1. Introduction
In recent times, fractional calculus has gained much attention due to fractional calculus having received a lot of attention recently as a result of its widespread use in contemporary sciences. Numerous real-world issues have been resolved using fractional theory, including estimating blood alcohol level [
1], modelling in continuum mechanics [
2], controlling hexapod robots [
3], determining non-local continua [
4], administrating drug dosages [
5], forming memory through membranes [
6], determining semilunar heat valve vibrations [
7], diffusing water in sand [
8], determining the growth rate and population of poisonous bacteria [
9], analyzing social and economic cycles [
10], and many others [
11,
12,
13].
Mathematical inequalities span many fields of science. Their importance has increased greatly due to their widespread use, especially in estimating the solutions of bounded value problems. Inequalities and convexity are very closely related. An important inequality that describes and reveals this convexity is known as the Hermite Hadamard (HH) inequality [
14], which is given as
Theorem 1. Let be a convex function, then the following inequality holds. The HH inequality is formulated for different interesting situations such as those in [
15,
16] for generalized fractional operators and those in [
17,
18,
19] via different convexities. The convexities in certain types of inequalities can also be seen in [
20,
21].
Fractional operators provide more generalized and advance results even where ordinary calculus fails by reducing many constraints. Their growing use has attracted many scientists towards this non-integer order calculus. Farid et al. [
22] applied RL fractional integrals to study the HH inequality with convexity for monotonic functions.
To generalize and extend the results, we apply the
-Riemann integral [
23] and find a special identity that helps us to obtain many mean-type inequalities already known from the literature. We also estimate the error of mean-type inequalities. The main results of our study are more advanced and generalized from the pre-existing literature. Moreover, the results of [
24,
25,
26] are connected with that from our work.
This paper is organize in the following way.
Section 2 states some important related preliminaries.
Section 3 consists of a generalized identity and the theorems based on this established identify generalize the estimates presented in [
22]. In
Section 4, some conclusions are presented.
2. Preliminaries
Here, we present some basic facts that are needed to understand the main results.
Definition 1. A function is a convex function if it satisfies the inequality;where and . The next definition describes the criteria for a certain function to be convex with respect to some other function with a strictly monotone property.
Definition 2 ([
27])
. The function ξ is convex with respect to strictly the monotone function ϱ if is a convex function. One can read many different aspects of the HH inequality and its generalizations in [
28,
29,
30]. A lot of interesting applications have encouraged mathematicians to investigate its different versions. The HH inequality for a function satisfying Definition 2 can be seen in the next theorem.
Theorem 2 ([
31])
. Suppose that , is a strictly monotone function and is convex with respect to ϱ. Then, The classical gamma function is extended in the next definition.
Definition 3 ([
32])
. The k-Gamma function symbolized as is defined as where and .
The k-Gamma function has a similar property to that of the classical gamma function i.e., .
The Riemann–Liouville fractional integrals (which we simply call RL-fractional integrals) are defined as follows:
Definition 4 ([
33])
. The left-sided and right-sided RL-fractional integrals of f having an order are described as The next definition presents one of the extended versions of the RL-fractional integral given in [
34].
Definition 5. The left- and right-sided (k,s)-RL-fractional integrals of a function f of the order are defined as follows: 3. Main Results
In this section, we present many mean-type inequalities obtained by applying the extended version of the RL-fractional integral “-RL-fractional integral” and certain classes of the convex functions.
The basic identity essential for our main results is obtained in the following lemma, which is further used in estimating the error of the HH inequality.
Lemma 1. Let the two real mappings ξ and ϱ be defined on with such that ϱ has the strictly monotone property. If is differentiable and , then the following equation holds: Proof. By evaluating the integral, we have
Similarly, integrating by parts, we obtain
Substituting (
2) and (
3) in (
1) gives the desired result. □
Lemma 1 helps us to derive the following error estimation of the HH inequality given in Theorem 2.
Theorem 3. Let the two real mappings ξ and ϱ be defined on with such that ϱ has the strictly monotone property. If is differentiable and , then the inequalityholds when is convex. Proof. By utilizing Lemma 1 with simple calculus, the above inequality can be described by
Since
is convex, using this fact on the right-hand side of (
5) will imply the following:
Thus, we can obtain our desired result after a few computations. □
In the next examples, we discuss the applications of Theorem 3 for some specific functions.
Example 1. By substituting in (4), we have the inequality Example 2. By substituting and in (4), we have the inequality Example 3. By substituting in (4), we obtain the following:where . Example 4. By substituting and in (4), we obtainwhere . Example 5. By substituting , in (4), we obtain the inequality Example 6. By substituting , and in (4), we obtain Example 7. By substituting in (4), we have the inequality Example 8. By substituting and in (4), we obtain Theorem 4. Let the two real mappings ξ and ϱ be defined on with such that ϱ has the strictly monotone property. If is differentiable and , then the inequalityholds whenever is convex for . Proof. If , then the above inequality can be obtained by using basic calculus in Lemma 1 and is convex.
