Abstract
The relevance of convex and non-convex functions in optimization research is well known. Due to the behavior of its definition, the idea of convexity also plays a major role in the subject of inequalities. The main concern of this paper is to establish new integral inequalities for newly defined left and right convex interval-valued function on coordinates through pseudo order relation and double integral. Some of the Hermite–Hadamard type inequalities for the product of two left and right convex interval-valued functions on coordinates are also obtained. Moreover, Hermite–Hadamard–Fejér type inequalities are also derived for left and right convex interval-valued functions on coordinates. Some useful examples are also presented to prove the validity of this study. The proved results of this paper are generalizations of many known results, which are proved by Dragomir, Latif et al. and Zhao, and can be vied as applications of this study.
1. Introduction
Convex analysis has made major contributions to the improvement of various fields of applied and pure study. In recent decades, there has been a lot of interest in the study and differentiation of many directions of the traditional idea of convexity. There have lately been a slew of convex function extensions and modifications developed. Because the functions discovered in a large number of theoretical and practical economics problems are not classical convex functions, many scholars have been interested in the sweeping generalisation of function convexity in past few decades, such as h-convex functions [1,2,3,4,5], log-convex functions [6,7,8,9], log-h-convex functions [10], and especially coordinated convex functions [11]. Many authors have proposed different expansions and generalizations of integral inequalities for coordinated convex functions since 2001 (see [12,13,14,15,16,17] and the references therein).
Moore’s interval analysis theory, which he proposed in a numerical analysis in [18], has advanced rapidly in recent decades. In computational problems, a computer can be programmed to discover an interval that contains the precise solution. Interval analysis also ensures that the solution to the model equation is tightly contained. Interval analysis is also commonly used in chemical and structured engineering, economics, control circuitry design, robotics, beam physics, behavioural ecology, constraint satisfaction, computer graphics, signal processing, asteroid orbits and global optimization and neural network output optimization [19], and many other fields.
Many writers have merged integral inequalities with interval-valued functions (I-V-Fs) in recent decades, and many great findings have resulted. Costa proposed Opial-type disparities for I-V-Fs in [20]. Chalco-Cano et al. used the generalized Hukuhara derivative to examine Ostrowski-type inequalities for I-V-Fs in [20]. The Minkowski-type inequalities and Beckenbach-type inequalities for I-V-Fs were developed by Roman-Flores et al. in [21,22]. Zhao et al. [23] discovered the Hermite–Hadamard type inequalities for interval-valued coordinated functions very recently.
In a literature review, we noted that most of authors used inclusion relation to obtain different types of inequalities for interval-valued functions, such as Zhao et al. [24] who, in 2008, developed h-convex I-V-Fs (-convex I-V-Fs) and demonstrated the following Hermite–Hadamard type inequality (HH type inequality) for -convex I-V-Fs, based on the above literature.
Theorem 1.
[24] Letbe an-convex I-V-F given byfor allwithandwhereandare-convex and-concave functions, respectively. Ifis interval Riemann integrable (in sort,-integrable), then
where.
Yanrong An et al. [25] took a step forward by introducing the class of -convex I-V-Fs and establishing interval-valued Hermite–Hadamard type inequality for -convex I-V-Fs. We suggest that readers consult [26,27,28] and the references therein for more examination of the literature on the applications and properties of generalized convex functions and HH type integral inequalities.
On the other hand, recently, Zhang et al. [29] introduced pseudo order relation on the space of interval and proposed the new class of convex functions in interval-valued settings by using pseudo order relation, which is known as left and right convex I-V-Fs (LR-convex I-V-Fs). By using this class, they established continuous Jensen’s inequalities and proved that Jensen’s inequality defined by Costa and Roman-Flores [30] is a special case of these inequalities. Khan et al. went a step further by providing new convex and extended LR-convex I-V-F classes, as well as a new fractional HH type and HH type inequalities for LR--convex I-V-F [31], LR--convex I-V-F [32], and LR-log--convex I-V-F [33], and the references therein. We refer the readers to [31,32,33,34,35,36,37,38,39,40] and the references therein for a further analysis of the literature on the applications and properties of fuzzy Riemannian integrals, and inequalities and generalized convex fuzzy mappings.
