Abstract
Recently, fractional calculus has been the center of attraction for researchers in mathematical sciences because of its basic definitions, properties and applications in tackling real-life problems. The main purpose of this article is to present some fractional integral inequalities of Ostrowski type for a new class of convex mapping. Specifically, n–polynomial exponentially s–convex via fractional operator are established. Additionally, we present a new Hermite–Hadamard fractional integral inequality. Some special cases of the results are discussed as well. Due to the nature of convexity theory, there exists a strong relationship between convexity and symmetry. When working on either of the concepts, it can be applied to the other one as well. Integral inequalities concerned with convexity have a lot of applications in various fields of mathematics in which symmetry has a great part to play. Finally, in applications, some new limits for special means of positive real numbers and midpoint formula are given. These new outcomes yield a few generalizations of the earlier outcomes already published in the literature.
1. Introduction
The theory of inequalities along with convexity property plays an essential part in present-day mathematical investigation. Numerical analysis relies on numerous mathematical inequalities such as the Simpson inequality, Hermite–Hadamard inequality, Bullen-type inequality, Ostrowski inequality, etc. Recently, a broad exploration has been completed on acquiring different variants of traditional inequalities using different methodologies. An exceptionally intriguing methodology is to obtain a fractional version of the inequalities. Inequalities associated with various forms of fractional operator such as Riemann–Liouville fractional operator, Conformable, Katugampola fractional operator, Tempered fractional operator, Generalized proportional fractional, Weighted fractional operator, Caputo fractional operator, etc. assume a critical part in the foundation of the unique solution for fractional differential equations. For some recent articles on fractional inequalities, see References [1,2,3,4,5,6,7,8].
The concept of convexity plays a strong role in the field of mathematical inequalities and mathematical analysis due to the beautiful nature of its classical definition and its algebraic properties. Recently, many authors have explored the close relationship and interrelated work on convexity and symmetry. They have also explained that due to the strong relationship between them, while working on any one of the concepts it can be applied to the other one as well. Convexity theory has gained a lot of attention in recent years and many generalizations and refinements of convexity analysis for inequalities have been found (see, for example [9,10,11,12,13,14,15]).
Fractional operator examines the integrals and derivatives of any order be it real or complex valued. It was introduced by Leibniz and Marquis de l’Hospital in 1695 by talking about the differentiation of functions. In any case, it encountered a fast development throughout the limited time.
In the theory of integral inequalities, Sarikaya et al. [6] introduced the application of fractional integral operator by establishing the fractional analogues of classical Hermite–Hadamard’s inequality using convexity. In [16], Dragomir for the first time established fractional versions of Ostrowski-type inequalities.
In 1938, Ostrowski introduced the following useful and interesting integral inequality, (see [17], page: 468).
Let be a differentiable mapping on the interior of the interval such that where with If for all then the following inequality holds:
holds, where K is the Lipschitz constant which is equal to . The above result (1) is famously known as the Ostrowski inequality. For recent results and related generalizations, variants and extensions about the Ostrowski inequality (see [18,19,20,21,22,23]). This inequality gives us an upper bound for the approximation of the integral average by the value of at the point
The Ostrowski inequality has a great number of applications in different fields of mathematical analysis such as numerical analysis and especially in the theory of approximations. This type of analytic inequality and especially the techniques used in this article have applications in various fields in which symmetry plays a significant role.
In the wake of contemplating writing about convexity theory, propelled and motivated by the continuous generalizations and exploration in this interesting field, we discovered that there exists an exceptional class of convexity known as exponential convexity and recently a great number of researchers are working on this concept for its enhancement. Antczak [24] and Dragomir [25] presented the class of exponential-type convexity. Consequently, Awan [26] contemplated and examined another class of exponential convex function. Very recently, Mahir Kadakal and İşcan [27] presented another meaning of exponential-type convexity. Studying the above-mentioned papers, we have introduced a new definition in this aspect which is called n–polynomial exponential s–convex function. Applying this new definition, we have presented our main results as refinements of the Ostrowski inequality. This is the novelty of our proposed work.