Let
. The right-hand side of Lemma 1, along with the power mean inequality and basic calculus, then implies the following inequality:
Since
is convex,
This can also be written as
Using (
8)–(
10) in (
7) and some computations gives us our desired result. □
In the next examples, we discuss the applications of Theorem 4 for some specific functions.
Example 9. By substituting in (6), we obtain Example 10. By substituting in (6), we obtain Example 11. By substituting in (6), we obtain Example 12. By substituting in (6), we obtain Example 13. By substituting where in (6), we obtain The next theorem is proved with the help of the following lemma.
Lemma 2 ([
35])
. For and , we have Theorem 5. Let the two real mappings ξ and ϱ be defined on with such that ϱ has the strictly monotone property. If is differentiable and , then the inequalityholds whenever , where and , is convex. Proof. Using Hölder’s inequality and simple calculus on the right-hand side of Lemma 1 gives us
We apply Lemma 2 and obtain
Now, using the fact that
is convex, we obtain
Hence we obtain our desired result (
12) after making the computations above. □
In the next examples, we discuss the applications of Theorem 5 for some specific functions.
Example 14. By substituting in (12), we obtain Example 15. By substituting in (12), we obtain the inequalitywhere Example 16. By substituting where in (12), we obtain the following inequality Example 17. By substituting in (12), we obtain The error estimation of the inequality (2) can be studied with the help of the following identity.
Lemma 3. The equalityholds under the same assumptions as in Lemma 1. Proof. Integrating by parts, we obtain
The change in variable results in the following:
The identity (
14) is established by using (
15) and (
16). □
The following error estimate of the HH inequality is obtained with the help of Lemma 3.
Theorem 6. Let the assumptions of Theorem 3 be true. Then, the following inequalityholds. Proof. By using the fact that
is convex and basic calculus, Lemma 3 implies the following:
Thus, a few calculations give (
17). □
In the next examples, we discuss the applications of Theorem 6 for some specific functions.
Example 18. Putting in (17), we obtain the inequality Example 19. Putting in (17), we obtain the following:where . Example 20. Putting where in (17), we obtain the following inequality: Example 21. Putting in (17), we obtain the inequality Next, we give another theorem.
Theorem 7. Let the assumptions of Theorem 4 be true. Then, the following inequalityholds. Proof. If , then the above inequality can be obtained using basic calculus in Lemma 3 and is convex.
Now, suppose that
. The right-hand side of Lemma 3, along with the power mean inequality and simple calculus, imply the following inequality:
□
In the next examples, we discuss the applications of Theorem 7 for some specific functions.
Example 22. By substituting in (18), we obtain Example 23. By substituting in (18), we obtainwhere . Example 24. By substituting where in (18), we obtain the inequality Example 25. By substituting in (18), we obtain Theorem 8. The following inequalityholds under the same assumptions as in Theorem 5. Proof. By using Hölder’s inequality and basic calculus in Lemma 3, we obtain
As
is convex, the right-hand side of the inequality (
20) takes the following form:
In the above computations, we use where and to obtain our desired result. □
In the next examples, we discuss the applications of Theorem 8 for some specific functions.
Example 26. Putting in (19), we obtain Example 27. By substituting in (19), we obtain the inequalitywhere . Example 28. By using in (19), we obtain Example 29. Putting in (19), we obtain 4. Concluding Remarks
Several generalized novel mean-type inequalities were obtained via certain convex functions using fractional calculus and convexity theory. Using the generalized form of the RL-fractional integral, namely the
-RL-fractional integral, we established various mean-type inequalities for strictly monotone functions in this article. The main results were formulated after first establishing a special identity. Through different choices of strictly monotone functions, the corresponding inequalities were also produced. The findings of this article can be reduced to that of [
22] by taking
and
. The obtained results are hopefully helpful in the field of modified scientific disciplines.
Author Contributions
Conceptualization, M.S. and M.M.; methodology, I.S. and M.Y.; software, M.S. and M.M.; validation, M.M., M.V.-C. and M.Y.; formal analysis, M.S. and I.S.; investigation, M.M., M.S., I.S. and M.V.-C.; data curation, M.Y., M.M. and I.S.; writing—original draft preparation, M.S. and M.M.; writing—review and editing, M.S., M.M. and I.S.; visualization, M.M.; supervision, M.M. and M.S.; project administration, M.V.-C. and M.S., funding acquisition, M.V.-C. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Conflicts of Interest
The authors declare no conflict of interest.
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