Abstract
In this paper, we shall discuss a newly introduced concept of center-radius total-ordered relations between two intervals. Here, we address the Hermite–Hadamard-, Fejér- and Pachpatte-type inequalities by considering interval-valued Riemann–Liouville fractional integrals. Interval-valued fractional inequalities for a new class of preinvexity, i.e., -h-preinvexity, are estimated. The fractional operator is used for the first time to prove such inequalities involving center–radius-ordered functions. Some numerical examples are also provided to validate the presented inequalities.
Keywords:
interval-valued functions; Hermite–Hadamard inequalities; center–radius order; Riemann–Liouville fractional operator MSC:
26A51; 26A33; 26D10
1. Introduction
It is well known that if the function is preinvex with respect to , i.e.,
and is an invex set with respect to , then for all , we have
The above-mentioned inequality is a modification of the classical Hermite–Hadamard inequality given as (see [1]):
The Hermite–Hadamard inequality has played an important role in the development of the theory of convex analysis. It has attracted many mathematicians and has been the source of many generalizations. One of the recent aspects of the theory of inequality has been to establish new versions of the classical Hermite–Hadamard inequality using new fractional operators.
Definition 1.
(see [2,3]) Let on . Then, the left and right Riemann–Liouville fractional integrals for the order are defined as follows:
and
respectively, where is the Euler gamma function.
To make a move in this direction, Sarikaya et al. (see [2]) improved this inequality by presenting its fractional counterpart for Riemann–Liouville fractional integrals given as:
Suppose is a convex function with . If , then for ,
Fractional calculus is a basic concept in applied sciences and mathematics. Researchers are driven to use fractional calculus as a tool to address many practical issues. Fractional analysis and inequality theory have coevolved in the modern age. Various fractional versions of Hermite–Hadamard-, Fejer-, Ostrowski-, and Pachpatte-type inequalities have received much attention over the years. Many scholars have used the Riemann–Liouville fractional integral operators to study the Ostrowski inequality (see [4]), Simpson-type inequality (see [5]), and Hermite–Hadamard–Mercer inequalities (see [6]) in addition to the aforementioned inequality. Through fractional integral operators of the Katugampola type, the Hermite–Hadamard inequality and its Fejér counterpart were studied by Katugampola et al. (see [7]). Fernandez and Mohammed (see [8]) employed Atangana–Baleanu fractional operators to present alternative variants of the Hermite–Hadamard inequality, and Tariq et al. (see [9]) proved Simpson–Mercer type inequalities. The Hermite–Hadamard inequality was also studied using the Caputo–Fabrizio fractional integrals (see [10,11]). Recently, Butt et al. (see [12]), presented new versions of Jensen- and Jensen–Mercer-type inequalities in the fractal sense. New fractional versions of Hermite–Hadamard–Mercer- and Pachpatte–Mercer-type inclusions have been established for convex [13] and harmonically convex functions [14], respectively. Hermite–Hadamard inequalities have been further generalized for convex interval-valued [15] and LR-Bi convex fuzzy interval-valued functions [16]. Kashuri et al. [17] established Beesack–Wirtinger-type inequalities for different convexities. Several other interesting versions of the mentioned inequalities can also be found in the literature (see [18,19,20]). This analysis discloses the strong connection shared between fractional integral operators and integral inequalities.
In this paper, we are interested in incorporating the concepts of a new type of interval-valued analysis, i.e., center–radius order with fractional calculus, to present our results. To be more specific, Hermite–Hadamard-type inequalities and their refinements, such as Pachpatte-type inequalities and Fejér-type inequalities, are discussed for interval-valued preinvex functions, the product of two preinvex functions, and symmetric functions.
Throughout this paper, we use the following notation:
- is the set of all closed intervals of ;
- is the set of all positive closed intervals of ;
- is the set of all negative closed intervals of .
-Order Relation
Let , then the center of the interval is defined as and the radius of the interval is defined as . Together, they are represented as:
Definition 2.
The center–radius-order relation for , is defined as:
We have either or for any two intervals .
Definition 3.
(see [21]) Let be an interval-valued function defined as
Then, we say the function is Riemann integrable over , if and only if and are Riemann integrable over , i.e.,
The set of all Riemann-integrable interval-valued functions over are represented by .
Corollary 1.
Let be an interval-valued mapping such that with . Then
and
Shi et al. (see [22]) improved the properties of integration and explained that it preserves the order with respect to the -order as well.
Theorem 1.
Let the two interval-valued functions be defined as
Then,
holds if for all .
Example 1.
Let and . Then for
From Definition 2, we have , since
and
Now, again using Definition 2, we have
Figure 1.
Graphical validation of Theorem 1.
Figure 2.
The graph of and .
