert \\ & \hphantom{P_{3}}\leq \frac{\mu (t_{2}^{\alpha -1}-t_{1}^{\alpha -1})}{\varTheta \lambda \varGamma (\alpha -\gamma_{1})} \biggl[ \int_{0}^{T} (T-s)^{\alpha - \gamma_{1}-1} \,ds \biggr] \Vert \phi_{1} \Vert \phi_{2} \bigl( \Vert x \Vert \bigr) \\ & \hphantom{P_{3}}\quad {} +\frac{(t_{2}^{\alpha -1}-t_{1}^{\alpha -1})}{\varTheta \lambda \varGamma (\alpha +\gamma_{2})} \biggl[ \int_{0}^{\eta }(\eta -s)^{\alpha +\gamma _{2}-1} \,ds \biggr] \Vert \phi_{1} \Vert \phi_{2} \bigl( \Vert x \Vert \bigr) \\ & \hphantom{P_{3}}\quad {} +\frac{1}{\lambda \varGamma (\alpha )} \biggl[ \int_{0}^{t_{1}} \bigl\vert (t_{2}-s)^{ \alpha -1}-(t_{1}-s)^{\alpha -1} \bigr\vert \,ds \biggr] \Vert \phi_{1} \Vert \phi_{2} \bigl( \Vert x \Vert \bigr) \\ & \hphantom{P_{3}}\quad {} +\frac{1}{\lambda \varGamma (\alpha )} \int_{t_{1}}^{t_{2}} (t_{2}-s)^{ \alpha -1} \,ds \Vert \phi_{1} \Vert \phi_{2} \bigl( \Vert x \Vert \bigr) \\ & \hphantom{P_{3}}= \frac{\mu T^{\alpha -\gamma_{1}}(t_{2}^{\alpha -1}-t_{1}^{\alpha -1})}{\varTheta \lambda \varGamma (\alpha -\gamma_{1}+1)} \Vert \phi_{1} \Vert \phi _{2}(q) \\ & \hphantom{P_{3}}\quad {} +\frac{\eta^{\alpha +\gamma_{2}}(t_{2}^{\alpha -1}-t_{1}^{\alpha -1})}{ \varTheta \lambda \varGamma (\alpha +\gamma_{2}+1)} \Vert \phi_{1} \Vert \phi_{2}(q) \\ & \hphantom{P_{3}}\quad {} +\frac{1}{\lambda \varGamma (\alpha +1)} \bigl[t_{2}^{\alpha }-t_{1}^{ \alpha }+2(t_{2}-t_{1})^{\alpha } \bigr] \Vert \phi_{1} \Vert \phi_{2}(q). \end{aligned}$$
It is trivial that \(P_{1}\), \(P_{2} \) and \(P_{3}\) all tend to 0 as \(t_{2}-t_{1}\rightarrow 0\). Hence, \(\vert Sx(t_{2})-Sx(t_{1}) \vert \rightarrow 0\) (\(t_{2}-t_{1}\rightarrow 0\)). Notice that the convergence is independent on x, \(t_{1}\) and \(t_{2}\). It follows that \(SB_{q}\) is equicontinuous. An application of the Arzelà–Ascoli Theorem yields that \(SB_{q}\) is compact. Therefore, we have shown that S maps bounded subsets into compact subset, i.e., S is a compact mapping.
Now, from the condition \(M_{1}+M_{2} \Vert \phi_{1} \Vert \lim_{r\rightarrow \propto }\sup\frac{\phi_{2}(r)}{r}<1\), we can choose a positive r large enough, such that
$$ M_{1}+M_{2} \Vert \phi_{1} \Vert \frac{\phi_{2}(r)}{r}+\frac{\gamma_{3}T^{ \alpha -1}}{r\varTheta }< 1, $$
i.e., \(M_{1}r+M_{2} \Vert \phi_{1} \Vert \phi_{2}(r)+\frac{\gamma_{3} T^{\alpha -1}}{\varTheta }< r\). Hence, we can take \(C>0\) such that \(M_{1}C+M_{2} \Vert \phi_{1} \Vert \phi_{2}(C)+\frac{\gamma_{3} T^{\alpha -1}}{\varTheta }< C\). Let \(U=\{x\in C((0,T),\mathbf{R}): \Vert x \Vert \leq C\}\). Then \(S:\overline{U} \rightarrow C((0,T),\mathbf{R})\) is compact and continuous. If there exist \(\lambda \in (0,1)\) and \(x\in \overline{U}\) such that \(x=\lambda Sx\), then, for every \(t\in (0,T)\),
$$\begin{aligned} \bigl\vert x(t) \bigr\vert = &\bigl\vert \lambda Sx(t) \bigr\vert \leq \bigl\vert Sx(t) \bigr\vert \\ \leq & \biggl\vert \frac{\gamma_{3}t^{\alpha -1}}{\varTheta } \biggr\vert + \biggl\vert \int_{0}^{T} G_{1}(t,s)x(s) \,ds \biggr\vert + \biggl\vert \int_{0}^{T} G_{2}(t,s)f \bigl(s,x(s) \bigr) \,ds \biggr\vert \\ \leq &\frac{\gamma_{3} T^{\alpha -1}}{\varTheta }+M_{1}C+M_{2} \Vert \phi _{1} \Vert \phi_{2} \bigl( \Vert x \Vert \bigr) \\ \leq & M_{1}C+M_{2} \Vert \phi_{1} \Vert \phi_{2}(C)+\frac{\gamma_{3} T^{ \alpha -1}}{\varTheta }. \end{aligned}$$
It then follows that \(C= \Vert x \Vert \leq M_{1}C+M_{2} \Vert \phi_{1} \Vert \phi_{2}(C)+\frac{ \gamma_{3} T^{\alpha -1}}{\varTheta }< C\), which contradict to the fact that \(x\in \overline{U}\). Thus, \(x\neq \lambda Sx\) for each \(\lambda \in (0,1)\) and \(x\in \overline{U}\). By the Leray Schauder alternative, S has at least one fixed point, which is the solution to the boundary value problem (1). This completes the proof. □