Motivated and inspired by the research work of Dragomir [11], Latif et al. [16], Hao et al. [23] and Zhang et al. [29], this paper is organized as follows: Section 2 consist of some preliminary notions, and some new definitions and results. Section 3 obtains Hermite–Hadamard and Hermite–Hadamard–Fejér inequalities for left and right convex interval-valued functions (LR-convex I-V-Fs) on coordinates, and some related inequalities via pseudo order relation and interval double integrals. We finalise with Section 4 of conclusion and future plan.
2. Preliminaries
Let be the set of real numbers and be the space of all closed and bounded intervals of , such that is defined by
If , then is said to be degenerate. If , then is called positive interval. The set of all positive interval is denoted by and defined as Let and be defined by
Then, the Minkowski difference , addition and for are defined by
and
The inclusion means that
Remark 1.
[29] (i) The relationis defined onby
for alland it is a pseudo order relation. The relationcoincident toonwhen it is
(ii) It can be easily seen thatlooks like “left and right” on the real lineso we callis “left and right” (or “LR” order, in short).
Forthe Hausdorff–Pompeiu distance between intervalsandis defined by
It is a familiar fact thatis a complete metric space.
Now, we recall the same concept of interval integral operators.
Theorem 2.
[18] If is an I-V-F given by , thenis Riemann integrable overif and only if,andboth are Riemann integrable oversuch that
The collection of all Riemann integrable real valued functions and Riemann integrable I-V-F is denoted byandrespectively.
Note that Theorem 3 is also true for interval double integrals. The collection of all double integrable I-V-F is denoted respectively.
Theorem 3.
[35] Let. Ifis an interval-valued double integrable (-integrable) on , then we have
Definition 1.
[11] The non-negative real valued functionis said to be convex function on coordinateif
for allandIf inequality (7) is reversed, thenis called concave function on coordinate .
Definition 2.
[24] The I-V-Fis said to be convex I-V-F onif
for all. Ifis concave I-V-F on, then inclusion operation in (8) is reversed.
Definition 3.
[35] The I-V-Fis said to be LR-convex I-V-F on coordinateif
for allandIf inequality (9) is reversed, thenis called concave I-V-F on coordinate .
Definition 4.
[29] The I-V-Fis said to be LR-convex I-V-F onif
for all. Ifis concave I-V-F on, then inequality (10) is reversed.
Definition 5.
[31] Let, such that. Then, I-V-Fis said to be-convex I-V-F onif
for allIfis-concave on, then inequality (11) is reversed.
Remark 2.
[31] Ifthen-convex I-V-F becomes-convex I-V-F, which is
Ifthen-convex I-V-F becomes convex I-V-F, which is
Ifthen-convex I-V-F becomes-convex I-V-F, which is
Theorem 4.
[31] Letbe two LR--convex I-V-Fs withandsuch thatandfor all. Ifis interval Riemann integrable, then
and,
where andand
Remark 3.
Ifandthen (15) reduces to the result for convex I-V-F:
and
Ifandthen (16) reduces to the result for convex I-V-F:
Theorem 5.
[31] Letbe a convex I-V-F with, such thatfor all. Ifis interval Riemann integrable andsymmetric with respect toand, then
Ifis concave I-V-F, then inequality (19) is reversed. If, then inequality (19) reduces to the following inequality:
LR-Convex Interval-Valued Functions on Coordiantes
Definition 6.
The I-V-Fis said to be LR-convex I-V-F on coordianteif
for allandIf inequality (21) is reversed, thenis called concave I-V-F on coordinate.
The proof of Lemma 1 is straightforward and will be omitted in this case.
Lemma 1.
Letbe an I-V-F on coordinate . Then,is LR-convex I-V-F on coordinate if and only if there exist two LR-convex I-V-Fs,and,.
Proof.
From the definition of coordinated I-V-F, it can be easily proved. □
From Lemma 1, we can easily note each LR-convex I-V-F is an LR-convex I-V-F on the coordinate. However, the converse is not true (see Example 1).
