Abstract
In this study, we establish new integral inequalities of the Hermite–Hadamard type for s-convexity via the Katugampola fractional integral. This generalizes the Hadamard fractional integrals and Riemann–Liouville into a single form. We show that the new integral inequalities of Hermite–Hadamard type can be obtained via the Riemann–Liouville fractional integral. Finally, we give some applications to special means.
1. Introduction
Fractional calculus, whose applications can be found in many disciplines including economics, life and physical sciences, as well as engineering, can be considered as one of the modern branches of mathematics [1,2,3,4]. Many problems of interests from these fields can be analyzed through fractional integrals, which can also be regarded as an interesting sub-discipline of fractional calculus. Some of the applications of integral calculus can be seen in the following papers [5,6,7,8,9,10], through which problems in physics, chemistry, and population dynamics were studied. The fractional integrals were extended to include the Hermite–Hadamard inequality, which is classically given as follows.
Consider a convex function, , if, and only if,
Following this, many important generalizations of Hermite–Hadamard inequality were studied [11,12,13,14,15,16,17], some of which were formulated via generalized s-convexity, which is defined as follows.
Definition 1.
Let . The function is said to be generalized s-convex on fractal sets in the second sense if
This class of function is denoted by (see Mo and Sui [18]).
Hermite–Hadamard-type inequalities have been extended to include fractional integrals. For example, Chen and Katugampola [19] generalized Equation (1) via generalized fractional integrals. Other important extensions of Equation (1) include the work of Mehran and Anwar [20], who studied the Hermite–Hadamard-type inequalities for s-convex functions involving generalized fractional integrals. The definitions of the generalized fractional integrals were given in [21], and we present them as follows.
Definition 2.
Suppose is a finite interval. For order , the two sides of Katugampola fractional integrals for are defined by
and
where , and represents the space of complex-valued Lebesgue measurable functions h on for . The norm is given as
for . For the case , we get
whereby ess sup is the essential supremum.
Even though Katugampola fractional integrals have been used to generalize many inequalities, such as Grüss [22,23], Hermite–Hadamard [24], and Lyapunov [25], this work generalizes Hermite–Hadamard inequality involving Katugampola on fractal sets.
When improving the results in Mehran and Anwar [20], we used Definition 2 together with the following lemma.
Lemma 1.
[19] Suppose that is a differentiable function on , where for and . If the fractional integrals exist, we get
This paper is aimed at establishing some new integral inequalities for generalized s-convexity via Katugampola fractional integrals on fractal sets linked with Equation (1). We presented some inequalities for the class of mappings whose derivatives in absolute value are the generalized s-convexity. In addition, we obtained some new inequalities linked with convexity and generalized s-convexity via classical integrals as well as Riemann–Liouville fractional integrals in form of a corollary. As an application, the inequalities for special means are derived.
2. Main Results
Hermite–Hadamard inequality for s-convexity via generalized fractional integral can be written with the aid of the following theorem.
Theorem 1.
Let be a positive function for and for and . If h is a generalized s-convex function on , then
Proof.
Since h is generalized s-convex function on , for , we get
and
Combining the above inequalities, we have
Multiplying both sides of Equation (3) by , for and integrating it over with respect to t, we obtain
Since
applying the change of variable gives the following
Thus, Equation (4) becomes
In order to prove the first part of Equation (2), since h is generalized s-convex function on , the following inequality is obtained:
for .
Consider and , where .
Applying Equation (5), we have
Multiplying both sides of the Equation (6) by , for and integrating over with respect to t gives the following:
Then, it follows that
where is the Beta function. □
Remark 1.
When substituting and in Equation (2), we obtained the results reported by Dragomir and Fitzpatrick [11].
Example 1.
In the next theorem, the new upper bound for the right-hand side of Equation (1) for generalized s-convexity is proposed. Thus, the generalized beta function is defined as
Note that, as , .
Theorem 2.
Let and . Let be a differentiable function on , and with . If is generalized s-convex on for , we obtain
Proof.
In view of Lemma 1, we have
For the first case, when , and is generalized s-convex on , we have
Therefore,
Calculating and , we get
and
Corollary 1.
Using the similar assumptions given in Theorem 2.
- 1.
- If , we get
- 2.
- If and , then
- 3.
- If , and , we obtain
Theorem 3.
With the similar assumptions stated in Theorem 2, we get the following inequality:
Proof.
Using the fact , a generalized s-convex on with , we get
Applying Equation (8) together with the power mean inequality, we get
□
Remark 2.
Choosing in Theorem 3, we get the following
Remark 3.
When choosing and in Theorem 3, we get
Corollary 2.
Choosing , and in Theorem 3, we obtain
The other type is given by the next theorem.
Theorem 4.
Let and . Let be a differentiable function on where with . For , if is generalized s-convex on , we get
with .
Proof.
Using the Hölder’s inequality, we obtain the following:
The fact is generalized s-convex, and it can be used to obtain the following:
□
Corollary 3.
From Theorems 2–4, for , we obtain the following inequality:
where
and
3. Applications to Special Means
The applications to special means for positive real numbers w and z can be studied through the results obtained.
- The arithmetic mean:.
- The logarithmic mean:.
- The generalized logarithmic mean:
Applying the results in Section 2, together with the applications of means, gives the following propositions.
Proposition 1.
Let , and where . For , we obtain the following:
Proof.
This follows from Corollary 1 (iii) when applied on . □
Proposition 2.
Let , and , where . For , we obtain the following:
Proof.
This follows from Corollary 2 when applied on . □
Proposition 3.
Let , where . For , we obtain
Proof.
This follows from Corollary 1 (iii) when applied on . □
Proposition 4.
Let , where . For , we obtain
Proof.
This follows from Corollary 2 when applied for . □
Author Contributions
O.A., writing—original draft preparation, visualization; A.K., writing—review and editing, supervision. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Conflicts of Interest
The authors declare no conflict of interest.
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