Abstract
In this article, we establish new Hermite–Hadamard-type inequalities via Riemann–Liouville integrals of a function taking its value in a fractal subset of and possessing an appropriate generalized s-convexity property. It is shown that these fractal inequalities give rise to a generalized s-convexity property of . We also prove certain inequalities involving Riemann–Liouville integrals of a function provided that the absolute value of the first or second order derivative of possesses an appropriate fractal s-convexity property.
1. Introduction
Convexity is considered to be an important property in mathematical analysis. The applications of convex functions can be found in many fields of studies including economics, engineering and optimization (see for example [,]). A well-known result which was identified as Hermite–Hadamard inequalities is the reformulation through convexity. These inequalities, widely reported in the literature, can be defined as follows:
Theorem 1.
Suppose that is a convex function on with , then
These two inequalities, which are refinement of convexity, can be held in reverse order as concave. Following this, many refinements of convex functions using Hermite–Hadamard inequalities have been continuously studied [,,,]. Given the variation of Hermite–Hadamard inequalities, Dragomir and Fitzpatrick [] established a new generalization of s-convex functions in the second sense.
Theorem 2.
Suppose that is a s-convex function in the second sense, where , and . If , then
Though the Hermite–Hadamard inequalities were established for classical integrals [], the inequalities can also hold for fractional calculus, such as Riemann–Liouville [,,], Katugampola [] and local fractional integrals []. Some of these were studied through Mittag–Leffler function [,]. Other important generalizations include the work of Sarikaya et al. [], who proved the Hermite–Hadamard inequalities through fractional integrals as follows:
Theorem 3.
Suppose that is a non-negative function with and . If ψ is convex function on , we have:
where .
The s-convexity mentioned in Hudzik and Maligranda [] was also given as the generalization on fractal sets.
Definition 1
([]). A function is called generalized s-convex in the second sense if
holds for all , , with and for some fixed . The symbol denotes the class of this functions.
The Riemann–Liouville fractional integral is introduced here due to its importance.
Definition 2
([]). Suppose that . The Riemann–Liouville integrals and of order are defined by
and
respectively.
The following lemma for differentiable function is given by Sarikaya et al. [].
Lemma 1.
Let be a differentiable function on with . If , then we have:
Wang et al. [] extended Lemma 1 to include two cases, one of which involves the second derivative of Riemann–Liouville fractional integrals.
Lemma 2.
Let be a twice-differentiable function on with . If , then
holds.
Even though studies were conducted on generalized Hermite–Hadamard inequality via Riemann–Liouville fractional integrals for s-convexity [,,,], inequalities of this type for generalized s-convexity are lacking. Therefore, this paper is aimed at establishing some new integral inequalities via generalized s-convexity on fractal sets. We show that the newly established inequalities are generalizations of Theorem 2. The new Hermite–Hadamard-type inequalities in the class of functions with derivatives in absolute values are shown to be s-convex function on fractal sets. This was achieved using Riemann–Liouville fractional integrals inequalities.
2. Main Results
Our first main result is obtained in the following theorem.
Theorem 4.
Suppose that is a generalized s-convex on , where , and . If , then we obtain
Proof.
Since , we get
Substituting and with in inequality (5), we obtain
Multiplying both sides of (6) by and integrating the resulting inequality with respect to over yields
Then the first inequality in (4) is proved.
Remark 1.
In the second inequality of Theorem 4, the expression for is the best possible. The map given by is generalized s-convex in the second sense, and it satisfies the following equalities:
and
Corollary 1.
By taking in Theorem 4, the inequalities in (2) of Theorem 2 are recovered.
This result is the same as Theorem 2.1 in Dragomir and Fitzpatrick [].
Remark 2.
The equality
implies
Theorem 5.
Suppose that is the mapping given by
where belongs to , , and . Then
- (i)
- on .
- (ii)
- We have the following inequality:
- (iii)
- We have the following inequality:whereand
- (iv)
- If , then we have
Proof.
