Abstract
In this paper, several applications of the Hermite–Hadamard inequality for fractional integrals using -convexity are discussed, including some new refinements and similar extensions, as well as several applications in the Gamma and incomplete Gamma functions.
Keywords:
convex function; GA-convex function; Hermite–Hadamard inequality; Hadamard fractional integral operator MSC:
26D15; 26D20; 26D07
1. Introduction
We know that an interval is convex if for all , , we have , where and a function is convex if for all , , the inequality
holds. A function is concave if the inequality (1) holds in the opposite direction.
Inequalities are an excellent mathematical tool because of their importance in fractional calculus, classical calculus, quantum calculus, stochastic calculus, time-scale calculus, fractal sets, and other topics. Integral inequalities are the essential mathematical tools that connect integrals and inequalities and provide insights into the behavior of functions across specific intervals. We refer the interested reader to the references provided for more information on inequalities [,].
Convexity is critical to understanding and solving problems involving fractional integral inequalities. Because of its attributes and definition, its relevance has recently been recognized. The studies [,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,] show that convex functions have been generalized in a number of ways and, hence, a vast literature related to the Hermite–Hadamard inequalities [,] has been produced using several new novel generalizations of convex functions as well as fractional integral operators. The Hermite–Hadamard inequalities are very useful that provide the upper and lower bounds of the average value of a convex function over an interval. These are mostly used in mathematics to study the properties of convex functions and their applications in optimization and approximation theory. The Hermite–Hadamard integral inequalities are those most commonly found when searching for comprehensive inequalities [,]:
where the function is convex on I and .
We refer the interested reader a remarkable paper [] for the Weighted generalization of the inequalities (2) obtained by the famous mathematician Fejér.
2. Literature Review
As well as being helpful for generalization, convexity and convex functions have many other uses. The concept of -convexity and -convex functions is one of those generalizations, and is defined as follows:
Definition 1
([,]). Let . A function is considered to be -convex, if the inequality
holds for all and . If the inequality (3) holds in the reversed direction, then the function is defined as -concave.
The following Hermite–Hadamard-type inequalities were proved in [] by applying -convexity.
Theorem 1
([]). Let be a -convex function and with . If , then the following inequalities hold:
Fractional calculus, which focuses on fractional integration across complex domains, has recently gained prominence and aroused the interest of mathematicians due to its practical applications. The study of fractional integral inequality was influenced by the work of well-known inequalities researchers, such as Ostrowski, Simpson, and Hadamard. Fractional calculus is applied in many fields, including engineering, modeling, economics, mathematical biology, fluid flow, natural phenomena prediction, health-care, and image processing.
The left-sided and right-sided Riemann–Liouville fractional integrals and of order in (5), are defined, respectively, as (see [,,]):
and
where is the Gamma function defined by
Let . The right-hand side and left-hand side Hadamard fractional integrals and of order with are defined by (please see the reference [] for more details on Hadamard fractional integral operators):
and
where is the Gamma function as defined above.
The following fractional integral forms can be used to express Hermite–Hadamard-type inequalities (4) for -convex functions:
Theorem 2
(Trapezoidal-type fractional inequalities []). Let be a function such that , where with . If φ is a -convex function on , then the following inequalities for fractional integrals hold:
with .
Theorem 3
(Midpoint-type fractional inequalities []). Let be a function such that , where with . If φ is a -convex function on , then the following inequalities for fractional integrals hold:
with .
Kunt and İşcan [] proved the inequalities that provide the bounds for the difference between the terms in the second part of the inequalities (5).
Theorem 4
([]). Let be a differentiable mapping on such that , where with and . If is -convex on , then the following inequality via fractional integrals holds:
where
and
Theorem 5
([]). Let be a differentiable mapping on such that , where with and . If is -convex on , then the following inequality via fractional integrals holds:
where
and
If , then one can obtain the following inequalities that give us the bounds for the difference between the terms in the inequalities (4).
Theorem 6
([]). Let be a differentiable mapping on such that , where with . If is -convex on , then the following inequality via fractional integrals holds:
where
and
Theorem 7
([]). Let be a differentiable mapping on such that , where with . If is -convex on , then the following inequality via fractional integrals holds:
where
and
Motivated by the studies presented in [,], we initiated similar studies as described in [] using one of the novel generalizations of the convexity of functions that is known as the -convexity of functions. The results presented in this paper are novel since these results make use of the novel generalization of the convexity and an important integral operator of fractional calculus known as the Hadamard fractional integral operator. The results of this manuscript can only provide refinements of Hermite–Hadamard-type integral inequalities that have been proven for -convex functions using Hadamard fractional integral operators. Section 3 provides the results for the extensions and refinements of the Hermite–Hadamard-type inequalities (4). Section 4 considers the extensions of the fractional Hermite–Hadamard-type inequalities (5) and (6) by using the Hadamard fractional integral operators. Section 5 contains some applications of the bounds of the Gamma function and upper incomplete Gamma functions together with some graphical interpretations to validate the results obtained.
