Abstract
The aim of this article is to obtain new Hermite–Hadamard–Mercer-type inequalities using Raina’s fractional integral operators. We present some distinct and novel fractional Hermite–Hadamard–Mercer-type inequalities for the functions whose absolute value of derivatives are convex. Our main findings are generalizations and extensions of some results that existed in the literature.
Keywords:
convex function; Hermite–Hadamard inequalities; Jensen–Mercer inequality; fractional integral operators MSC:
26A33; 26A51; 26D10; 26D15
1. Introduction
Convex functions have a very useful structure in terms of both definition and properties. This concept has an important role in the theory of inequality. This class of functions has many applications in the different branches of mathematics, and many important inequalities are obtained with the help of this class of functions. Hermite–Hadamard inequality, Jensen inequality, and Mercer inequality, which are well known in the literature, are some of them. Jensen inequality has been caught attention of many researchers, and many articles related to different versions of this inequality have been found in the literature. Jensen’s famous inequality can be given as follows:
Let and be non-negative weights such that . The famous Jensen inequality (see []) in the literature states that f is convex function on the interval ; then
where and all , .
A new variant of Jensen inequality that has been established by Mercer can be presented as follows:
Theorem 1.
([]) Let be a convex function on then
for each and with .
Recently, many studies have been performed on the Jensen–Mercer inequality, see ([,,,]). For more recent and related results connected with Jensen–Mercer inequality, see ([,,,,,,]).
Let us now recall another important inequality obtained by using convex functions. The Hermite–Hadamard inequality has been the focus of many researchers in the fields of inequality theory, numerical analysis, and applied mathematics for nearly a hundred years. A great number of generalizations, expansions, new variants, and improvements have been made regarding this inequality (see, e.g., []). The following inequality
holds for convex functions and known as Hermite–Hadamard inequality. If f is concave, both inequalities hold as a reverse direction.
Recently, a modern direction of research has been to investigate various likely ways to define fractional integrals and derivatives in fractional calculus. Fractional operators differ from each other with their kernel structures and further properties. Most of them have a general form of the previous operators. Motivated by this, several fractional operators are introduced that generalize ordinary integral operators.
Let us recall the fractional integral of Riemann–Liouville and its general form, which is called Raina’s fractional integral operator.
Definition 1.
Let The Riemann–Liouville integrals and of order with are defined by
and
respectively, where . Here is
In addition, Raina [] defined the following results related to the general class of fractional integral operators.
where the coefficients are a bounded sequence of positive real numbers and is the set of real numbers. With the help of (4), Raina [] and Agarwal et al. [] defined the following left-sided and right-sided fractional integral operators, respectively, as follows:
where , and is such that the integral on the right-hand side exits.
It is easy to verify that and are bounded integral operators on if
In fact, for , we have
and
where
Here, many useful fractional integral operators can be obtained by customizing the coefficient .
Remark 1.
If we choose , and in (5) and (6), we obtain the classical left- and right-RL fractional integrals (2) and (3), respectively.
To provide more information about fractional integral operators and applications to the theory of inequality, we recommend the following papers to interested readers ([,,,,,,]).
In this article, motivated by the Jensen–Mercer inequality and Raina’s fractional integral operator, we establish new Hermite–Hadamard–Mercer-type integral inequalities for convex functions.
2. Hermite–Hadamard–Mercer Inequalities via the Raina’s Fractional Integral Operator
In this section, we obtain some new Hermite–Hadamard–Mercer inequalities using the Jensen-Mercer inequality via Raina’s fractional integral operator.
Theorem 2.
Suppose that is a convex function. Then
and
for all , , and .
Proof.
Using the Jensen-Mercer inequality, we can write
for all . By changing of the variables and for and in (9), we obtain
Multiplying both sides of (10) by and then integrating the resulting inequality with respect to t over , we have
namely
and so the first inequality of (7) is proven. For the proof of the second inequality (7), we first note that if f is a convex function, then, for , it yields
Multiplying both sides of (12) by and then integrating the resulting inequality with respect to t over , we obtain
and so
Adding to both sides of (13), we find the second inequality of (7).