The objective of this paper is to obtain some new novel refinements of Ostrowski’s inequality basically using n–polynomial exponential s–convex function for fractional calculus. We initially attain a new fractional version of the Hermite–Hadamard inequality using a new class of convexity, namely n–polynomial exponential s–convex function. We additionally investigate some important special cases that can be concluded from the presented results of the article. In Section 6 and Section 7, we present a few applications of the presented results. We trust that the thoughts and strategies introduced in this paper will rouse intrigued researchers for further research.
Recently, it has been seen that many scientists are interested in big data analysis, deep learning and information theory using the concept of exponentially convex functions. Hence, we believe that the concept of n–polynomial exponentially convex function using fractional operator can attract the interest of such scientists for further development in the field of deep learning, data analysis and information theory.
Motivated by the advancement of the theory of fractional calculus, ongoing research and literature about integral inequality and convexity, the present paper is structured in the following way: First, in Section 2, we will give some necessary known definitions and literature. Second, in Section 3, we will explore the concept of n–polynomial exponentially s–convex function. In addition, algebraic properties and examples for the newly introduced definition are elaborated. In Section 4, we attain a new fractional version of the Hermite—Hadamard-type inequality. Furthermore, in Section 5, we investigate some novel refinements of the Ostrowski-type inequality and some special cases via the Riemann–Liouville fractional integral operator. Finally, in the next Section, we present some applications to special means and midpoint formula.
2. Preliminaries
In this Section, we recall some known concepts.
Definition 1
([28]). Let be a real-valued function. A function φ is said to be convex, if
holds for all and
The Hermite–Hadamard inequality states that if a mapping is convex on J for and , then
Interested readers can refer to [8,29].
Definition 2
([30]). A function is said to be s–convex in the second sense for a real number or φ belongs to the class of if
holds for all and
Breckner in his article [31] introduced s–convex functions. Hudzik presented several properties and connections with s–convexity in the first sense in [32]. Usually, when we put for s–convexity, it reduces to usual convexity. In [29], Dragomir et al. proved a generalized Hadamard’s inequality, which holds for s–convex functions in the second sense.
Recently, many researchers have investigated the importance and development of the theory of exponentially convex functions. The fruitful importance of exponential-type convexity is that it can be used to manipulate for statistical learning, image processing, stochastic optimization and sequential prediction. In 2020, Kadakal and İşcan investigated a new class of exponential convexity, which is stated as follows:
Definition 3
([27]). A nonnegative real-valued function is known to be an exponential convex function if the following inequality holds:
Definition 4
([33]). A nonnegative real-valued function is called n–polynomial convex, if
holds for every , , and .
Definition 5 (see, for details, [6]) Let . Then the fractional integrals and of order are defined by
and
respectively.
3. Generalized Exponentially –Convex Function
Definition 6.
Let and Then the nonnegative real-valued function is known to be an n–polynomial exponentially s–convex function if the inequality holds:
We represent the class of all n–polynomial exponentially type convex functions on the interval J as for each and
Remark 1.
In Definition 6, if then the 1-polynomial exponentially s- convex function reduces to the classical exponential-type convexity given by İşcan in [27].
Remark 2.
The range of the exponentially s–convex functions for some fixed is
Lemma 1.
For all and for some fixed the following inequalities and hold.
Proof.
Now, we will prove the first inequality i.e., for all and and .
The following inequality is well-known as Bernoulli inequality in mathematical analysis
Thus, we have
Hence,
Consequently, similar computation proves
□
Proposition 1.
Every nonnegative s–convex function is an n–polynomial exponentially s–convex function for
Proof.
Applying Lemma 1 and we have
□
Remark 3.
If in the above proposition , then every nonnegative convex function is an n–polynomial exponentially s–convex function for
Now, we will make some examples in the support of the newly introduced function.
Example 1.
Since, is a nonnegative convex function . Using Remark 3, it is also an n–polynomial exponentially s–convex function for
Example 2.
