Engineering and Applied Science Letter

New Hadamard and Fejér-Hadamard fractional inequalities for exponentially \(m\)-convex function

Sajid Mehmood, Ghulam Farid\(^1\), Khuram Ali Khan, Muhammad Yussouf
Department of Mathematics, COMSATS University Islamabad, Attock Campus, Pakistan.; (S.M & G.F)
Department of Mathematics, University of Sargodha, Sargodha, Pakistan.; (K.A.K & M.Y)

\(^{1}\)Corresponding Author: ghlmfarid@cuiatk.edu.pk

Abstract

In this article, we present new fractional Hadamard and Fejér-Hadamard inequalities for generalized fractional integral operators containing Mittag-Leffler function via a monotone function. To establish these inequalities we will use exponentially \(m\)-convex functions. The presented results in particular contain a number of fractional Hadamard and Fejér-Hadamard inequalities for functions deducible from exponentially \(m\)-convex functions.

Keywords:

Convex functions, exponentially \(m\)-convex functions, Hadamard inequality, Fejér-Hadamard inequality, generalized fractional integral operators, Mittag-Leffler function.

1. Introduction

A real valued function \(\eta: I\rightarrow\mathbb{R}\) is said to be convex on \(I\), if the following inequality holds:
\begin{equation}\label{34} \eta(\tau \varsigma_{1}+(1-\tau)\varsigma_{2})\leq \tau\eta(\varsigma_{1})+(1-\tau)\eta(\varsigma_{2}),\,\,\,\,\forall \varsigma_{1},\varsigma_{2} \in I,\,\,\, \,\,\, \tau\in[0,1]. \end{equation}
(1)
The function \(\eta\) is said to be concave if reversed of inequality (1) holds.
A convex function is also equally defined by the well known Hadamard inequality stated as follows: \begin{equation*} \eta\left(\frac{\varsigma_{1}+\varsigma_{2}}{2}\right)\leq \frac{1}{\varsigma_{2}-\varsigma_{1}}\int^{\varsigma_{2}}_{\varsigma_{1}}\eta(\tau)d\tau\leq \frac{\eta(\varsigma_{1})+\eta(\varsigma_{2})}{2}, \end{equation*} where \(\eta:[\varsigma_{1},\varsigma_{2}]\rightarrow \mathbb{R}\) is a convex function.
In [1], Fejér gave the generalization of Hadamard inequality stated as follows:
\begin{equation}\label{r} \eta\left(\frac{\varsigma_{1}+\varsigma_{2}}{2}\right)\int_{\varsigma_{1}}^{\varsigma_{2}}\kappa(\tau)d\tau\leq \int_{\varsigma_{1}}^{\varsigma_{2}}\eta(\tau)\kappa(\tau)d\tau\leq \frac{\eta(\varsigma_{1})+\eta(\varsigma_{2})}{2}\int_{\varsigma_{1}}^{\varsigma_{2}}\kappa(\tau)d\tau, \end{equation}
(2)
where \(\eta:[\varsigma_{1},\varsigma_{2}]\rightarrow \mathbb{R}\) is convex function and \(\kappa:[\varsigma_{1},\varsigma_{2}]\rightarrow \mathbb{R}\) is a positive, integrable and symmetric to \(\frac{\varsigma_{1}+\varsigma_{2}}{2}\).
The inequality (2) is well known as the Fejér-Hadamard inequality. The Hadamard and the Fejér-Hadamard inequalities have been analyzed by many researchers and produced frequently their generalizations, refinements and extensions (see, [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18]).
In [19], Rashid et al., introduced the concept of exponentially \(m\)-convex functions defined as follows:

Definition 1. A real-valued function \(\eta: I\rightarrow\mathbb{R}\) is said to be exponentially \(m\)-convex, if the following inequality holds:

\begin{equation}\label{34**} e^{ \eta(\tau \varsigma_{1}+m(1-\tau)\varsigma_{2})}\leq \tau e^{\eta(\varsigma_{1})}+m(1-\tau)e^{\eta(\varsigma_{2})},\,\,\,\,\forall \varsigma_{1},\varsigma_{2} \in I,\,\,m\in(0,1],\,\,\,\,\,\, \tau\in[0,1]. \end{equation}
(3)
If we take \(m=1\) in (3), then exponentially convex function defined by Antczak in [20] is obtained, see also [6]. We recall that a real-valued function \(\eta: I\rightarrow\mathbb{R}\) is said to be exponentially convex, if the following inequality holds:
\begin{equation}\label{34*} e^{ \eta(\tau \varsigma_{1}+(1-\tau)\varsigma_{2})}\leq \tau e^{\eta(\varsigma_{1})}+(1-\tau)e^{\eta(\varsigma_{2})},\,\,\,\,\forall \varsigma_{1},\varsigma_{2} \in I,\,\,\,\,\,\,\, \tau\in[0,1]. \end{equation}
(4)
Next we give the definition of generalized fractional integral operators containing Mittag-Leffler function in their kernels as follows:

Definition 2.[21] Let \(\omega,\vartheta,\theta,l,\rho,c\in \mathbb{C}\), \(\Re(\vartheta),\Re(\theta),\Re(l)>0\), \(\Re(c)>\Re(\rho)>0\) with \(p\geq0\), \(r>0\) and \(0< q\leq r+\Re(\vartheta)\). Let \(\eta\in L_{1}[\varsigma_{1},\varsigma_{2}]\) and \(u\in[\varsigma_{1},\varsigma_{2}].\) Then the generalized fractional integral operators \(\Upsilon_{\vartheta,\theta,l,\omega,\varsigma_{1}^{+}}^{\rho,r,q,c}\eta \) and \(\Upsilon_{\vartheta,\theta,l,\omega,\varsigma_{2}^{-}}^{\rho,r,q,c}\eta\) are defined by:

\begin{equation}\label{a} \left(\Upsilon_{\vartheta,\theta,l,\omega,\varsigma_{1}^{+}}^{\rho,r,q,c}\eta \right)(u;p)=\int_{\varsigma_{1}}^{u}(u-\tau)^{\theta-1}E_{\vartheta,\theta,l}^{\rho,r,q,c}(\omega(u-\tau)^{\vartheta};p)\eta(\tau)d\tau, \end{equation}
(5)
\begin{equation}\label{ba} \left(\Upsilon_{\vartheta,\theta,l,\omega,\varsigma_{2}^{-}}^{\rho,r,q,c}\eta \right)(u;p)=\int_{u}^{\varsigma_{2}}(\tau-u)^{\theta-1}E_{\vartheta,\theta,l}^{\rho,r,q,c}(\omega(\tau-u)^{\vartheta};p)\eta(\tau)d\tau, \end{equation}
(6)
where \(E_{\vartheta,\theta,l}^{\rho,r,q,c}(\tau;p)\) is the generalized Mittag-Leffler function defined as follows: \begin{equation*} E_{\vartheta,\theta,l}^{\rho,r,q,c}(\tau;p)= \sum_{n=0}^{\infty}\frac{\beta_{p}(\rho+nq,c-\rho)}{\beta(\rho,c-\rho)} \frac{(c)_{nq}}{\Gamma(\vartheta n +\theta)} \frac{\tau^{n}}{(l)_{n r}}. \end{equation*}

In [22], Farid defined the following unified integral operators:

Definition 3. Let \(\eta, \kappa: [\varsigma_{1},\varsigma_{2}]\rightarrow \mathbb{R}\), \(0< \varsigma_{1}< \varsigma_{2}\) be the functions such that \(\eta\) be a positive and integrable and \(\kappa\) be a differentiable and strictly increasing. Also, let \(\frac{\gamma}{u}\) be an increasing function on \([\varsigma_{1},\infty)\) and \(\theta,l,\rho,c\in \mathbb{C}\), \(p,\vartheta,r\geq0\) and \(0< q\leq r+\vartheta\). Then for \(u\in[\varsigma_{1},\varsigma_{2}]\) the integral operators \(_{\kappa}\Upsilon_{\vartheta, \theta,l, \varsigma_{1}^{+}}^{\gamma, \rho,r,q,c}\eta\) and \(_{\kappa}\Upsilon_{\vartheta, \theta,l, \varsigma_{2}^{-}}^{\gamma, \rho,r,q,c}\eta\) are defined by:

\begin{align}\label{sd} \left(_{\kappa}\Upsilon_{\vartheta, \theta,l, \varsigma_{1}^{+}}^{\gamma, \rho,r,q,c}\eta\right)(u;p)=\int_{\varsigma_{1}}^{u}\frac{\gamma(\kappa(u)-\kappa(\tau))}{\kappa(u)-\kappa(\tau)} E_{\vartheta, \theta, l}^{\rho,r,q,c} (\omega(\kappa(u)-\kappa(\tau))^{\vartheta};p)\eta(\tau)d(\kappa(\tau)), \end{align}
(7)
\begin{align}\label{sb} \left(_{\kappa}\Upsilon_{\vartheta, \theta,l, \varsigma_{2}^{-}}^{\gamma, \rho,r,q,c}\eta\right)(u;p)=\int_{u}^{\varsigma_{2}}\frac{\gamma(\kappa(\tau)-\kappa(u))}{\kappa(\tau)-\kappa(u)} E_{\vartheta, \theta, l}^{\rho,r,q,c} (\omega(\kappa(\tau)-\kappa(u))^{\vartheta};p)\eta(\tau)d(\kappa(\tau)). \end{align}
(8)
If we take \(\gamma(u)=u^\theta\) in (7) and (8), then we get the following generalized fractional integral operators containing Mittag-Leffler function:

Definition 4. Let \(\eta, \kappa: [\varsigma_{1},\varsigma_{2}]\rightarrow \mathbb{R}\), \(0< \varsigma_{1}< \varsigma_{2}\) be the functions such that \(\eta\) be a positive and integrable and \(\kappa\) be a differentiable and strictly increasing. Also, let \(\vartheta, \theta,l,\omega,\rho,c\in \mathbb{C}\), \(p,\vartheta,r\geq0\) and \(0< q\leq r+\vartheta\). Then for \(u\in[\varsigma_{1},\varsigma_{2}]\) the integral operators \(_{\kappa}\Upsilon_{\vartheta, \theta,l,\omega, \varsigma_{1}^{+}}^{\rho,r,q,c}\eta\) and \(_{\kappa}\Upsilon_{\vartheta, \theta,l,\omega, \varsigma_{2}^{-}}^{ \rho,r,q,c}\eta\) are defined by:

\begin{equation}\label{1} \left(_{\kappa}\Upsilon_{\vartheta, \theta,l, \omega, \varsigma_{1}^{+}}^{ \rho,r,q,c}\eta\right)(u;p)=\int_{\varsigma_{1}}^{u}(\kappa(u)-\kappa(\tau))^{\theta-1} E_{\vartheta, \theta, l}^{\rho,r,q,c} (\omega(\kappa(u)-\kappa(\tau))^{\vartheta};p)\eta(\tau)d(\kappa(\tau)), \end{equation}
(9)
\begin{equation}\label{7} \left(_{\kappa}\Upsilon_{\vartheta, \theta,l,\omega, \varsigma_{2}^{-}}^{ \rho,r,q,c}\eta\right)(u;p)=\int_{u}^{\varsigma_{2}}(\kappa(\tau)-\kappa(u))^{\theta-1} E_{\vartheta, \theta, l}^{\rho,r,q,c} (\omega(\kappa(\tau)-\kappa(u))^{\vartheta};p)\eta(\tau)d(\kappa(\tau)). \end{equation}
(10)

Remark 1. (9) and (10) are the generalization of the following fractional integral operators:

  1. By taking \(\kappa(u)=u\), the fractional integral operators (5) and (6), can be achieved.
  2. By taking \(\kappa(u)=u\) and \(p=0\), the fractional integral operators defined by Salim-Faraj in [23], can be achieved.
  3. By taking \(\kappa(u)=u\) and \(l=r=1\), the fractional integral operators defined by Rahman et al., in [24], can be achieved.
  4. By taking \(\kappa(u)=u\), \(p=0\) and \(l=r=1\), the fractional integral operators defined by Srivastava-Tomovski in [25], can be achieved.
  5. By taking \(\kappa(u)=u\), \(p=0\) and \(l=r=q=1\), the fractional integral operators defined by Prabhakar in [26], can be achieved.
  6. By taking \(\kappa(u)=u\) and \(\omega=p=0\), the Riemann-Liouville fractional integral operators can be achieved.

From generalized fractional integral operator (9), we have \begin{align*} \left(_{\kappa}\Upsilon_{\vartheta, \theta,l, \omega, \varsigma_{1}^{+}}^{ \rho,r,q,c}1\right)(u;p)&=\int_{\varsigma_{1}}^{u}(\kappa(u)-\kappa(\tau))^{\theta-1} E_{\vartheta, \theta, l}^{\rho,r,q,c} (\omega(\kappa(u)-\kappa(\tau))^{\vartheta};p)d(\kappa(\tau))\nonumber\\&=\int_{\varsigma_{1}}^{u}(\kappa(u)-\kappa(\tau))^{\theta-1} \sum_{n=0}^{\infty}\frac{\beta_{p}(\rho+nq,c-\rho)}{\beta(\rho,c-\rho)} \frac{(c)_{nq}}{\Gamma(\vartheta n +\theta)} \frac{\omega^{n}(\kappa(u)-\kappa(\tau))^{\vartheta n}}{(l)_{n r}}d(\kappa(\tau))\nonumber\\&=\sum_{n=0}^{\infty}\frac{\beta_{p}(\rho+nq,c-\rho)}{\beta(\rho,c-\rho)} \frac{(c)_{nq}}{\Gamma(\vartheta n +\theta)} \frac{\omega^{n}}{(l)_{n r}}\int_{\varsigma_{1}}^{u}(\kappa(u)-\kappa(\tau))^{\vartheta n+\theta-1}d(\kappa(\tau))\\&=(\kappa(u)-\kappa(\varsigma_{1}))^{\theta}\sum_{n=0}^{\infty}\frac{\beta_{p}(\rho+nq,c-\rho)}{\beta(\rho,c-\rho)} \frac{(c)_{nq}}{\Gamma(\vartheta n +\theta)} \frac{\omega^{n}}{(l)_{n r}}\frac{(\kappa(u)-\kappa(\varsigma_{1}))^{\vartheta n}}{\vartheta n+\theta}\\&=(\kappa(u)-\kappa(\varsigma_{1}))^{\theta}\sum_{n=0}^{\infty}\frac{\beta_{p}(\rho+nq,c-\rho)}{\beta(\rho,c-\rho)} \frac{(c)_{nq}}{\Gamma(\vartheta n +\theta+1)} \frac{\omega^{n}(\kappa(u)-\kappa(\varsigma_{1}))^{\vartheta n}}{(l)_{n r}}\\&=(\kappa(u)-\kappa(\varsigma_{1}))^{\theta}E_{\vartheta, \theta+1, l}^{\rho,r,q,c} (\omega(\kappa(u)-\kappa(\varsigma_{1}))^{\vartheta};p). \end{align*} Hence \begin{equation*} \left(_{\kappa}\Upsilon_{\vartheta, \theta,l, \omega, \varsigma_{1}^{+}}^{ \rho,r,q,c}1\right)(u;p)=(\kappa(u)-\kappa(\varsigma_{1}))^{\theta}E_{\vartheta, \theta+1, l}^{\rho,r,q,c} (\omega(\kappa(u)-\kappa(\varsigma_{1}))^{\vartheta};p) \end{equation*} and similarly, from generalized fractional integral operator (10), we get \begin{equation*} \left(_{\kappa}\Upsilon_{\vartheta, \theta,l, \omega, \varsigma_{2}^{-}}^{ \rho,r,q,c}1\right)(u;p)=(\kappa(\varsigma_{2})-\kappa(u))^{\theta}E_{\vartheta, \theta+1, l}^{\rho,r,q,c} (\omega(\kappa(\varsigma_{2})-\kappa(u))^{\vartheta};p). \end{equation*} We will use the following notations in the article:
\begin{equation}\label{1*} _{\kappa}\zeta_{\omega, \varsigma_{1}^{+}}^{\theta}(u;p)=\left(_{\kappa}\Upsilon_{\vartheta, \theta,l, \omega, \varsigma_{1}^{+}}^{ \rho,r,q,c}1\right)(u;p), \end{equation}
(11)
\begin{equation}\label{7*} _{\kappa}\zeta_{\omega, \varsigma_{2}^{-}}^{ \theta}(u;p)=\left(_{\kappa}\Upsilon_{\vartheta, \theta,l, \omega, \varsigma_{2}^{-}}^{ \rho,r,q,c}1\right)(u;p). \end{equation}
(12)
In [27], Mehmood et al., proved the following Hadamard and Fejér-Hadamard inequalities for exponentially \(m\)-convex functions via generalized fractional integral operators (5) and (6).

Theorem 1. Let \(\eta: [\varsigma_{1},m\varsigma_{2}]\subset \mathbb{R}\to\mathbb{R}\) be a function such that \(\eta\in L_{1}[\varsigma_{1},m\varsigma_{2}]\) with \(\varsigma_{1}< m\varsigma_{2}\). If \(\eta\) is exponentially \(m\)-convex function, then the following inequalities hold: \begin{align*} &e^{\eta\left( \frac{\varsigma_{1}+m\varsigma_{2}}{2}\right)} \zeta_{\theta,\bar{\omega},\varsigma_{1}^{+}}(m\varsigma_{2};p)\nonumber \leq\frac{\left(\Upsilon_{\vartheta,\theta,l,\bar{\omega},\varsigma_{1}^{+}}^{\rho,r,q,c}e^\eta\right)(m\varsigma_{2};p)+ m^{\theta+1}\left(\Upsilon_{\vartheta,\theta,l,\bar{\omega}m^\vartheta,\varsigma_{2}^{-}}^{\rho,r,q,c}e^\eta\right)\left(\frac{\varsigma_{1}}{m};p \right)}{2}\\\nonumber &\leq\frac{m^{\theta+1}}{2(m\varsigma_{2}-\varsigma_{1})}\left[\left(e^{\eta(\varsigma_{1})}-m^2e^{\eta(\frac{\varsigma_{1}}{m^2})}\right)\zeta_{\theta+1,\bar{\omega}m^\vartheta,\varsigma_{2}^{-}}\left(\frac{\varsigma_{1}}{m};p \right)\right.\left.+(m\varsigma_{2}-\varsigma_{1})\left(e^{\eta(\varsigma_{2})}+me^{\eta(\frac{\varsigma_{1}}{m^2})}\right)\zeta_{\theta,\bar{\omega}m^\vartheta,\varsigma_{2}^{-}}\left(\frac{\varsigma_{1}}{m};p \right)\right]\nonumber, \end{align*} where \(\bar{\omega}=\frac{\omega}{(m\varsigma_{2}-\varsigma_{1})^{\vartheta}}\).

