Abstract
This paper aims to introduce a new fractional extension of the interval Hermite–Hadamard (), –Fejér, and Pachpatte-type inequalities for left- and right-interval-valued harmonically convex mappings ( convex mappings) with an exponential function in the kernel. We use fractional operators to develop several generalizations, capturing unique outcomes that are currently under investigation, while also introducing a new operator. Generally, we propose two methods that, in conjunction with more generalized fractional integral operators with an exponential function in the kernel, can address certain novel generalizations of increasing mappings under the assumption of convexity, yielding some noteworthy results. The results produced by applying the suggested scheme show that the computational effects are extremely accurate, flexible, efficient, and simple to implement in order to explore the path of upcoming intricate waveform and circuit theory research.
Keywords:
ℒMSC:
26A33; 26A51; 26D10
1. Introduction
The convexity of mapping stands as one of the most advantageous tools for addressing an array of issues in both pure and applied sciences. Recent research has significantly delved into exploring the attributes and inequalities associated with convexity across various directions; for further insights, refer to [1,2,3] and the cited references. -inequality, extensively applied in numerous practical mathematical domains, notably in probability and optimization, ranks among the pivotal mathematical inequalities concerning convex mappings.
The inequality is written as if is a convex mapping on and with such that
Numerous researchers have paid significant attention to the mean value of a continuous convex mapping , which is endowed with error margins by this foundational inequality. Extensive investigations have explored -type inequalities for various types of convex mappings. For instance, Kórus [4] delved into s-convex mappings, Abramovich and Persson [5] examined N-quasi-convex mappings, while Delavar and De La Sen [6] investigated h-convex mappings, among others. Khan et al. [7], Marinescu and Monea [8], İşcan [9], Kadakal et al. [10], Kadakal and Bekar [11], and the relevant references therein offer valuable insights into the latest advancements in this dynamic field.
Ahmad et al. [12] introduced fractional integrals with exponential kernels as follows to establish a fractional version of the -type inequality:
Definition 1.
Assume is in . The fractional integrals and of order are expressed as follows:
and
Fractional calculus has become an essential tool in applied mathematics and sciences. This topic has attracted considerable interest from researchers. Consequently, many authors have explored various aspects, such as the expansions of trapezium inequalities for k-fractional integrals [13], the –Fejér type inequality for Riemann–Liouville fractional integrals [14], and the –Fejér type inequality for Katugampola fractional integrals [15]. This has fostered a productive interaction among different approaches to fractional calculus and important integral inequalities. For further significant conclusions about fractional integral operators, interested readers should consult [16,17] and their references.
One notable application of set-valued analysis is interval analysis, which plays a significant role in both applied and pure sciences. An interval analysis was initially used to calculate the error boundaries of numerical solutions for finite-state machines. Over the past 50 years, it has become essential in resolving interval uncertainty within computer and mathematical models. Specific applications include computer graphics [18], neural network output optimization [19], and automatic error analysis [20]. Furthermore, interval-valued mappings have been applied in optimization theory, as discussed in [21,22]. In interval fractional calculus, Zhou et al. [23] proposed the following version of interval-fractional integrals with exponential kernels:
Definition 2.
Let be an interval-valued mapping defined by such that is an integrable over . Then, the interval fractional integral operators and of order are stated as follows:
and
Obviously, we have
and
Additionally, Zhou et al. [24] also found the new versions of inequalities over these generalized fractional integrals via exponential trigonometric convex mappings. Moreover, Khan et al. [25,26,27] also presented the fuzzy and interval versions of these fractional integrals via an exponential in the kernel over fuzzy and exponential trigonometric convex mappings and their applications in the inequality theory.
In addition to other scientific disciplines, the electrical circuit theory utilizes Jensen harmonic convexity, which is particularly noteworthy. The total resistance of a group of parallel resistors is calculated by summing the reciprocals of each individual resistance value and then taking the reciprocal of that sum. For example, if the resistances of two parallel resistors are represented as and , the total resistance is given by
This is half of the harmonic mean. Furthermore, the harmonic mean of the effective masses along the three crystallographic directions is the definition of a semiconductor’s “conductivity effective mass.” Moreover, undesirable higher frequencies may be overlaid on the fundamental waveform of harmonically convex mappings, leading to a deformed wave pattern [28]. See [29,30,31,32,33,34,35,36,37] and the references therein for applications.
Following the previously indicated pattern, we establish interval–, –Fejér, and Pachpatte-type integral inequalities for convex mappings using the fractional integral operator for integrable mappings. Additionally, we discuss various generalizations using a more general fractional integral operator with an exponential kernel. Our findings are both more intriguing and practically valuable than the current results. Ultimately, there is perfect agreement regarding the performance and application of the more general operator, demonstrating the suggested approach’s effectiveness in manifesting inequalities through convexity.
