Abstract
The objective of this research is to study in detail the fractional variants of Ostrowski–Mercer-type inequalities, specifically for the first and second order differentiable s-convex mappings of the second sense. To obtain the main outcomes of the paper, we leverage the use of conformable fractional integral operators. We also check the numerical validations of the main results. Our findings are also validated through visual representations. Furthermore, we provide a detailed discussion on applications of the obtained results related to special means, q-digamma mappings, and modified Bessel mappings.
MSC:
26A33; 26A51; 26D07; 26D10; 26D15; 26D20
1. Introduction
In 1937, Alexandar Markowich Ostrowski [1] discovered an integral inequality known as the Ostrowski inequality, stated as:
Let (Real numbers) be a differentiable mapping on the interior of such that is integrable on , where with . If for all and , then
holds for all , and is the best possible constant.
Ostrowski’s inequality provides an approximation of the difference between mapping values and their integral average over a given interval. For more than 5000 years, inequalities have been seen in wide applications. The oldest was recorded in ancient Chinese mathematics, called the He Chengtian inequality [2]. By utilizing this inequality, He Chengtian calculated the approximate values of the fractional day of a moon and a year. Over the course of time, researchers have broadened the scope of convex mappings, leading to the discovery of various variants of the Hermite–Hadamard inequality, see [3,4,5,6,7,8,9,10,11,12,13,14].
The class of convex mappings is regarded as cornerstone of the theory of inequalities with a wide range of applications in many areas of mathematics such as in numerical integration, special means and special functions.
A mapping is said to be convex, if
One of the prolific results concerning to the convexity property of the mappings is Jensen’s inequality (see [15]) interpreted as:
For a convex mapping , we have
where and are non-negative weights with , , and .
A new variant of Jensen’s inequality known as Jensen–Mercer inequality was introduced by Mercer [16] in 2003, stated as:
For a convex mapping , we have
for all , and .
Kian and Moslehian [17] obtained the Hermite–Hadamard–Jensen–Mercer inequality for convex mappings, as follows:
For a convex mapping and , we have
For more work on Jensen–Mercer-type inequalities, see [18,19,20,21,22].
Over time, the researchers have extended the definition of convex mappings to obtain different variants of Hermite–Hadamard inequality. The concept of s-Breckner convex mappings, or s-convex mappings in the second sense , was introduced by Breckner [23] in 1978; this is a generalized class of convex mappings such that for , it reduces back to convexity.
A mapping is said to be s-convex mapping in the second sense, when
holds for all , and . The geometrical aspect of s-convexity is that a curved chord joining any two points always lies above the mapping’s graph. The inequality (2) is identical to the inequality (1), when .
Cortez and Hernández [24] have proved Jensen–Mercer inequality for s-convex mapping with as follows:
for all , and .
For s-convex mapping, , and , the Hermite–Hadamard–Jensen–Mercer inequality is given in [24] as follows:
Fractional calculus, dealing with integrals and derivatives of arbitrary real order, has significantly contributed to the characterization of diverse real materials, such as polymers. The fractional models are more adequate than the previous used models of integer orders, see [25,26,27]. In addition to classical derivatives, fractional order derivatives offer superior capabilities in describing the memory and hereditary characteristics of diverse processes. In [28], Podlubny discussed various applications of fractional derivatives. Riemann, Liouville, Grünwald and other researchers defined the fractional derivatives in several ways given in [28,29].
To investigate the characteristics of fractional differentiability and local scaling, the fractional derivatives were not suitable because of their non-local nature [30]. By renormalization of the Riemann–Liouville definition, Kolwankar and Gangal [30,31] proposed the idea of local fractional derivatives. The calculus of fractal space-time is studied with the help of local fractional derivatives. In addition, two-scale fractal theory is utilized to study problems involving porous media and unsmooth boundaries [32,33,34]. Moreover, the fractional derivatives are also utilized to find the approximate solutions of the fractional differential equations, see [35,36].