Theorem 6.
Letbe a I-V-F onsuch that
for all. Then,is LR-convex I-V-F on coordinate if and only if,andare convex functions on coordinate.
Proof.
Assume that and are convex functions on coordinate Then, from (7), for all and we have
and
Then, by (22), (2) and (3), we obtain
That is
and hence, is LR-convex I-V-F on coordinate Conversely, let be LR-convex I-V-F on coordinate Then, for alland , we have
Therefore, again from (22), we have
From (11) and (13), we obtain
for all Then, by LR-convexity on coordinate of , we have for all such that
and
Hence, the result follows. □
Remark 4.
If one takes, thenis known as a function on the coordinate ifsatisfies the coming inequality
is valid which is defined by Dragomir [11].
Let one take and is an affine function and is a concave function. If coming inequality,
is valid, then is named as IVF on the coordinate, which is defined by Zhao et al. ([23], Definition 2 and Example 2).
Example 1.
We consider the I-V-Fs defined by,
Since end point functions are convex functions on the coordinates. Hence is convex I-V-F on the coordinate.
From Example 1, it can be easily seen that each LR-convex I-V-F on the coordinates is not a LR-convex I-V-F.
Theorem 7.
for all. Then,is LR-concave I-V-F on coordinate if and only if,andare concave function on coordinate .
Letbe a coordinated convex set, and letbe a I-V-F such that
Proof.
The demonstration of proof of Theorem 7 is similar to the demonstration proof of Theorem 6. □
Example 2.
We consider the I-V-Fsdefined by,
Since end point functions are concave functions on the coordinate. Hence,is concaveI-V-Fon the coordinate.
3. Hermite–Hadamard Inequalities on Coordinates
In this section, we propose 𝐻𝐻 and 𝐻𝐻–Fejér inequalities for LR-convex I-V-Fs on coordinates, and verify with the help of some nontrivial example. Throughout in this section, we will not include the symbols , , and before the integral sign.
Theorem 8.
Letbe a LR-convex I-V-F on coordinate such thatfor all. Then, following inequality holds:
ifconcave I-V-F then,
Proof.
by using Theorem 6, we have
Let be a LR-convex I-V-F on coordinate. Then, by hypothesis, we have
By using Lemma 1, we have
and
From (26) and (27), we have
and
it follows that
and
Since and , both are LR-convex- I-V-Fs on coordinate, then from inequality (20), inequality (28) and (29) we have
and
Dividing double inequality (30) by , and integrating with respect to over we have
Similarly, dividing double inequality (31) by , and integrating with respect to over we have
By adding (32) and (33), we have
From the left side of inequality (20), we have
Taking addition of inequality (35) with inequality (36), we have
now from right side of inequality (20), we have
By adding inequalities (38)–(41), we have
By combining inequalities (34), (37) and (42), we obtain the desired result. □
Remark 5.
Let one takeas an affine function andas a convex function. If, then from Remark 4 and (24), we acquire the following inequality (see [23]):
If, then from (24), we acquire the coming inequality (see [11]):
Example 3.
We consider the I-V-Fs defined by,
Since end point functions are convex functions on the coordinate, thenis convex I-V-F on the coordinate.
That is
Hence, Theorem 8 is verified.
We now give the 𝐻𝐻–Fejér inequality for the LR-convex I-V-Fs on the coordinate via the pseudo order relation in the following result.
Theorem 9.
Letbe a LR-convex I-V-F on coordinate withandsuch thatfor all. Letwith andwith be two symmetric functions with respect toand, respectively. Then, the following inequality holds:
Proof.
Since both is an LR-convex I-V-Fs on coordinate , it follows, then by Lemma 1, that functions there exist:
Thus, from inequality (19), for each we have
and
The above inequalities can be written as
and
Multiplying (44) by and then integrating the resultant with respect to over , we have
Now, multiplying (45) by and then integrating the resultant with respect to over , we have
Since and then dividing (46) and (47) by and , respectively, we obtain
Now, from the left part of double inequalities (44) and (45), we obtain
and
Summing the inequalities (49) and (50), we obtain
Similarly, from the right part of (44) and (45), we can obtain
and
Adding (52)–(55) and dividing by 4, we obtain
Combing inequalities (48), (51) and (56), we obtain
Hence, this concludes the proof. □
Remark 6.