Now, we prove inequality (8). From the convexity of f, we have
for all . By changing the variables and for and in (14), we find that
Multiplying both sides of (15) by and then integrating the resulting inequality with respect to t over , we have
and so
The proof of the first inequality of (8) is completed. On the other hand, using the convexity of f, we can write
and
By adding these inequalities and using the Jensen–Mercer inequality, we have
Multiplying both sides of (16) by and then integrating the resulting inequality with respect to t over , we obtain the second and third inequalities of (8). □
Theorem 3.
Let be a convex function. Then
for all , and .
Proof.
To prove the first inequality of (17), by writing and for and in the inequality (14), we get
Then, multiplying both sides of (18) by and then integrating the resulting inequality with respect to t over , we have
and so
The first inequality of (17) is proven. For the proof of the second inequality of (17), by using Jensen–Mercer inequality, we obtain
and
By adding these inequalities, we have
Multiplying both sides of (19) by and then integrating the resulting inequality with respect to t over , we find the second inequality of (17). □
Lemma 1.
Let be a differentiable mapping on with . If , then the following equality for fractional integral holds:
for all , , and .
Proof.
It suffices to note that
where
and
By combining (22) and (23) with (21), we get (20). □
Lemma 2.
Let be a differentiable mapping on with . If , then
for all , , , and .
Proof.
Let
Note that
By substituting , we get, after some computations,
By proceeding with a similar process, we obtain
By using (25) and (26), it follows that
Thus, by multiplying on both sides of the above equality, we get (24). □
3. Generalized Hermite–Hadamard–Mercer-Type Inequalities via Raina’s Fractional Integral Operator
Theorem 4.
Let be a differentiable mapping on with . If is convex on , then the following inequality holds for fractional integral operators:
where
for all , and .
Proof.
By means of the Lemma 1 and the Jensen–Mercer inequality, we find that
By calculating and , we obtain
and
where
By adding and , we obtain the inequality (27). □
Theorem 5.
Let be a differentiable mapping on with . If is convex on , then the following inequality holds for fractional integral operators:
for all , , and .
Proof.
Using the Lemma 2 and Jensen–Mercer inequality, we find
□
Theorem 6.
Let be a differentiable mapping on with . If is convex on , , then the following inequality holds for fractional integral operators:
where
for all , , , and .
Proof.
From Lemma 2, using Hölder’s inequality, we have
Using the Jensen–Mercer inequality and taking into account the convexity of , we have
and so the proof is completed. □
4. Related Results
By using a similar arguments to the proof of the theorems that were obtained in the main results section, we will now use E instead of , by which we will obtain the following new estimates for Prabhakar fractional integral operator.
Before giving the new results, let us remember the Prabhakar operator.
The function is introduced by Prabhakar [] in the following form
where is Pochhammer symbol ([], Section 2.1.1)
This function is reduced to the Mittag–Leffler function for .
Prabhakar defined the following integral operator containing the function (30), in the kernel:
where , and with . It is possible to define right-sided fractional integral operator in a natural way analogous to (6) as the following:
Theorem 7.
Suppose that is a convex function. Then
and
for all , , and .
Proof.
The assertion follows from the definition of Prabhakar fractional integral operators in the proof of Theorem 2. □
Some similar results can be obtained for Theorem 3–6 Prabhakar fractional integral operators. We omit the details for the readers.
5. Conclusions
In this paper, we gave new Hermite–Hadamard–Mercer-type inequalities for convex functions. In order to prove these inequalities, we used the Raina’s fractional integral operators and Jensen-Mercer inequality. Our results are the generalizations of the Hermite–Hadamard–Mercer-type inequalities that ones given via Riemann–Liouville fractional integrals in [].
Author Contributions
Investigation, E.S.; Supervision, E.S. and M.E.Ö.; Writing—original draft, E.S., B.Ç. and M.E.Ö.; Writing—review and editing, B.Ç., M.E.Ö. and M.A. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
Not applicable.
Conflicts of Interest
The authors declare no conflict of interest.
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