We choose the center-radius order interval-valued analysis defined by Bhunia et al. (see [23]) among the multiple interpretations and definitions of interval-valued analysis offered by various authors (see [24,25,26,27]). Despite initially appearing to be equivalent, each specified notion and its definitions are entirely distinct. Numerous researchers have connected various convex functions and integral inequalities within the framework of interval-valued analysis, yielding several noteworthy results. The Ostrowski-type inequalities were examined by Chalco-Cano (see [28]), the Minkowski-type inequalities were established by Roman-Flores (see [29]), and the Opial-type inequalities were investigated by (see [30]). The interval-valued h-convex function was proposed by Zhao et al. (see [31]), who also established a refinement of the Hermite–Hadamard inequality. Left–right interval-valued and fuzzy interval-valued functions were introduced by Zhang et al. (see [26]) and Costa et al. (see [27]) to prove Jensen’s inequalities. The interval -convex function was first described by An et al. [32]. Zhao et al. [33] improved on this idea by creating matching -type inequalities and interval-valued coordinated convex functions. This was also used to support the and Fejer-type inequalities for n-polynomial convex interval-valued functions [34] and preinvex functions [35,36]. Recently, Lai et al. [37] expanded the idea of interval-valued preinvex functions to include interval-valued coordinated preinvex functions.
The inclusion and interval of the partial lower–upper (LU) or left–right (LR) order connections are what support these findings. Therefore, it is crucial to understand how to use a total order relation to look at the convexity and inequality of interval-valued functions. In the course of this study, we deal with the complete interval order relation, or -order, as proposed by Bhunia et al. [23]. Investigating the --preinvexity of interval-valued functions in terms of -order for fractional integrals is the main objective of this study.
Recently, the use of fractional calculus and interval-valued analysis have increased exponentially with respect to integral inequalities. To move forward in this direction, it is necessary to incorporate the concepts of -order interval-valued analysis and fractional calculus to present new inequalities. There have not been many studies done considering the Hermite–Hadamard inequality for center–radius -order interval-valued functions. To fill this gap in the literature, we aim to establish some Hermite–Hadamard-type inequalities and their refinements with the help of fractional calculus, fuzzy calculus, time-scale calculus, and quantum calculus. Particularly in this article, we shall start our study by incorporating fractional calculus and interval-valued -preinvexity to present our main results. In subsequent articles, we shall focus on considering these concepts in the above-mentioned directions.
The novelty of the current study is that for the first time in the literature, we employ fractional operators to establish our inequalities concerning the center–radius-ordered relation. In terms of how integral inequalities such as the Hermite–Hadamard-, Pachpatte-, and Fejér-types can be combined with the concepts of the -interval-valued function, this study provides a new avenue in the subject of inequalities. Here, it is important to emphasize the distinction between the -order interval-valued analysis notion and the traditional interval-valued analysis concept. Here, we calculate the intervals using the concept of center and radius defined as and , respectively, where and are endpoints of an interval .
The rest of the paper is organized as follows: In Section 1, we review the necessary conditions and pertinent information pertaining to the associated interval-valued analysis and integral inequalities. In Section 2, we explain the concept of preinvexity and -order functions. In Section 3, we derive the Hermite–Hadamard and its relevant inequalities for the --preinvex functions. In Section 5, we provide a succinct conclusion and discuss several open research questions that are related to the findings of this work.
2. Preliminaries
In the year 1981, Hanson (see [38]) introduced the concept of invex functions in the context of the bifunction . Invex sets and preinvex functions were studied by Ben-Israel and Mond (see [39]) shortly after Hanson’s study was published. Convexity is a more narrowly defined concept than preinvexity. In 1988, Weir and Mond (see [40]) investigated the theory of preinvexity using the idea of invex sets.
Definition 4.
(see [40]) Let ; then, is said to be invex at with respect to if for each ,
Condition C.
(see [41]) Let be an open invex subset with respect to . For any and ,
and
In fact, using condition C, for any and , one has
Definition 5.
(see [42]) The function is said to be -preinvex with respect to ψ if
where is an invex set with respect to and .
Interval-Valued --Preinvex Functions and Relevant Results
Sahoo et al. (see [43]) introduced the concept of interval valued --Preinvex function and established some alternative forms of the Hermite–Hadamard, Fejer and Pachhpatte type inclusions. The new definitions and some of their results are given as follows:
Definition 6.
Let be a real function and be an interval-valued mapping given by . Then, we say the function is interval-valued --preinvex with respect to ψ iff
Theorem 2.
Assuming is an interval-valued mapping, i.e.,
for all . If is a --preinvex function. Then, for ,
holds true.
Theorem 3.
Suppose that is an interval-valued function given by
for all and . If is a -preinvex function and is a -preinvex function, then
where
and
Proposition 1.
Let be interval-valued functions given by . If and are -preinvex functions, then is an interval-valued --preinvex functions.
To take the relevant work forward, we present new fractional versions of the above inclusions for the newly introduced notion via Riemann–Liouville fractional integral operators.
3. Riemann–Liouville Fractional Inclusions for Interval-Valued -Preinvexities
In the following results, we intend to study the application of -ordered functions in integral inequalities via fractional operators.
Theorem 4.
Suppose is an interval-valued function that is given by
for all . If is a --preinvex function. Then for , we have
Proof.
