Inequalities for fractional Riemann–Liouville integrals of certain class of convex functions

Fractional calculus operators play a very important role in generalizing concepts of calculus used in diverse ﬁelds of science. In this paper, we use Riemann–Liouville fractional integrals to establish generalized identities, which are further applied to obtain midpoint and trapezoidal inequalities for convex function with respect to a strictly monotone function. These inequalities reproduce midpoint and trapezoidal inequalities for convex, harmonic convex, p -convex, and geometrically convex functions. Also, some new inequalities can be generated via speciﬁc strictly monotone functions.


Introduction
If an additive inverse of ψ is convex, then ψ would be a concave function. Recently, several integral inequalities relating to many well-known classes of convex functions have been proven using different concepts and techniques. Generalizations of convex functions have played an important role in the development of several fields of pure and applied sciences. Convexity theory has been further extended in different directions with innovative techniques. The Hermite-Hadamard inequality given below is a tangible geometric visualization of a convex function. Theorem 1 ([7]) Let ψ : [a, b] → R be a convex function. Then we have the following inequality: (1.1) Error estimations of the Hermite-Hadamard inequality give the error bounds of the midpoint and trapezoidal quadrature rules. The inequality stated in (1.1) has been studied for different kinds of convex functions, also by establishing some identities their error estimates are obtained. For a detailed study we refer the readers to [1-5, 8, 9, 12, 13, 15, 16]. The aim of this paper is to present error estimates of Hermite-Hadamard-type inequalities for Riemann-Liouville fractional integrals of different kinds of convex functions in generalized form by applying convexity of a function with respect to a strictly monotone function. Definition 1 ([18]) If φ is a strictly monotone function, then a function ψ is said to be convex with respect to φ if ψ • φ -1 is a convex function.
The above definition generates convex, harmonic convex, p-convex, and geometrically convex functions corresponding to the identity, reciprocal, power, and logarithm functions, respectively, see [25]. Next, we define Riemann-Liouville fractional integrals.
Then left-and right-sided Riemann-Liouville fractional integrals of a function f of order μ, where (μ) > 0, are defined as follows: and Many inequalities have been analyzed for different types of convex functions using Riemann-Liouville fractional integrals [14,20,21,23]. Our aim in this paper is to utilize Riemann-Liouville fractional integrals to investigate the Hermite-Hadamard inequality for a convex function with respect to a strictly monotone function. The error estimation of this inequality provides midpoint-and trapezoidal-type inequalities for convex, geometrically convex, harmonically convex, and p-convex functions. Next, we give the Hermite-Hadamard inequality for a convex function with respect to strictly monotone function.

Theorem 2 ([24]) Let I, J be intervals in R and
be a strictly monotone function. If ψ is convex with respect to φ, then the following inequality holds: In the upcoming section, we establish a trapezoidal type identity for a function via another strictly monotone function. By applying the established identity, the trapezoidaltype inequalities are studied using convexity. Moreover, a midpoint-type identity for a function via another strictly monotone function is established, and corresponding inequalities are studied. The findings of this article are connected with the inequalities proved in [6,8,10,12,17,[20][21][22]].

Error estimation of Hermite-Hadamard inequality for a convex function with respect to a strictly monotone function
First, we establish the following integral identity to study the error estimates of the Hermite-Hadamard inequality (1.4).
Then the following identity holds: Proof First, we evaluate the following integral: Similarly, from integration by parts one can have the following equation: By using (2.2) and (2.3) in the right-hand side of (2.1), the left-hand side can be obtained.
By using Lemma 1, we prove the following error estimate of Theorem 2.
If |(ψ • φ -1 ) | is convex, then the following inequality holds: Proof By using the property of the absolute value function in Lemma 1, one can get the following inequality: Now, by using convexity of |(ψ • φ -1 ) | on the right-hand side of the above inequality (2.5), we get the following inequality: from which, after a little computation, one can get (2.4).
Remark 3 By considering other strictly monotone functions in place of φ in Theorem 3, the corresponding inequalities can be formulated.
Case 2: q > 1. By using the property of the absolute value function and power mean inequality on the right-hand side of identity (2.1), the following inequality is established: We have that Also, by convexity of |(ψ • φ -1 ) | q , we get the following inequality: We now compute the integrals appearing on the right-hand side of the above inequality: Using (2.9) and (2.10) in (2.8), the required inequality can be obtained.

Corollary 9
By setting φ(x) = ln x, inequality (2.6) reduces to the following inequality: Corollary 10 By setting φ(x) = x r , r = 0, inequality (2.6) reduces to the following inequality: The following lemma is useful to prove the next theorem. If |(ψ • φ -1 ) | q , q > 1 is convex, then the following inequality holds: Proof By using the property of the absolute value function and then Hölder's inequality on the right-hand side of (2.1), the following inequality is obtained: (2.13) Using Lemma 2, we have Also, by convexity of |(ψ • φ -1 ) | q , we get the following inequality: Hence, by using above calculations of integrals, one can obtain inequality (2.12).
Remark 5 By considering other strictly monotone functions in place of φ in Theorem 4, the corresponding inequalities can be formulated.
In the following we establish another identity to further study the error estimates of inequality (1.4).

Lemma 3
Under the assumptions of Lemma 1, the following identity holds: (2.14) Proof Integrating by parts, we have Above we have used a change of variables. Also (2.16) From equations (2.15) and (2.16), identity (2.14) is established.

Theorem 6
Under the assumption of Theorem 3, the following fractional integral inequality holds: (2.17) Proof By using the property of the absolute value function and the convexity of |(ψ • φ -1 ) | in Lemma 3, we get from which we get inequality (2.17).

Theorem 7
Under the assumptions of Theorem 4, the following inequality holds: (2.18) Proof We divide the proof into two cases.
Case 2: q > 1. By using the property of the absolute value function in Lemma 3 and the power mean inequality, the following inequality holds: Hence, inequality (2.18) is proved.