Abstract
There is no doubt that convex and non-convex functions have a significant impact on optimization. Due to its behavior, convexity also plays a crucial role in the discussion of inequalities. The principles of convexity and symmetry go hand-in-hand. With a growing connection between the two in recent years, we can learn from one and apply it to the other. There have been significant studies on the generalization of Godunova–Levin interval-valued functions in the last few decades, as it has tremendous applications in both pure and applied mathematics. In this paper, we introduce the notion of interval- valued harmonical (h1, h2)-Godunova–Levin functions. Using the new concept, we establish a new interval Hermite–Hadamard and Jensen-type inequalities that generalize the ones that exist in the literature. Additionally, we provide some examples to prove the validity of our main results.
Keywords:
Hermite–Hadamard and Jensen inequalities; harmonical h-convexity; Godunova–Levin functions MSC:
26A48; 26A51; 33B10; 39A12; 39B62
1. Introduction
As introduced in Moore’s celebrated book, interval analysis is one of the key methods used in numerical analysis []. As a result of its success in the last 50 years, various fields have benefited from its use, such as aeroelasticity [], differential equations for the interval [], automatic error analysis [], neural network output optimization [], computer graphics [], and so on. Please refer to the following for a deeper understanding and applications, see e.g., [,,,,].
Mathematics and other scientific fields are highly influenced by inequalities. Many types of inequalities exist, but those involving Jensen, Ostrowski, Hermite–Hadamard, and Minkowski hold particular significance among them. Chalco-Cano et al. recently extended a number of these inequalities to interval-valued functions.; see, e.g., [,,,]. According to several scholars, function convexity is based on inequalities. Many scholars studied the Hermite–Hadamard inequality for convex functions due to its importance. Here is the classical H-H inequality.
There are different classes of convexity that can be represented by this inequality, see e.g., [,,,,]. The concept of harmonic convexity was also introduced in 2014, along with a few H-H inequalities for this type of function []. In 2015, Noor et al. introduced harmonic h-convex functions and some related Hermite–Hadamard inequalities; see e.g., []. In combination with interval analysis, Zhao Dafang et al. and Ruonan Liu recently extended H-H inequality by extending it to interval h-convex functions [], interval harmonic h-convex functions [], interval -convex functions [], and interval harmonical -convex functions []. Ohud Almutairi and Adem Kiliman used the definition of the h-Godunova–Levin function and established the following inequality []. Moreover, for the fuzzy interval- valued functions, Costa [] presents a fuzzy Jensen-type integral inequality, and Hongxin Bai et al. developed Jensen-type inequality for interval-nonconvex functions [].
Our research is primarily motivated by Ohud Almutairi [], Hongxin Bai et al. [], and Ruonan Liu []. We begin by initiating the notion of interval-valued harmonical -Godunova–Levin functions. Then, we construct some new H-H and Jensen-type inequalities for the above-said generalization.
2. Mathematical Backgrounds and Preliminaries
To begin, let us review some definitions, properties, and notations that will be used throughout the article; see []. Let us say that I denote the pack of all intervals of a set of real numbers R; [e] is defined as follows.
, , where real interval is closed and bounded subset of R. The interval is said to have degenerated when and are both equal. We call positive when or negative when . We denote the pack of all intervals of the set of real numbers by of R and use and to define the pack of all positive and negative intervals, respectively. The inclusion “” is defined as follows.
For any random real number and , interval is given as follows.
For and , algebraic operations are defined as follows:
where
For intervals , the Hausdorff–Pompeiu distance is defined as follows; see, e.g., [].
It is generally known that the entire metric space is complete.
Definition 1
([]). Let be such that for each and are Riemann integrable over interval . Then, we say that our function ϑ is Riemann integrable over interval and denoted as
Definition 2
([]). A set is known as harmonical convex set if
and .
Definition 3
([]). A positive function is said to be a Godunova–Levin if
and .
Definition 4
([]). A function is known as harmonically convex function, if
and .
Definition 5
([]). Let be a non-negative function and S be harmonically convex set with . We state that is known as harmonical h-convex function, if
and .
Definition 6
([]). Let be a non-negative function. We state that is known as h-Godunova–Levin function, if
for all and .
Definition 7
([]). Let be a non-negative function. We state that is known as harmonical h-Godunova–Levin function, if
for all and .
Definition 8
([]). Let be a non-negative functions. We state is known as harmonical -Godunova–Levin function, if
for all and .
Remark 1.
- If , then Definition 8 reduces to a harmonical P-convex function [].
- If and , then Definition 8 reduces to a harmonical convex function [].
- If and , then Definition 8 reduces to a harmonical h-convex function [].
- If and , then Definition 8 reduces to a harmonical s-Godunova–Levin function [].
