Refinements of some fractional integral inequalities for refined (α,h−m)\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$(\alpha ,h-m)$\end{document}-convex function

This article investigates new inequalities for generalized Riemann–Liouville fractional integrals via the refined (α,h−m)\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$(\alpha ,h-m)$\end{document}-convex function. The established results give refinements of fractional integral inequalities for (h−m)\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$(h-m)$\end{document}-convex, (α,m)\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$(\alpha ,m)$\end{document}-convex, (s,m)\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$(s,m)$\end{document}-convex, and related functions. Also, the k-fractional versions of given inequalities by using a parameter substitution are provided.


Introduction
The origin of fractional calculus goes far back to the seventeenth century, when G.W. Leibniz and Marquis de l'Hospital started a discussion on semi-derivatives. This question became the source of inspiration for many well-known mathematicians to explore the contemporary conceptions of the field. Over the late nineteenth century, the theory of fractional calculus expanded significantly. Now it spans from mathematics, physics, viscoelasticity, rheology, chemical, and statistical physics to electrical and mechanical engineering, etc.
In mathematical analysis, the use of integral inequalities has undergone an exponential growth in publications. Many integral inequalities that have been established in recent years with a variety of definitions of fractional-order operators included Riemann-Liouville, Caputo, Katugampola, Caputo-Fabrizio. Using these integrals, researchers have obtained different versions of well-known inequalities of Hermite-Hadamard, Hardy, Opial, Ostrowski, and Grüss (see [1][2][3][4][5][6]).
Here, motivated and inspired by the ongoing research (see [7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24]), essentially the abovementioned works, we intend to demonstrate a few novel as well as detailed generalizations using the Riemann-Liouville operator applied over established well-known Hermite-Hadamard inequalities. More precisely, we considered the Riemann-Liouville fractional integrals with monotonically increasing function that plays a crucial role in our study. The Hermite-Hadamard inequality is proved for this operator with a refined (α, hm)-convex function. This inequality obtained here also pointed out to include various known results as their special cases. Also, k-fractional versions of the established inequalities are given. In connection with that we refine some known results existing in the literature. Further, associated with the findings of this paper, some new results are presented.
A convex function f : [a, b] → R is also defined by the Hermite-Hadamard inequality stated as follows: We recall the definition of refined (α, hm)-convex function as follows.

Definition 1 ([25]
) Let J ⊆ R be an interval containing (0, 1), and let h : For different suitable choices of h and taking particular values of parameters m and α, the above definition gives some already established definitions. (iv) If α = m = h(t) = 1, then Definition 1 reduces to the definition of P-function stated in [27].
(v) If 0 < h(t) < 1, then Definition 1 gives the refinement of the definition of (α, hm)convex function stated in [28], that is, one can get refinements of all kinds of related convexities.
Many definitions can be obtained from Definition 1 for different suitable choices of h and involved parameters.
The above definition can be obtained by taking h(t) = t in (1.1).
Then left-sided and right-sided Riemann-Liouville fractional integrals of a function f of order μ, where (μ) > 0, are defined as follows: and The Hermite-Hadamard inequality was generalized by Riemann-Liouville fractional integrals of convex functions in [29,30]. There exist many other versions of Hermite-Hadamard inequality in literature for different kinds of fractional integrals, see [2,8,13,14,17,23,[31][32][33][34] and the references therein. In the following, we give fractional versions of Hermite-Hadamard inequalities for convex functions via Riemann-Liouville fractional integrals.
Also, suppose that f is a convex function on [a, b], then the following fractional integral inequality holds: with μ > 0. Also suppose that f is a convex function on [a, b], then the following fractional integral inequality holds: The inequality for a tgs-convex function via Riemann-Liouville fractional integral is stated in the following theorem.
The definition of generalized Riemann-Liouville fractional integrals by a monotonically increasing function is given here.
. Also let ψ be an increasing and positive monotone function on (a, b] having a continuous derivative ψ on (a, b). The left-sided and rightsided fractional integrals of a function f with respect to another function ψ on [a, b] of order μ, where (μ) > 0, are defined by and Next, we give two versions of Hermite-Hadamard inequalities for generalized Riemann-Liouville fractional integrals.
Also, suppose that f is a convex function on [a, b], ψ is an increasing and positive monotone function on (a, b] having a continuous derivative ψ on (a, b). Then the following fractional integral inequality holds: with μ > 0.
Also suppose that f is a convex function on [a, b], ψ is an increasing and positive monotone function on (a, b] having a continuous derivative ψ on (a, b). Then the following fractional integral inequality holds: The k-analogue of generalized Riemann-Liouville fractional integrals (1.4) and (1.5) is defined as follows. and For more details on the above defined fractional integrals, we refer the readers to see [36,37]. The rest of the paper is organized in the following manner. In Sect. 2, we prove some fractional integral inequalities of Hermite-Hadamard type for refined (α, hm)-convex functions via (1.4) and (1.5). Also, we have given refinements of a few fractional versions of Hermite-Hadamard inequalities proved in [20,25,[29][30][31][32]. In Sect. 3, k-fractional versions of Hermite-Hadamard inequalities for refined (α, hm)-convex functions are given.