2. Preliminaries
Let be the set of real numbers and let contain all bounded and closed intervals within . should be defined as follows:
It is argued that is degenerate if . The interval is referred to as non-negative if , represents the set of all non-negative intervals and is defined as .
Let , be defined with and , so we may define the interval arithmetic as follows:
- Scaler multiplication:
- Minkowski difference
- Addition:
- Multiplication:
The inclusion means that
if and only if , and if and only if
Remark 1.
([32]) (i) The relation is defined on by
if and only if
for all and it is a pseudo-order relation. The relation coincident to on when it is .
(ii) It can be easily seen that looks like “left and right” on the real line so we call “left and right” (or “” order, in short).
Definition 3.
According to [32], the mapping is referred to be convex mapping on if
for all and . If the inequality (15) is reversed, then is referred to be concave mapping on .
Definition 4.
According to [31], the mapping is referred to be -interval-valued harmonically convex mapping ( convex mapping) on if
for all and . If the inequality (16) is reversed, then is referred to be concave mapping on .
3. Generalized Interval Fractional Integrals and Related Hermite–Hadamard Inequalities
Exponential kernels are a feature of new operators for interval-valued fractional integrals. The performance and application of the more general operator are highlighted by the way the suggested method precisely matches inequalities pertaining to convexity and convexity. We now present a generalized form of interval fractional integrals related to fractional integrals with an exponential kernel.
We introduced the more general concept of the fractional integral operator with an exponential in the kernel as follows:
Definition 5.
Let be an interval-valued mapping defined by such that is a non-negative and integrable, and let be a differentiable and strictly non-decreasing on . Then, the interval fractional integral operators and of order are stated as
and
Obviously, we have
and
Next, we give the following description of the one-sided definition of a more extended fractional integral operator with an exponential kernel.
Definition 6.
Let be a mapping such that is a non-negative and integrable, and let be a differentiable and strictly non-decreasing on . Then, the one-sided fractional integral operator is stated as
Obviously, we have
Throughout the upcoming results, we set .
For the applications of newly defined integrals, we now provide the following derivation of the inequality for convex mappings in the frame of a new fractional integral operator.
Theorem 1.
For , there is a non-negative mapping with and . If is a convex mapping on , then
where .
Proof.
By utilizing the convexity of on , we obtain the following for every with :
By choosing , and (24) takes the following form:
By multiplying both sides by , and then integrating them with respect to from 0 to 1, we obtain
Similarly, for , we have
From (26) and (27), we obtain the first inequality.
First, we observe that if is a convex mapping, then for , it provides the second inequality in (23).
and
By adding the above inequalities, we have
After that, one obtains the following by multiplying both sides of (28) by and integrating the inequality from to :
As a result, we have
Which implies that
Hence,
The proof is concluded. □
Remark 2.
As suggested by Iscan in [34], in the limiting situation,
and .
We now go over the Pachpatte-type inequalities proved in Theorems 2 and 3 for convex mappings:
Theorem 2.
For there are two convex mappings, such that with and , then
where
and
Proof.
Since and are convex mappings on , then for ,
and
Adding (34) and (35), we obtain
After that, one obtains the following by multiplying both sides of (35) by and integrating the inequality with respect to from to :
Consequently, we obtain
This concludes the proof of (30). □
Theorem 3.
For , there are two convex mappings , such that with and , then
where
and
Proof.
By utilizing the convexity of the mappings and on , we obtain the following for all :
and
Substituting and , we have
and
After that, one obtains the following by multiplying both sides of (35) by and integrating the inequality with respect to from to :
following appropriate reorganizations, we obtain the intended inequality (36). □
We need the following Lemma 1 in order to produce our next important conclusion, which will let us prove the –Fejér-type inequality.
Lemma 1.
For , there is a mapping integrable and harmonically symmetric with respect to , then
where and .
Proof.
Using the given assumption, we can substitute in the integral below and compute the result.
the desired outcome. □
Theorem 4.
For , there is a convex mapping , such that with and . Also, if there is a non-negative that is integrable and harmonically symmetric with respect to , then
where .
Proof.
For all , we obtain inequality (24) because is an convex mapping on . After multiplying both sides of (25) by , we integrate the inequality from 0 to 1 with respect to .
and
By setting and utilizing , which is harmonically symmetric, we obtain
and
It follows that
and
Lemma 1 is applied to the left side of (49), giving us
and
By multiplying both sides of (25) by and integrating the inequality with respect to from 0 to 1, we can prove the second inequality in (44).
and
From (53) and (54), we have
Again, by setting and after simple calculations, the second inequality is concluded in (44). □
Remark 3.
From Theorems 3 and 4, if , then
- (1)
- Theorem 4 in [35] is obtained if one chooses .
- (2)
- Theorem 2 in [35] can be obtained if one accepts and .