Since, is a nonnegative convex function on R for any , using Remark 3, it is also an n–polynomial exponentially s–convex function for
Example 3.
Since for all is a nonnegative convex function, using Remark 3, it is also an n–polynomial exponentially s–convex function for
Example 4.
Since for , is a nonnegative convex function. Using Proposition 3, it is also an n–polynomial exponentially s–convex function for
Example 5.
Dragomir [29] clearly investigated and proved that the function is an s–convex function, for the above-mentioned conditions and . In addition, using Proposition 1, it is also an n–polynomial exponentially s–convex function for
Remark 4.
If we assign in Definition 5, we obtain the following definition for 2-polynomial exponentially s-convex function.
4. Hermite–Hadamard Type Inequality via Fractional Operator
In this Section, we present one Hermite—Hadamard-type inequality for the n–polynomial exponentially convex function.
Theorem 1.
Let be a positive function with and φ be an integrable function on the closed interval sets and . If φ is an n–polynomial exponentially s–convex function, then the following inequality for fractional integral with and holds:
Proof.
Let Then, using the definition of n–polynomial exponentially convex function on , we have
Then (10) leads to
Now, multiplying both sides of (11) by and then, integrating the resultant inequality with respect to over [0,1] and, we obtain
Hence, we obtain
The proof of the first part of the inequality (9) is complete.
Next, we prove the second part of the inequality (9) using the fact that is an exponentially s–convex function, we obtain
and
Upon adding the above inequalities, we obtain
Now, multiplying both sides of (14) by , integrating the resultant inequality with respect to over [0,1] and then using the change of variable technique, we obtain
Consequently,
This completes rest of the proof. □
Remark 5.
Exclusively, in Theorem 1, If we assign , then we attain
Remark 6.
Exclusively, in Theorem 1, If we assign then it reduces to [Theorem 3.1, [27].
In the next section, we establish new Ostrowski-type inequalities for n–polynomial exponentially convexity via Riemann–Liouville fractional integral. A useful and interesting feature of our results is that they provide new estimates on these type of inequalities for fractional integrals.
5. Ostrowski-Type Inequalities for –Polynomial Exponentially Convexity via Fractional Integral
To prove our results, we need the following identity (see [34,35]).
Lemma 2.
Suppose a mapping is differentiable on where with If for all and then the following equality holds:
where Γ is the Euler gamma function.
Theorem 2.
Suppose a mapping is differentiable on where with If is n–polynomial exponentially convex on for some and for all then the following inequality holds:
Proof.
From Lemma 2, n–polynomial exponentially convexity of and we have
After further simplifications, proof of Theorem 17 will be completed. □
Corollary 1.
If we assign in Theorem 2, then
Corollary 2.
If we assign in Theorem 2, then
Corollary 3.
If we assign in Theorem 2, then
Corollary 4.
If we assign and in Theorem 2, then
Corollary 5.
If we assign and in Theorem 2, then
Theorem 3.
Suppose a mapping is differentiable on where with If is n–polynomial exponentially convex on for some and for all with then the following inequality holds:
Proof.
Applying Lemma 2 and the well-known Hölder’s inequality, we have
Since is n–polynomial exponentially convex and we obtain
and
□
Corollary 6.
If we assign in Theorem 3, then
Corollary 7.
If we assign in Theorem 3, then
Corollary 8.
If we assign in Theorem 3, then
Corollary 9.
If we assign and in Theorem 3, then
Corollary 10.
If we assign and in Theorem 3, then
Theorem 4.
Suppose a mapping is differentiable on where with Let and . If is n–polynomial exponentially convex on for some and for all with then the following inequality holds:
Proof.
Using Lemma 2 and power mean inequality, we have
Since, is n–polynomial exponentially convexity and we obtain
Consequently, similar computation gives
□
Corollary 11.
If we assign in Theorem 4, then
Corollary 12.
If we assign in Theorem 4, then
Corollary 13.
If we assign in Theorem 4, then
Corollary 14.