- (i)
- Let and with , then
- (ii)
- Assume that . Then by the change of variables and , we haveApplying the first generalized Hermite–Hadamard inequality, we obtainand inequality (12) is obtained.If , the inequalityalso holds.
- (iii)
- Applying the second generalized Hermite–Hadamard inequality, we obtainPlease note that if , then the inequalityholds as it is equivalent towhich is known to hold for .
- (iv)
- We haveSinceandthenand the proof of Theorem 5 is complete.
□
Corollary 2.
Choosing in Theorem 5, we have
- (i)
- (ii)
- Sincewe get
Theorem 6.
Let be a differentiable function on where . For some fixed , if is generalized s-convex on , we obtain
Proof.
Applying Lemma 1, we obtain
First, suppose . Since the function is generalized s-convex on , we obtain
Therefore,
Next suppose that . From the power mean inequality and the generalized s-convexity of the function we obtain
In view of inequalities (14), (16) and (17) the proof of Theorem 6 is complete now. □
Corollary 3.
Under the conditions of Theorem 6, we get
- (i)
- If , then
- (ii)
- If , then
- (iii)
- If and
- (iv)
- If and then
Theorem 7.
Let be a differentiable function on where .
If is generalized s-convex on for , we get
Proof.
Since is generalized s-convex on , we obtain
From this fact and applying the Hölder’s inequality, we have
Thus, the inequalities (14) and (18) complete the proof of Theorem 7. □
Theorem 8.
Let be a differentiable mapping on with . For some fixed , if is generalized s-convex on , then we have:
Proof.
By applying Hölder’s inequality and (15), we obtain
Finally, from (14) and (19) we get the desired result. □
Remark 3.
From Theorems 6–8, we obtain the following inequality for
where
Theorem 9.
Let be a twice-differentiable function on with . If, for some fixed , the function is generalized s-convex on the interval , then we have
Proof.
Applying Lemma 2, we have
First, suppose that . Since the mapping is generalized s-convex on , we obtain
Therefore,
where
Secondly, for . From Lemma 2 and the power mean inequality, we have
Hence, from inequalities (21) and (22), we obtain
This completes the proof of Theorem 9. □
Theorem 10.
Let and let the function be twice-differentiable on the open interval , and fix and fix . If, in addition, the function is generalized s-convex on , then
where .
Proof.
From (20), (21) and the Hölder’s inequality, we have
We use
for any , which follows from
where
The proof of Theorem 10 is complete now. □
The following result exhibits another Hermite–Hadamard type inequality in terms of the second derivative of a function.
Theorem 11.
Under the same assumptions of Theorem 10, we have
Proof.
By applying Lemma 2 and the Hölder’s inequality, we obtain
This completes the proof of Theorem 11. □
Remark 4.
From Theorems 9, 10 and 11, we have
where
3. Applications to Special Means
Using the obtained results, we examine some applications to special means of non-negative numbers u and v.
- The arithmetic mean:; with
- The logarithmic mean:; with
- The generalized logarithmic mean:; , with
Using the results obtained in Section 2, and the above applications of means, we get the following proposition.
Proposition 1.
Suppose that , and such that . Then we get the following inequality:
Proof.
This result follows Corollary 3 (ii) applied to the function . □
Proposition 2.
Suppose that , and such that . Then for , we get the following:
Proof.
This result follows from Corollary 3 (iv) applied to the function . □
Proposition 3.
Suppose that such that , then
Proof.
This result follows from Corollary 3 (ii) applied to the function . □
Proposition 4.
Suppose that such that , then
Proof.
This result follows from Corollary 3 (iv) applied to the function . □
Author Contributions
O.A.: writing—original draft preparation, visualization, A.K.: writing–review and editing, supervision.
Funding
This research received no external funding.
Acknowledgments
The authors would like to thank to referees and editors for their very useful and constructive comments and remarks that improved the present manuscript substantially.
Conflicts of Interest
The authors declare no conflict of interest.
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