4 Stability analysis

In this section, we study Hyers–Ulam stability of the boundary value problem
$$ \textstyle\begin{cases} \lambda D^{\alpha }_{0}x(t)+D^{\beta }_{0}x(t) = f(t,x(t)), \quad 0\leq t\leq T, \\ x(0)=0, \quad\quad x(T)=\gamma . \end{cases} $$

Definition 4.1

The boundary value problem (14) is Hyers–Ulam stable if there exists a real constant \(c>0\), such that for any \(\varepsilon >0\), and for every solution \(y(t)\in C([0,T],\mathbf{R})\) of the inequality
$$ \bigl\vert \lambda D^{\alpha }_{0}y(t)+D^{\beta }_{0}y(t)-f \bigl(t,y(t) \bigr) \bigr\vert \leq \varepsilon , \quad t\in [0,T], $$
there exists a solution \(x(t)\in C([0,T],\mathbf{R})\) of problem (14) with
$$ \bigl\vert y(t)-x(t) \bigr\vert \leq c\varepsilon , \quad t\in [0,T]. $$

Theorem 4.2

Assume that (\(H_{1}\)) and (\(H_{2}\)) hold. Then the solution of the boundary value problem (14) is Hyers–Ulam stable.


For \(\varepsilon >0\), and each solution \(y(t)\in C([0,T], \mathbf{R})\) of the inequality
$$ \bigl\vert \lambda D^{\alpha }_{0} y(t)+D^{\beta }_{0}y(t)-f \bigl(t,y(t) \bigr) \bigr\vert \leq \varepsilon , \quad t\in [0,T], $$
we can find a function \(g(t)\) satisfying \(\lambda D^{\alpha }_{0} y(t)+D ^{\beta }_{0} y(t)=f(t,y(t))+g(t)\) and \(\vert g(t) \vert \leq \varepsilon \). It follows that
$$\begin{aligned} y(t)&=-\frac{1}{\lambda }I^{\alpha -\beta }_{0} y(t)+ \frac{1}{\lambda }I^{\alpha }_{0} f \bigl(t,y(t) \bigr)+ \frac{1}{\lambda }I^{\alpha }_{0} g(t) \\ &\quad{} +\frac{t ^{\alpha -1}}{T^{\alpha -1}} \biggl[y(T)+\frac{1}{\lambda }I^{\alpha -\beta }_{0} y(T)- \frac{1}{\lambda }I^{\alpha }_{0} f \bigl(T,y(T) \bigr)- \frac{1}{ \lambda }I^{\alpha }_{0} g(T) \biggr]. \end{aligned}$$
Let \(x(t)\in C([0,T],\mathbf{R})\) be the unique solution of (14). Then \(x(t)\) is given by
$$ x(t)=-\frac{1}{\lambda }I^{\alpha -\beta }_{0} x(t)+ \frac{1}{\lambda }I^{\alpha }_{0} f \bigl(t,x(t) \bigr)+ \frac{t^{\alpha -1}}{T^{\alpha -1}} \biggl[x(T)+\frac{1}{ \lambda }I^{\alpha -\beta }_{0} x(T)-\frac{1}{\lambda }I^{\alpha } _{0} f \bigl(T,x(T) \bigr) \biggr]. $$
Then we have
$$\begin{aligned} \bigl\vert y(t)-x(t) \bigr\vert \leq & \frac{1}{\lambda }I^{\alpha -\beta }_{0} \bigl\vert y(t)-x(t) \bigr\vert +\frac{1}{ \lambda }I^{\alpha }_{0} \bigl\vert f \bigl(t,y(t) \bigr)-f \bigl(t,x(t) \bigr) \bigr\vert \\ & {} +\frac{t^{\alpha -1}}{T^{\alpha -1}} \biggl[\frac{1}{\lambda }I^{\alpha - \beta }_{0} \bigl\vert y(T)-x(T) \bigr\vert +\frac{1}{\lambda }I^{\alpha }_{0} \bigl\vert f \bigl(T,y(T) \bigr)-f \bigl(T,x(T) \bigr) \bigr\vert \biggr] \\ & {} +\frac{1}{\lambda }I^{\alpha }_{0} \bigl\vert g(t) \bigr\vert +\frac{t^{\alpha -1}}{ \lambda T^{\alpha -1}}I^{\alpha }_{0} \bigl\vert g(T) \bigr\vert \\ \leq & \frac{1}{\lambda } \int_{0}^{t} \biggl[\frac{(t-s)^{\alpha -\beta -1}}{ \varGamma (\alpha -\beta )}+L \frac{(t-s)^{\alpha -1}}{\varGamma (\alpha )} \biggr] \bigl\vert y(s)-x(s) \bigr\vert \,ds \\ & {} +\frac{t^{\alpha -1}}{\lambda T^{\alpha -1}} \int_{0}^{T} \biggl[\frac{(T-s)^{ \alpha -\beta -1}}{\varGamma (\alpha -\beta )}+L \frac{(T-s)^{\alpha -1}}{ \varGamma (\alpha )} \biggr] \bigl\vert y(s)-x(s) \bigr\vert \,ds \\ & {} +\frac{1}{\lambda } \int_{0}^{t}\frac{(t-s)^{\alpha -1}}{\varGamma ( \alpha )} \bigl\vert g(s) \bigr\vert \,ds+\frac{t^{\alpha -1}}{\lambda T^{\alpha -1}} \int_{0} ^{T}\frac{(T-s)^{\alpha -1}}{\varGamma (\alpha )} \bigl\vert g(s) \bigr\vert \,ds \\ \leq & \frac{1}{\lambda } \int_{0}^{t} \biggl[\frac{(t-s)^{\alpha -\beta -1}}{ \varGamma (\alpha -\beta )}+L \frac{(t-s)^{\alpha -1}}{\varGamma (\alpha )} \biggr] \bigl\vert y(s)-x(s) \bigr\vert \,ds \\ & {} +\frac{1}{\lambda } \int_{0}^{T} \biggl[\frac{(T-s)^{\alpha -\beta -1}}{ \varGamma (\alpha -\beta )}+L \frac{(T-s)^{\alpha -1}}{\varGamma (\alpha )} \biggr] \bigl\vert y(s)-x(s) \bigr\vert \,ds \\ & {} +2\varepsilon \frac{1}{\lambda } \int_{0}^{T}\frac{(T-s)^{\alpha -1}}{ \varGamma (\alpha )}\,ds \\ \leq & \frac{1}{\lambda } \int_{0}^{t} \biggl[\frac{(t-s)^{\alpha -\beta -1}}{ \varGamma (\alpha -\beta )}+L \frac{(t-s)^{\alpha -1}}{\varGamma (\alpha )} \biggr] \bigl\vert y(s)-x(s) \bigr\vert \,ds \\ & {} +M(\varepsilon )\varepsilon +\frac{2T^{\alpha }}{\lambda \varGamma ( \alpha +1)}\varepsilon , \end{aligned}$$
where \(\frac{1}{\lambda }\int_{0}^{T}[\frac{(T-s)^{\alpha -\beta -1}}{ \varGamma (\alpha -\beta )}+L\frac{(T-s)^{\alpha -1}}{\varGamma (\alpha )}] \vert y(s)-x(s) \vert \,ds \leq M(\varepsilon )\varepsilon \) and \(M(\varepsilon )\) is a constant dependent on ε. Let \(g(t,s)=\frac{1}{\lambda \varGamma ( \alpha -\beta )}+L\frac{(t-s)^{\beta }}{\lambda \varGamma (\alpha )}\) and \(\overline{M}=M(\varepsilon )+\frac{2T^{\alpha }}{\lambda \varGamma ( \alpha +1)}\). Then
$$ \bigl\vert y(t)-x(t) \bigr\vert \leq \overline{M}\varepsilon + \int_{0}^{t} g(t,s) (t-s)^{ \alpha -\beta -1} \bigl\vert y(s)-x(s) \bigr\vert \,ds. $$
We note that \(g(t,s)\leq \frac{1}{\lambda \varGamma (\alpha -\beta )}+L\frac{T ^{\beta }}{\lambda \varGamma (\alpha )}\) (=M). Hence, in view of Lemma 3.4,
$$\begin{aligned} \bigl\vert y(t)-x(t) \bigr\vert \leq & \overline{M}\varepsilon + \overline{M}\varepsilon \int_{0}^{t} \sum_{n=1}^{\infty } \frac{(g(t,s)\varGamma (\alpha -\beta ))^{n}}{ \varGamma (n(\alpha -\beta ))}(t-s)^{n(\alpha -\beta )-1}\,ds \\ \leq & \overline{M}\varepsilon +\overline{M}\varepsilon \int_{0}^{t} \sum_{n=1}^{\infty } \frac{(M\varGamma (\alpha -\beta ))^{n}}{\varGamma (n( \alpha -\beta ))}(t-s)^{n(\alpha -\beta )-1}\,ds \\ =&\overline{M}\varepsilon +\overline{M}\varepsilon \sum _{n=1}^{ \infty }\frac{(M\varGamma (\alpha -\beta ))^{n}}{\varGamma (n(\alpha - \beta )+1)}T^{n(\alpha -\beta )} \\ \leq &\overline{M}\varepsilon E_{\alpha -\beta } \bigl(MT^{(\alpha -\beta )}\varGamma (\alpha -\beta ) \bigr). \end{aligned}$$
Let \(c=\overline{M}E_{\alpha -\beta }(MT^{(\alpha -\beta )}\varGamma ( \alpha -\beta ))\). The inequality
$$ \bigl\vert y(t)-x(t) \bigr\vert \leq c\varepsilon $$
holds. Thus, the boundary value problem (14) is Hyers–Ulam stable. □

