Abstract
The symmetric function class interacts heavily with other types of functions. One of these is the pre-invex function class, which is strongly related to symmetry theory. This paper proposes a novel fuzzy fractional extension of the Hermite-Hadamard, Hermite-Hadamard-Fejér, and Pachpatte type inequalities for up and down pre-invex fuzzy-number-valued mappings. Using fuzzy fractional operators, several generalizations have been developed, where well-known results fit as particular cases. Additionally, some non-trivial examples are included to support the discussion and the applicability of the key findings. The approach appears trustworthy and effective for dealing with various nonlinear problems in science and engineering. The findings are general and may constitute contributions to complex waveform theory.
1. Introduction
In the literature on mathematical inequalities, the Hermite–Hadamard (HH) inequality emerges as an important, and frequently utilized, result [1,2,3,4,5,6,7,8,9,10]. Other classical and significant inequalities include the Beckenbach–Dresher, Gagliardo–Nirenberg, Hardy, Hölder, Ky Fan, Levinson, Lynger, Minkowski, Olsen, Opial, Ostrowski, Young, arithmetic–geometric, and others [11,12,13,14,15,16,17,18,19,20,21,22,23,24,25].
For a convex mapping on convex set , the HH inequality is written as
For all with . If is concave, then (1) is reversed.
The HH inequality (1), as well as some generalizations, converses, and modifications [26,27,28,29,30,31,32,33,34,35,36,37,38,39], plays a significant role in many scientific disciplines, including statistics, electrical engineering, economics and finance, information sciences, and coding theory.
The notion of convexity has been used in different areas of technology and science. Convex functions and convex sets have been generalized in the scope of numerous fields due to their robustness. The convexity of a function has been demonstrated to exist only when it fulfills an integral inequality (1).
As novel fractional differential and integral operators with exponential kernels emerged as useful tools in several subjects, it became possible to provide novel classes of functional variants for harmonically convex functions, as well as generalizations in the scope of convexity theory.
An important generalization of the HH inequality is the HH–Fejér inequality [40]. Let us consider a convex mapping on a convex set , and with Then, we have
If , then we obtain (1) from (2). For a concave mapping, (2) is reversed. Different inequalities can be derived using distinct symmetric convex mappings, .
Classical calculus underwent enormous development in the last few decades. As an extension of the classical differentiation and integration to non-integer orders, fractional calculus has increased relevance. Indeed, fractional operators can better depict real-world phenomena involving memory and hereditary properties. For instance, Baleanu et al. [41], Miller and Ross [42], and Kilbas et al. [43] discussed numerous applications and extensive methodologies of fractional calculus. The authors of [44,45,46,47,48,49,50,51,52,53,54] provide an overview of many fractional operators.
It has been shown that fractional differential equations capture complex systems’ dynamics more precisely than integer-order ones. Several applications can be found in cosmology, environmental sciences, medicine, biology, materials, image and signal processing, and many other fields.
Fractional integral inequalities are used in the scope of district subjects (please see [55,56,57,58,59,60,61,62,63,64,65,66] and references therein). The calculus of variations in the area of applied sciences has been widely addressed and has become an appealing research-oriented field to address the existence and uniqueness of solutions to fractional equations. For instance, Adil Khan et al. [67] derived the HH inequality for s-convex functions, while Khan et al. [68] considered weighted generalizations of the HH inequality for interval-valued exponential trigonometric functions. For more information, see [69,70,71,72,73,74,75,76,77,78,79,80] and the references therein.
Khan et al. extended the idea of convex interval-valued mappings (I·V·Ms) and convex fuzzy-number-valued mappings (s) by using fuzzy-order relations, such that convex s include (h1, h2)-convex s [81] and harmonic convex s [82]. Moreover, in order to illustrate inequalities of HH, HH–Fejér, and Pachpatte types, they adopted h-pre-invex s [83], (h1, h2)-pre-invex s [84], and higher-order pre-invex s [85]. In recent research, Khan et al. [86] proposed new forms of HH and HH–Fejér inequalities by using the concept of fuzzy Riemann–Liouville (RL) fractional integrals via up and down (UD) pre-invex s. For up-to-date advancements in fuzzy-interval-valued analysis of integral inequalities, please see [87,88,89,90,91,92,93,94,95,96,97,98] and the references therein.
Based on the aforementioned ideas, in this paper, we establish HH, HH–Fejér, and Pachpatte type integral inequalities for UD pre-invex s using the fuzzy fractional integral operator for inferable functions. Additionally, we show complete agreement between the suggested approach and existing results. The new approach appears reliable and effective for dealing with various nonlinear problems in the scope of science and engineering. The findings are general and may constitute contributions to complex waveform theory.
2. Preliminary Concepts and Definitions
We recall a few definitions that will be relevant in what follows.
Let us consider that is the space of all closed and bounded intervals of , and that is given by
If , then we say that is degenerate. In the follow-up, all intervals are considered non-degenerate. If , then we say that is positive. We denote by the set of all positive intervals.
Let and be given by
We consider the Minkowski sum, , product, , and difference, , for , as
Remark 1.