Probably the most frequently used definition of fractional integrals is due to B. Riemann and J. Liouville, commonly known as the Riemann–Liouville fractional integrals, defined as follows:
Let be an integrable mapping on . Then, the left and right sided Reimann–Liouville fractional integrals and of order with are defined by:
and
where is the gamma mapping defined as:
For more details, see [37].
When the fractional operators are closely examined, various features such as singularity, locality, generalization and differences in their kernel structures become apparent. Although generalizations and inferences are the foundations of mathematical methods, the new fractional operators add new features to solutions, particularly for the time memory effect. In the literature, there are various fractional operators with local, nonlocal, singular and non-singular kernels, [38,39,40,41]. Jarad et al. [42] defined conformable fractional integrals and derivatives with two parameters and kernels, which are helpful to the better understanding of the complexity of fractional variational problems, optimal control problems and modelling of complex systems.
For an integrable mapping on , the left and right-conformable fractional integrals and of order (Complex numbers), , are defined as:
and
When in (5) and (6), then they coincides with (3) and (4), respectively. They also coincide with the Hadamard fractional integral [43] by setting and in (5) and and in (6). In addition, by choosing in (5) and in (6), we have the generalized fractional integrals [44].
Let us recall beta mapping or Euler integral of the first kind with two variables defined by:
In terms of gamma mapping, it is defined as:
Some properties of beta function are:
- The beta function is symmetric i.e., .
- .
- .
- .
The motivation of this paper is to establish several new fractional variants of Ostrowski–Mercer-type inequalities using the first and the second order s-convex mappings of second sense. To achieve this goal, we employ conformable fractional integral operators. The main results’ relevance has also been analyzed numerically and graphically. In addition, we also demonstrate some applications to means, q-digamma mappings, and modified Bessel mappings.
2. Ostrowski–Mercer-Type Inequalities for the First Order Differentiable -Convex Mappings
In this section, we first establish a key lemma for the first differentiable mappings involving conformable fractional integrals. Then, by utilizing this result, we obtain several inequalities for the first order differentiable mappings whose absolute values are s-convex in the second sense.
Lemma 1.
Let be a differentiable mapping on and is integrable mapping on , then for all , , and , the following identity holds:
Proof.
Consider
Applying integration by parts, we have
Similarly,
The proof is completed. □
Remark 1.
Setting and in Lemma 1, we obtain Lemma 2 in [1].
Remark 2.
Setting , and in Lemma 1, we obtain Lemma 1 in [3].
Theorem 1.
For a differentiable mapping on and if is an s-convex mapping in the second sense on . Then, under the assumptions of Lemma 1, the following inequality holds:
where
and the beta mapping is defined in (7).
Proof.
Using Lemma 1 and the Jensen–Mercer inequality with the s-convexity of on , we obtain
Since
Which implies
The proof is completed. □
Remark 3.
By setting and in Theorem 1, we obtain Theorem 7 in [1].
Remark 4.
By setting , , and in Theorem 1, we obtain Theorem 2 in [4].
Corollary 1.
If we set , and in Theorem 1, we obtain
Corollary 2.
If we set and in Theorem 1, we obtain
Corollary 3.
If we set , and in Theorem 1, we obtain
Corollary 4.
By considering in Theorem 1, we obtain
Corollary 5.
Taking in Corollary 4, we obtain
Remark 5.
If we set and in Corollary 5, we obtain Theorem 2 in [5].
Remark 6.
Taking , and in Corollary 4, we obtain Corollary 1 in [1].
Theorem 2.
For a differentiable mapping on and if is an s-convex mapping in the second sense on and . Then, under the assumptions of Lemma 1, the following inequality holds:
where and is the beta mapping defined in (7).
Proof.
Using Lemma 1 and the Hölder inequality for integrals, we have
Now, by applying the Jensen–Mercer inequality with the s-convexity of , we have
The proof is completed. □
Remark 7.
By setting and in Theorem 2, we obtain Theorem 8 in [1].
Remark 8.
By setting , , and in Theorem 2, we obtain Theorem 3 in [4].
Corollary 6.
If we set and in Theorem 2, we obtain
Corollary 7.