5 Examples

Example 5.1

Let us consider the following multiply three-term fractional differential equation
$$ \textstyle\begin{cases} \frac{4}{5}D^{\frac{3}{2}}_{0}x(t)+D^{\frac{5}{4}}_{0}x(t) = t^{2} \sin(x(t)), \quad 0< t< {\frac{1}{4}}, \\ x(0)=0, \quad\quad \frac{1}{8}D^{\frac{1}{8}}_{0}x(\frac{1}{4})+I^{\frac{3}{4}}_{0}x( \frac{1}{8})=\frac{1}{16}. \end{cases} $$

Here \(\alpha =\frac{3}{2}\), \(\beta =\frac{5}{4}\), \(\lambda = \frac{4}{5}\), \(\mu =\frac{1}{8}\), \(\gamma_{1}=\frac{1}{8}<\alpha - \beta \), \(\gamma_{2}=\frac{3}{4}\), \(\gamma_{3}=\frac{1}{16}\), \(T=\frac{1}{4}\), \(\eta =\frac{1}{8}\) and \(f(t,x)={t^{2}}\sin x\). It is evident that \(\vert f(t,x_{1})-f(t,x_{2}) \vert <(\frac{1}{4})^{2} \vert x_{1}-x_{2} \vert < \vert x _{1}-x_{2} \vert \), which satisfies condition \((H_{2})\). So, we can select \(L=1\). We can calculate that \(\varTheta =0.9090913801766\), \(M_{1}\leq 0.4588930235784\), \(M_{2}\leq 0.0465184974808\). So, \(M_{1}+LM_{2}\leq 0.5054115210592<1\). Therefore, by applying Theorem 3.1, we deduce that the boundary value problem (15) has a unique solution on \((0,\frac{1}{4})\).