- (i)
- For a given the relation , defined on byfor all is considered a partial interval inclusion relation. Moreover, coincides with on The relation is of UD order (see [96]).
- (ii)
- For a given the relation , defined on by if and only if or , is a partial interval order relation. In addition, we have that coincides with on The relation is of left and right (LR) type [95,96].Given the intervals we consider their Hausdorff–Pompeiu distance as
We have that is a complete metric space [89,93,94].
Definition 1
([88]). A fuzzy subset of is a mapping , which is the denoted membership mapping of . We adopt the symbol to represent the set of all fuzzy subsets of .
Let us consider . If the following properties hold, then we say that is a fuzzy number:
- (1)
- is normal if there exists and
- (2)
- is upper semi-continuous on if for there exist and yielding for all with
- (3)
- is fuzzy convex, meaning that for all and ;
- (4)
- is compactly supported, which means that is compact.
The symbol will be adopted to designate the set of all fuzzy numbers of .
Definition 2
([88,89]). For , the -level, or -cut, sets of are for all , and .
Proposition 1
([90]). Let . The relation , defined on by
is an LR order relation.
Proposition 2
([86]). Let . The relation
, defined on by
is a UD order relation.
If and , then, for every the arithmetic operations, addition “”, multiplication “”, and multiplication by scalar “” can be characterized level-wise, respectively, by
These operations follow directly from Equations (4)–(6), respectively.
Theorem 1
([89]). For , the supremum metric
is a complete metric space, where stands for the Hausdorff metric on a space of intervals.
Theorem 2
([89,90]). If is an I-V·M satisfying , then is Aumann integrable (IA-integrable) over when and only when and are integrable over , meaning
Definition 3
([95]). Let be an . The family of I-V·Ms, for every , is satisfying for every For every the lower and upper mappings of are the end point real-valued mappings .
Definition 4
([95]). Let be an . Then, is continuous at if for every is continuous when and only when and are continuous at
Definition 5
([89]). Let be an . The fuzzy Aumann integral (-integral) of over is
where for every Moreover, is -integrable over if
Theorem 3
([90]). Let be an whose -levels define the family of I-V·Ms satisfying for every and is -integrable over when and only when and are integrable over . Moreover, if is -integrable over , we have
for every
Definition 6
([32]). Let and be the collection of all Lebesgue measurable fuzzy-number-valued mappings on . Then, the fuzzy left and right RL fractional integrals of order of are
and
respectively, where is the Euler gamma function. The fuzzy left and right RL fractional integrals based on left and right end point mappings are
where
and
The RL fractional integral of based on left and right end point mappings can be defined in a similar way.
An interval-valued mapping is a convex interval-valued mapping if
For all , where is the collection of all real-valued intervals. If (24) is reversed, then is said to be concave (see [91]).
Definition 7
([87]). The is convex on if
for all where for all If (25) is reversed, then is said to be concave. Moreover, is named affine if and only if it is convex and concave.
Definition 8
([96]). The is UD convex on if
for all where for all If (26) is reversed then, is UD concave. Moreover, is named UD affine if and only if it is UD convex and concave.
Definition 9
([44]). Let be an invex set. The is UD pre-invex on with respect to if
for all where
The mapping is UD pre-incave on with respect to if (27) is reversed.
Theorem 4
([4]). Let be an whose -levels describe the family of I-V·Ms as
for all and all . The is UD pre-invex on if and only if for all
is pre-invex and is pre-incave.
Definition 10
([4]). Let be an whose -levels describe the family of I-V·Ms as
for all and all . Then, is lower UDpre-invex (pre-incave) on if and only if for all
and
Definition 11
([4]). Let be an whose -levels describe the family of I-V·Ms as
for all and all . Then, is upper UD pre-invex (pre-incave) on if and only if for all
and
Remark 2
([4]). Both concepts UD pre-invex and pre-invex concide when is a lower UD pre-invex , see [84].
Assumption 1
([7]). Let us assume that is an invex set with respect to the bi-function For any and , so it yields
For = 0, we have = 0 if and only if , and for all .
For more details on Assumption 1, please see references [83,84,85,86].
3. Main Results
We develop new results on the well-known fractional HH and HH–Fejér inequalities in the scope of UD pre-invex s. In the follow-up, we denote by the family of Lebesgue measurable s.
Theorem 5.
Let be a UD pre-invex on whose -levels define the family of I⋅V⋅Ms as for all and for all . If satisfies Assumption 1 and , then
If
is UD pre-incave, then
Proof.
Let be a UD pre-invex . If Assumption 1 is verified, then we have
Therefore, for every , we have
By multiplying both sides by and integrating the result with respect to over , it yields
Let and Then, we get
That is,
Thus,
Adopting a similar procedure, we have
Combining (37) and (38) yields
Thus, this concludes the proof. □
Remark 3.
If , then, from Theorem 5, we get [86]
Let us assume . Then, Theorem 5 yields the result for a pre-invex [4]
Let us assume and . Then, Theorem 5 yields the result for convex [86]
If is a lower UD pre-invex , then, from Theorem 5, we get [83]
If is a lower UD pre-invex with , then, from Theorem 5, we get (see [83])
Let us consider and a lower UD pre-invex . Then, Theorem 5 yields the result for pre-invex (see [84])
Let us consider and a lower UD pre-invex F⋅N⋅V⋅M . Then, Theorem 5 yields the result for a convex (see [81])
Let us assume that and with . Then, from Theorem 5, we obtain the classical HH–Fejér type inequality.