If we set , and in Theorem 2, we obtain
Corollary 8.
If we set , and in Theorem 2, we obtain
Corollary 9.
By considering in Theorem 2, we obtain
Corollary 10.
Taking in Corollary 9, we obtain
Remark 9.
If we set and in Corollary 10, we obtain Theorem 3 in [5].
Remark 10.
Taking , and in Corollary 9, we obtain Corollary 2 in [1].
Theorem 3.
For a differentiable mapping on and if is an s-convex mapping in the second sense on and . Then, under the assumptions of Lemma 1, the following inequality holds:
where is the beta mapping defined by (7) and and are defined in Theorem 1.
Proof.
Using Lemma 1, power mean inequality and the Jensen–Mercer inequality with the s-convexity of , we have
The proof is completed. □
Remark 11.
By setting and in Theorem 3, we obtain Theorem 9 in [1].
Remark 12.
By setting , , and in Theorem 3, we obtain Theorem 4 in [4].
Corollary 11.
If we set , and in Theorem 3, we obtain
Corollary 12.
By considering in Theorem 3, we obtain
Corollary 13.
Taking in Corollary 12, we obtain
Remark 13.
If we set and in Corollary 13, we obtain Theorem 4 in [5].
Remark 14.
Taking , and in Corollary 12, we obtain Corollary 3 in [1].
Theorem 4.
For a differentiable mapping on and if is an s-convex mapping in the second sense on with and . Then, under the assumptions of Lemma 1, the following inequality holds:
Proof.
Taking modulus of Lemma 1 and using Young’s inequality, i.e., (equality holds when ), we have
Now, applying the Jensen–Mercer inequality with the s-convexity of , we obtain
The proof is completed. □
Corollary 14.
By considering in Theorem 4, we obtain
Remark 15.
If we set and in Theorem 4, we obtain Theorem 5 in [4].
3. Ostrowski–Mercer-Type Inequalities for the Twice Differentiable -Convex Mappings
In this section, we first establish a key result for the twice differentiable mappings involving conformable fractional integrals. Then, by utilizing this result, we obtain several inequalities for the twice differentiable mappings whose absolute values are s-convex in the second sense.
Lemma 2.
Let be twice differentiable mapping on and is integrable mapping on , then for all , , and , the following identity holds:
Proof.
Consider
Applying integration by parts, we have
Since we have proved in Lemma 1:
Which implies
Similarly,
The proof is completed. □
Theorem 5.
For a twice differentiable mapping on and if is an s-convex mapping in the second sense on . Then, under the assumptions of Lemma 2, the following inequality holds:
where
and
Proof.
Using Lemma 2 and the Jensen–Mercer inequality with the s-convexity of , we obtain
The proof is completed. □
Corollary 15.
Setting with and in Theorem 5
Corollary 16.
If we set and in Theorem 5, we obtain
Corollary 17.
By considering in Theorem 5, we obtain
Theorem 6.
For a twice differentiable mapping on and if is an s-convex mapping in the second sense on and . Then, under the assumptions of Lemma 2, the following inequality holds:
where
and .
Proof.
Using Lemma 2 and the Hölder inequality for integrals, we have
Now, by applying the Jensen–Mercer inequality with the s-convexity of , we have
The proof is completed. □
Corollary 18.
Setting with and in Theorem 30
Corollary 19.
If we set and in Theorem 30, we obtain
Corollary 20.
By considering in Theorem 30, we obtain
Theorem 7.
For a twice differentiable mapping on and if is an s-convex mapping in the second sense on and . Then, under the assumptions of Lemma 2, the following inequality holds:
where , and are defined in Theorem 5.
Proof.
Using Lemma 2, power mean inequality and the Jensen–Mercer inequality with the s-convexity of , we have
The proof is completed. □
Corollary 21.
Setting with and in Theorem 7
Corollary 22.
If we set and in Theorem 7, we obtain
Corollary 23.
By considering in Theorem 7, we obtain
Theorem 8.
For a twice differentiable mapping on and if is an s-convex mapping in the second sense on with and . Then, under the assumptions of Lemma 2, the following inequality holds:
Proof.