Let \(g(t,s)=\frac{1}{\lambda \varGamma (\alpha -\beta )}+L\frac{(t-s)^{ \beta }}{\lambda \varGamma (\alpha )}\). Noting that \(g(t,s)\leq \frac{1}{ \lambda \varGamma (\alpha -\beta )}+L\frac{T^{\beta }}{\lambda \varGamma ( \alpha )}\approx 4.7314835278026\) (=M). Let \(x(\frac{1}{4})=1\). By Theorem 4.2, the problem (15) with \(x(\frac{1}{4})=1\) is Hyers–Ulam stable.

Example 5.2

Considering the following boundary value problem which contains Riemann–Liouville fractional derivatives of two orders in a differential equation and the condition
$$ \textstyle\begin{cases} \frac{4}{5}D^{\frac{3}{2}}_{0}x(t)+D^{\frac{5}{4}}_{0}x(t) = t^{2} x ^{\frac{1}{2}}, \quad 0< t< {\frac{1}{8}}, \\ x(0)=0, \quad\quad \frac{1}{16}D^{\frac{1}{8}}_{0}x(\frac{1}{4})+I^{\frac{3}{4}}_{0}x( \frac{1}{16})=\frac{1}{24}. \end{cases} $$

Here \(\alpha =\frac{3}{2}\), \(\beta =\frac{5}{4}\), \(\lambda = \frac{4}{5}\), \(\mu =\frac{1}{16}\), \(\gamma_{1}=\frac{1}{8}<\alpha - \beta \), \(\gamma_{2}=\frac{3}{4}\), \(\gamma_{3}=\frac{1}{24}\), \(T=\frac{1}{8}\) and \(\eta =\frac{1}{16}\). By direct computation, we have \(\varTheta \approx 0.053013292298\), \(M_{1}\leq 0.2209565547363\), \(M_{2}\leq 0.0111290158488\). Choosing \(\phi_{1}(t)=t^{2}\) and \(\phi_{2}=x^{\frac{1}{2}}\), we can show that \(M_{1}+M_{2} \Vert \phi_{1} \Vert \lim_{r\rightarrow \propto }\sup\frac{\phi_{2}(r)}{r}<1\). Hence, by Theorem 3.3, the problem (16) has at least one solution on \((0,\frac{1}{8})\).

6 Conclusion

In this paper, we study a class of two-term fractional differential equations. We first investigate the Green function of a three-point boundary value problems with mixed fractional differential and integral boundary conditions. Existence results are obtained based on some fixed point theorems. We also study the Hyers–Ulam stability for null boundary conditions. Our results improve and generalize the results in [11, 19, 38] and [20]. Moreover, we present a Gronwall type inequality of fractional order integral by the method of iteration.



The authors thank the anonymous referees for carefully reading the paper and for their comments and suggestions.


This research was partially supported by the National Natural Science Foundation of China (11571300) and the Natural Science Foundation for Universities in Jiangsu Province of China (16KJB110023).

Authors’ contributions

The authors have made the same contribution. All authors read and approved the final manuscript.

Competing interests

The authors declare that they have no competing interests.