If one takes, then from (43), we achive (24).
Let one takeis an affine function andis a convex function. If, then from Remark 4 and (43), we obtain the coming inequality (see [23]):
If, then from (43), we obtain the coming inequality (see [11]):
We now obtain some 𝐻𝐻 inequalities for the product of LR-convex I-V-Fs on the coordinates. These inequalities are refinements of some known inequalities (see [11,12,13,16,23]).
Theorem 10.
Letbe two LR-convex I-V-Fs on coordinate , such thatandfor all. Then, the following inequality holds:
where
and,andare defined as follows:
Proof.
and
Let and both are LR-convex I-V-Fs on coordinate . Then
Since and both are LR-convex I-V-Fs on coordinate then by Lemma 1, there exist
and
Since , and are I-V-Fs, then by inequality (17), we have
and
The above inequalities can be written as
and
Firstly, we solve inequality (58), taking integration on the both sides of inequality with respect to over interval and dividing both sides by , we have
Now, again by inequality (17), we have
From (61)–(64), inequality (60), we have
Hence, this concludes the proof of the theorem. □
Remark 7.
Let one take,are an affine function and,are convex function. Ifand, then from Remark 4 and (57), we obtain the coming inequality (see [23]):
Ifand, then from (57), we obtain the coming inequality (see [16]):
Theorem 11.
where,andare given in Theorem 10.
Letbe two d LR-convex I-V-Fs on the coordinate, such thatandfor all. Then, the following inequality holds:
Proof.
and
Since be two LR-convex I-V-Fs, then from inequality (18), we have
Summing the inequalities (66) and (67), then taking the multiplication of the resultant one by 2, we obtain
Now, with the help of integral inequality (18) for each integral on the right-hand side of (68), we have
From (69)–(76), we have
Now, again with the help of integral inequality (18) for first two integrals on the right-hand side of (77), we have the following relation
From (78) and (79), we have
It follows that
Now, using integral inequality (17) for integrals on the right-hand side of (78), we have the following relation
From (81)–(88) and inequality (80) we have
This concludes the proof. □
Remark 8.
Let one take,as an affine function and,as a convex function. Ifand, then from Remark 4 and (65), we obtain the coming inequality (see [23]):
ifand, then from (65), we obtain the coming inequality (see [16]):
4. Conclusions
We introduced LR-convex interval-valued functions on coordinates through pseudo order relation. Moreover, we demonstrated various Hermite–Hadamard type inequalities via LR-convexity for interval-valued functions on coordinates. Our findings broaden the scope of several well-known inequalities and will aid in the development of interval integral inequalities and interval convex analysis theory. Inequalities for preinvex interval-valued functions, as well as certain applications in interval nonlinear programming, are the next steps for this study.
Finally, we think that our findings may be applied to other fractional calculus models having Mittag–Liffler functions in their kernels, such as Atangana–Baleanue and Prabhakar fractional operators. This consideration has been kept as an open problem for academics interested in this topic. Researchers that are interested might follow the steps outlined in references [39,40].
Author Contributions
Conceptualization, M.B.K., H.M.S., and P.O.M.; validation, H.M.S. and P.O.M.; formal analysis, H.M.S. and P.O.M.; investigation, M.B.K. and P.O.M.; resources, M.B.K., K.N. and Y.S.H.; writing—original draft, M.B.K. and K.N.; writing—review and editing, M.B.K. and P.O.M.; visualization, M.B.K. and P.O.M.; supervision, M.B.K. and P.O.M.; project administration, K.N., H.M.S., and P.O.M. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Data Availability Statement
Not applicable.
Acknowledgments
This research was supported by Taif University Researchers Supporting Project (No. TURSP-2020/155), Taif University, Taif, Saudi Arabia, and the National Science, Research and Innovation Fund (NSRF), Thailand.
Conflicts of Interest
The authors declare no conflict of interest.
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