Theorem 2. Let \(\eta: [\varsigma_{1},m\varsigma_{2}]\subset \mathbb{R}\to\mathbb{R}\) be a function such that \(\eta\in L_{1}[\varsigma_{1},m\varsigma_{2}]\) with \(\varsigma_{1}< m\varsigma_{2}\). If \(\eta\) is exponentially \(m\)-convex function, then the following inequalities hold: \begin{align*} &e^{\eta\left( \frac{\varsigma_{1}+m\varsigma_{2}}{2}\right)}\zeta_{\theta,\bar{\omega}2^\vartheta,\left(\frac{\varsigma_{1}+m\varsigma_{2}}{2}\right) ^{+}}(m\varsigma_{2};p)\leq \frac{\left(\Upsilon^{\rho,r,q,c}_{\vartheta,\theta,l,\bar{\omega}2^\vartheta,\left( \frac{\varsigma_{1}+m\varsigma_{2}}{2}\right) ^{+}}e^\eta\right)(m\varsigma_{2};p)+m^{\theta+1} \left(\Upsilon^{\rho,r,q,c}_{\vartheta,\theta,l,\bar{\omega}(2m)^\vartheta,\left( \frac{\varsigma_{1}+m\varsigma_{2}}{2m}\right) ^{-}}e^\eta\right)\left(\frac{\varsigma_{1}}{m};p \right)}{2}\\\nonumber &\leq \frac{m^{\theta+1}}{2(m\varsigma_{2}-\varsigma_{1})}\left[\left(e^{\eta(\varsigma_{1})}-m^2e^{\eta(\frac{\varsigma_{1}}{m^2})}\right)\zeta_{\theta+1,\bar{\omega}(2m)^\vartheta,\left( \frac{\varsigma_{1}+m\varsigma_{2}}{2m}\right) ^{-}}\left(\frac{\varsigma_{1}}{m};p \right)\right.+(m\varsigma_{2}-\varsigma_{1})\left(e^{\eta(\varsigma_{2})}+me^{\eta(\frac{\varsigma_{1}}{m^2})}\right) \end{align*} \begin{align*} &\;\;\;\times\left.\zeta_{\theta,\bar{\omega}(2m)^\vartheta,\left( \frac{\varsigma_{1}+m\varsigma_{2}}{2m}\right) ^{-}}\left(\frac{\varsigma_{1}}{m};p \right)\right], \end{align*} where \(\bar{\omega}=\frac{\omega}{(m\varsigma_{2}-\varsigma_{1})^{\vartheta}}.\)

Theorem 3. Let \(\eta :[\varsigma_{1},m\varsigma_{2}]\subset\mathbb{R}\to\mathbb{R}\) be a function such that \(\eta\in L_{1}[\varsigma_{1},m\varsigma_{2}]\) with \( \varsigma_{1}< m\varsigma_{2}\). Also, let \(\kappa : [\varsigma_{1},m\varsigma_{2}]\to\mathbb{R}\) be a function which is non-negative and integrable. If \(\eta\) is exponentially \(m\)-convex function and \(\eta(v)=\eta(\varsigma_{1}+m\varsigma_{2}-mv)\), then the following inequalities hold: \begin{align*} &e^{\eta\left( \frac{\varsigma_{1}+m\varsigma_{2}}{2}\right)} \left(\Upsilon^{\rho,r,q,c}_{\vartheta,\theta,l,\bar{\omega}m^\vartheta,\varsigma_{2}^{-}}e^\kappa\right)\left( \frac{\varsigma_{1}}{m};p\right) \leq \frac{(1+m)\left(\Upsilon^{\rho,r,q,c}_{\vartheta,\theta,l,\bar{\omega}m^\vartheta,\varsigma_{2}^{-}}e^\eta e^\kappa\right)\left( \frac{\varsigma_{1}}{m};p\right)}{2}\\\nonumber &\leq \frac{m}{2(m\varsigma_{2}-\varsigma_{1})}\left[\left(e^{\eta(\varsigma_{1})}-m^2e^{\eta(\frac{\varsigma_{1}}{m^2})}\right)\left(\Upsilon^{\rho,r,q,c}_{\vartheta,\theta+1,l,\bar{\omega}m^\vartheta,\varsigma_{2}^{-}}e^\kappa\right)\left(\frac{\varsigma_{1}}{m};p \right)\right.+(m\varsigma_{2}-\varsigma_{1})\left(e^{\eta(\varsigma_{2})}+me^{\eta(\frac{\varsigma_{1}}{m^2})}\right)\\ &\;\;\;\left.\times\left(\Upsilon^{\rho,r,q,c}_{\vartheta,\theta,l,\bar{\omega}m^\vartheta,\varsigma_{2}^{-}}e^\kappa\right)\left(\frac{\varsigma_{1}}{m};p \right)\right], \end{align*} where \(\bar{\omega}=\frac{\omega}{(m\varsigma_{2}-\varsigma_{1})^{\vartheta}}\).

In this article, we establish the Hadamard and the Fejér-Hadamard inequalities for exponentially \(m\)-convex functions by the generalized fractional integral operators (9) and (10) containing Mittag-Leffler function via a monotone function. These inequalities lead to produce results for generalized fractional integral operators given in Remark 1. In Section 2, we prove the Hadamard inequalities for generalized fractional integral operators (9) and (10) via exponentially \(m\)-convex functions. In Section 3, we prove the Fejér-Hadamard inequalities for these generalized fractional integral operators via exponentially \(m\)-convex functions. In whole paper, we will consider real parameters of the Mittag-Leffler function.

2. Hadamard inequalities for exponentially \(m\)-convex functions

Here we will give two versions of the generalized fractional Hadamard inequality.

Theorem 4. Let \(\eta,\kappa: [\varsigma_{1},m\varsigma_{2}]\subset\mathbb{R}\to\mathbb{R}\), \(0< \varsigma_{1}< m\varsigma_{2}\) be the real valued-functions. If \(\eta\) be a integrable and exponentially \(m\)-convex and \(\kappa\) be a differentiable and strictly increasing. Then for integral operators (9) and (10), the following inequalities hold:

\begin{align}\label{yty} &\notag 2{e^{\eta\left( \frac{\kappa(\varsigma_{1})+m\kappa(\varsigma_{2})}{2}\right)}} _{\kappa}\zeta^{\theta}_{\bar{\omega},\varsigma_{1}^{+}}(\kappa^{-1}(m\kappa(\varsigma_{2}));p)\\\nonumber &\leq\left(_{\kappa}\Upsilon_{\vartheta,\theta,l,\bar{\omega},\varsigma_{1}^{+}}^{\rho,r,q,c}e^{\eta\circ\kappa}\right)(\kappa^{-1}(m\kappa(\varsigma_{2}));p)r+ m^{\theta+1}\left(_{\kappa}\Upsilon_{\vartheta,\theta,l,\bar{\omega}m^\vartheta,\varsigma_{2}^{-}}^{\rho,r,q,c}e^{\eta\circ\kappa}\right)\left(\kappa^{-1}\left(\frac{\kappa(\varsigma_{1})}{m}\right);p \right)\\\nonumber &\leq\frac{m^{\theta+1}}{(m\kappa(\varsigma_{2})-\kappa(\varsigma_{1}))}\left[\left(e^{\eta(\kappa(\varsigma_{1}))}-m^2e^{\eta\left(\frac{\kappa(\varsigma_{1})}{m^2}\right)}\right) _{\kappa}\zeta^{\theta+1}_{\bar{\omega}m^\vartheta,\varsigma_{2}^{-}}\left(\kappa^{-1}\left(\frac{\kappa(\varsigma_{1})}{m}\right);p \right)\right.\nonumber\\&\;\;\;\left.+\left(e^{\eta(\kappa(\varsigma_{2}))}+me^{\eta\left(\frac{\kappa(\varsigma_{1})}{m^2}\right)}\right)(m\kappa(\varsigma_{2})-\kappa(\varsigma_{1}))_{\kappa}\zeta^{\theta}_{\bar{\omega}m^\vartheta,\varsigma_{2}^{-}}\left(\kappa^{-1}\left(\frac{\kappa(\varsigma_{1})}{m}\right);p \right)\right] \end{align}
(13)
where \(\bar{\omega}=\frac{\omega}{(m\kappa(\varsigma_{2})-\kappa(\varsigma_{1}))^{\vartheta}}\).

Proof. Since \(\eta\) is exponentially \(m\)-convex function on \([\varsigma_{1},m\varsigma_{2}]\), for \(\tau\in[0,1]\), we have