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Authors’ Affiliations

School of Mathematical Sciences, Yangzhou University, Yangzhou, China


  1. Kilbas, A.A., Srivastava, H.M., Trujillo, J.J.: Theory and Applications of Fractional Differential Equations. North-Holland Mathematics Studies, vol. 204. Elsevier, Amsterdam (2006) View ArticleGoogle Scholar
  2. Podlubny, I.: Fractional Differential Equations. Academic Press, San Diego (1999) MATHGoogle Scholar
  3. Atangana, A.: Non validity of index law in fractional calculus: a fractional differential operator with Markovian and non-Markovian properties. Physica A 505, 688–706 (2018) MathSciNetView ArticleGoogle Scholar
  4. Atangana, A.: Blind in a commutative world: simple illustrations with functions and chaotic attractors. Chaos Solitons Fractals 114, 347–363 (2018) MathSciNetView ArticleGoogle Scholar
  5. Atangana, A., Gómez-Aguilar, J.F.: Fractional derivatives with no-index law property: application to chaos and statistics. Chaos Solitons Fractals 114, 516–535 (2018) MathSciNetView ArticleGoogle Scholar
  6. Atangana, A., Gómez-Aguilar, J.F.: Decolonisation of fractional calculus rules: breaking commutativity and associativity to capture more natural phenomena. Eur. Phys. J. Plus 133(4), 166 (2018) View ArticleGoogle Scholar
  7. Graef, J.R., Kong, L., Wang, M.: Existence and uniqueness of solutions for a fractional boundary value problem on a graph. Fract. Calc. Appl. Anal. 17, 499–510 (2014) MathSciNetView ArticleGoogle Scholar
  8. Heymans, N., Podlubny, I.: Physical interpretation of initial conditions for fractional differential equations with Riemann–Liouville fractional derivatives. Rheologica Acta 45(5), 765–771 (2006) View ArticleGoogle Scholar
  9. Agarwal, R.P., Benchohra, M., Hamani, S.: A survey on existence results for boundary value problems of nonlinear fractional differential equations and inclusions. Acta Appl. Math. 109, 973–1033 (2010) MathSciNetView ArticleGoogle Scholar
  10. Dong, Q., Liu, C., Fan, Z.: Weighted fractional differential equations with infinite delay in Banach spaces. Open Math. 14, 370–383 (2016) MathSciNetView ArticleGoogle Scholar
  11. Bagley, R.L., Torvik, P.J.: On the appearance of the fractional derivative in the behavior of real materials. J. Appl. Mech. 51, 294–298 (1984) View ArticleGoogle Scholar
  12. Čermák, J., Kisela, T., Nechvatál, L.: Stability and asymptotic properties of a linear fractional difference equation. Adv. Differ. Equ. 2012, 122 (2012). MathSciNetView ArticleMATHGoogle Scholar
  13. Das, S.: Analytical solution of a fractional diffusion equation by variational iteration method. Comput. Math. Appl. 57(3), 483–487 (2009) MathSciNetView ArticleGoogle Scholar
  14. El-gamel, M., El-Hady, M.A.: Numerical solution of the Bagley–Torvik equation by Legendre-collocation method. SeMA J. 74(4), 371–383 (2017). MathSciNetView ArticleMATHGoogle Scholar
  15. Meerschaert, M., Tadjeran, C.: Finite difference approximations for two-sided space-fractional partial differential equations. Appl. Numer. Math. 56, 80–90 (2006) MathSciNetView ArticleGoogle Scholar
  16. Odibat, Z., Momani, S.: Application of variational iteration method to nonlinear differential equations of fractional order. Int. J. Nonlinear Sci. Numer. Simul. 7(1), 27–34 (2006) MathSciNetView ArticleGoogle Scholar
  17. Ganji, Z., Ganji, D., Jafari, H., Rostamian, M.: Application of the homotopy perturbation method to coupled system of partial differential equations with time fractional derivatives. Topol. Methods Nonlinear Anal. 31(2), 341–348 (2008) MathSciNetMATHGoogle Scholar
  18. Huang, Q.A., Zhong, X.C., Guo, B.L.: Approximate solution of Bagley–Torvik equations with variable coefficients and three-point boundary-value conditions. Int. J. Appl. Comput. Math. 2, 327–347 (2016) MathSciNetView ArticleGoogle Scholar
  19. Niyom, S., Ntouyas, S.K., Laoprasittichok, S., Taiboon, J.: Boundary value problem with four orders of Riemann–Liouville fractional derivations. Adv. Differ. Equ. 2016, 165 (2016). View ArticleMATHGoogle Scholar