3. Main Results
This section begins with the following result that is an extension of the result (4).
Theorem 8.
Let be a -convex function with . Then, we have the inequality
for .
Proof.
We can derive the following identities from simple computation:
It is easy to observe that
and
Since
and
where and .
We can also write the following identities:
where .
Moreover, we also obtain that
and
where .
Lastly, we obtain the following identities:
and
where with .
Using the -convexity of , we obtain
and
Using the aforementioned identities (12)–(14) and the -convexity of , we obtain the following inequalities:
and
Adding (23) and (24), we obtain
Applying (15) and (18) and using the convexity of give
Applying (19) and (20), together with the convexity of , yield
Adding (26) and (27), we obtain
Combining (25) and (28), we obtain the desired result. □
Corollary 1.
In Theorem 8, let , then we have the inequality
The inequality provides a refinement of the inequality (4).
4. Extended Inequalities for Fractional Integrals Using Harmonic Convexity
In this section, we establish some results which are extensions of some existing results.
Theorem 9.
Let be an function with for ρ, . If is differentiable on and is -convex on , then the following inequality holds for :
Proof.
Theorem 10.
Let be an function with for ρ, . If is differentiable on and is -convex on , then the following inequality holds for :
Proof.
Let be defined as
We obtain the following identities using the integration by parts:
In a similar way to that of obtaining (32)–(35) in Theorem 9, we observe that the following identities hold:
and
Now, by using the convexity of , and the identities (39)–(42), we obtain
The inequality (43) when combined with (38) yields the desired result. □
Remark 2.
Theorems 9 and 10 are similar extensions of Theorems 2 and 3.
Remark 3.
Let in Theorems 9 and 10. The following inequalities are then obtained:
and
5. Applications of the Results
The Gamma function and the lower and upper incomplete Gamma functions are defined as
and
Let be a real number and consider the convex function , . Then, the function , is a -convex function on . Observe that for and is a positive integer, we have
and
We can now obtain the following estimates regarding the incomplete Gamma and Gamma functions:
Proposition 1.
Let , κ be positive integers in Theorem 8, where , then the following inequality holds:
Proof.
The proof is obvious from Theorem 8 for the function , . The Figure 1 also supports the validity of the inequality (46).
Figure 1.
Graph of inequality (46) for and .
□
Proposition 2.
Let and κ be a positive integer in Theorem 9, then the following inequality holds:
Proof.
The proof follows directly from Theorem 9 using the harmonic convex function , for . The Figure 2 confirms the validity of the above inequality.
Figure 2.
Graph of inequality (47) for and .
□
Proposition 3.
Let and κ in Theorem 10. Then the following inequality holds:
6. Concluding Remarks
The mathematical inequalities topic has grown immensely over the past four decades and many papers have been written on this topic presenting novel ideas. In establishing the results for this topic, convexity plays a pivotal role and this has resulted in a variety of generalizations to convexity. As the topic of mathematical inequalities relating to a number of real life phenomena cannot be modeled using ordinary calculus, mathematicians are utilizing fractional calculus and have produced some surprisingly useful results. This study deals with the results of Hermite–Hadamard-type inequalities by applying one of the novel generalizations of convexity, know as the -convexity (also known as the geometric-arithmetic convexity) and Hadamard fractional integral operators, which are very useful and important fractional integral operators in fractional calculus since classical derivations cannot adequately model the majority of applied issues. In terms of application domains, fractional integral and derivative operators create links between mathematics and other disciplines and offer answers that are very applicable to real-world issues. The results in this paper provide generalizations and refinements of some of the results proved in [,,,,]. We believe that the results may motivate mathematicians working in the field of fractional calculus to demonstrate novel results using more generalized forms of convexity together with other fractional integral operators.
Funding
This work is supported by the Deanship of Scientific Research, King Faisal University, under the Ambitious Researcher Track (Research Project Number GRANT5677).
Data Availability Statement
No data have been provided in the manuscript.
Acknowledgments
The author is very grateful to the anonymous referees for their very useful and constructive comments to improve the paper.
Conflicts of Interest
The author declares no conflicts of interest.
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