4. New Extensions for Convex Mappings via Interval Fractional Integral with an Exponential in the Kernel
In this article, we will assume that ɦ(g) is a monotone, non-decreasing, non-negative mapping defined on such that , and is continuous on .
Theorem 5.
For , let and be two non-negative mappings with defined on . Additionally, if an convex mapping with and a non-decreasing mapping and a decreasing mapping defined on , then the following inequality is satisfied by the fractional integral operator stated in (21) such that
Proof.
The mapping is non-decreasing according to the hypothesis that is provided. and the mapping are both non-decreasing. There is an obvious decrease in the mapping . Thus, we obtain the following for any :
It follows that
When we multiply (57) by , we obtain
After integrating the inequality from to and multiplying (58) by , which is non-negative because , we obtain
This follows that
Once more, we derive the following by multiplying (59) by , which is non-negative because , and we integrate the resulting identity from to :
It follows that
Now, since is defined on and is a non-decreasing mapping, for , we have
When we multiply (62) by , we obtain a non-negative result because . We then integrate the inequality from to .
Using (21), it is evident that
Thus, we have the necessary outcome from (61) and (63). □
Theorem 6.
For , let and be two non-negative mappings with defined on . Additionally, if an convex mapping with and a non-decreasing mapping and a decreasing mapping is defined on , then the following inequality is satisfied by the fractional integral operator stated in (21) such that
Proof.
The mapping is non-decreasing, just as is. For every , it is evident that the mapping is decreasing. is multiplied, which is non-negative since , and the resulting identity is integrated from 0 to .
Now, since is defined on and is a non-decreasing mapping, for , we have
The mapping is the product of (66), which is non-negative since , and integrating the inequality from to produces
Using (21), it is evident that
Hence, we obtain the necessary outcomes from (67) and (68). □
Remark 4.
Theorem 6 becomes Theorem 5 if one assumes that .
Theorem 7.
For , let , , and be two non-negative mappings with defined on . Additionally, if an convex mapping with and two non-decreasing mappings and and a decreasing mapping are defined on , then the following inequality is satisfied by the fractional integral operator stated in (21) such that
Proof.
Since is defined on and is non-decreasing, for , we have
This is non-negative since and the inequality’s integration from 0 to produces
Using (21), it is evident that
Also, since the mapping is convex mapping and is non-decreasing. Since is non-decreasing, so is . Clearly, the mapping is decreasing for all . Thus,
It follows that
We multiply (74) by , which is non-negative since . By integrating the final identity between 0 to , we obtain
It follows that
Again, we multiply (75) by , which is non-negative since . By integrating the final identity between 0 to , we obtain
It follows that
From (76) and (77), we thus obtain the necessary outcome. □
Theorem 8.
For , let , , and be two non-negative mappings with defined on . Additionally, if an convex mapping with and two non-decreasing mappings and and a decreasing mapping are defined on , then the following inequality is satisfied by the fractional integral operator stated in (21) such that
Proof.
The inequality from to can be integrated to obtain the following result by multiplying both sides of (75) by , which is non-negative because .
Given that on and is non-decreasing, we obtain the following for :
Once we multiply both sides of (80) by and integrate the resulting identity from 0 to , we have
In the same way, if we multiply both sides of (80) by and integrate the inequality from 0 to , we obtain
Therefore, we obtain the desired result. □
Remark 5.
If we set equal to , then Theorem 8 will transform into Theorem 7.
5. Conclusions
The interval fractional integral operators with an exponential kernel have been effectively used in this work to derive interval , –Fejér, and Pachpatte-type integral inequalities involving the interval fractional integral operator. These inequalities are primarily derived from mappings exhibiting convexity. Several generalizations of the convexity theory can be achieved through the key process of adapting the extended form with an exponential in the kernel to the more interval-general fractional integral operator. This study highlights the efficiency of this approach. We validated the findings by presenting two distinct schemes and demonstrating that the results of the proposed method align closely with those of the interval–Riemann–Liouville fractional integral operator. The results clearly indicate that both strategies presented are reliable and effective for addressing various nonlinear problems in science and engineering. We conclude that the findings in this work contribute broadly to the understanding of complex waveforms and circuit theory. Further research is needed to confirm this potential connection.
Author Contributions
Conceptualization, A.F.A. and A.A.; validation, A.F.A.; formal analysis, A.F.A.; investigation, A.A. and S.A.; resources, A.A. and S.A.; writing—original draft, A.A. and S.A.; writing—review and editing, A.A. and A.F.A.; visualization, S.A. and A.A.; supervision, S.A. and A.A.; project administration, S.A. and A.A. All authors have read and agreed to the published version of the manuscript.
Funding
This research was funded by Taif University, Saudi Arabia, project No (TU-DSPP-2024-87).
Data Availability Statement
There is no data availability statement to be declared.
Conflicts of Interest
The authors affirm that they have no conflicts of interest.
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