Example 1.
Let and the be defined as
For each we have . Since the left and right end point functions and are pre-invex functions with respect to , for each , is a UD pre-invex . We verify that and
Note that
Therefore,
and Theorem 5 is verified.
We now introduce some new forms of fuzzy-interval fractional HH type inequalities for the product of UD pre-invex s, which are known as inequalities of Pachpatte type.
Theorem 6.
Let be two UD pre-invex s on whose -levels are defined by and for all and for all . If and satisfies Assumption 1, then
where
and
Proof.
Since are UD pre-invex s and Assumption 1 holds , then for each we have
and
From the UD pre-invex definition, we get and . Therefore,
Analogously, we have
Adding (48) and (49), we have
Multiplying (50) by and integrating the result with respect to over (0,1), we obtain
It follows that
That is,
Therefore,
and, thus, the theorem is proven. □
Theorem 7.
Let be two UD pre-invex s whose -levels define the family of s given by and for all and for all . If and satisfies Assumption 1, then
where and
Proof.
Consider that are UD pre-invex . By hypothesization, for each we have
Multiplying (52) with and integrating over we get
That is,
Thus, this concludes the proof. □
Example 2.
Let , , and as
Then, for each we have and Since the left and right end point functions , and are pre-invex functions with respect to and for each , then and are UD pre-invex s. We see that and
Note that
Therefore, we have
It follows that
and Theorem 7 has been illustrated.
We now obtain second and first fuzzy fractional HH–Fejér type inequalities for UD pre-invex .
Theorem 8.
Let be a UD pre-invex with whose -levels define the family of given by for all and for all . Let and be symmetric with respect to If satisfies Assumption 1, then
If is UD pre-incave, then inequality (55) is reversed.
Proof.
Let be a UD pre-invex and . Then, for each we have
and
Adding (56) and (57), and integrating over we get
Since is symmetric, then
Since
Then, from (58), we have
That is,
Hence,
□
Theorem 9.
Let be a UD pre-invex with whose -levels define the family of s given by for all and for all . Let and be symmetric with respect to . If satisfies Assumption 1, then
If is UD pre-incave, then the inequality (60) is reversed.
Proof.
Since is a ρ pre-invex , then for we have
Since , then by multiplying (61) by and integrating with respect to over we obtain
Let . Then, we have
Then, from (63), we have
from which we have
That is,
This finishes the proof. □
Example 3.
Let us consider the as
Then, for each we get . Since the end point functions are pre-invex with respect to for each , then is ρ pre-invex . If
then for all . Since and , if , then we get
From (66)–(68), we have
for each Therefore, we have verified Theorem 8.
For Theorem 9, it yields
From (68) and (69), we have
for each
Remark 4.
If , then, from Theorems 8 and 9, we get Theorem 5.
Let . Then, we obtain the HH–Fejér type inequality for ρ pre-invex [4]
Let and be a lower ρ pre-invex . Then, we obtain the HH–Fejér type inequality for lower ρ pre-invex [84]
If with and , then, by means of Theorems 8 and 9, we get the classical HH inequality [97].
If with and , then, by using Theorems 8 and 9, we obtain the classical HH–Fejér inequality (2).
4. Conclusions and Future Work
In this study, the HH, HH–Fejér, and Pachpatte type integral inequalities were successfully derived using the fuzzy fractional integral operator and by employing functions that have UD fuzzy-number pre-invexity properties. A number of generalizations for the pre-invexity theory could be derived. The results appeared trustworthy and effective for dealing with various nonlinear issues that arise in science and engineering. The findings have a general nature and may constitute contributions to complex waveform theory. Further research is required to confirm such a probable connection. In the future, we will focus this concept on the field of quantum calculus.
Author Contributions
Conceptualization, M.B.K.; methodology, M.B.K.; validation, M.S.S. and J.E.M.-D.; formal analysis, S.J. and M.S.S.; investigation, M.B.K., S.J. and J.E.M.-D.; resources, M.S.S. and J.E.M.-D.; data curation, J.E.M.-D. and S.J.; writing—original draft preparation, M.B.K.; writing—review and editing, M.B.K., J.E.M.-D. and M.S.S.; visualization, M.B.K.; supervision, M.B.K. and A.A.M.; project administration, M.B.K., J.E.M.-D. and A.A.M. All authors have read and agreed to the published version of the manuscript.
Funding
The researchers would like to acknowledge Deanship of Scientific Research, Taif University, Saudi Arabia for funding this work.
Data Availability Statement
No data were used to support this study.
Acknowledgments
The authors would like to thank the Rector of COMSATS University Islamabad, Islamabad, Pakistan, for providing excellent research. The researchers would like to acknowledge Deanship of Scientific Research, Taif University, Saudi Arabia for funding this work.
Conflicts of Interest
The authors declare no conflict of interest.
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