Taking modulus of Lemma 2 and using Young’s inequality, i.e., (equality holds when ), we have
Now, applying the Jensen–Mercer inequality with the s-convexity of , we obtain
The proof is completed. □
Corollary 24.
Setting with and in Theorem 8
Corollary 25.
If we set and in Theorem 8, we obtain
Corollary 26.
By considering in Theorem 8, we obtain
4. Numerical Examples and Visual Analysis
Throughout this section, for the numerical verification, the following assumptions will be considered:
Suppose with , , , , and .
Now from Theorem 1, we have and from Theorem 5, we have . This proves the numerical validation of these results.
Next in Figure 1, we present the graphical visualization of Theorems 1 and 5. For this we consider the above mentioned assumptions and and .
Now from Theorem 2, we have and from Theorem 6, we have . This proves the numerical validation of these results.
In Figure 2, we present the graphical visualization of Theorems 2 and 6. For this we consider the above mentioned assumptions and and .
Now from Theorem 3, we have and from Theorem 7, we have . This proves the numerical validation of these results.
Next in Figure 3, we present the graphical visualization of Theorems 3 and 7. For this we consider the above mentioned assumptions and and .
Now from Theorem 4, we have and from Theorem 8, we have . This proves the numerical validation of these results.
Now in Figure 4, we present the graphical visualization of Theorems 4 and 8. For this we consider the above mentioned assumptions and and .
5. Applications
In this section, we will discuss some applications of our results.
5.1. Special Means
For positive real numbers , the following means are well known in the literature:
- The arithmetic mean
- The generalized log mean
Proposition 1.
If and . Then, for all and , the following inequality holds:
Proof.
Setting in Corollary 2, we obtain the desired inequality. □
Proposition 2.
If and . Then, for all and , the following inequality holds:
Proof.
Setting in Corollary 16, we obtain the desired inequality. □
5.2. -Digamma Mapping
For , the -digamma mapping is given in [45,46] as follows:
For and , the -digamma mapping can be defined as follows:
Proposition 3.
Let , , and . Then, for all and , we have
Proof.
The assertion can be obtained immediately by using Corollary 7 with the is a completely monotone mapping on for all and consequently, is convex. □
5.3. Modified Bessel Function
In [46], the modified Bessel mapping of the first kind is given as follows:
where and .
The modified Bessel mapping of the second kind (see [46]) is given as follows:
The mapping can be defined as follows:
where is the gamma mapping.
In [46], the following derivative formulas of are given as follows:
and
Proposition 4.
Let and . Then, for all and , we have
6. Conclusions
To summarize, this research study introduces new fractional versions of Ostrowski–Mercer-type inequalities by using the first and the second order differentiable s-convex mappings, achieved by using the conformable fractional integral operators. The significance and applicability of our main results have been discussed thoroughly by numerical examples and graphical analysis. We have also discussed the applications of our outcomes pertaining to special means, q-digamma functions, and modified Bessel functions. We hope that this study will inspire interested readers working in this field.
Author Contributions
Conceptualization, S.R. and M.U.A.; methodology, S.R., M.U.A., M.V.-C. and H.B.; software, S.R. and M.U.A.; validation, S.R., M.U.A., M.V.-C. and H.B.; formal analysis, S.R., M.U.A., M.V.-C. and H.B.; investigation, S.R., M.U.A., M.V.-C. and H.B.; writing—original draft preparation, S.R., M.U.A., M.V.-C. and H.B.; writing—review and editing, S.R., M.U.A., M.V.-C. and H.B.; visualization, S.R., M.U.A., M.V.-C. and H.B.; supervision, M.U.A. 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
The authors are grateful to the editor and the anonymous reviewers for their valuable comments and suggestions. Miguel Vivas-Cortez thanks the Pontificia Universidad Católica del Ecuador for the support through the project: “Algunos resultados cualitativos sobre ecuaciones diferenciales fraccionales y desigualdades integrales”.
Conflicts of Interest
The authors declare no conflict of interest.
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