  20. Ntouyas, S.K., Tariboon, J.: Fractional boundary value problems with mutiply orders of fractional derivatives and integrals. Electron. J. Differ. Equ. 2017, 100 (2017) View ArticleGoogle Scholar
  21. Ahmad, B., Ntouyas, S.K., Alsaedi, A.: New existence results for nonlinear fractional differential equations with three-point integral boundary conditions. Adv. Differ. Equ. 2011, Article ID 107384 (2011) MathSciNetView ArticleGoogle Scholar
  22. Alsaedi, A., Ntouyas, S.K., Ahmad, B.: New existence resultss for fractional integro-differential equations with nonlocal integral boundary conditions. Abstr. Appl. Anal. 2015, Article ID 205452 (2015) View ArticleGoogle Scholar
  23. Stanek, S.: Two-point boundary value problems for the generalized Bagley–Torvik fractional differential equation. Cent. Eur. J. Math. 11(3), 574–593 (2013) MathSciNetMATHGoogle Scholar
  24. Bai, Z.B., Sun, W.: Existence and multiplicity of positive solutions for singular fractional boundary value problems. Comput. Math. Appl. 63, 1369–1381 (2012) MathSciNetView ArticleGoogle Scholar
  25. Ahmad, B., Ntoyas, S.K., Tariboon, J.: Fractional differential equations with nonlocal integral and integer-fractional-order Neumann type boundary conditions. Mediterr. J. Math. (2015). View ArticleGoogle Scholar
  26. Ahmad, B., Ntoyas, S.K.: Existence results for Caputo type sequential fractional differential inclusions with nonlocal integer boundary conditions. J. Appl. Math. Comput. 50, 157–174 (2016) MathSciNetView ArticleGoogle Scholar
  27. Ulam, S.M.: A Collection of the Mathematical Problems. Interscience, New York (1960) MATHGoogle Scholar
  28. Hyers, D.H.: On the stability of the linear functional differential equations. J. Math. Anal. Appl. 426(2), 1192–1200 (2005) MathSciNetGoogle Scholar
  29. Jung, S.M.: Hyers–Ulam stability of linear differentia equations of first order. Appl. Math. Lett. 19, 854–858 (2006) MathSciNetView ArticleGoogle Scholar
  30. Jung, S.M.: Hyers–Ulam–Rassias Stability of Functional Equations in Nonlinear Analysis. Springer, New York (2011) View ArticleGoogle Scholar
  31. Huang, J., Li, Y.: Hyers–Ulam stability of linear functinal differential equations. J. Math. Anal. Appl. 426, 1192–1200 (2015) MathSciNetView ArticleGoogle Scholar
  32. Wang, C., Xu, T.-Z.: Hyers–Ulam stability of fractional linear differential equations involving Caputo fractional derivatives. Appl. Math. 69(4), 383–393 (2015) MathSciNetView ArticleGoogle Scholar
  33. Wang, J., Lv, L., Zhou, Y.: Ulam stability and data dependence for fractional differential equations with Caputo derivative. Electron. J. Qual. Theory Differ. Equ. 2011, 63 (2011). MathSciNetView ArticleMATHGoogle Scholar
  34. Wang, J., Li, X.: A uniform method to Ulam–Hyers stability for some linear fractional equations. Mediterr. J. Math. 13(2), 625–635 (2016) MathSciNetView ArticleGoogle Scholar
  35. Wang, J., Li, X.: Ulam–Hyers stability of fractional Langevin equations. Appl. Math. Comput. 258, 72–83 (2015). MathSciNetView ArticleMATHGoogle Scholar
  36. Wang, J., Zhou, Y., Lin, Z.: On a new class of impulsive fractional differential equations. Appl. Math. Comput. 242, 649–657 (2014). MathSciNetView ArticleMATHGoogle Scholar
  37. Kumam, P., Ali, A., Shah, K., Khan, R.A.: Existence results and Hyers–Ulam stability to a class of nonlinear arbitrary order differential equations. J. Nonlinear Sci. Appl. 10(6), 2986–2997 (2017) MathSciNetView ArticleGoogle Scholar
  38. Kaufmann, E.R., Yao, K.D.: Existence of solutions for a nonlinear fractional order differential equation. Electron. J. Quali. Theory Diff. Equ. 2009, 71 (2009) MathSciNetMATHGoogle Scholar
  39. Ye, H., Gao, J., Ding, Y.: A generalized Gronwall inequality and its application to a fractional differential equation. J. Math. Anal. Appl. 328(2), 1075–1081 (2007) MathSciNetView ArticleGoogle Scholar


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