If we assign and in Theorem 4, then
Corollary 15.
If we assign and in Theorem 4, then
6. Applications
We recall the following special means for different positive real numbers and as follows:
- The arithmetic mean:
- The Harmonic mean:
- The logarithmic mean:
- The generalized logarithmic mean:
- The Identric mean:
Proposition 2.
Let Then for some fixed we obtain
Proof.
The assertion follows from Corollary 3 by letting and . □
Note:Estimation of “K” for the above Proposition 2 is as follows:
Proposition 3.
Let and Then for some fixed we obtain
Proof.
The assertion follows from Corollary 8 by letting and . □
Note:Estimation of “K” for the above Proposition 3 is as follows:
Proposition 4.
Let Then for some fixed we obtain
Proof.
The assertion follows from Corollary 3 by letting and . □
Note:Estimation of “K” for the above Proposition 4 is as follows:
Proposition 5.
Let Then for some fixed we obtain
Proof.
The assertion follows from Corollary 8 by letting and . □
Note:Similarly, one can estimate the value of “K” as estimated in the above propositions (see Propositions 2–4).
Proposition 6.
Let Then for some fixed we obtain
Proof.
The assertion follows from Corollary 3 by letting , and . □
Note:Similarly, one can estimate the value of "K" as estimated in the above propositions (see Propositions 2–4).
7. Midpoint Formula
Since in [36], suppose d is the division of the interval and consider the quadrature formula
where is the midpoint version and denotes the approximation error and for
Proposition 7.
Suppose a mapping is differentiable on such that where with If is polynomial exponentially convex on then for every division d of the midpoint error satisfy
Proof.
Since applying Corollary 3 with n–polynomial exponentially convexity and on the subinterval
Summing over j from 0 to n−1 and taking into account that is polynomial exponentially convex, we obtain, by the triangle inequality
which completes the proof. □
Note:Similarly, one can estimate the value of "K" as estimated in the above propositions (see Propositions 2–4).
Proposition 8.
Suppose a mapping is differentiable on such that where with in (27), for every division d of If is polynomial exponentially convex on then the midpoint error satisfy
Proof.
By applying the same technique as in proposition (7) but using the Corollary 8 with □
Note:Similarly, one can estimate the value of "K" as estimated in the above propositions (see Propositions 2–4).
8. Conclusions
In this article, we have taken into consideration a critical extension of convexity that is referred to as n-polynomial exponentially s-convex functions and acquired a new Hermite–Hadamard-type inequality and some novel refinements of Ostrowski-type inequalities. We also presented some applications of our established results to special means of two positive real numbers and midpoint formula. In the future, new inequalities for other n-polynomial convex functions can be obtained by using the techniques used in this article.
Author Contributions
Conceptualization, S.K.S., M.T., H.A. (Hijaz Ahmad), J.N., H.A. (Hassen Aydi); methodology, S.K.S., M.T., H.A. (Hijaz Ahmad), J.N., H.A. (Hassen Aydi); validation, S.K.S., M.T., H.A. (Hijaz Ahmad), J.N., H.A. (Hassen Aydi), A.M.; investigation, S.K.S., M.T., H.A. (Hijaz Ahmad), J.N., H.A. (Hassen Aydi); writing— original draft preparation, S.K.S., M.T.; writing—review and editing, S.K.S., M.T., H.A. (Hijaz Ahmad), J.N., H.A. (Hassen Aydi), A.M.; supervision, S.K.S., M.T., H.A. (Hassen Aydi). All authors have read and agreed to the final version of the manuscript.
Funding
Research group Nonlinear Analysis Methods in Applied Mathematics (NAMAM) group number RG-DES-2017-01-17, Prince Sultan University.
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
No data and materials were used to support this study.
Acknowledgments
The last author would like to thank Prince Sultan University for funding this work through research group Nonlinear Analysis Methods in Applied Mathematics (NAMAM) group number RG-DES-2017-01-17.
Conflicts of Interest
The authors declare that they have no competing interests.
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