\begin{equation}\label{b} 2{e^{\eta\left( \frac{\kappa(\varsigma_{1})+m\kappa(\varsigma_{2})}{2}\right)}}\leq {e^{{\eta(\tau\kappa(\varsigma_{1})+m(1-\tau)\kappa(\varsigma_{2}))}}}+m{e^{{\eta((1-\tau)\frac{\kappa(\varsigma_{1})}{m}+\tau\kappa(\varsigma_{2}))}}}. \end{equation}
(14)
Also, from exponentially \(m\)-convexity, we have
\begin{align}\label{c} e^{{\eta(\tau\kappa(\varsigma_{1})+m(1-\tau)\kappa(\varsigma_{2}))}}+me^{{\eta((1-\tau)\frac{\kappa(\varsigma_{1})}{m}+\tau\kappa(\varsigma_{2}))}}\leq \tau\left(e^{\eta(\kappa(\varsigma_{1}))}-m^2e^{\eta\left(\frac{\kappa(\varsigma_{1})}{m^2}\right)}\right)+m\left(e^{\eta(\kappa(\varsigma_{2}))} +me^{\eta\left(\frac{\kappa(\varsigma_{1})}{m^2}\right)}\right). \end{align}
(15)
Multiplying both sides of (14) with \(\tau^{\theta-1}E_{\vartheta,\theta,l}^{\rho,r,q,c}(\omega \tau^{\vartheta};p)\) and integrating over \([0,1]\), we have
\begin{align}\label{ad} &\notag 2{e^{\eta\left( \frac{\kappa(\varsigma_{1})+m\kappa(\varsigma_{2})}{2}\right)}}\int_{0}^{1}\tau^{\theta-1}E_{\vartheta,\theta,l}^{\rho,r,q,c}(\omega \tau^{\vartheta};p)d\tau \\ &\leq\int_{0}^{1}\tau^{\theta-1}E_{\vartheta,\theta,l}^{\rho,r,q,c}(\omega \tau^{\vartheta};p){e^{{\eta(\tau\kappa(\varsigma_{1})+m(1-\tau)\kappa(\varsigma_{2}))}}}d\tau &+m\int_{0}^{1}\tau^{\theta-1}E_{\vartheta,\theta,l}^{\rho,r,q,c}(\omega \tau^{\vartheta};p){e^{{\eta((1-\tau)\frac{\kappa(\varsigma_{1})}{m}+\tau\kappa(\varsigma_{2}))}}}d\tau. \end{align}
(16)
Putting \(\kappa(u)=\tau\kappa(\varsigma_{1})+m(1-\tau)\kappa(\varsigma_{2})\) and \(\kappa(v)=(1-\tau)\frac{\kappa(\varsigma_{1})}{m}+\tau\kappa(\varsigma_{2})\) in (16), we get \begin{align*} &2{e^{\eta\left( \frac{\kappa(\varsigma_{1})+m\kappa(\varsigma_{2})}{2}\right)}}\int_{\varsigma_{1}}^{\kappa^{-1}(m\kappa(\varsigma_{2}))}(m\kappa(\varsigma_{2})-\kappa(u))^{\theta-1} E_{\vartheta,\theta,l}^{\rho,r,q, c}(\bar{\omega} (m\kappa(\varsigma_{2})-\kappa(u))^{\vartheta}; p)d(\kappa(u))\\& \leq \int_{\varsigma_{1}}^{\kappa^{-1}(m\kappa(\varsigma_{2}))}(m\kappa(\varsigma_{2})-\kappa(u))^{\theta-1}E_{\vartheta,\theta,l}^{\rho,r,q, c}(\bar{\omega} (m\kappa(\varsigma_{2})-\kappa(u))^{\vartheta}; p){e^{\eta(\kappa(u))}}d(\kappa(u))\nonumber \\& \;\;\; +m^{\theta+1}\int_{\kappa^{-1}\left(\frac{\kappa(\varsigma_{1})}{m}\right)}^{\varsigma_{2}}\left(\kappa(v)-\frac{\kappa(\varsigma_{1})}{m}\right)^{\theta-1}E_{\vartheta,\theta,l}^{\rho,r,q, c}\left(m^{\vartheta}\bar{\omega}\left(\kappa(v)-\frac{\kappa(\varsigma_{1})}{m}\right)^{\vartheta};p\right){e^{\eta(\kappa(v))}}d(\kappa(v))\nonumber. \end{align*} By using (9), (10) and (11), the first inequality of (13) is obtained. Now multiplying both sides of (15) with \(\tau^{\theta-1}E_{\vartheta,\theta,l}^{\rho,r,q,c}(\omega \tau^{\vartheta};p)\) and integrating over \([0,1]\), we have
\begin{align}\label{ab} &\notag \int_{0}^{1}\tau^{\theta-1}E_{\vartheta,\theta,l}^{\rho,r,q,c}(\omega \tau^{\vartheta};p)e^{{\eta(\tau\kappa(\varsigma_{1})+m(1-\tau)\kappa(\varsigma_{2}))}}d\tau+m\int_{0}^{1}\tau^{\theta-1}E_{\vartheta,\theta,l}^{\rho,r,q,c}(\omega \tau^{\vartheta};p)e^{{\eta((1-\tau)\frac{\kappa(\varsigma_{1})}{m}+\tau\kappa(\varsigma_{2}))}}d\tau\\&\leq \left(e^{\eta(\kappa(\varsigma_{1}))}-m^2e^{\eta\left(\frac{\kappa(\varsigma_{1})}{m^2}\right)}\right)\int_{0}^{1}\tau^{\theta}E_{\vartheta,\theta,l}^{\rho,r,q,c}(\omega \tau^{\vartheta};p)d\tau +m\left(e^{\eta(\kappa(\varsigma_{2}))}+me^{\eta\left(\frac{\kappa(\varsigma_{1})}{m^2}\right)}\right) \int_{0}^{1}\tau^{\theta-1}E_{\vartheta,\theta,l}^{\rho,r,q,c}(\omega \tau^{\vartheta};p)d\tau. \end{align}
(17)
Putting \(\kappa(u)=\tau\kappa(\varsigma_{1})+m(1-\tau)\kappa(\varsigma_{2})\) and \(\kappa(v)=(1-\tau)\frac{\kappa(\varsigma_{1})}{m}+\tau\kappa(\varsigma_{2})\) in (17), then by using (9), (10) and (12), the second inequality of (13) is obtained.

Corollary 1. Under the assumptions of Theorem 4 if we take \(m=1\), then we get following inequalities for exponentially convex function:

\begin{align}\label{yty*} 2{e^{\eta\left( \frac{\kappa(\varsigma_{1})+\kappa(\varsigma_{2})}{2}\right)}} _{\kappa}\zeta^{\theta}_{\bar{\omega},\varsigma_{1}^{+}}(\varsigma_{2};p)&\leq\left(_{\kappa}\Upsilon_{\vartheta,\theta,l,\bar{\omega},\varsigma_{1}^{+}}^{\rho,r,q,c}e^{\eta\circ\kappa}\right)(\varsigma_{2};p)+ \left(_{\kappa}\Upsilon_{\vartheta,\theta,l,\bar{\omega},\varsigma_{2}^{-}}^{\rho,r,q,c}e^{\eta\circ\kappa}\right)\left(\varsigma_{1};p \right)\notag\\ &\leq\left(e^{\eta(\kappa(\varsigma_{2}))}+e^{\eta\left({\kappa(\varsigma_{1})}\right)}\right)_{\kappa}\zeta^{\theta}_{\bar{\omega},\varsigma_{2}^{-}}\left(\varsigma_{1};p \right) \end{align}
(18)
where \(\bar{\omega}=\frac{\omega}{(\kappa(\varsigma_{2})-\kappa(\varsigma_{1}))^{\vartheta}}\).

Remark 2.

  1. If we take \(\kappa(u)=u\) in (13), then Theorem 1 is obtained.
  2. If we take \(\kappa(u)=u\) and \(m=1\) in (13), then [15,Corollary 2.2] is obtained.
  3. If we take \(\kappa(u)=u\) in (18), then [15,Corollary 2.2] is obtained.

In the following we give another version of the Hadamard inequality for generalized fractional integral operators.

Theorem 5. Let \(\eta,\kappa: [\varsigma_{1},m\varsigma_{2}]\subset\mathbb{R}\to\mathbb{R}\), \(0< \varsigma_{1}< m\varsigma_{2}\) be the real-valued functions. If \(\eta\) be a integrable and exponentially \(m\)-convex and \(\kappa\) be a differentiable and strictly increasing. Then for integral operators (9) and (10), the following inequalities hold: \begin{align*} &\notag 2{e^{\eta\left( \frac{\kappa(\varsigma_{1})+m\kappa(\varsigma_{2})}{2}\right)}}_{\kappa}\zeta^{\theta}_{\bar{\omega}2^\vartheta,\left(\kappa^{-1}\left(\frac{\kappa(\varsigma_{1})+m\kappa(\varsigma_{2})}{2}\right)\right) ^{+}}(\kappa^{-1}(m\kappa(\varsigma_{2}));p)\leq \left(_{\kappa}\Upsilon^{\rho,r,q,c}_{\vartheta,\theta,l,\bar{\omega}2^\vartheta,\left(\kappa^{-1}\left(\frac{\kappa(\varsigma_{1})+m\kappa(\varsigma_{2})}{2}\right)\right) ^{+}}e^{\eta\circ\kappa}\right)(\kappa^{-1}(m\kappa(\varsigma_{2}));p)\\&\nonumber\;\;\;+m^{\theta+1} \left(_{\kappa}\Upsilon^{\rho,r,q,c}_{\vartheta,\theta,l,\bar{\omega}(2m)^\vartheta,\left(\kappa^{-1}\left(\frac{\kappa(\varsigma_{1})+m\kappa(\varsigma_{2})}{2m}\right)\right) ^{-}}e^{\eta\circ\kappa}\right)\left(\kappa^{-1}\left(\frac{\kappa(\varsigma_{1})}{m}\right);p \right) \end{align*}

\begin{align}\label{lmo} \nonumber &\leq\! \frac{m^{\theta+1}}{(m\kappa(\varsigma_{2})-\kappa(\varsigma_{1}))}\left[\!\left(e^{\eta(\kappa(\varsigma_{1}))}\!-m^2e^{\eta\left(\frac{\kappa(\varsigma_{1})}{m^2}\!\right)}\right)_{\kappa}\!\!\!\!\zeta^{\theta+1}_{\bar{\omega}(2m)^\vartheta,\left(\kappa^{-1}\!\left(\!\frac{\kappa(\varsigma_{1})+m\kappa(\varsigma_{2})}{2m}\right)\right)^{-}}\!\!\left(\!\kappa^{-1}\left(\!\frac{\kappa(\varsigma_{1})}{m}\!\right);p\! \right)\right.\\&\;\;\;\left.+\!\left(\!e^{\eta(\kappa(\varsigma_{2}))}+me^{\eta\left(\frac{\kappa(\varsigma_{1})}{m^2}\!\right)}\right)\!\!(m\kappa(\varsigma_{2})\!-\!\kappa(\varsigma_{1}))_{\kappa}\zeta^{\theta}_{\bar{\omega}(2m)^\vartheta,\left(\kappa^{-1}\left(\frac{\kappa(\varsigma_{1})+m\kappa(\varsigma_{2})}{2m}\right)\right)^{-}}\left(\!\kappa^{-1}\!\left(\!\frac{\kappa(\varsigma_{1})}{m}\!\right);p \!\!\right)\right], \end{align}
(19)
where \(\bar{\omega}=\frac{\omega}{(m\kappa(\varsigma_{2})-\kappa(\varsigma_{1}))^{\vartheta}}\).