Using the --preinvexity and from condition C,
For and It is seen that
This implies that
Upon multiplication of (4) by and then integrating over ,
Now, it can be concluded that
Hence, the first inequality is established. For the next part, we have
and
Consequently, we have
We conclude,
□
Remark 1.
Choosing in Theorem 4, one gets the following results:
Remark 2.
Choosing and in Theorem 4, one gets new findings for -convex functions:
where .
Theorem 5.
Let be interval-valued functions, given as:
for all and . If is a -preinvex function and is a -preinvex function, then
holds true, where
and
Proof.
Using the --preinvexity, we have
and
Consequently, upon multiplication, it follows
Similarly,
From Definition 3, it follows
This completes the proof. □
Remark 3.
Choosing in Theorem 5, one gets findings for --convex functions, i.e.,
Theorem 6.
Let be interval-valued functions, given as
for all and . If is a -preinvex function and is a -preinvex function, then
holds true, where and .
Proof.
Using the --preinvexity and condition C,
It follows that
and
Using the concept of interval-valued analysis,
Upon multiplication by and integrating over , one has
Consequently,
This completes the proof. □
Remark 4.
Choosing in Theorem 6, one gets
Theorem 7. (Hermite–Hadamard–Fejér-type inequality of the first kind)
Let be an interval-valued function, given as
for all . If is a --preinvex function and , is symmetric with respect to , then assuming
the following inequalities hold true:
Proof.
Using the --preinvexity and condition C, we have
Multiplying by and integrating over ,
since
Additionally,
and
From (16), we have
This completes the proof. □
Remark 5.
Choosing in Theorem 7, one gets findings for --convex functions, i.e.,
Theorem 8. (Hermite–Hadamard–Fejér inequality of the second kind)
Let be an interval-valued function, given as
for all . If is a --preinvex function and , is symmetric with respect to , then the following inequalities hold true:
Proof.
Considering as a --preinvexity and as symmetric with respect to , we have
and
Upon addition of the above inequalities, we have
Now, using the symmetry property of , we have
Multiplying the above inequality by and then integrating over , we have
From Definitions 1 and 3, we have
This completes the proof. □
Remark 6.
Choosing in Theorem 8, one gets findings for --convex functions, i.e.,
Remark 7.
Combining Theorems 7 and 8 for , we have Theorem 4.
4. Numerical Estimations
Example 2.
Let , , , and . Then, for and , all assumptions of Theorem 4 are satisfied. We have
and
Consequently,
This ultimately confirms the validity of Theorem 4.
Example 3.
Let , , , and . Then, for and all assumptions of Theorem 5 are satisfied. Let us denote
Thus, it can be easily seen that
This ultimately confirms the validity of Theorem 5.
Example 4.
Similarly, if we take all the assumptions of Example 3, then all the hypotheses in Theorem 6 are satisfied.
Example 5.
Let , , , and . Then, for and symmetric function , where is symmetric about , we have
Let , and . Then, and . Thus, from Definition 2, it can be easily seen that
This ultimately confirms the validity of Theorem 7.
Example 6.
Similarly, if we take all the assumptions of Example 5, then all the hypotheses in Theorem 8 are satisfied.
5. Conclusions
A suitable technique for introducing uncertainty into prediction processes is to use interval-valued functions. Using a new idea from [43], we proved fractional versions of the Hermite–Hadamard-, Fejér-, and Pachpatte-type inequalities. We demonstrated that our findings can generate a few novel findings for the -convex function and h-preinvex functions.A new approach for -ordered interval-valued inequalities involving the well-known Riemann–Liouville fractional integral was introduced. For clarification of the results, some numerical examples were studied as well. In the future, this approach can also be generalized for other fractional operators such as Atangana–Baleanu, Caputo–Fabrizio, tempered, generalized fractional integral operators, etc. Furthermore, this methodology can also be applied to various non-symmetric functions.
This innovative concept can be applied to future presentations of various inequalities, such as those of the Hermite–Hadamard, Ostrowski, Jensen–Mercer, Bullen, and Simpson types. These inequalities can also be established for a variety of interval-valued quantum calculus, fuzzy calculus, and fractional calculus.
Author Contributions
Conceptualization, S.K.S., E.A.-S. and M.T.; Data curation, M.T.; Funding acquisition, K.N.; Investigation, S.K.S., E.A.-S., P.O.M., M.T. and K.N.; Methodology, S.K.S., P.O.M. and K.N.; Project administration, P.O.M. and K.N.; Resources, E.A.-S.; Software, E.A.-S. and P.O.M.; Supervision, P.O.M. and K.N.; Validation, M.T.; Visualization, S.K.S.; Writing—original draft, S.K.S., E.A.-S. and P.O.M.; Writing—review and editing, M.T. and K.N. 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.
Acknowledgments
This work was supported by the National Science, Research, and Innovation Fund (NSRF), Thailand.
Conflicts of Interest
The authors declare no conflict of interest.
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