3. Main Results
Preliminaries were closed by introducing the new harmonic interval-valued Godunova–Levin functions. This idea is influenced by An et al. [].
Definition 9.
Suppose is a non-negative functions such that and let S be a harmonical Godunova–Levin set. We state that is known as a harmonical -Godunova–Levin(GL) interval-valued convex function, if
and . If the above inclusion is reveresed in Definition 9, then function ϑ is known as harmonical -GL concave interval-valued functions. The spaces of all harmonical -GL convex and -GL concave interval-valued functions are denoted by and , respectively.
Proposition 1.
Let be harmonical interval- valued -GL function such that . Then, if iff and if
Proof.
Let be -GL convex interval valued function. Assume , . Then, we have the following.
That is, the following is obtained.
It follows that we have
and
This shows that and Conversely, suppose that and . Based on the above definition and set inclusion, we obtain the following: The proof has now been completed. □
Proposition 2.
Let be harmonical interval valued -GL function such that . Then, if iff and if This is similar to Proposition 1.
3.1. Hermite–Hadamard Inequalities
In this section, we prove some inequalities of the Hermite-Hadamard type for harmonically ()-Godunova-Levin interval-valued functions.
Theorem 1.
Throughout the entire process, we can follow . Let be a continuous functions. If and , then the following is the case.
Proof.
We begin by assuming that , then
where
and
Then, we obtain the following.
Multiplying both sides by the following:
we obtain
Integrating both sides of the above inequality over , we have
Therefore,
and
It follows that we have the following.
Similarly, we have the following.
This implies the following.
Divide both sides by ; then, the first inclusion of Theorem 2 is proved.
Based on our hypothesis, we can obtain the following.
Add these two and integrate over ; we then have the following.
Since, at , both integrals are equal, the following is implied.
Dividing by two, we obtain the following.
□
Remark 2.
Theorem 1 reduces to harmonical P-functions for interval-valued if :
Theorem 1 reduces to harmonical h-Godunova–Levin interval-valued functions if :
Theorem 1 reduces to harmonical interval-valued h-convex functions if :
Theorem 1 reduces to harmonic -convex interval-valued functions if :
Example 1.
Let and where , and is defined by Then, the following is the case.
Thus, we obtain the following.
Consequently, the above theorem is verified.
Theorem 2.
Let be a continuous function. If and , then we have
where
Proof.
We begin by assuming that and ; for we have
and we obtain the following.
Integrating both sides of the above inequality over , we have the following.
Then, the above inequality become the following.
Similarly, for interval we have the following.
Now, the following is obtained.
This complete the proof. □
Example 2.
Let and where , and are defined by
Consider the following.
Thus, we obtain the following.
Consequently, the above theorem is verified.
Theorem 3.
Let be a continuous functions. If and , then we have
where
Proof.
We assume that ; then, we have the following.
Then, the following is obtained.
Integrating both sides of the above inequality over , we have the following.
It follows that
The theorem is proved. □
Example 3.
Let and where , , and ϑ, is defined as
Then, the following is the case.
It follows that
Consequently, the above theorem is verified.
Theorem 4.
Let be a continuous functions. If and , then we have
Proof.
By hypothesis, one has the following.
Then, the following is the case.
Integrating both sides of the above inequality over , we have the following.
Multiply both sides by for the above equation, we obtain the following.
This complete the proof. □
Example 4.
Let and where , , and is defined as
Then, we obtain the following.
It follows that
Consequently, the above theorem is verified.
3.2. Jensen-Type Inequality
In this section, we prove Jensen-type inequality for harmonically -Godunova-Levin interval-valued functions.
Theorem 5
([,]). Let with . If is non-negative super multiplicative functions and ϑ be non-negative harmonic interval-valued -Godunova–Levin function or with . Then, one has the following:
where .
4. Conclusions
In the literature, Jensen’s and Hermite–Hadamard inequalities are extensively discussed. Furthermore, the close relationship between convex inequalities and optimization opens up an entirely new research perspective. In this study, we introduced harmonical interval-valued -Godunova–Levin function, and we established Jensen- and Hermite–Hadamard-type inequalities. To demonstrate the validity of our primary findings, we also covered several exceptional instances and included some examples. This study extends many existing results. In the future, we will try to investigate this idea by utilizing various fractional integral operators, including Riemann–Louisville, Katugampola, and generalized K-fractional operators.
Author Contributions
Conceptualization, W.A. and K.S.; methodology, A.A.L.; software, K.S.; validation, W.A., A.A.L. and K.S.; formal analysis, W.A.; investigation, K.S.; resources, A.A.L.; data curation, K.S.; writing—original draft preparation, W.A.; writing—review and editing, A.A.L.; visualization, W.A.; supervision, K.S.; project administration, A.A.L.; funding acquisition, A.A.L. 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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