Proof. Since \(\eta\) is exponentially \(m\)-convex function on \([\varsigma_{1},m\varsigma_{2}]\), for \(\tau\in[0,1]\), we have

\begin{align}\label{d} 2{e^{\eta\left( \frac{\kappa(\varsigma_{1})+m\kappa(\varsigma_{2})}{2}\right)}} \leq {e^{\eta\left( \frac{\tau}{2}\kappa(\varsigma_{1})+m\frac{(2-\tau)}{2}\kappa(\varsigma_{2})\right)}}+m {e^{\eta\left(\frac{\tau}{2}\kappa(\varsigma_{2})+\frac{(2-\tau)}{2}\frac{\kappa(\varsigma_{1})}{m}\right)}}. \end{align}
(20)
Also, from exponentially \(m\)-convexity, we have
\begin{align}\label{e} e^{\eta\left( \frac{\tau}{2}\kappa(\varsigma_{1})+m\frac{(2-\tau)}{2}\kappa(\varsigma_{2})\right)} +me^{\eta\left(\frac{\tau}{2}\kappa(\varsigma_{2})+\frac{(2-\tau)}{2}\frac{\kappa(\varsigma_{1})}{m}\right)} \leq \frac{\tau}{2}\left(e^{\eta(\kappa(\varsigma_{1}))}-m^2e^{\eta\left(\frac{\kappa(\varsigma_{1})}{m^2}\right)}\right) +m\left(e^{\eta(\kappa(\varsigma_{2}))}+me^{\eta\left(\frac{\kappa(\varsigma_{1})}{m^2}\right)}\right). \end{align}
(21)
Multiplying both sides of (20) with \(\tau^{\theta-1}E_{\vartheta,\theta,l}^{\rho,r,q,c}(\omega \tau^{\vartheta};p)\) and integrating over \([0,1]\), we have
\begin{align}\label{w} &\notag 2{e^{\eta\left( \frac{\kappa(\varsigma_{1})+m\kappa(\varsigma_{2})}{2}\right)}}\int_{0}^{1}\tau^{\theta-1}E_{\vartheta,\theta,l}^{\rho,r,q,c}(\omega \tau^{\vartheta};p)d\tau \\&\leq \int_{0}^{1}\tau^{\theta-1}E_{\vartheta,\theta,l}^{\rho,r,q,c}(\omega \tau^{\vartheta};p){e^{\eta\left( \frac{\tau}{2}\kappa(\varsigma_{1})+m\frac{(2-\tau)}{2}\kappa(\varsigma_{2})\right)}}d\tau+m\int_{0}^{1}\tau^{\theta-1}E_{\vartheta,\theta,l}^{\rho,r,q,c}(\omega \tau^{\vartheta};p) {e^{\eta\left(\frac{\tau}{2}\kappa(\varsigma_{2})+\frac{(2-\tau)}{2}\frac{\kappa(\varsigma_{1})}{m}\right)}}d\tau. \end{align}
(22)
Putting \(\kappa(u)=\frac{\tau}{2}\kappa(\varsigma_{1})+m\frac{(2-\tau)}{2}\kappa(\varsigma_{2})\) and \(\kappa(v)=\frac{\tau}{2}\kappa(\varsigma_{2})+\frac{(2-\tau)}{2}\frac{\kappa(\varsigma_{1})}{m}\) in (22), we get \begin{align*} &2{e^{\eta\left( \frac{\kappa(\varsigma_{1})+m\kappa(\varsigma_{2})}{2}\right)}}\!\!\int_{\kappa^{-1}\left(\frac{\kappa(\varsigma_{1})+m\kappa(\varsigma_{2})}{2}\right)}^{\kappa^{-1}(m\kappa(\varsigma_{2}))}\!\!(m\kappa(\varsigma_{2})-\kappa(u))^{\theta-1} E_{\vartheta,\theta,l}^{\rho,r,q, c}(2^\vartheta\bar{\omega} (m\kappa(\varsigma_{2})-\kappa(u))^{\vartheta}; p)d(\kappa(u))\\& \leq \int_{\kappa^{-1}\left(\frac{\kappa(\varsigma_{1})+m\kappa(\varsigma_{2})}{2}\right)}^{\kappa^{-1}(m\kappa(\varsigma_{2}))}(m\kappa(\varsigma_{2})-\kappa(u))^{\theta-1}E_{\vartheta,\theta,l}^{\rho,r,q, c}(2^\vartheta\bar{\omega} (m\kappa(\varsigma_{2})-\kappa(u))^{\vartheta}; p){e^{\eta(\kappa(u))}}d(\kappa(u))\nonumber \\&\;\;\; +m^{\theta+1}\!\!\int_{\kappa^{-1}\left(\frac{\kappa(\varsigma_{1})}{m}\right)}^{\kappa^{-1}\!\left(\frac{\kappa(\varsigma_{1})+m\kappa(\varsigma_{2})}{2m}\right)}\!\!\left(\kappa(v)-\frac{\kappa(\varsigma_{1})}{m}\right)^{\theta-1}\!\!\!\!E_{\vartheta,\theta,l}^{\rho,r,q, c}\!\!\left(\!(2m)^{\vartheta}\bar{\omega}(\kappa(v)-\frac{\kappa(\varsigma_{1})}{m})^{\vartheta};p\!\right)\!\!{e^{\eta(\kappa(v))}}d(\kappa(v))\nonumber. \end{align*} By using (9), (10) and (11), the first inequality of (19) is obtained.
Now multiplying both sides of (21) with \( \tau^{\theta-1}E_{\vartheta,\theta,l}^{\rho,r,q,c}(\omega \tau^{\vartheta};p)\) and integrating over \([0,1]\), we have
\begin{align}\label{x} &\notag \int_{0}^{1}\tau^{\theta-1}E_{\vartheta,\theta,l}^{\rho,r,q,c}(\omega \tau^{\vartheta};p)e^{\eta\left( \frac{\tau}{2}\kappa(\varsigma_{1})+m\frac{(2-\tau)}{2}\kappa(\varsigma_{2})\right)}d\tau+m\int_{0}^{1}\tau^{\theta-1}E_{\vartheta,\theta,l}^{\rho,r,q,c}(\omega \tau^{\vartheta};p)e^{\eta\left(\frac{\tau}{2}\kappa(\varsigma_{2})+\frac{(2-\tau)}{2}\frac{\kappa(\varsigma_{1})}{m}\right)}d\tau\\&\leq\frac{1}{2} \left(e^{\eta(\kappa(\varsigma_{1}))}-m^2e^{\eta\left(\frac{\kappa(\varsigma_{1})}{m^2}\right)}\right)\int_{0}^{1}\tau^{\theta}E_{\vartheta,\theta,l}^{\rho,r,q,c}(\omega \tau^{\vartheta};p)d\tau+m\left(e^{\eta(\kappa(\varsigma_{2}))}+me^{\eta\left(\frac{\kappa(\varsigma_{1})}{m^2}\right)}\right) \int_{0}^{1}\tau^{\theta-1}E_{\vartheta,\theta,l}^{\rho,r,q,c}(\omega \tau^{\vartheta};p)d\tau. \end{align}
(23)
Putting \(\kappa(u)=\frac{\tau}{2}\kappa(\varsigma_{1})+m\frac{(2-\tau)}{2}\kappa(\varsigma_{2})\) and \(\kappa(v)=\frac{\tau}{2}\kappa(\varsigma_{2})+\frac{(2-\tau)}{2}\frac{\kappa(\varsigma_{1})}{m}\) in (\ref{x}), then by using (9), (10) and (12), the second inequality of (19) is obtained.

Corollary 2. Under the assumptions of Theorem \ref{gh} if we take \(m=1\), then we get following inequalities for exponentially convex function: \begin{align*} &\nonumber 2{e^{\eta\left( \frac{\kappa(\varsigma_{1})+\kappa(\varsigma_{2})}{2}\right)}}_{\kappa}\zeta^{\theta}_{\bar{\omega}2^\vartheta,\left(\kappa^{-1}\left(\frac{\kappa(\varsigma_{1})+\kappa(\varsigma_{2})}{2}\right)\right) ^{+}}(\varsigma_{2};p)\leq\!\! \left(\!\!_{\kappa}\Upsilon^{\rho,r,q,c}_{\vartheta,\theta,l,\bar{\omega}2^\vartheta,\left(\kappa^{-1}\left(\frac{\kappa(\varsigma_{1})+\kappa(\varsigma_{2})}{2}\right)\right) ^{+}}e^{\eta\circ\kappa}\!\right)\!\!(\varsigma_{2};p)\!\end{align*}

\begin{align}\label{lmo*} &\;\;\;+\!\! \left(\!\!_{\kappa}\Upsilon^{\rho,r,q,c}_{\vartheta,\theta,l,\bar{\omega}2^\vartheta,\left(\kappa^{-1}\left(\frac{\kappa(\varsigma_{1})+\kappa(\varsigma_{2})}{2}\right)\!\right) ^{-}}e^{\eta\circ\kappa}\right)\!\!(\varsigma_{1};p)\leq \left(e^{\eta(\kappa(\varsigma_{2}))}+e^{\eta\left({\kappa(\varsigma_{1})}\right)}\right)_{\kappa}\zeta^{\theta}_{\bar{\omega}2^\vartheta,\left(\kappa^{-1}\left(\frac{\kappa(\varsigma_{1})+\kappa(\varsigma_{2})}{2}\right)\right)^{-}}\left(\varsigma_{1};p \right), \end{align}
(24)
where \(\bar{\omega}=\frac{\omega}{(\kappa(\varsigma_{2})-\kappa(\varsigma_{1}))^{\vartheta}}\).

Remark 3.

  1. If we take \(\kappa(u)=u\) in (19), then Theorem 2 is obtained.
  2. If we take \(\kappa(u)=u\) and \(m=1\) in (19), then [15,Corollary 2.2] is obtained.
  3. If we take \(\kappa(u)=u\) in (24), then [15,Corollary 2.2] is obtained.

3. Fejér-Hadamard Inequalities for exponentially \(m\)-convex functions

Here we give two versions of the Fejér-Hadamard inequality.

Theorem 6. Let \(\eta,\kappa :[\varsigma_{1},m\varsigma_{2}]\subset\mathbb{R}\to\mathbb{R}\), \(0< \varsigma_{1}< m\varsigma_{2}\) be the real-valued functions. If \(\eta\) be a integrable, exponentially \(m\)-convex and \(\eta(\kappa(v))=\eta(\kappa(\varsigma_{1})+m\kappa(\varsigma_{2})-m\kappa(v))\) and \(\kappa\) be a differentiable and strictly increasing. Also, let \(\gamma : [\varsigma_{1},m\varsigma_{2}]\to\mathbb{R}\) be a function which is non-negative and integrable. Then for integral operators (9) and (10), the following inequalities hold:

\begin{align}\label{yy} &\notag 2{e^{\eta\left( \frac{\kappa(\varsigma_{1})+m\kappa(\varsigma_{2})}{2}\right)}} \left(_{\kappa}\Upsilon^{\rho,r,q,c}_{\vartheta,\theta,l,\bar{\omega}m^\vartheta,\varsigma_{2}^{-}}e^{\gamma\circ\kappa}\right)\left(\kappa^{-1}\left(\frac{\kappa(\varsigma_{1})}{m}\right);p\right) \\&\nonumber\leq {(1+m)\left(_{\kappa}\Upsilon^{\rho,r,q,c}_{\vartheta,\theta,l,\bar{\omega}m^\vartheta,\varsigma_{2}^{-}}e^{\eta\circ\kappa}e^{\gamma\circ\kappa}\right)\left(\kappa^{-1}\left(\frac{\kappa(\varsigma_{1})}{m}\right);p\right)}\\\nonumber &\leq \frac{m}{(m\kappa(\varsigma_{2})-\kappa(\varsigma_{1}))}\left[\left(e^{\eta(\kappa(\varsigma_{1}))}-m^2e^{\eta\left(\frac{\kappa(\varsigma_{1})}{m^2}\right)}\right)\left(_{\kappa}\Upsilon^{\rho,r,q,c}_{\vartheta,\theta+1,l,\bar{\omega}m^\vartheta,\varsigma_{2}^{-}}e^{\gamma\circ\kappa}\right)\left(\kappa^{-1}\left(\frac{\kappa(\varsigma_{1})}{m}\right);p\right)\right.\\ &\left.\;\;\;+\left(e^{\eta(\kappa(\varsigma_{2}))}+me^{\eta\left(\frac{\kappa(\varsigma_{1})}{m^2}\right)}\right)(m\kappa(\varsigma_{2}) -\kappa(\varsigma_{1}))\left(_{\kappa}\Upsilon^{\rho,r,q,c}_{\vartheta,\theta,l,\bar{\omega}m^\vartheta,\varsigma_{2}^{-}}e^{\gamma\circ\kappa}\right) \left(\kappa^{-1}\left(\frac{\kappa(\varsigma_{1})}{m}\right);p\right)\right], \end{align}
(25)
where \(\bar{\omega}=\frac{\omega}{(m\kappa(\varsigma_{2})-\kappa(\varsigma_{1}))^{\vartheta}}\).

Proof. Multiplying both sides of (14) with \(\tau^{\theta-1}E_{\vartheta,\theta,l}^{\rho,r,q,c}(\omega \tau^{\vartheta};p)e^{\gamma( (1-\tau)\frac{\kappa(\varsigma_{1})}{m}+\tau\kappa(\varsigma_{2}))}\) and integrating over \([0,1]\), we have

\begin{align}\label{z} &\notag 2{e^{\eta\left( \frac{\kappa(\varsigma_{1})+m\kappa(\varsigma_{2})}{2}\right)}}\int_{0}^{1}\tau^{\theta-1}E_{\vartheta,\theta,l}^{\rho,r,q,c}(\omega \tau^{\vartheta};p)e^{\gamma( (1-\tau)\frac{\kappa(\varsigma_{1})}{m}+\tau\kappa(\varsigma_{2}))} d\tau\\\nonumber & \leq \int_{0}^{1}\tau^{\theta-1}E_{\vartheta,\theta,l}^{\rho,r,q,c}(\omega \tau^{\vartheta};p){e^{{\eta(\tau\kappa(\varsigma_{1})+m(1-\tau)\kappa(\varsigma_{2}))}}}e^{\gamma( (1-\tau)\frac{\kappa(\varsigma_{1})}{m}+\tau\kappa(\varsigma_{2}))} d\tau\\ &\;\;\;+m\int_{0}^{1}\tau^{\theta-1}E_{\vartheta,\theta,l}^{\rho,r,q,c}(\omega \tau^{\vartheta};p){e^{{\eta((1-\tau)\frac{\kappa(\varsigma_{1})}{m}+\tau\kappa(\varsigma_{2}))}}}e^{\gamma( (1-\tau)\frac{\kappa(\varsigma_{1})}{m}+\tau\kappa(\varsigma_{2}))}d\tau. \end{align}
(26)
Putting \(\kappa(v)=(1-\tau)\frac{\kappa(\varsigma_{1})}{m}+\tau\kappa(\varsigma_{2})\) in (26), we get \begin{align*} &2{e^{\eta\left( \frac{\kappa(\varsigma_{1})+m\kappa(\varsigma_{2})}{2}\right)}}\!\!\!\int_{\kappa^{-1}\left(\frac{\kappa(\varsigma_{1})}{m}\right)}^{\varsigma_{2}}\!\!\left(\kappa(v)-\frac{\kappa(\varsigma_{1})}{m}\right)^{\theta-1} \!\!\!\!E_{\vartheta,\theta,l}^{\rho,r,q, c}\left(\!\!m^{\vartheta}\bar{\omega}(\kappa(v)-\frac{\kappa(\varsigma_{1})}{m})^{\vartheta};p\right)\!\!{e^{\gamma(\kappa(v))}}d(\kappa(v))\\&\leq\!\!\!\int_{\kappa^{-1}\!\left(\!\frac{\kappa(\varsigma_{1})}{m}\!\right)}^{\varsigma_{2}}\!\!\!\!\left(\kappa(v)\!-\!\frac{\kappa(\varsigma_{1})}{m}\!\right)^{\theta-1}\!\!\!\!\!E_{\vartheta,\theta,l}^{\rho,r,q, c}\!\!\left(\!\!m^{\vartheta}\bar{\omega}(\kappa(v)\!-\!\!\frac{\kappa(\varsigma_{1})}{m})^{\vartheta};p\!\!\right)\!\! {{e^{\eta(\kappa(\varsigma_{1})+m\kappa(\varsigma_{2})-m\kappa(v))}}}{\!e^{\gamma(\kappa(v))}}\!d(\kappa(v))\\&\nonumber\;\;\;+m\int_{\kappa^{-1}\left(\frac{\kappa(\varsigma_{1})}{m}\right)}^{\varsigma_{2}}\left(\kappa(v)-\frac{\kappa(\varsigma_{1})}{m}\right)^{\theta-1} E_{\vartheta,\theta,l}^{\rho,r,q, c}\left(m^{\vartheta}\bar{\omega}(\kappa(v)-\frac{\kappa(\varsigma_{1})}{m})^{\vartheta};p\right){e^{\eta(\kappa(v))}}{e^{\gamma(\kappa(v))}}d(\kappa(v)). \end{align*} By using (10) and given condition \(\eta(\kappa(v))=\eta(\kappa(\varsigma_{1})+m\kappa(\varsigma_{2})-m\kappa(v))\), the first inequality of (25) is obtained. Now multiplying both sides of (15) with \(\tau^{\theta-1}E_{\vartheta,\theta,l}^{\rho,r,q,c}(\omega \tau^{\vartheta};p)e^{\gamma( (1-\tau)\frac{\kappa(\varsigma_{1})}{m}+\tau\kappa(\varsigma_{2}))}\) and integrating over \([0,1]\), we have \begin{align*} &\int_{0}^{1}\tau^{\theta-1}E_{\vartheta,\theta,l}^{\rho,r,q,c}(\omega \tau^{\vartheta};p)e^{{\eta(\tau\kappa(\varsigma_{1})+m(1-\tau)\kappa(\varsigma_{2}))}}e^{\gamma( (1-\tau)\frac{\kappa(\varsigma_{1})}{m}+\tau\kappa(\varsigma_{2}))} d\tau\\ \nonumber&\;\;\;+m\int_{0}^{1}\tau^{\theta-1}E_{\vartheta,\theta,l}^{\rho,r,q,c}(\omega \tau^{\vartheta};p)e^{{\eta((1-\tau)\frac{\kappa(\varsigma_{1})}{m}+\tau\kappa(\varsigma_{2}))}}e^{\gamma( (1-\tau)\frac{\kappa(\varsigma_{1})}{m}+\tau\kappa(\varsigma_{2}))}d\tau.\\&\leq \left(e^{\eta(\kappa(\varsigma_{1}))}-m^2e^{\eta\left(\frac{\kappa(\varsigma_{1})}{m^2}\right)}\right)\int_{0}^{1}\tau^{\theta}E_{\vartheta,\theta,l}^{\rho,r,q,c}(\omega \tau^{\vartheta};p)e^{\gamma( (1-\tau)\frac{\kappa(\varsigma_{1})}{m}+\tau\kappa(\varsigma_{2}))}d\tau\\\nonumber &\;\;\;+m\left(e^{\eta(\kappa(\varsigma_{2}))}+me^{\eta\left(\frac{\kappa(\varsigma_{1})}{m^2}\right)}\right) \int_{0}^{1}\tau^{\theta-1}E_{\vartheta,\theta,l}^{\rho,r,q,c}(\omega \tau^{\vartheta};p)e^{\gamma( (1-\tau)\frac{\kappa(\varsigma_{1})}{m}+\tau\kappa(\varsigma_{2}))}d\tau. \end{align*} From above the second inequality of (25) is achieved.

Corollary 3. Under the assumptions of Theorem 6 if we take \(m=1\), then we get following inequalities for exponentially convex function:

\begin{align}\label{yy**} 2{e^{\eta\left( \frac{\kappa(\varsigma_{1})+\kappa(\varsigma_{2})}{2}\right)}} \left(_{\kappa}\Upsilon^{\rho,r,q,c}_{\vartheta,\theta,l,\bar{\omega},\varsigma_{2}^{-}}e^{\gamma\circ\kappa}\right)\left(\varsigma_{1};p\right) &\leq {2\left(_{\kappa}\Upsilon^{\rho,r,q,c}_{\vartheta,\theta,l,\bar{\omega},\varsigma_{2}^{-}}e^{\eta\circ\kappa}e^{\gamma\circ\kappa}\right)\left(\varsigma_{1};p\right)}\nonumber\\ &\leq\! \left(\!e^{\eta(\kappa(\varsigma_{2}))}+e^{\eta\left({\kappa(\varsigma_{1})}\!\right)}\right)\! \left(\!_{\kappa}\Upsilon^{\rho,r,q,c}_{\vartheta,\theta,l,\bar{\omega},\varsigma_{2}^{-}}e^{\gamma\circ\kappa}\!\right)\!\left(\varsigma_{1};p\right), \end{align}
(27)
where \(\bar{\omega}=\frac{\omega}{(\kappa(\varsigma_{2})-\kappa(\varsigma_{1}))^{\vartheta}}\).

Remark 4.

  1. If we take \(\kappa(u)=u\) in (25), then Theorem 3 is obtained.
  2. If we take \(\kappa(u)=u\) and \(m=1\) in (25), then [15,Corollary 2.8] is obtained.
  3. If we take \(\kappa(u)=u\) in (27), then [15,Corollary 2.8] is obtained.

In the following we give another generalized fractional version of the Fejér-Hadamard inequality.