Hermite-Hadamard inequalities for refined (α, h -m)-convex function
In this section, we give Hermite-Hadamard inequalities for the refined (α, hm)-convex function.  on (a, b). Then, for (α, m) ∈ (0, 1] 2 , the following fractional integral inequality holds: Proof The following inequality holds for the refined (α, hm)-convex function: (2.2), we get the following inequality: Using the refined (α, hm)-convexity of f and integrating the resulting inequality over the interval [0, 1] after multiplying with t μ-1 , we get Corollary 1 Under the assumption of Theorem 6, the following fractional integral inequality holds for the refined (α, m)-convex function: Proof By taking h(t) = t in (2.1), the required inequality (2.4) can be obtained.

Corollary 2 Under the assumption of Theorem 6, the following fractional integral inequality holds for the refined (hm)-convex function:
Proof By setting α = 1 in (2.1), the required inequality (2.5) can be obtained.

Remark 4 (i) If m = 1 in (2.5), then the result for the refined h-convex function can be obtained. (ii) If ψ is the identity function in (2.5), then the inequality stated in [25, Corollary 2] can be obtained.
Corollary 3 Under the assumption of Theorem 6, the following fractional integral inequality holds for the refined (s, m)-convex function: Proof By setting h(t) = t s in (2.5), the required inequality (2.6) can be obtained.

Corollary 4 Under the assumption of Theorem 6, the following inequality holds for the refined m-convex function:
4f a + mb 2 (2.7) Proof By taking h(t) = t in (2.5), the required inequality (2.7) can be obtained.
2), we get the following inequality: Using the refined (α, hm)-convexity of f and integrating the resulting inequality over [0, 1] after multiplying with t μ-1 , we get (2.10), then by applying Definition 10 and multiplying by μ, we get the inequality (2.9).
Remark 8 (i) If ψ is the identity function in (2.9), then the inequality stated in [25,Theorem 3] can be obtained.

Corollary 5
Under the assumption of Theorem 8, the following fractional integral inequality holds for the refined (α, m)-convex function: Proof By setting h(t) = t in (2.9), the required inequality (2.11) can be obtained.
Remark 9 (i) If m = 1 in (2.11), then the result for the refined α-convex function can be obtained.
(ii) If ψ is the identity function in (2.11), then the inequality stated in [25, Corollary 7] can be obtained.

Corollary 6
Under the assumption of Theorem 8, the following fractional integral inequality holds for the refined (hm)-convex function: Proof By setting α = 1 in (2.9), the required inequality (2.12) can be obtained.
Proof By setting h(t) = t s in (2.12), the required inequality (2.13) can be obtained.
Proof By setting h(t) = t in (2.12), the required inequality (2.14) can be obtained.
Remark 12 (i) If m = 1 in (2.14), then the result for the refined convex function can be obtained.
(ii) If ψ is the identity function in (2.14), then the inequality stated in [25,Corollary 11] can be obtained.
The following theorem is the extension of inequality (2.9).
Theorem 9 Under the assumption of Theorem 8, further if h(t) ≤ 1 √ 2 , then the following fractional integral inequality holds: Remark 13 (i) If m = 1 in (2.15), then the refinement of Theorem 5 can be obtained.
(ii) If m = 1 and ψ is the identity function in (2.15), then the refinement of Theorem 2 can be obtained.
(iii) If ψ is the identity function in (2.15), then the inequality stated in [25,Theorem 4] can be obtained.

k-Analogues of Hermite-Hadamard inequalities for refined (α, h -m)-convex function
In this section, we present k-fractional versions of Hermite-Hadamard type inequalities for the refined (α, hm)-convex function discussed in Sect. 2.
Theorem 10 Under the assumption of Theorem 6, for k > 0, the following k-fractional integral inequality holds: Proof Using (1.8) and (1.9) after replacing μ with μ k in (2.1), we get the above inequality (3.1).
Remark 14 If ψ is the identity function in (3.1), then the inequality stated in [25,Theorem 5] can be obtained.

Corollary 9
Under the assumption of Theorem 10, the following fractional integral inequality holds for the refined (α, m)-convex function: Proof By setting h(t) = t in (3.1), the above inequality can be obtained.
Remark 15 If ψ is the identity function in (3.2), then the inequality stated in [25,Corollary 13] can be obtained.

Corollary 10
Under the assumption of Theorem 10, for k > 0, the following k-fractional integral inequality holds for the refined (hm)-convex function: Proof By setting α = 1 in (3.1), the above inequality (3.3) can be obtained.
Remark 16 If ψ is the identity function in (3.3), then the inequality stated in [25,Corollary 13] can be obtained.

Corollary 11
Under the assumption of Theorem 10, the following fractional integral inequality holds for the refined (s, m)-convex function: Remark 17 If ψ is the identity function in (3.4), then the inequality stated in [25,Corollary 14] can be obtained.

Corollary 12
Under the assumption of Theorem 10, the following inequality holds for the refined m-convex function: Proof By setting h(t) = t in (3.3), we get the above inequality (3.5).
Remark 18 If ψ is the identity function in (3.5), then the inequality stated in [25,Corollary 15] can be obtained.