Theorem 7. Let \(\eta,\kappa :[\varsigma_{1},m\varsigma_{2}]\subset\mathbb{R}\to\mathbb{R}\), \(0< \varsigma_{1}< m\varsigma_{2}\) be the real-valued functions. If \(\eta\) be a integrable, exponentially \(m\)-convex and \(\eta(\kappa(v))=\eta(\kappa(\varsigma_{1})+m\kappa(\varsigma_{2})-m\kappa(v))\) and \(\kappa\) be a differentiable and strictly increasing. Also, let \(\gamma : [\varsigma_{1},m\varsigma_{2}]\to\mathbb{R}\) be a function which is non-negative and integrable. Then for integral operators (9) and (10), the following inequalities hold:

\begin{align}\label{yy*} &\notag 2{e^{\eta\left( \frac{\kappa(\varsigma_{1})+m\kappa(\varsigma_{2})}{2}\right)}} \left(_{\kappa}\Upsilon^{\rho,r,q,c}_{\vartheta,\theta,l,\bar{\omega}(2m)^\vartheta,\left(\kappa^{-1}\left(\frac{\kappa(\varsigma_{1})+m\kappa(\varsigma_{2})}{2m}\right)\right) ^{-}}e^{\gamma\circ\kappa}\right)\left(\kappa^{-1}\left(\frac{\kappa(\varsigma_{1})}{m}\right);p\right) \\&\nonumber\leq {(1+m)\left(_{\kappa}\Upsilon^{\rho,r,q,c}_{\vartheta,\theta,l,\bar{\omega}(2m)^\vartheta,\left(\kappa^{-1}\left(\frac{\kappa(\varsigma_{1})+m\kappa(\varsigma_{2})}{2m}\right)\right) ^{-}}e^{\eta\circ\kappa}e^{\gamma\circ\kappa}\right)\left(\kappa^{-1}\left(\frac{\kappa(\varsigma_{1})}{m}\right);p\right)}\\\nonumber &\leq \frac{m}{(m\kappa(\varsigma_{2})-\kappa(\varsigma_{1}))}\left[\left(e^{\eta(\kappa(\varsigma_{1}))}-m^2e^{\eta\left(\frac{\kappa(\varsigma_{1})}{m^2}\right)}\right)\right.\left. \left(_{\kappa}\Upsilon^{\rho,r,q,c}_{\vartheta,\theta,l,\bar{\omega}(2m)^\vartheta,\left(\kappa^{-1}\left(\frac{\kappa(\varsigma_{1})+m\kappa(\varsigma_{2})}{2m}\right)\right) ^{-}}e^{\gamma\circ\kappa}\right)\left(\kappa^{-1}\left(\frac{\kappa(\varsigma_{1})}{m}\right);p\right)\right.\\&\;\;\;\left.+\left(e^{\eta(\kappa(\varsigma_{2}))}+me^{\eta\left(\frac{\kappa(\varsigma_{1})}{m^2}\right)}\right)(m\kappa(\varsigma_{2})-\kappa(\varsigma_{1})) \right.\left.\left(_{\kappa}\Upsilon^{\rho,r,q,c}_{\vartheta,\theta,l,\bar{\omega}(2m)^\vartheta,\left(\kappa^{-1}\left(\frac{\kappa(\varsigma_{1})+m\kappa(\varsigma_{2})}{2m}\right)\right) ^{-}}e^{\gamma\circ\kappa}\right)\left(\kappa^{-1}\left(\frac{\kappa(\varsigma_{1})}{m}\right);p\right)\right], \end{align}
(28)
where \(\bar{\omega}=\frac{\omega}{(m\kappa(\varsigma_{2})-\kappa(\varsigma_{1}))^{\vartheta}}\).

Proof. Multiplying both sides of (20) with \(\tau^{\theta-1}E_{\vartheta,\theta,l}^{\rho,r,q,c}(\omega \tau^{\vartheta};p) {e^{\gamma\left(\frac{\tau}{2}\kappa(\varsigma_{2})+\frac{(2-\tau)}{2}\frac{\kappa(\varsigma_{1})}{m}\right)}}\) and integrating over \([0,1]\), we have \begin{align*} &\notag 2{e^{\eta\left( \frac{\kappa(\varsigma_{1})+m\kappa(\varsigma_{2})}{2}\right)}}\int_{0}^{1}\tau^{\theta-1}E_{\vartheta,\theta,l}^{\rho,r,q,c}(\omega \tau^{\vartheta};p) {e^{\gamma\left(\frac{\tau}{2}\kappa(\varsigma_{2})+\frac{(2-\tau)}{2}\frac{\kappa(\varsigma_{1})}{m}\right)}} d\tau\\\nonumber & \leq \int_{0}^{1}\tau^{\theta-1}E_{\vartheta,\theta,l}^{\rho,r,q,c}(\omega \tau^{\vartheta};p){e^{\eta\left( \frac{\tau}{2}\kappa(\varsigma_{1})+m\frac{(2-\tau)}{2}\kappa(\varsigma_{2})\right)}} {e^{\gamma\left(\frac{\tau}{2}\kappa(\varsigma_{2})+\frac{(2-\tau)}{2}\frac{\kappa(\varsigma_{1})}{m}\right)}} d\tau \end{align*}

\begin{align}\label{z*} &\;\;\;+m\int_{0}^{1}\tau^{\theta-1}E_{\vartheta,\theta,l}^{\rho,r,q,c}(\omega \tau^{\vartheta};p) {e^{\eta\left(\frac{\tau}{2}\kappa(\varsigma_{2})+\frac{(2-\tau)}{2}\frac{\kappa(\varsigma_{1})}{m}\right)}} {e^{\gamma\left(\frac{\tau}{2}\kappa(\varsigma_{2})+\frac{(2-\tau)}{2}\frac{\kappa(\varsigma_{1})}{m}\right)}}d\tau. \end{align}
(29)
Putting \(\kappa(v)=\frac{\tau}{2}\kappa(\varsigma_{2})+\frac{(2-\tau)}{2}\frac{\kappa(\varsigma_{1})}{m}\) in (29), we get \begin{align*} &2{e^{\eta\left( \frac{\kappa(\varsigma_{1})+m\kappa(\varsigma_{2})}{2}\right)}}\int_{\kappa^{-1}\left(\frac{\kappa(\varsigma_{1})}{m}\right)}^{\left(\kappa^{-1}\left(\frac{\kappa(\varsigma_{1})+m\kappa(\varsigma_{2})}{2m}\right)\right)}\left(\kappa(v)-\frac{\kappa(\varsigma_{1})}{m}\right)^{\theta-1} E_{\vartheta,\theta,l}^{\rho,r,q, c}\left((2m)^{\vartheta}\bar{\omega}(\kappa(v)-\frac{\kappa(\varsigma_{1})}{m})^{\vartheta};p\right){e^{\gamma(\kappa(v))}}d(\kappa(v))\\&\leq\int_{\kappa^{-1}\left(\frac{\kappa(\varsigma_{1})}{m}\right)}^{\left(\kappa^{-1}\left(\frac{\kappa(\varsigma_{1})+m\kappa(\varsigma_{2})}{2m}\right)\right)}\left(\kappa(v)-\frac{\kappa(\varsigma_{1})}{m}\right)^{\theta-1} E_{\vartheta,\theta,l}^{\rho,r,q, c}\left((2m)^{\vartheta}\bar{\omega}(\kappa(v)-\frac{\kappa(\varsigma_{1})}{m})^{\vartheta};p\right)\\&\;\;\;\times {{e^{\eta(\kappa(\varsigma_{1})+m\kappa(\varsigma_{2})-m\kappa(v))}}}{e^{\gamma(\kappa(v))}}d(\kappa(v))\!\!+\!m\!\!\int_{\kappa^{-1}\left(\frac{\kappa(\varsigma_{1})}{m}\right)}^{\left(\kappa^{-1}\left(\frac{\kappa(\varsigma_{1})+m\kappa(\varsigma_{2})}{2m}\right)\right)}\!\!\left(\kappa(v)-\frac{\kappa(\varsigma_{1})}{m}\right)^{\theta-1} \\&\;\;\;\times E_{\vartheta,\theta,l}^{\rho,r,q, c}\left((2m)^{\vartheta}\bar{\omega}(\kappa(v)-\frac{\kappa(\varsigma_{1})}{m})^{\vartheta};p\right){e^{\eta(\kappa(v))}}{e^{\gamma(\kappa(v))}}d(\kappa(v)). \end{align*} By using (10) and given condition \(\eta(\kappa(v))=\eta(\kappa(\varsigma_{1})+m\kappa(\varsigma_{2})-m\kappa(v))\), the first inequality of (28) is obtained. Now multiplying both sides of (21) with \(\tau^{\theta-1}E_{\vartheta,\theta,l}^{\rho,r,q,c}(\omega \tau^{\vartheta};p) {e^{\gamma\left(\frac{\tau}{2}\kappa(\varsigma_{2})+\frac{(2-\tau)}{2}\frac{\kappa(\varsigma_{1})}{m}\right)}}\) and integrating over \([0,1]\), we have \begin{align*} &\int_{0}^{1}\tau^{\theta-1}E_{\vartheta,\theta,l}^{\rho,r,q,c}(\omega \tau^{\vartheta};p)e^{\eta\left( \frac{\tau}{2}\kappa(\varsigma_{1})+m\frac{(2-\tau)}{2}\kappa(\varsigma_{2})\right)} {e^{\gamma\left(\frac{\tau}{2}\kappa(\varsigma_{2})+\frac{(2-\tau)}{2}\frac{\kappa(\varsigma_{1})}{m}\right)}} d\tau\\ \nonumber&\;\;\;+m\int_{0}^{1}\tau^{\theta-1}E_{\vartheta,\theta,l}^{\rho,r,q,c}(\omega \tau^{\vartheta};p)e^{\eta\left(\frac{\tau}{2}\kappa(\varsigma_{2})+\frac{(2-\tau)}{2}\frac{\kappa(\varsigma_{1})}{m}\right)} {e^{\gamma\left(\frac{\tau}{2}\kappa(\varsigma_{2})+\frac{(2-\tau)}{2}\frac{\kappa(\varsigma_{1})}{m}\right)}}d\tau.\\&\leq \left(e^{\eta(\kappa(\varsigma_{1}))}-m^2e^{\eta\left(\frac{\kappa(\varsigma_{1})}{m^2}\right)}\right)\int_{0}^{1}\tau^{\theta}E_{\vartheta,\theta,l}^{\rho,r,q,c}(\omega \tau^{\vartheta};p) {e^{\gamma\left(\frac{\tau}{2}\kappa(\varsigma_{2})+\frac{(2-\tau)}{2}\frac{\kappa(\varsigma_{1})}{m}\right)}}d\tau\\\nonumber &\;\;\;+m\left(e^{\eta(\kappa(\varsigma_{2}))}+me^{\eta\left(\frac{\kappa(\varsigma_{1})}{m^2}\right)}\right) \int_{0}^{1}\tau^{\theta-1}E_{\vartheta,\theta,l}^{\rho,r,q,c}(\omega \tau^{\vartheta};p) {e^{\gamma\left(\frac{\tau}{2}\kappa(\varsigma_{2})+\frac{(2-\tau)}{2}\frac{\kappa(\varsigma_{1})}{m}\right)}}d\tau. \end{align*} From above the second inequality of (28) is achieved.

Corollary 4. Under the assumptions of Theorem 7 if we take \(m=1\), then we get following inequalities for exponentially convex function:

\begin{align}\label{yy***} &2{e^{\eta\left( \frac{\kappa(\varsigma_{1})+\kappa(\varsigma_{2})}{2}\right)}} \left(_{\kappa}\Upsilon^{\rho,r,q,c}_{\vartheta,\theta,l,\bar{\omega}2^\vartheta,\left(\kappa^{-1}\left(\frac{\kappa(\varsigma_{1})+\kappa(\varsigma_{2})}{2}\right)\right) ^{-}}e^{\gamma\circ\kappa}\right)\left(\varsigma_{1};p\right)\leq {2\left(_{\kappa}\Upsilon^{\rho,r,q,c}_{\vartheta,\theta,l,\bar{\omega}2^\vartheta,\left(\kappa^{-1}\left(\frac{\kappa(\varsigma_{1})+\kappa(\varsigma_{2})}{2}\right)\right) ^{-}}e^{\eta\circ\kappa}e^{\gamma\circ\kappa}\right)\left(\varsigma_{1};p\right)}\nonumber\\ &\leq \left(e^{\eta(\kappa(\varsigma_{2}))}+e^{\eta\left({\kappa(\varsigma_{1})}\right)}\right) \left(_{\kappa}\Upsilon^{\rho,r,q,c}_{\vartheta,\theta,l,\bar{\omega}2^\vartheta,\left(\kappa^{-1}\left(\frac{\kappa(\varsigma_{1})+\kappa(\varsigma_{2})}{2}\right)\right) ^{-}}e^{\gamma\circ\kappa}\right)\left(\varsigma_{1};p\right), \end{align}
(30)
where \(\bar{\omega}=\frac{\omega}{(\kappa(\varsigma_{2})-\kappa(\varsigma_{1}))^{\vartheta}}\).

4. Concluding remarks

Here we have proved two generalized fractional versions of the Hadamard inequality as well as two generalized fractional versions of the Fejér-Hadamard inequality. For proving these fractional inequalities we have utilized exponentially \(m\)-convex functions and generalized integral operators containing Mittag-Leffler functions in their kernels. The presented results hold for exponentially convexity and well known fractional integral operators given in Remark 1. Reader can obtain desired fractional Hadamard and fractional Fejér-Hadamard inequalities from this paper.

Acknowledgments

The research work of the Ghulam Farid is supported by Higher Education Commission of Pakistan under NRPU 2016, Project No. 5421.

Autho Contributions

All authors contributed equally to the writing of this paper. All authors read and approved the final manuscript.

Conflict of Interests

The authors declare no conflict of interest.

References

  1. Fejér, L. (1906). Überdie Fourierreihen II. Math Naturwiss Anz Ungar Akad Wiss, 24, 369-390.
  2. Abbas, G., & Farid, G. (2017). Hadamard and Fejér--Hadamard type inequalities for harmonically convex functions via generalized fractional integrals. The Journal of Analysis, 25(1), 107-119.[Google Scholor]
  3. Awan, M. U., Noor, M. A., & Noor, K. I. (2018). Hermite-Hadamard inequalities for exponentially convex functions. Applied Mathematics & Information Sciences, 12(2), 405-409.[Google Scholor]
  4. Chen, F. (2014). On Hermite-Hadamard type inequalities for Riemann-Liouville fractional integrals via two kinds of convexity. Chinese Journal of Mathematics, Volume 2014, Article ID 248710, 8 pages.[Google Scholor]
  5. Chen, H., & Katugampola, U. N. (2017). Hermite--Hadamard and Hermite--Hadamard--Fejér type inequalities for generalized fractional integrals. Journal of Mathematical Analysis and Applications, 446(2), 1274-1291.[Google Scholor]
  6. Dragomir, S. S., & Gomm, I. (2015). Some Hermite-Hadamard type inequalities for functions whose exponentials are convex. Studia Universitatis Babeş-Bolyai Mathematica, 60(4), 527-534.[Google Scholor]
  7. Farid, G. (2016). Hadamard and Fejér-Hadamard inequalities for generalized fractional integrals involving special functions. Konuralp Journal of Mathematics, 4(1), 108-113.[Google Scholor]
  8. Farid, G. (2018). A treatment of the Hadamard inequality due to m-convexity via generalized fractional integrals. Journal of Fractional Calculus and Applications, 9(1), 8-14.[Google Scholor]
  9. Farid, G., & Abbas, G. (2018). Generalizations of some fractional integral inequalities for m-convex functions via generalized Mittag-Leffler function. Studia Universitatis Babeş-Bolyai Mathematica, 63(1), 23-35.[Google Scholor]
  10. Farid, G., Rehman, A. U., & Tariq, B. (2017). On Hadamard--type inequalities for m-convex functions via Riemann--Liouville fractional integrals. Studia Universitatis Babeş-Bolyai Mathematica, 62(2), 141-150.[Google Scholor]
  11. Farid, G., Rehman, A. U., & Mehmood, S. (2018). Hadamard and Fejer-Hadamard type integral inequalities for harmonically convex functions via an extended generalized Mittag-Leffler function. Journal of Mathematics and Computer Science, 8(5), 630-643.[Google Scholor]
  12. Farid, G., Khan, K. A., Latif, N., Rehman, A. U., & Mehmood, S. (2018). General fractional integral inequalities for convex and m-convex functions via an extended generalized Mittag-Leffler function. Journal of Inequalities and Applications, 2018(1), 1-12.[Google Scholor]
  13. İşcan, İ. (2015). Hermite Hadamard Fejér type inequalities for convex functions via fractional integrals. Studia Universitatis Babeş-Bolyai Mathematica, 60(3), 355-366.[Google Scholor]
  14. Kang, S. M., Farid, G., Nazeer, W., & Mehmood, S. (2019). \((h,m)\)-convex functions and associated fractional Hadamard and Fejér-Hadamard inequalities via an extended generalized Mittag-Leffler function. Journal of Inequalities and Applications, 2019, 78 pp.[Google Scholor]
  15. Kang, S. M., Farid, G., Nazeer, W., & Tariq, B. (2018). Hadamard and Fejér--Hadamard inequalities for extended generalized fractional integrals involving special functions. Journal of Inequalities and Applications, 2018(1), 119 pp.[Google Scholor]
  16. Mehreen, N., & Anwar, M. (2019). Hermite--Hadamard type inequalities for exponentially p-convex functions and exponentially s-convex functions in the second sense with applications. Journal of Inequalities and Applications, 2019(1), 92 pp.[Google Scholor]
  17. Sarikaya, M. Z., Set, E., Yaldiz, H., & Basak, N. (2013). Hermite--Hadamard's inequalities for fractional integrals and related fractional inequalities. Mathematical and Computer Modelling, 57(9-10), 2403-2407.[Google Scholor]
  18. Sarikaya, M. Z., & Yildirim, H. (2016). On Hermite-Hadamard type inequalities for Riemann-Liouville fractional integrals. Miskolc Mathematical Notes, 17(2), 1049-1059.[Google Scholor]
  19. Rashid, S., Noor, M. A., & Noor, K. I. (2019). Fractional exponentially m-convex functions and inequalities. International Journal of Analysis and Applications, 17(3), 464-478.[Google Scholor]
  20. Antczak, T. (2001). (p, r)-invex sets and functions. Journal of Mathematical Analysis and Applications, 263(2), 355-379.[Google Scholor]
  21. Andrić, M., Farid, G., & Pečarić, J. (2018). A further extension of Mittag-Leffler function. Fractional Calculus and Applied Analysis, 21(5), 1377-1395.[Google Scholor]
  22. Farid, G. (2020). A unified integral operator and further its consequences. Open Journal of Mathematical Analysis, 4(1) (2020), 1-7.[Google Scholor]
  23. Salim, T. O., & Faraj, A. W. (2012). A generalization of Mittag-Leffler function and integral operator associated with fractional calculus. Journal of Fractional Calculus and Applications, 3(5), 1-13.[Google Scholor]
  24. Rahman, G., Baleanu, D., Qurashi, M. A., Purohit, S. D., Mubeen, S., & Arshad, M. (2017). The extended Mittag-Leffler function via fractional calculus. Journal of Nonlinear Sciences and Applications, 10(8), 4244-4253.[Google Scholor]
  25. Srivastava, H. M., & Tomovski, Ž. (2009). Fractional calculus with an integral operator containing a generalized Mittag--Leffler function in the kernel. Applied Mathematics and Computation, 211(1), 198-210.[Google Scholor]
  26. Prabhakar, T. R. (1971). A singular integral equation with a generalized Mittag Leffler function in the kernel. Yokohama Mathematical Journal, 19, 7-15.[Google Scholor]
  27. Mehmood, S., & Farid, G. (2020). Fractional Hadamard and Fejér-Hadamard Inequalities for exponentially \(m\)-convex function. Studia Universitatis Babeş-Bolyai Mathematica, To Appear. [Google Scholor]